Description:FIELD OF INVENTION
[0001] Embodiments of a present disclosure relates to driver safety management, and more particularly to a computer-implemented system and method for driver safety management of an electric vehicle.
BACKGROUND
[0002] Sometimes, accidents may happen when a rider is speeding an electric vehicle while taking left or right turns. Generally, in a two-wheeler, the rider may have to lean when turns are encountered to compensate roll over torque, which is generated by high speeds. Majority of the riders riding the two-wheeler, are not skilled in art of analysing to what extent the rider must lean in order to take a turn of a particular radius, at specified high speed. The aforementioned issue should not lead to toppling or rolling over roads, which may lead to the accident. Hence, while taking turns at high speeds, the accidents happen because of lack of knowledge of the electric two-wheeler dynamics characteristics by the rider.
[0003] During high-speed cornering since all the riders are not skilled, the riders do not know the limiting speed as per radius of turn to prevent roll over and may lead to meeting with the accident.
[0004] US20220097682A1 discloses an active safety suspension system. In this case, a rapid-response active suspension system controls a suspension force and a position for improving vehicle safety and drivability. The rapid-response active suspension system may interface with various sensors that detect safety critical vehicle states and adjusts suspension of each wheel to improve safety. Pre-crash and collision sensors may notify the active suspension controller of a collision and a stance may be adjusted to improve occupant safety during an impact while maintaining active control of wheels. Wheel forces may also be controlled to improve the effectiveness of vehicle safety systems such as anti-lock braking system (ABS) and Electronic Stability Programme (ESP) in order to improve traction. Further, bi-directional information may be communicated between the active suspension system and other vehicle safety systems such that each system may respond to information provided to the other. However, cost of manufacturing of active suspension controller may be high which may result in less usability from user perspective.
[0005] US20200294401A1 discloses a method and apparatus for collecting and using sensor data from a vehicle. In this case a road hazard, including at least one of: a traffic collision, traffic regulation violation, road surface damage, or any other traffic obstruction, is detected by a sensor in a vehicle. The sensor data is sent periodically, or upon detecting the anomaly, to a server over the internet via a first wireless network, together with a vehicle identifier (i.e., a vehicle identification number (VIN) or the license plate number) and its Global navigation satellite system (GNSS) or global positioning system (GPS) geographic location. The server analyzes the sensor data, and in response sends a notification message to a client device, including at least one of: a smartphone, or to a group of vehicles in close vicinity to the first vehicle, via a wireless network over the Internet. The received message may be used by each of the vehicles in the group for controlling, limiting, activating, or otherwise affecting an actuator operation, or may be used for notifying the driver using a dashboard display. However, looking at the dashboard display while driving may cause accidents as the existing system merely provides notification to the driver using the dashboard display.
[0006] Hence, there is a need for an improved computer-implemented system and method for driver safety management of an electric vehicle, to address the aforementioned issues.
SUMMARY
[0007] This summary is provided to introduce a selection of concepts, in a simple manner, which is further described in the detailed description of the disclosure. This summary is neither intended to identify key or essential inventive concepts of the subject matter nor to determine the scope of the disclosure.
[0008] In accordance with one embodiment of the disclosure, a computer-implemented system for driver safety management of an electric vehicle is provided. The computer-implemented system comprises one or more sensors. The one or more sensors is configured to (a) determine a status of ignition, in at least one of: an OFF state and an ON state, from an ignition unit, (b) compute a real time wheel speed of the electric vehicle based on motion of one or more wheels of the electric vehicle, (c) compute a real time roll moment and acceleration of the electric vehicle while a user is turning the electric vehicle in a turn, and (d) compute a real time steering angle of the electric vehicle based on a turning angle of a steering of the electric vehicle while the user is turning the electric vehicle in the turn. The at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle are computed in real time when the one or more sensors (106) determines the status of ignition in ON state.
[0009] The computer-implemented system further comprises an electronic control unit (ECU) that is connected to the one or more sensors. The electronic control unit (ECU) is configured to: (a) receive a plurality of computed real time data of the electric vehicle from the one or more sensors, (b) extract one or more vehicle parameters from the plurality of computed real time data, (c) validate the extracted one or more vehicle parameters by applying the plurality of computed real time data to an artificial intelligence-based decision model, (d) determine a difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, and (e) generate one or more alerts for the determined difference in the extracted one or more vehicle parameters. The plurality of computed real time data is associated with at least one of: the real time wheel speed, the real time roll moment and acceleration, and the steering angle, of the electric vehicle.
[0010] The computer-implemented system further comprises a human machine interface (HMI) that is connected to the electronic control unit (ECU). The human machine interface (HMI) is configured to output the one or more alerts to the user of the electric vehicle. The one or more alerts comprises at least one of: an audio alert through a buzzer, and a visual alert through a light emitting diode, of the electric vehicle.
[0011] In an embodiment, the one or more sensors comprises an ignition sensor connected to the ignition unit, for determining the status of ignition, in at least one of: an OFF state and an ON state, of the electric vehicle. The one or more sensors further comprises a wheel speed sensor connected to the motor controller for computing the real time wheel speed of the electric vehicle from the motor controller, based on the motion of one or more wheels of the electric vehicle. The one or more sensors further comprises an inertial measurement unit (IMU) sensor configured to compute the real time roll moment and acceleration of the electric vehicle while a user is turning the electric vehicle in a turn. The one or more sensors further comprises a steering angle sensor configured to compute the real time steering angle of the electric vehicle based on the turning angle of the steering of the electric vehicle while the user is turning the electric vehicle in the turn.
[0012] In another embodiment, the one or more vehicle parameters comprises at least one of: current state of the ignition, current steering angle, and current wheel speed, of the electric vehicle.
[0013] In yet another embodiment, in validating the extracted one or more vehicle parameters by applying the plurality of computed real time data to the artificial intelligence-based decision model, the electronic control unit (ECU) is configured to: (a) dynamically correlate each of the one or more vehicle parameters with corresponding pre-stored one or more vehicle parameters, (b) apply one or more validation-based rules on each of the correlated one or more vehicle parameters, and (c) validate of the one or more vehicle parameters based on the one or more validation-based rules applied on each of the correlated one or more vehicle parameters.
[0014] In yet another embodiment, in determining the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, the electronic control unit (ECU) is configured to: (a) identify a deviation in current values of the one or more vehicle parameters, based on the validation of the one or more vehicle parameters using the one or more validation-based rules, and (b) determine the difference in the extracted one or more vehicle parameters when the deviation in the current values of the one or more vehicle parameters exceeds a threshold value.
