DESC:CROSS-REFERENCE TO RELATED APPLICATIONS
[001] The application claims priority from an Indian Provisional Application Number: 202441045246 filed on 12-06-2024, the complete disclosures of which, are herein incorporated by reference.
BACKGROUND
Technical Field
[002] The embodiments herein generally relate to an electric vehicle and more particularly a system and a method to estimate a driving range of the electric vehicle.
Description of the Related Art
[003] Nowadays usage of electric vehicles has increased a lot due to their lightweight, and lower maintenance cost. In addition to that, fuel demand and fuel price hikes play a vital role in the growth of the electric vehicles. However, the electric vehicle has a few disadvantages too. One of them is range anxiety. As used herein, the range anxiety is a fear that the electric vehicles may not have sufficient battery charge to reach their destination. So, a rider of the electric vehicle should be aware of a driving range.
[004] In a conventional approach, the electric vehicles include an arrangement/setup that estimates the driving range. However, the conventional approach considers only a few parameters like the State Of Charge (SOC) and the distance that needs to be covered to reach the destination. Since the conventional approach does not consider the weight of the rider of the electric vehicle and different road conditions or consider the weight of the rider of the electric vehicle and different road conditions as a constant it might end up with an inaccurate driving range estimation.
[005] Furthermore, other conventional approaches are available in the market to estimate but those approaches do not consider the traction power of the electric vehicle, the transmission gear ratio and efficiency of the electric vehicles, real-time traffic updates, behavior of a driver of the electric vehicles, and drive system losses of the electric vehicles. The conventional approaches do not consider the necessary parameters to provide an accurate drive range estimation to the rider of the electric vehicles. So, the conventional approaches are not efficient in estimating the driving range of the electric vehicles to avoid the range anxiety of the rider.
[006] Accordingly, there remains a need for an improvised system to estimate the driving range of the electric vehicles and a method to operate the same and therefore address the aforementioned issues.
SUMMARY
[007] In view of the foregoing, an aspect herein provides a system for estimating a driving range of an electric vehicle. The system includes a sensor unit, a control unit, and a remote module. The sensor unit includes a first set of sensors, a second set of sensors, and a third set of sensors. The first set of sensors disposed on the electric vehicle is configured to collect one or more vehicle parameters of the electric vehicle in real-time. The second set of sensors disposed on the electric vehicle is configured to collect one or more one or more environmental parameters in real-time. The third set of sensors disposed on the electric vehicle is configured to collect one or more drive parameters of the electric vehicle in real-time. The control unit disposed on the electric vehicle configured to receive at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from the sensor unit. The control unit further transfer the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly to the remote module. The remote module includes a memory, and a processor. The processor includes one or more modules. The memory is configured to store program instructions. The processor is configured to execute program instructions stored in the memory. The one or modules include a transceiver module, a storage module, and an estimation module. The transceiver module is configured to receive the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly from the control unit. Further the transceiver module is configured to transfer the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters to the storage module. The storage module is configured to store the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters. The storage module further includes one or more historical drive parameters of the electric vehicle. The estimation module is configured to estimate a driving range of the electric vehicle using (i) the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and (ii) the one or more historical drive parameters. The estimation module id further configured to generate one or more notifications, and share the one or more notifications to the transceiver module. The one or more notifications include an estimated driving range of the electric vehicle.
[008] In some embodiments, the one or more vehicle parameters comprise at least one of a change in a position of a center of gravity of the electric vehicle, a State of Charge (SOC), a State of Health (SOH) or energy consumption information of a power source of the electric vehicle.
[009] In some embodiments, wherein the one or more environmental parameters include at least one of one or more traffic or GPS information.
[0010] In some embodiments, the one or more traffic information comprises light traffic, medium traffic, and heavy traffic.
[0011] In some embodiments, the one or more GPS information comprises at least one of one or more road conditions or speed limitations.
[0012] In some embodiments, the one or more road conditions comprise at least one of an uphill road, a downhill road, a flat surface road, a road with potholes, or a ride on off-road.
[0013] In some embodiments, the one or more drive parameters of the electric vehicle include at least one of electrical losses, electronic losses, mechanical losses, or one or more driver behaviors.
[0014] In some embodiments, the one or more driver behaviors comprise at least one of average speed, throttle percentage, or rate of change of throttle percentage.
[0015] In some embodiments, the one or more historical drive parameters are stored in the storage module in a predetermined time interval.