[0015] In yet another embodiment, in determining the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, the electronic control unit (ECU) is configured to: (a) determine whether the status of the ignition is ON state based on the signal received from the ignition unit, and (b) compute limiting speed based on at least one of: the tilt angle and the steering angle of the electric vehicle. The tilt angle is computed based on the real time roll moment computed from the inertial measurement unit (IMU) sensor. The at least one of: the tilt angle and the limiting speed are computed when the status of the ignition is in ON state.
[0016] In yet another embodiment, in generating the one or more alerts for the determined difference in the extracted one or more vehicle parameters, the electronic control unit (ECU) is configured to: (a) determine whether the status of the ignition in OFF state based on a signal received from the ignition unit, and (b) trigger OFF the one or more alerts when the status of the ignition is OFF state.
[0017] In yet another embodiment, in generating one or more alerts for the determined difference in the extracted one or more vehicle parameters, the electronic control unit (ECU) is configured to: (a) compare the plurality of computed real time data associated with the real time wheel speed, with the computed limiting speed, (b) trigger OFF the one or the more alerts when the plurality of computed real time data associated with the real time wheel speed is below a threshold value of the computed limiting speed, and (c) trigger ON the one or the more alerts through at least one of: the light emitting diode (LED) and the buzzer of the human machine interface (HMI) of the electric vehicle when the plurality of computed real time data associated with the real time wheel speed is above the threshold value of the computed limiting speed.
[0018] In yet another embodiment, the electronic control unit (ECU) is configured to trigger at least one of: ON and OFF the one or more alerts based on at least one of: the plurality of computed real time data, at least one of: ON and OFF status of a brake switch, and a mode of ride of the electric vehicle.
[0019] In yet another embodiment, the electronic control unit (ECU) is connected to the human machine interface (HMI) through at least one of: a wireless connection and a wired connection.
[0020] In yet another embodiment, the visual alert comprises at least one of: blinking of the light emitting diode, displaying instructions via a display unit.
[0021] In yet another embodiment, the human machine interface (HMI) comprises a visual zone, and wherein the visual zone is configured to send the visual alert to be visualized by the user of the electric vehicle.
[0022] In one aspect, a computer-implemented method for driver safety management of an electric vehicle is disclosed. The computer-implemented method comprises determining, by one or more sensors, a status of ignition, in at least one of: an OFF state and an ON state, from an ignition unit. The computer-implemented method further comprises computing, by the one or more sensors, a real time wheel speed of the electric vehicle, based on motion of one or more wheels of the electric vehicle. The computer-implemented method further comprises computing, by the one or more sensors, a real time roll moment and acceleration of the electric vehicle while a user is turning the electric vehicle in a turn. The computer-implemented method further comprises computing, by the one or more sensors, a real time steering angle of the electric vehicle based on a turning angle of a steering of the electric vehicle while the user is turning the electric vehicle in the turn. The at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle are computed in real time when the one or more sensors determines the status of ignition in ON state.
[0023] The computer-implemented method further comprises receiving, by an electronic control unit (ECU), a plurality of computed real time data of the electric vehicle from the one or more sensors. The plurality of computed real time data is associated with at least one of: the real time wheel speed, the real time roll moment and acceleration, and the steering angle, of the electric vehicle. The computer-implemented method further comprises extracting, by an electronic control unit (ECU), one or more vehicle parameters from the plurality of computed real time data.
[0024] The computer-implemented method further comprises validating, by the electronic control unit (ECU), the extracted one or more vehicle parameters by applying the plurality of computed real time data to an artificial intelligence-based decision model. The computer-implemented method further comprises determining, by the electronic control unit (ECU), a difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters. The computer-implemented method further comprises generating, by the electronic control unit (ECU), one or more alerts for the determined difference in the extracted one or more vehicle parameters. The computer-implemented method further comprises outputting, a human machine interface (HMI), the one or more alerts to the user of the electric vehicle. The one or more alerts comprises at least one of: an audio alert through a buzzer, and a visual alert through a light emitting diode, of the electric vehicle.
[0025] To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.
BRIEF DESCRIPTION OF THE DRAWINGS
[0026] The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:
[0027] FIG. 1 is a block diagram of a computer-implemented system for driver safety management of an electric vehicle, in accordance with an embodiment of the present disclosure;
[0028] FIG. 2 is a schematic representation of an electronic architecture of the computer-implemented system for driver safety management of the electric vehicle, in accordance with an embodiment of the present disclosure;
[0029] FIG. 3 is an exemplary process flowchart depicting functioning of a computer-implemented method for the driver safety management of the electric vehicle, in accordance with an embodiment of the present disclosure;
[0030] FIG. 4 is an exemplary process flowchart depicting functioning of the computer-implemented method for the driver safety management of the electric vehicle, in accordance with an embodiment of the present disclosure;
[0031] FIG. 5 is an exemplary process flowchart depicting a solution, at a time as a precautionary measure to prevent a driver meeting with an accident on icy, watery, and snowy road, of the computer-implemented method for the driver safety management of the electric vehicle, in accordance with an embodiment of the present disclosure;
[0032] FIG. 6 is an exemplary process flowchart depicting a solution at a time as a precautionary measure to prevent the driver meeting with an accident in a highway, of the computer-implemented method for the driver safety management of the electric vehicle, in accordance with an embodiment of the present disclosure; and
[0033] FIG. 7 is an exemplary process flowchart depicting the computer-implemented method for the driver safety management of the electric vehicle, in accordance with an embodiment of the present disclosure.
[0034] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.
DETAILED DESCRIPTION
[0035] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated online platform, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.
[0036] The terms “comprises”, “comprising”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or subsystems or elements or structures or components preceded by “comprises... a” does not, without more constraints, preclude the existence of other devices, subsystems, elements, structures, components, additional devices, additional subsystems, additional elements, additional structures, or additional components. Appearances of the phrase “in an embodiment”, “in another embodiment” and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.
[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, devices, methods, and examples provided herein are only illustrative and not intended to be limiting.
[0038] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.
[0039] Embodiments of present invention relates to a system for driver safety management of an electric vehicle is provided. The system comprises an ignition sensor, one or more sensors, a motor controller, an electronic control unit (ECU) and a human machine interface (HMI).
[0040] FIG. 1 is a block diagram of the computer-implemented system 100 for driver safety management of an electric vehicle 102, in accordance with an embodiment of the present disclosure. The computer-implemented system 100 includes one or more sensors 106. The one or more sensors 106 is connected to at least one of: an ignition unit 104, and a motor controller 108 of the electric vehicle 102. In an embodiment, the one or more sensors 106 may include at least one of: an ignition sensor, a wheel speed sensor, an inertial measurement unit (IMU) sensor, and a steering angle sensor. The one or more sensors 106 is configured to determine a status of ignition, in at least one of: an OFF state and an ON state, from the ignition unit 104 of the electric vehicle 102.
[0041] The one or more sensors 106 is further configured to compute a real time wheel speed of the electric vehicle 102, based on motion of one or more wheels of the electric vehicle 102. The one or more sensors 106 is further configured to compute a real time roll moment and acceleration of the electric vehicle 102 while a user (i.e., a driver of the electric vehicle 102) is turning the electric vehicle 102 in a turn. In an embodiment, the terms user and driver are used interchangeably in the below description. The one or more sensors 106 is further configured to compute a real time steering angle of the electric vehicle 102 based on a turning angle of a steering of the electric vehicle 102 while the user is turning the electric vehicle 102 in the turn. In an embodiment, the at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle 102 are computed in real time when the one or more sensors 106 determines the status of ignition in ON state.
[0042] The computer-implemented system 100 further includes an electronic control unit (ECU) 110 that is connected to the one or more sensors 106. The electronic control unit 110 is configured to receive a plurality of computed real time data of the electric vehicle 102 from the one or more sensors 106. The plurality of computed real time data is associated with at least one of: the real time wheel speed, the real time roll moment and acceleration, and the steering angle, of the electric vehicle 102. The electronic control unit 110 is further configured to extract one or more vehicle parameters from the plurality of computed real time data.
[0043] The electronic control unit 110 is further configured to validate the extracted one or more vehicle parameters by applying the plurality of computed real time data to an artificial intelligence-based decision model. The electronic control unit 110 is further configured to determine a difference (e.g., an abnormal condition) in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters. The electronic control unit 110 is further configured to generate one or more alerts for the determined difference in the extracted one or more vehicle parameters. The computer-implemented system 100 further includes a human machine interface (HMI) 112 that is connected to the electronic control unit 110. The human machine interface 112 is configured to output the one or more alerts to the user of the electric vehicle 102. In an embodiment, the one or more alerts includes at least one of: an audio alert (i.e., an audio warning) through a buzzer 116, and a visual alert (i.e., a visual warning) through a light emitting diode (LED) 114, of the electric vehicle 102. In an embodiment, the visual alert includes at least one of: blinking of the light emitting diode 114, displaying instructions through a display unit. In an embodiment, the human machine interface 112 may include a visual zone, and the visual zone is configured to send the visual alert to be visualized by the user of the electric vehicle 102. In an embodiment, the one or more alerts may include a text alert that is shown in the display unit of the electric vehicle 102. In an embodiment, the electronic control unit 110 is connected to the human machine interface 112 through at least one of: a wireless connection and a wired connection.
[0044] The wireless connection is configured to connect the electronic control unit 110 with the human machine interface 112 wirelessly through an internet connection by connecting both the electronic control unit 110 and the human machine interface 112 to a wireless network adapter. For example, the wireless network adapter includes at least one of: a router, a modem, and the like. The wired connection is configured to connect the electronic control unit 110 and the human machine interface 112 through a wired means. The wired means includes a connection of the electronic control unit 110 and the human machine interface 112 with the help of at least one of: a plurality of ethernet cables, and the like.
[0045] As used herein, the term electric vehicle 102 is defined as a mode of transport which is powered by electricity. The electric vehicle 102 includes an electric motor instead of an internal combustion engine (ICE). The electric vehicle 102 uses a large traction battery pack to power the motor and the electric vehicle 102 is plugged into one of a charging station and a wall outlet to charge. As used herein, the term driver/user is defined as a person who drives the electric vehicle 102. The electric vehicle 102 may include at least one of: a car, a motorcycle, a truck, a bus, and the like.
[0046] FIG. 2 is a schematic representation of an electronic architecture 200 of the computer-implemented system 100 for the driver safety management of the electric vehicle 102, in accordance with an embodiment of the present disclosure. The electronic architecture 200 includes the ignition unit 104, the one or more sensors 106, the motor controller 108, the electronic control unit 110, the human machine interface 112, the light emitting diode 114 for the visual alert, the buzzer 116 for the audio alert 112. The one or more sensors 106 includes at least one of: an ignition sensor 210, a wheel speed sensor 202, an IMU sensor 204, a steering angle sensor 206, a brake switch 208, and a mode 212.
[0047] The ignition sensor 210 is connected to the ignition unit 104, for determining the status of ignition, in at least one of: an OFF state and an ON state, of the electric vehicle 102. The ignition sensor 210 is initially configured to detect/determine the status of ignition of the electric vehicle 102. The ignition sensor 210 is further configured to collect the status of ignition of the electric vehicle 102. The ignition sensor 210 is further configured to determine the status of ignition in at least one of: ON and OFF based on the collected status of the ignition. The ignition sensor 210 is further configured to send the determined status of ignition of the electric vehicle 102 through a plurality of signals to the computer-implemented system 100.
[0048] The wheel speed sensor 202 is connected to the one or more wheels of the electric vehicle 102, for computing the real time wheel speed of the electric vehicle 102 and for transmitting the real time wheel speed of the electric vehicle 102 to the electronic control unit 110 through the motor controller 108, based on the motion of the one or more wheels of the electric vehicle 102. The IMU sensor 204 is configured to compute the real time roll moment and acceleration of the electric vehicle 102 while the driver is turning the electric vehicle 102 in the turn. The steering angle sensor 206 is configured to compute the real time steering angle of the electric vehicle 102 based on the turning angle of the steering of the electric vehicle 102 while the driver is turning the electric vehicle 102 in the turn.
[0049] The at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle 102 are computed in real time when the ignition sensor 210 determines the status of ignition in ON state. The electronic control unit 110 is connected to the one or more sensors 106. The electronic control unit 110 is configured to receive the plurality of computed real time data of the electric vehicle 102 from the one or more sensors 106. The plurality of computed real time data is associated with at least one of: the real time wheel speed, the real time roll moment and acceleration, and the steering angle, of the electric vehicle 102.