[0016] In some embodiments, the system includes a display unit disposed on the electric vehicle configured to receive the one or more notifications from the transceiver module and display the one or more notifications.
[0017] In another aspect, a method for estimating a driving range of an electric vehicle is provided. The method includes (i) collecting, by a first set of sensors, one or more vehicle parameters of the electric vehicle in real-time, (ii) collecting, by a second set of sensors, one or more environmental parameters in real-time, (iii) collecting, by a third set of sensors, one or more drive parameters of the electric vehicle in real-time, (iv) receiving, by a control unit, at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from a sensor unit that includes the first set of sensors, the second set of sensors, and the third set of sensors, (v) transferring, by the control unit, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly to a remote module, (vi) receiving, by a processor, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly from the control unit, (vii) transferring, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters to a storage module, (viii) storing, by the processor, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, wherein the storage module comprises one or more historical drive parameters of the electric vehicle, (ix) estimating, by the processor, a driving range of the electric vehicle using the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and the one or more historical drive parameters, (x) generating, by the processor, one or more notifications that includes an estimated driving range of the electric vehicle, and (xi) sharing, by the processor, the one or more notifications to a transceiver module.
[0018] In some embodiments, the one or more vehicle parameters comprise at least one of a change in a position of a center of gravity of the electric vehicle (102), a State OF Charge (SOC), a State of Health (SOH) or energy consumption information of a power source of the electric vehicle.
[0019] In some embodiments, the one or more environmental parameters comprise at least one of one or more traffic or GPS information.
[0020] In some embodiments, the one or more traffic information comprises light traffic, medium traffic, and heavy traffic.
[0021] In some embodiments, the one or more GPS information comprises at least one of one or more road conditions or speed limitations.
[0022] In some embodiments, the one or more road conditions comprise at least one of an uphill road, a downhill road, a flat surface road, a road with potholes, or a ride on off-road.
[0023] In some embodiments, the one or more drive parameters of the electric vehicle include at least one of electrical losses, electronic losses, mechanical losses, or one or more driver behaviors.
[0024] In some embodiments, the one or more driver behaviors comprise at least one of average speed, throttle percentage, or rate of change of throttle percentage.
[0025] In some embodiments, the one or more historical drive parameters are stored in the storage module in a predetermined time interval.
[0026] In some embodiments, receiving, by the display unit, the one or more notifications from the transceiver module, and displaying, by the display unit, the one or more notifications.
[0027] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications. Improvements and modifications may be incorporated herein without deviating from the scope of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[0028] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
[0029] FIG. 1 is a block diagram of a system to estimate a driving range of an electric vehicle according to an embodiment herein; and
[0030] Figs. 2A and 2B are flowcharts representing the steps involved in a method for estimating the driving range of the electric vehicle, according to an embodiment herein.
[0031] It may be noted that to the extent possible, like reference numerals have been used to represent like elements in the drawing. Further, those of ordinary skill in the art will appreciate that elements in the drawing are illustrated for simplicity and may not have been necessarily drawn to scale. For example, the dimension of some of the elements in the drawing may be exaggerated relative to other elements to help to improve the understanding of aspects of the invention. Furthermore, the elements may have been represented in the drawing by conventional symbols, and the drawings may show only those specific details that are pertinent to the understanding the embodiments of the invention so as not to obscure the drawing with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[0032] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0033] As mentioned there remains a need for an improved approach to estimate a driving range of the electric vehicle. Referring now to the drawings, and more particularly to FIGS. 1 to 2, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[0034] FIG. 1 is a block diagram of a system 100 to estimate a driving range of an electric vehicle 102 according to an embodiment herein. The electric vehicle 102 may include, but not limited to, a battery electric vehicle (BEV), a hybrid electric vehicle (HEV), a fuel cell electric vehicle (FCEV), or a plug-in Hybrid Electric Vehicle (PHEV). The electric vehicle 102 includes a sensor unit 104, a control unit 106, and a remote module 109.
[0035] The sensor unit 104 includes one or more sensors. The one or more sensors include a first set of sensors, a second set of sensors, and a third set of sensors. The first set of sensors is disposed on the electric vehicle 102 to collect one or more vehicle parameters of the electric vehicle 102 in real-time. In one embodiment, one or more vehicle parameters of the electric vehicle 102 include at least one of a change in a position of a center of gravity of the electric vehicle 102, a State OF Charge (SOC), a State of Health (SOH) or energy consumption information of a power source of the electric vehicle 102. In another embodiment, the energy consumption information will be measured in a predetermined interval or predetermined distance. In another embodiment, the first set of sensors may include, but not limited to, a strain gauge, and an Inertial Measurement Unit (IMU). In yet another embodiment, the first set of sensors collects the one or more vehicle parameters of the electric vehicle 102 in a predetermined time interval.