[0050] The electronic control unit 110 is further configured to extract the one or more vehicle parameters from the plurality of computed real time data. In an embodiment, the one or more vehicle parameters include at least one of: current state of the ignition, current steering angle, and current wheel speed, of the electric vehicle 102. The electronic control unit 110 is further configured to validate the extracted one or more vehicle parameters by applying the plurality of computed real time data to an artificial intelligence-based (AI-based) decision model. The electronic control unit 110 validates the extracted one or more vehicle parameters by (a) dynamically correlating each of the one or more vehicle parameters with corresponding pre-stored one or more vehicle parameters, (b) applying one or more validation-based rules on each of the correlated one or more vehicle parameters, and (c) validating the one or more vehicle parameters based on the one or more validation-based rules applied on each of the correlated one or more vehicle parameters. In an embodiment, the validation of the one or more vehicle parameters includes success and failure. In an embodiment, the artificial intelligence-based decision model may be at least one of: a decision tree AI model, a random forest AI model, a linear regression AI model, and the like.
[0051] The electronic control unit 110 is further configured to determine the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters. In other words, the electronic control unit 110 is further configured to determine the abnormal conditions in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters. The electronic control unit 110 determines the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters by (a) identifying a deviation in current values of the one or more vehicle parameters, based on the validation of the one or more vehicle parameters using the one or more validation-based rules, and (b) determine the difference in the extracted one or more vehicle parameters when the deviation in the current values of the one or more vehicle parameters exceeds a threshold value.
[0052] The electronic control unit 110 is configured to determine whether the status of the ignition is ON state based on the signal received from the ignition unit 104. The electronic control unit 110 is further configured to compute at least one of: tilt angle and limiting speed corresponding to the electric vehicle 102 based on the plurality of computed real time data received from the one or more sensors 106. In an embodiment, the limiting speed is computed based on at least one of: the tilt angle and the steering angle of the electric vehicle 102. In an embodiment, the at least one of: the tilt angle and the limiting speed are computed when the status of the ignition is in ON state.
[0053] In an embodiment, the electronic control unit 110 is configured to generate the one or more alerts for the determined difference in the extracted one or more vehicle parameters. The electronic control unit 110 is configured to determine whether the status of the ignition in OFF state based on a signal received from the ignition unit 104. The electronic control unit 110 is configured to trigger OFF the one or more alerts when the status of the ignition is OFF state.
[0054] In another embodiment, the electronic control unit 110 is configured to compare the plurality of computed real time data associated with the real time wheel speed, with the computed limiting speed. The electronic control unit 110 is configured to trigger OFF the one or the more alerts when the plurality of computed real time data associated with the real time wheel speed is below a threshold value of the computed limiting speed. The electronic control unit 110 is configured to trigger ON the one or the more alerts through at least one of: the light emitting diode (LED) 114 and the buzzer 116 of the human machine interface (HMI) 112 of the electric vehicle 102 when the plurality of computed real time data associated with the real time wheel speed is above the threshold value of the computed limiting speed.
[0055] The brake switch 208 is configured to be turned ON and OFF. The mode 212 of the electric vehicle 102 is at least one of: neutral and ride. When the mode 212 of the electric vehicle 102 is neutral then the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are turned OFF. When the mode 212 of the electric vehicle 102 is in ride, then the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered based on types of ride. The types of ride include of at least one of: high ride, medium ride, and low ride.
[0056] FIG. 3 is an exemplary process flowchart 300 depicting functioning of a computer-implemented method for the driver safety management of the electric vehicle 102, in accordance with an embodiment of the present disclosure. At step 302, a plurality of inputs is collected from at least one of: the ignition sensor 210, the wheel speed sensor 202, the IMU sensor 204, the steering angle sensor 206, the brake switch 208. In an embodiment, the plurality of inputs comprise the plurality of data associated with at least one of: the status of ignition, the real time wheel speed, the real time roll moment and acceleration, the real time steering angle, a status of the brake switch 208, and the mode 212, of the electric vehicle 102. At step 304, a check for the status of ignition is performed. If the status of the ignition of the electric vehicle 102 is OFF, then at step 308, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. Further, if the status of the ignition of the electric vehicle 102 is ON, then at step 306, a check for status of the mode 212 is performed. If the status of the mode 212 of the electric vehicle 102 is neutral, then at step 308, the light emitting diode 114 for the visual alert and the buzzer for the audio alert are triggered OFF. Further, at step 306, if the status of the mode 212 of the electric vehicle 102 is in ride, then, at step 310, the real time wheel speed of the electric vehicle 102 is computed while the driver is turning the electric vehicle 102 in the turn via the wheel speed sensor 202 based on the motion of the one or more wheels of the electric vehicle 102.
[0057] In an embodiment, the limiting speed is computed with the help of a set of rules which is based on the steering angle and the computed tilt angle. For example, if the driver drives the electric vehicle 102 at a particular steering angle and the computed tilt angle beyond a threshold value of the computed limiting speed, then the electric vehicle 102 rolls and causes harm to the driver. The set of rules are not limited to receipt of stated inputs. In an embodiment, values of centre of gravity, wheel base, and other factors are also added, in order to improve the set of rules. In another embodiment, the values of the centre of gravity, the wheel base, and the other factors are pre-defined as per specific electric vehicle 102.
[0058] Further, at step 310, if the real time wheel speed of the electric vehicle 102 is less than the threshold value of the computed limiting speed, then, at step 308, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. At step 312, if the real time wheel speed is greater than the threshold value of the computed limiting speed of the electric vehicle 102, then the status of the brake switch 208 is collected. Further at step 312, if the status of the brake switch 208 is ON, then, at step 308, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. Furthermore, at step 312, if the status of the brake switch 208 is OFF, then, at step 314, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered ON. Further, the light emitting diode 114 for the visual alert is provided by at least one of: blinking of the light emitting diode 114, the displaying instructions through the display unit, and the like. The buzzer 116 for the audio alert is provided by producing buzz sound by the buzzer 116, and the like. Further, the light emitting diode 114 for the visual alert provides the displaying instruction in order to guide the driver to prevent roll over incident. Further, at step 314, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert is triggered OFF, by changing the status of the brake switch 208 to OFF, at step 312, to ensure the real time wheel speed is less than the threshold value of the computed limiting speed. The below truth table depicts functioning of the method for the driver safety management of the electric vehicle 102.
Cases Ignition Mode Speed Brake Visual Alert Audio Alert
1 OFF NEUTRAL/ RIDE < x value ON/OFF OFF OFF
2 ON NEUTRAL < x value ON/OFF OFF OFF
3 ON RIDE (LOW) > x value OFF ON ON
4 ON RIDE (MEDIUM) > x value OFF ON ON
5 ON RIDE (HIGH) > x value OFF ON ON
6 ON RIDE (LOW) < or > x value ON OFF OFF
7 ON RIDE (MEDIUM) < or > x value ON OFF OFF
8 ON RIDE (HIGH) < or > x value ON OFF OFF
9 ON RIDE (LOW) < x value ON/OFF OFF OFF
10 ON RIDE (MEDIUM) < x value ON/OFF OFF OFF
11 ON RIDE (HIGH) < x value ON/OFF OFF OFF

[0059] According to the above table, 11 exemplary scenarios to depict the functioning of the method for driver safety management of the electric vehicle 102 are provided. The plurality of inputs in the table is collected from the electric vehicle 102. Further, the plurality of inputs are collected using at least one of: the ignition sensor 210, the wheel speed sensor 202, the IMU sensor 204, the steering angle sensor 206, the brake switch 208, and the mode 212. According to first exemplary scenario, if the ignition status collected by the ignition sensor 210 is OFF, the mode 212 of the electric vehicle 102 is in at least one of neutral and ride, the wheel speed of the electric vehicle 102 is greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is at least one of ON and OFF, then in first exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. According to second exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is neutral, the wheel speed of the electric vehicle 102 is greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is at least one of: ON and OFF, then in second exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF.
[0060] According to third exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in low mode type of ride, the wheel speed of the electric vehicle 102 is greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is OFF, then in third exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered ON. According to fourth exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in medium mode type of ride, the wheel speed of the electric vehicle 102 is greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is OFF, then in fourth exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered ON. According to fifth exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in high mode type of ride, the wheel speed of the electric vehicle 102 is greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is OFF, then in fifth exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered ON.
[0061] According to sixth exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in low mode type of ride, the wheel speed of the electric vehicle 102 is less than or greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is ON, then in sixth exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. According to seventh exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in medium mode type of ride, the wheel speed of the electric vehicle 102 is less than or greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is ON, then in seventh exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF.
[0062] According to eighth exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in high mode type of ride, the wheel speed of the electric vehicle 102 is less than or greater than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is ON, then in eighth exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. According to ninth exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in low mode type of ride, the wheel speed of the electric vehicle 102 is less than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is one of ON and OFF, then in ninth exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF.
[0063] According to tenth exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in medium mode type of ride, the wheel speed of the electric vehicle 102 is less than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is one of ON and OFF, then in tenth exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. According to eleventh exemplary scenario, if the ignition status collected by the ignition sensor 210 is ON, the mode 212 of the electric vehicle 102 is in high mode type of ride, the wheel speed of the electric vehicle 102 is less than the threshold value of the computed limiting speed as collected by the wheel speed sensor 202, and the brake switch 208 is one of ON and OFF, then in eleventh exemplary scenario, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF.
[0064] FIG. 4 is an exemplary process flowchart 400 depicting functioning of the computer-implemented method for the driver safety management of the electric vehicle 102, in accordance with an embodiment of the present disclosure. At step 402, an input is collected from the electric vehicle 102 to identify the roll over sensor value of the electric vehicle 102. At step 404, if the roll over sensor value of the electric vehicle 102 is greater than the threshold value of the tilt angle, then the one or more alerts in form of the text message is sent to the human machine interface 112.
[0065] FIG. 5 is an exemplary process flowchart 500 depicting a solution, at a time as a precautionary measure to prevent the driver meeting with an accident on icy, watery, and snowy road, of the method for the driver safety management of the electric vehicle 102, in accordance with an embodiment of the present disclosure. At step 502, the status of ignition of the electric vehicle 102 is determined using the ignition sensor 210. At step 504, if the status of ignition of the electric vehicle 102 is OFF, then at step 506, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. Further at step 504, if the status of ignition of the electric vehicle 102 is ON, then, at step 504, a plurality of inputs are collected. Further, the plurality of inputs are collected using at least one of: the IMU sensor 204 and the wheel speed sensor 202. Furthermore, the IMU sensor 204 is configured to compute the acceleration of vehicle to compute relative acceleration value of the electric vehicle 102. Furthermore, the wheel speed sensor 202 is configured to compute the wheel speed of the electric vehicle 102 and acceleration of a specific wheel is derived. The derived acceleration for the specific wheel is used to compute relative acceleration of the specific wheel.
[0066] At step 508, if the relative acceleration value derived from the wheel speed of the electric vehicle 102 is not greater than the relative acceleration value computed from the IMU sensor’s 204 feedback of the electric vehicle 102, then, at step 510, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. Further, at step 508, if the relative acceleration value computed from the wheel speed of the electric vehicle 102 is greater than the relative acceleration value computed from the IMU sensor of the electric vehicle 102, then, at step 512, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered ON.
[0067] FIG. 6 is an exemplary process flowchart 600 depicting a solution, at a time as a precautionary measure to prevent the driver meeting with the accident in a highway, of the method for the driver safety management of the electric vehicle 102, in accordance with an embodiment of the present disclosure. At step 602, a check for status of the ignition is performed. At step 602, if the status of ignition of the electric vehicle 102 is OFF, then, at step 606, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. Further, if the status of ignition of the electric vehicle 102 is ON, then at step 604, the plurality of inputs are collected. In an embodiment, the plurality of inputs are computed using at least one of: the wheel speed sensor 202, the steering angle sensor 206, and the IMU sensor 204. Further, the real time wheel speed of the electric vehicle 102 is computed using the wheel speed sensor 202 through the motor controller 108. Furthermore, the steering angle of the electric vehicle 102 is computed using the steering angle sensor 206. Furthermore, the roll moment of the electric vehicle 102, when the driver is turning the electric vehicle 102, is computed using the IMU sensor 204. At step 608, the tilt angle and the limiting speed are computed by the electronic control unit 110, based on at least one of: the computed real time wheel speed, the computed real time roll moment and acceleration, and the computed real time steering angle.
[0068] The tilt angle is computed based on the roll moment computed by the IMU sensor 204. The limiting speed is computed with the help of the set of rules, which is based on the steering angle and the tilt angle. For example, if the driver turns the electric vehicle 102 at the particular steering angle and the tilt angle beyond the threshold value of the computed limiting speed, then the electric vehicle 102 rolls and causes harm to the driver. This set of rules are not limited to receipt of stated inputs. In an embodiment, the values of centre of gravity is also added in order to improve the set of rules. In another embodiment, the values of the centre of gravity are pre-defined as per specific electric vehicle 102.
[0069] At step 610, a comparison of the real time wheel speed and the computed limiting speed is performed. If the real time wheel speed is not greater than the threshold value of the computed limiting speed, then, at step 612, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF. Further, if the real time wheel speed is greater than the threshold value of the computed limiting speed, then, at step 614, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered ON. Further, at step 614, the light emitting diode 114 for the visual alert and the buzzer 116 for the audio alert are triggered OFF, if the wheel speed of the electric vehicle 102 is less than the threshold value of the computed limiting speed of the electric vehicle 102, at step 608. Further, the light emitting diode 114 for the visual alert includes at least one of: the blinking of the light emitting diode 114, displaying instructions through the display unit, and the like. Furthermore, the buzzer 116 for the audio alert includes at least one of: producing the buzz sound by the buzzer 116, and the like. Additionally, the human machine interface 112 includes the visual zone. The visual zone is configured to send the visual alert to be visualised by the driver of the electric vehicle 102.
[0070] FIG. 7 is an exemplary process flowchart depicting a computer-implemented method 700 for driver safety management of an electric vehicle 102, in accordance with an embodiment of the present disclosure. At step 702, the status of ignition of the electric vehicle 102 is determined in at least one of: the OFF state and the ON state, using the ignition sensor 210. At step 704, the real time wheel speed of the electric vehicle 102 is computed based on motion of one or more wheels of the electric vehicle 102. At step 706, the real time roll moment and acceleration of the electric vehicle 102 is computed while the driver is turning the electric vehicle 102 in a turn.
[0071] At step 708, the real time steering angle of the electric vehicle 102 is computed based on the turning angle of the steering of the electric vehicle 102 while the user is turning the electric vehicle 102 in the turn. In an embodiment, the at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle 102 are computed in real time when the one or more sensors 106 determines the status of ignition in ON state. At step 710, the plurality of computed real time data is received by the electronic control unit 110. At step 712, the one or more vehicle parameters are extracted from the plurality of computed real time data. At step 714, the extracted one or more vehicle parameters are validated by applying the plurality of computed real time data to the artificial intelligence-based decision model. At step 716, the difference (e.g., the abnormal condition) in the extracted one or more vehicle parameters is determined based on the validation of the extracted one or more vehicle parameters. At step 718, the one or more alerts are generated for the determined difference in the extracted one or more vehicle parameters. At step 720, the generated one or more alerts are outputted to the driver of the electric vehicle 102. In an embodiment, the one or more alerts includes at least one of: the audio alert through the buzzer 116, and the visual alert through the light emitting diode 114, of the electric vehicle 102.
[0072] In an embodiment, the present disclose has various advantages. The present disclosure helps the driver to prevent roll over of the electric vehicle 102 during high-speed turns for the driver who is not skilled in the art of high-speed driving. Further, the present disclosure is a life saver to prevent the accidents and injuries. The present invention is cost effectiveness, and simplicity of design. The present invention includes less number of components, less packaging space requirement for the components.
[0073] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependant on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.
, Claims:WE CLAIM:
1. A computer-implemented system (100) for driver safety management of an electric vehicle (102), the computer-implemented system (100) comprising:
one or more sensors (106) configured to:
determine a status of ignition, in at least one of: an OFF state and an ON state, from an ignition unit (104);
compute a real time wheel speed of the electric vehicle (102) based on motion of one or more wheels of the electric vehicle (102);
compute a real time roll moment and acceleration of the electric vehicle (102) while a user is turning the electric vehicle (102) in a turn; and
compute a real time steering angle of the electric vehicle (102) based on a turning angle of a steering of the electric vehicle (102) while the user is turning the electric vehicle (102) in the turn,
wherein the at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle (102) are computed in real time when the one or more sensors (106) determines the status of ignition in ON state;
an electronic control unit (ECU) (110) connected to the one or more sensors (106), wherein the electronic control unit (ECU) (110) configured to:
receive a plurality of computed real time data of the electric vehicle (102) from the one or more sensors (106), wherein the plurality of computed real time data is associated with at least one of: the real time wheel speed, the real time roll moment and acceleration, and the steering angle, of the electric vehicle (102);
extract one or more vehicle parameters from the plurality of computed real time data;
validate the extracted one or more vehicle parameters by applying the plurality of computed real time data to an artificial intelligence-based decision model;
determine a difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters; and
generate one or more alerts for the determined difference in the extracted one or more vehicle parameters; and
a human machine interface (HMI) (112) connected to the electronic control unit (ECU) (110), wherein the human machine interface (HMI) (112) configured to:
output the one or more alerts to the user of the electric vehicle (102), wherein the one or more alerts comprises at least one of: an audio alert through a buzzer (116), and a visual alert through a light emitting diode (114), of the electric vehicle (102).