[0036] As used herein, the strain gauge/strain gauge sensor is defined as a sensor whose resistance varies with applied load. The strain gauge converts load (E.g., force, pressure, tension, weight, etc.,) into a change in electrical resistance which can then be measured. The strain gauge is used to determine the change in the position of the center of gravity. The change in the position of the center of gravity may vary based on the load that is acted/applied on the electric vehicle 102. The load includes, but not limited to, one or more riders of the electric vehicle 102, or one or more belongings of the one or more riders of the electric vehicle 102. The strain gauge 104 is configured to generate electrical signals that correspond to the load that is acted/applied on the electric vehicle 102. The strain gauge 104 is positioned at a predetermined location of the electric vehicle 102. In one embodiment, the predetermined location of the strain gauge 104 may be a place where the load of the electric vehicle 102 can be measured accurately.
[0037] The first set of sensors is further configured to monitor a State OF Charge (SOC) a state of health (SOH), energy consumption information of the power source of the electric vehicle 102, and the one or more driver behaviors. In one embodiment, the power source of the electric vehicle 102 may be one or more battery packs. In one embodiment, the one or more battery packs may include a first battery pack and a second battery pack.
[0038] In one embodiment, the first battery pack may be primary, and the second battery pack 104 may be secondary. In another embodiment, the second battery pack may be primary, and the first battery pack may be secondary. In yet another embodiment, the capacity of the first battery pack is higher than the second battery pack. In yet another, the capacity of the first battery pack is equal to the second battery pack. In yet another embodiment, the capacity of the first battery pack is less than the second battery pack.
[0039] The second set of sensors disposed on the electric vehicle 102 is configured to collect one or more one or more environmental parameters in real-time. In one embodiment, the one or more one or more environmental parameters include one or more traffic and GPS information. In another embodiment, the second set of sensors may include, but not limited to, GPS sensor.
[0040] In another embodiment, the one or more traffic may include, but not limited to, light traffic, medium traffic, and heavy traffic. In another embodiment, the one or more GPS information comprises at least one of one or more road conditions or speed limitations. In yet another embodiment, the one or more road conditions may include, but not limited to, an uphill road, a downhill road, a flat surface road, a road with potholes, a ride on off-road. In yet another embodiment, the second set of sensors collects the one or more environmental parameters in a predetermined time interval.
[0041] The third set of sensors is configured to collect one or more drive parameters of the electric vehicle 102 in real-time. In one embodiment, the third set of sensors may include one or more sensors that are able measure at least one of electrical losses, mechanical losses, or one or more driver behaviors. In yet another embodiment, the third set of sensors collects the one or more drive parameters of the electric vehicle 102 in a predetermined time interval.
[0042] In one embodiment, the one or more drive parameters of the electric vehicle 102 include at least one of electrical losses, mechanical losses, or one or more driver behaviors. In one embodiment, the electrical losses may include but not limited to, battery pack power losses (E.g., heat, and resistance), and wire harness internal losses. In one embodiment, the mechanical losses may include, but not limited to, gear shift losses, braking losses, motor losses, wheel losses, transmission gear ratio, and efficiency, traction power of the vehicle, losses in the drive system, sub-system losses, tire pressure information from a tire pressure monitoring system, tire temperature from a tire temperature monitoring system. In one embodiment, the third set of sensors further senses other losses that can affect the range of the electric vehicle 102. In one embodiment, the one or more drive behaviors may include, but not limited to, at least one of average speed, throttle percentage, rate of change of throttle percentage, a driving style, or a lane change pattern.
[0043] In another embodiment, the one or more driver behaviors may be determined by artificial intelligence (AI), and machine learning algorithms. As used herein, the artificial intelligence is defined as a simulation of human intelligence processes by machines, especially computer systems. As used herein, the machine learning is defined as the use and development of computer systems that can learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.