2. The computer-implemented system (100) as claimed in claim 1, wherein the one or more sensors (106) comprises at least one of:
an ignition sensor (210) connected to the ignition unit (104), for determining the status of ignition, in at least one of: an OFF state and an ON state, of the electric vehicle (102);
a wheel speed sensor (202) connected to one or more wheels of the electric vehicle (102), for computing the real time wheel speed of the electric vehicle (102) and for transmitting the real time wheel speed of the electric vehicle (102) to the electronic control unit (ECU) (110) through a motor controller (108), based on the motion of the one or more wheels of the electric vehicle (102);
an inertial measurement unit (IMU) sensor (204) configured to compute the real time roll moment and acceleration of the electric vehicle (102) to compute tilt angle while the user is turning the electric vehicle (102) in the turn; and
a steering angle sensor (206) configured to compute the real time steering angle of the electric vehicle (102) based on the turning angle of the steering of the electric vehicle (102) while the user is turning the electric vehicle (102) in the turn.

3. The computer-implemented system (100) as claimed in claim 1, wherein the one or more vehicle parameters comprises at least one of: current state of the ignition, current steering angle, and current wheel speed, of the electric vehicle (102).

4. The computer-implemented system (100) as claimed in claim 1, wherein in validating the extracted one or more vehicle parameters by applying the plurality of computed real time data to the artificial intelligence-based decision model, the electronic control unit (ECU) (110) is configured to:
dynamically correlate each of the one or more vehicle parameters with corresponding pre-stored one or more vehicle parameters;
apply one or more validation-based rules on each of the correlated one or more vehicle parameters; and
validate the one or more vehicle parameters based on the one or more validation-based rules applied on each of the correlated one or more vehicle parameters.