[0044] The control unit 106 disposed on the electric vehicle 102 configured to receive at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from the sensor unit 104. Further, the control unit 106 disposed on the electric vehicle 102 configured to transfer the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly to the remote module 109. In one embodiment, the control unit 106 converts the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from the sensor unit 104 into a predetermined format before transferring them into the remote module 109. In one embodiment, the predetermined format may be a format that can be transmitted by wireless transmission to the remote module 110. In one embodiment, the control unit 104 may be telematic. In another embodiment, the control unit 104 may be a Human-Machine Interface (HMI). In yet another embodiment, the control unit 104 may be a Body Control Module (BCM), or vehicle control unit (VCU) and the like. The remote module 109 is communicatively coupled to the electric vehicle 102 using wireless communication. In one embodiment, the remote module 109 may be cloud. As used herein, the wireless communication is defined as a technology that helps to transmit data (E.g., voice data, text data, pictures, and video) over between two or more points without the use of an electrical conductor. In one embodiment, the wireless transmission may include but not limited to, local area network (LAN), personal-area network (PAN), metropolitan-area network (MAN), and wide-area network (WAN), Infrared, Microwaves, Radio waves, Bluetooth, cellular, Wi-Fi, Satellite.
[0045] The remote module 109 includes a memory 122, and a processor 110. In one embodiment, the processor(s) 110, as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.
[0046] The system 100 includes a bus 118, and a database 120. The memory 122 stores program instructions. The memory 122 stores the program instructions in the form of an executable program. The program instructions instruct the processor 110 via one or more modules to perform the steps. The processor 110 includes a transceiver module 112, a storage module 114, and an estimation module 116. The processor 110 is configured to execute program instructions stored in the memory 122. The bus 118 as used herein refers to be internal memory channels or computer network that is used to connect computer components and transfer data between them.
[0047] The transceiver module 112 is configured to receive the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly from the control unit 106. The transceiver module 112 is configured to transfer the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters to the storage module 114.
[0048] The storage module 114 is configured to store the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, wherein the storage module 114 includes one or more historical drive parameters of the electric vehicle 102. In one embodiment, the one or more historical drive parameters of the electric vehicle 102 are stored in the storage module 114 in a predetermined time interval.
[0049] The estimation module 116 is configured is configured to estimate a driving range of the electric vehicle 102 using (i) the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and (ii) the one or more historical drive parameters. The estimation module 116 is further configured is configured to generate one or more notifications and share the one or more notifications to the transceiver module 112. The one or more notifications include an estimated driving range of the electric vehicle 102. In one embodiment, the one or more notifications may include, but not limited to, a message, an electronic mail, or a push notification.
[0050] Furthermore, the system 100 includes a display unit 108 to receive the one or more notifications from the transceiver module 112 and display the one or more notifications. The display unit 108 is disposed on the electric vehicle 102. In one embodiment, the display unit 108 may be a computing device 124 of a rider 126. In another embodiment, the computing device 124 may may include, but not limited to, a mobile phone, a smartphone, a desktop computer, and a laptop. The computing device 124 allows the rider 126 to view the real-time driving range of the electric vehicle 102. In one embodiment, the computing device 124 may include at least one processor, and a memory. The rider 126 may feed one or more information about an upcoming trip.
[0051] In one embodiment, the environment parameters include latitude and longitude information for assisting the rider the 126 in planning a route.
[0052] Figs. 2A and 2B are flowcharts representing the steps involved in a method 200 for estimating the driving range of the electric vehicle 102, according to an embodiment herein.
[0053] In step 202, the method 200 includes collecting one or more vehicle parameters of the electric vehicle 102 in real-time. In one specific embodiment of the present disclosure, the one or more vehicle parameters of the electric vehicle 102 are collected by a first set of sensors in real-time. In one embodiment, the one or more vehicle parameters of the electric vehicle 102 include at least one of a change in a position of a center of gravity of the electric vehicle 102, a State OF Charge (SOC) a State of Health (SOH) or energy consumption information of a power source of the electric vehicle 102.
[0054] In step 204, the method 200 includes collecting one or more environmental parameters in real-time. In one specific embodiment of the present disclosure, the one or more environmental parameters are collected by a second set of sensors in real-time. In one embodiment, the one or more environmental parameters include at least one of one or more traffic or GPS information. In another embodiment, the one or more traffic information comprises light traffic, medium traffic, and heavy traffic. In yet another embodiment, the one or more GPS information comprises at least one of one or more road conditions or speed limitations. In yet another embodiment, the one or more road conditions include at least one of an uphill road, a downhill road, a flat surface road, a road with potholes, or a ride on off-road
[0055] In step 206, the method 200 includes collecting one or more drive parameters of the electric vehicle 102 in real-time. In one specific embodiment of the present disclosure, the one or more drive parameters of the electric vehicle 102 are collected by a third set of sensors in real-time. In one embodiment, the one or more drive parameters of the electric vehicle 102 include at least one of electrical losses, electronic losses, mechanical losses, or one or more driver behaviors. In another embodiment, the one or more driver behaviors include at least one of average speed, throttle percentage, or rate of change of throttle percentage.