5. The computer-implemented system (100) as claimed in claim 4, wherein in determining the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, the electronic control unit (ECU) (110) is configured to:
identify a deviation in current values of the one or more vehicle parameters, based on the validation of the one or more vehicle parameters using the one or more validation-based rules; and
determine the difference in the extracted one or more vehicle parameters when the deviation in the current values of the one or more vehicle parameters exceeds a threshold value.

6. The computer-implemented system (100) as claimed in claim 1, wherein in determining the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, the electronic control unit (ECU) (110) is configured to:
determine whether the status of the ignition is ON state based on the signal received from the ignition unit (104); and
compute limiting speed based on at least one of: the tilt angle and the steering angle of the electric vehicle (102), wherein the tilt angle is computed based on the real time roll moment from the inertial measurement unit (IMU) sensor (204), and wherein the at least one of: the tilt angle and the limiting speed are computed when the status of the ignition is in ON state.

7. The computer-implemented system (100) as claimed in claim 1, wherein in generating the one or more alerts for the determined difference in the extracted one or more vehicle parameters, the electronic control unit (ECU) (110) is configured to:
determine whether the status of the ignition in OFF state based on a signal received from the ignition unit (104); and
trigger OFF the one or more alerts when the status of the ignition is OFF state.

8. The computer-implemented system (100) as claimed in claim 6, wherein in generating one or more alerts for the determined difference in the extracted one or more vehicle parameters, the electronic control unit (ECU) (110) is configured to:
compare the plurality of computed real time data associated with the real time wheel speed, with the computed limiting speed;
trigger OFF the one or the more alerts when the plurality of computed real time data associated with the real time wheel speed is below a threshold value of the computed limiting speed; and
trigger ON the one or the more alerts through at least one of: the light emitting diode (LED) and the buzzer of the human machine interface (HMI) (112) of the electric vehicle (102) when the plurality of computed real time data associated with the real time wheel speed is above the threshold value of the computed limiting speed.

9. The computer-implemented system (100) as claimed in claim 8, wherein the electronic control unit (ECU) (110) is configured to trigger at least one of: ON and OFF the one or more alerts based on at least one of: the plurality of computed real time data, at least one of: ON and OFF status of a brake switch (208), and a mode (212) of ride of the electric vehicle (102).

10. The computer-implemented system (100) as claimed in claim 1, wherein the electronic control unit (ECU) (110) is connected to the human machine interface (HMI) (112) through at least one of: a wireless connection and a wired connection.

11. The computer-implemented system (100) as claimed in claim 1, wherein the light emitting diode (LED) (114) for the visual alert comprises at least one of: blinking of the light emitting diode (LED) (114), displaying instructions through a display unit.

12. The computer-implemented system (100) as claimed in claim 1, wherein the human machine interface (HMI) (112) comprises a visual zone, and wherein the visual zone is configured to send the visual alert to be visualized by the user of the electric vehicle (102).

13. A computer-implemented method (700) for driver safety management of an electric vehicle (102), the computer-implemented method (700) comprising:
determining (702), by one or more sensors (106), a status of ignition, in at least one of: an OFF state and an ON state, from an ignition unit (104);
computing (704), by the one or more sensors (106), a real time wheel speed of the electric vehicle (102), based on motion of one or more wheels of the electric vehicle (102);
computing (706), by the one or more sensors (106), a real time roll moment and acceleration of the electric vehicle (102) while a user is turning the electric vehicle (102) in a turn;
computing (708), by the one or more sensors (106), a real time steering angle of the electric vehicle (102) based on a turning angle of a steering of the electric vehicle (102) while the user is turning the electric vehicle (102) in the turn, wherein the at least one of: the real time wheel speed, the real time roll moment and acceleration, and the real time steering angle, of the electric vehicle (102) are computed in real time when the one or more sensors (106) determines the status of ignition in ON state;
receiving (710), by an electronic control unit (ECU) (110), a plurality of computed real time data of the electric vehicle (102) from the one or more sensors (106), wherein the plurality of computed real time data is associated with at least one of: the real time wheel speed, the real time roll moment and acceleration, and the steering angle, of the electric vehicle (102);
extracting (712), by an electronic control unit (ECU) (110), one or more vehicle parameters from the plurality of computed real time data;
validating (714), by the electronic control unit (ECU) (110), the extracted one or more vehicle parameters by applying the plurality of computed real time data to an artificial intelligence-based decision model;
determining (716), by the electronic control unit (ECU) (110), a difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters; and
generating (718), by the electronic control unit (ECU) (110), one or more alerts for the determined difference in the extracted one or more vehicle parameters; and
outputting (720), a human machine interface (HMI) (112), the one or more alerts to the user of the electric vehicle (102), wherein the one or more alerts comprises at least one of: an audio alert through a buzzer (116), and a visual alert through a light emitting diode (114), of the electric vehicle (102).

14. The computer-implemented method (700) as claimed in claim 13, wherein the one or more sensors (106) comprises at least one of:
an ignition sensor (210) connected to the ignition unit (104), for determining the status of ignition, in at least one of: an OFF state and an ON state, of the electric vehicle (102);
a wheel speed sensor (202) connected to one or more wheels of the electric vehicle (102), for computing the real time wheel speed of the electric vehicle (102) and for transmitting the real time wheel speed of the electric vehicle (102) to the electronic control unit (ECU) (110) through a motor controller (108), based on the motion of the one or more wheels of the electric vehicle (102);
an inertial measurement unit (IMU) sensor (204) configured to compute the real time roll moment and acceleration of the electric vehicle (102) to compute tilt angle while the user is turning the electric vehicle (102) in the turn; and
a steering angle sensor (206) configured to compute the real time steering angle of the electric vehicle (102) based on the turning angle of the steering of the electric vehicle (102) while the user is turning the electric vehicle (102) in the turn.

15. The computer-implemented method (700) as claimed in claim 13, wherein the one or more vehicle parameters comprises at least one of: current state of the ignition, current steering angle, and current wheel speed, of the electric vehicle (102).

16. The computer-implemented method (700) as claimed in claim 13, wherein validating (714) the extracted one or more vehicle parameters comprises:
dynamically correlating, by the electronic control unit (ECU) (110), each of the one or more vehicle parameters with corresponding pre-stored one or more vehicle parameters;
applying, by the electronic control unit (ECU) (110), one or more validation-based rules on each of the correlated one or more vehicle parameters; and
validating, by the electronic control unit (ECU) (110), the one or more vehicle parameters based on the one or more validation-based rules applied on each of the correlated one or more vehicle parameters.

17. The computer-implemented method (700) as claimed in claim 13, wherein determining (716) the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, comprises:
identifying, by the electronic control unit (ECU) (110), a deviation in current values of the one or more vehicle parameters, based on the validation of the one or more vehicle parameters using the one or more validation-based rules; and
determining, by the electronic control unit (ECU) (110), the difference in the extracted one or more vehicle parameters when the deviation in the current values of the one or more vehicle parameters exceeds a threshold value.

18. The computer-implemented method (700) as claimed in claim 13, wherein determining (716) the difference in the extracted one or more vehicle parameters based on the validation of the extracted one or more vehicle parameters, comprises:
determining, by the electronic control unit (ECU) (110), whether the status of the ignition is ON state based on the signal received from the ignition unit (104); and
computing, by the electronic control unit (ECU) (110), limiting speed based on at least one of: the tilt angle and the steering angle of the electric vehicle (102), wherein the tilt angle is computed based on the real time roll moment from the inertial measurement unit (IMU) sensor (204), and wherein the at least one of: the tilt angle and the limiting speed are computed when the status of the ignition is in ON state.

19. The computer-implemented method (700) as claimed in claim 13, wherein generating (718) the one or more alerts for the determined difference in the extracted one or more vehicle parameters, comprises:
determining, by the electronic control unit (ECU) (110), whether the status of the ignition in OFF state based on a signal received from the ignition unit (104); and
triggering, by the electronic control unit (ECU) (110), OFF the one or more alerts when the status of the ignition is OFF state.

20. The computer-implemented method (700) as claimed in claim 18, wherein generating (718) one or more alerts for the determined difference in the extracted one or more vehicle parameters, comprises:
comparing, by the electronic control unit (ECU) (110), the plurality of computed real time data associated with the real time wheel speed, with the computed limiting speed;
triggering, by the electronic control unit (ECU) (110), OFF the one or the more alerts when the plurality of computed real time data associated with the real time wheel speed is below a threshold value of the computed limiting speed; and
triggering, by the electronic control unit (ECU) (110), ON the one or the more alerts through at least one of: the light emitting diode (LED) (114) and the buzzer (116) of the human machine interface (HMI) (112) of the electric vehicle (102) when the plurality of computed real time data associated with the real time wheel speed is above the threshold value of the computed limiting speed.

21. The computer-implemented method (700) as claimed in claim 8, wherein triggering at least one of: ON and OFF the one or more alerts based on at least one of: the plurality of computed real time data, at least one of: ON and OFF status of a brake switch (208), and a mode (212) of ride of the electric vehicle (102).

22. The computer-implemented method (700) as claimed in claim 13, wherein the electronic control unit (ECU) (110) is connected to the human machine interface (HMI) (112) through at least one of: a wireless connection and a wired connection.

23. The computer-implemented method (700) as claimed in claim 13, wherein the light emitting diode (LED) (114) for the visual alert comprises at least one of: blinking of the light emitting diode (LED) 114, displaying instructions through a display unit.

24. The computer-implemented method (700) as claimed in claim 13, wherein the human machine interface (HMI) (112) comprises a visual zone, and wherein the visual zone is configured to send the visual alert to be visualized by the user of the electric vehicle (102).

Dated this 09th day of August 2023


Vidya Bhaskar Singh Nandiyal
Patent Agent (IN/PA-2912)
Agent for applicant