[0056] In step 208, the method 200 includes receiving at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from a sensor unit 104. In one specific embodiment of the present disclosure, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from the sensor unit 104 are received by a control unit 106. The sensor unit 104 includes the first set of sensors, the second set of sensors, and the third set of sensors.
[0057] In step 210, the method 200 includes transferring the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly to a remote module 109. In one specific embodiment of the present disclosure, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters are wirelessly transferred to the remote module 109 by the control unit 106.
[0058] In step 212, the method 200 includes receiving the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly from the control unit 106. In one specific embodiment of the present disclosure, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly received from the control unit 106 by a transceiver module 112.
[0059] In step 214, the method 200 includes transferring the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters to a storage module 114. In one specific embodiment of the present disclosure, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters are transferred to the storage module 114 by the transceiver module 112.
[0060] In step 216, the method 200 includes storing the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters. In one specific embodiment of the present disclosure, the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters are stored by the storage module 114.
[0061] In step 218, the method 200 includes estimating a driving range of the electric vehicle (102) using (i) the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and (ii) the one or more historical drive parameters. In one specific embodiment of the present disclosure, the driving range of the electric vehicle 102 is estimated the using (i) the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and (ii) the one or more historical drive parameters by an estimation module 116.
[0062] In step 220, the method 200 includes generating one or more notifications. In one specific embodiment of the present disclosure, the one or more notifications are generated by the estimation module 116. The one or more notifications includes an estimated driving range of the electric vehicle 102 by the estimation module 116.
[0063] In step 222, the method 200 includes sharing the one or more notifications to the transceiver module 112. In one specific embodiment of the present disclosure, the one or more notifications are shared to the transceiver module 112 by the estimation module 116.
[0064] Furthermore, the method 200 includes receiving the one or more notifications from the transceiver module 112. In one specific embodiment of the present disclosure, the one or more notifications are received from the transceiver module 112 by a display unit 108.
[0065] The method 200 includes displaying the one or more notifications. In one specific embodiment of the present disclosure, the one or more notifications are displayed by the display unit 108. The display unit 108 is positioned on the electric vehicle 102.
[0066] The system 100 estimates the driving range of the electric vehicle 102 by considering not only state of charge (SOC) but also other necessity parameters such as the one or more vehicle parameters, the one or more traffic and GPS information, and the one or more drive parameters for estimating the driving range of the electric vehicle 102. The multi-faceted approach enhances the accuracy of the driving range estimations provided by the system 100.
[0067] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope. Improvements and modifications may be incorporated herein without deviating from the scope of the invention.

LIST OF REFERENCE NUMERALS
System-100.
Electric Vehicle-102.
Sensor Unit-104.
Control Unit-106.
Display Unit-108.
Remote module-109.
Processor-110.
Transceiver Module-112.
Storage Module-114.
Estimation Module-116.
Bus-118.
Database-120.
Memory-122.
Computing Device-124.
Rider-126. ,CLAIMS:CLAIMS
I/We claim:
1. A system (100) to estimate a driving range of an electric vehicle (102), the system (100) comprising:
a sensor unit (104) comprises:
a first set of sensors disposed on the electric vehicle (102) configured to collect one or more vehicle parameters of the electric vehicle (102) in real-time;
a second set of sensors disposed on the electric vehicle (102) configured to collect one or more environmental parameters in real-time;
a third set of sensors disposed on the electric vehicle (102) configured to collect one or more drive parameters of the electric vehicle (102) in real-time;
a control unit (106) disposed on the electric vehicle (102) configured to:
receive at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from the sensor unit (104); and
transfer the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly to a remote module (109);
the remote module (109) comprises:
a memory (122) storing program instructions and a processor (110) configured to execute program instructions stored in the memory (122), wherein the processor (110) comprises one or more modules, wherein the one or modules comprise:
a transceiver module (112) is configured to:
receive the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly from the control unit (106); and
transfer the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters to a storage module (114);
the storage module (114) is configured to store the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, wherein the storage module (114) comprises one or more historical drive parameters of the electric vehicle (102); and
an estimation module (116) is configured to:
estimate a driving range of the electric vehicle (102) using (i) the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and (ii) the one or more historical drive parameters; and
generate one or more notifications, and share the one or more notifications to the transceiver module (112), wherein the one or more notifications comprise an estimated driving range of the electric vehicle (102).
2. The system (100) as claimed in claim 1, wherein the one or more vehicle parameters comprise at least one of a change in a position of a center of gravity of the electric vehicle (102), a State OF Charge (SOC), a state of health (SOH) or energy consumption information of a power source of the electric vehicle (102).
3. The system (100) as claimed in claim 1, wherein the one or more environmental parameters comprise at least one of one or more traffic or GPS information.
4. The system (100) as claimed in claim 3, wherein the one or more traffic information comprises light traffic, medium traffic, and heavy traffic.
5. The system (100) as claimed in claim 3, wherein the one or more GPS information comprises at least one of one or more road conditions or speed limitations.
6. The system (100) as claimed in claim 5, wherein the one or more road conditions comprise at least one of an uphill road, a downhill road, a flat surface road, a road with potholes, or a ride on off-road.
7. The system (100) as claimed in claim 1, wherein the one or more drive parameters of the electric vehicle (102) comprise at least one of electrical losses, electronic losses, mechanical losses, or one or more driver behaviors.
8. The system (100) as claimed in claim 7, wherein the one or more driver behaviors comprise at least one of average speed, throttle percentage, or rate of change of throttle percentage.
9. The system (100) as claimed in claim 1, wherein the one or more historical drive parameters are stored in the storage module (114) in a predetermined time interval.
10. The system (100) as claimed in claim 1, wherein the system (100) comprises a display unit (108) disposed on the electric vehicle (102) configured to receive the one or more notifications from the transceiver module (112) and display the one or more notifications.
11. A method (200) for estimating a driving range of an electric vehicle (102), the method (200) comprising:
collecting, by a first set of sensors, one or more vehicle parameters of the electric vehicle (102) in real-time;
collecting, by a second set of sensors, one or more environmental parameters in real-time;
collecting, by a third set of sensors, one or more drive parameters of the electric vehicle (102) in real-time;
receiving, by a control unit (106), at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters from a sensor unit (104), wherein the sensor unit (104) comprises the first set of sensors, the second set of sensors, and the third set of sensors;
transferring, by the control unit (106), the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly to a remote module (109);
receiving, by a processor (110), the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters wirelessly from the control unit (106);
transferring, by the processor (110), the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters to a storage module (114);
storing, by the processor (110), the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, wherein the storage module (114) comprises one or more historical drive parameters of the electric vehicle (102);
estimating, by the processor (110), a driving range of the electric vehicle (102) using (i) the at least one of the one or more vehicle parameters, the one or more traffic and GPS information, or the one or more drive parameters, and (ii) the one or more historical drive parameters;
generating, by the processor (110), one or more notifications, wherein the one or more notifications comprise an estimated driving range of the electric vehicle (102); and
sharing, by the processor (110), the one or more notifications to a transceiver module (112).
12. The method (200) as claimed in claim 11, wherein the one or more vehicle parameters comprise at least one of a change in a position of a center of gravity of the electric vehicle (102), a State OF Charge (SOC) a State of Health (SOH) or energy consumption information of a power source of the electric vehicle (102).
13. The method (200) as claimed in claim 11, wherein the one or more environmental parameters comprise at least one of one or more traffic or GPS information.
14. The method (200) as claimed in claim 13, wherein the one or more traffic information comprises light traffic, medium traffic, and heavy traffic.
15. The method (200) as claimed in claim 13, wherein the one or more GPS information comprises at least one of one or more road conditions or speed limitations.
16. The method (200) as claimed in claim 15, wherein the one or more road conditions comprise at least one of an uphill road, a downhill road, a flat surface road, a road with potholes, or a ride on off-road.
17. The method (200) as claimed in claim 11, wherein the one or more drive parameters of the electric vehicle (102) comprise at least one of electrical losses, electronic losses, mechanical losses, or one or more driver behaviors.
18. The method (200) as claimed in claim 17, wherein the one or more driver behaviors comprise at least one of average speed, throttle percentage, or rate of change of throttle percentage.
19. The method (200) as claimed in claim 11, wherein the one or more historical drive parameters are stored in the storage module (114) in a predetermined time interval.
20. The method (200) as claimed in claim 11, wherein the method (200) comprising:
receiving, by a display unit (108), the one or more notifications from the transceiver module (112); and
displaying, by the display unit (108), the one or more notifications.