The present disclosure relates to electric vehicles and particularly relates to a device, a system, and a method for estimating a running distance of an electric vehicle based at least on the weight of passengers or the weight of the cargo.
BACKGROUND
As is generally known, an electric vehicle includes a battery to provide operational power to various other components. Over a longer duration of usage, the battery tends to get discharged and therefore needs to be recharged for subsequent operation of the electric vehicle. A state of charge of the battery is shown to a driver, for example, through an instrument panel, based on which the driver manually estimates the running distance of the vehicle before the battery is discharged. This running distance is also referred to as the vehicle's Distance to Empty (DTE), i.e., the distance for which the vehicle can run before the battery is discharged.
In some cases, the vehicle shows an estimated running distance to the user, say, based on a short-term average and a long-term average of the charge consumption of the battery. For example, a stochastic simulation is used to predict the estimated discharge of the battery based on the average energy use (Wh/km) measured over, say, the past 300 kms. Similarly, the battery discharge can be estimated based on navigation and traffic details for the route to be taken by the vehicle.

However, none of the existing techniques considers the weight of the passengers of the vehicle for estimation of the DTE of the vehicle, which can significantly affect the DTE.
SUMMARY
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
In an embodiment of the present disclosure, a device for estimating running distance of an electric vehicle is disclosed. The device comprises a bottom panel disposed on a base member of a seat of the electric vehicle. Further, the device comprises a top panel coupled to the bottom panel and disposed below a top member of the seat. The top panel is adapted to move along with the top member and relative to the bottom panel based on a load applied on the top member of the seat. The device comprises a sensing element disposed between the top panel and the bottom panel. The sensing element is adapted to detect the load on the seat of the electric vehicle based on the movement of the top panel with respect to the bottom panel. Further, the device comprises a system in communication with a battery of the electric vehicle and the sensing element. The system is configured to estimate a running distance of the electric vehicle based on at least a value associated with a state of charge of the battery and a value indicative of the load applied on the at least one seat. The running distance is indicative of a distance travelled by the electric vehicle before complete discharging of the battery.
In another embodiment of the present disclosure, a system for estimating running distance of an electric vehicle is disclosed. The system comprises a processor in communication with a battery of the electric vehicle and a sensing element adapted to detect a load on at least one seat of the electric vehicle. The

processor is configured to determine information indicative of a set of parameters associated with one of the electric vehicle and a set of environmental parameters. The processor is configured to monitor a charging state of the battery of the electric vehicle. The charging state is indicative of a value associated with a state of charge of the battery. Further, the processor is configured to receive a value indicative of the load applied on the at least one seat from the sensing element and the value associated with the state of charge of the battery. The processor is configured to estimate a running distance of the electric vehicle based on the value associated with the state of charge, the set of parameters, the set of environmental parameters, and the value indicative of the load applied on the at least one seat. The running distance is indicative of a distance travelled by the electric vehicle before complete discharging of the battery.
In yet another embodiment of the present disclosure, a method for estimating running distance of an electric vehicle is disclosed. The method comprises determining information indicative of a set of parameters associated with one of the electric vehicle and a set of environmental parameters. The method comprises monitoring a charging state of the battery of the electric vehicle. The charging state is indicative of a value associated with a state of charge of the battery. The method comprises receiving a value indicative of a load applied on at least one seat of the electric vehicle from a sensing element and the value associated with the state of charge of the battery. Further, the method comprises estimating a running distance of the electric vehicle based on the value associated with the state of charge, the set of parameters, the set of environmental parameters, and the value indicative of the load applied on the at least one seat.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be

described and explained with additional specificity and detail with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
These and other features, aspects, and advantages of the present invention will become better understood when the following detailed description is read with reference to the accompanying drawings in which like characters represent like parts throughout the drawings, wherein:
Figure la illustrates a sectional view of a seat of an electric vehicle depicting arrangement of a device for estimating a running distance of the electric vehicle, according to an embodiment of the present disclosure;
Figure lb illustrates an exploded view of the device and the seat of the electric vehicle, according to an embodiment of the present disclosure;
Figure 2 illustrates an environment depicting a block diagram of a device for estimating a running distance of an electric vehicle based on at least one of the weight of passengers and the weight of on-board cargo, according to an embodiment of the present disclosure;
Figure 3 illustrates a flow diagram depicting operation of the device, according to an embodiment of the present disclosure;
Figure 4 illustrates a flow diagram depicting input for estimating the running distance of the electric vehicle; and
Figure 5 illustrates a flow chart depicting a method of estimating the running distance of the electric vehicle based on at least one of the weight of the passengers

and the weight of the on-board cargo, according to an embodiment of the present disclosure.
Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present invention. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
DETAILED DESCRIPTION OF FIGURES
For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.
It will be understood by those skilled in the art that the foregoing general description and the following detailed description are explanatory of the invention and are not intended to be restrictive thereof.

Reference throughout this specification to "an aspect", "another aspect" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
The terms "comprises", "comprising", or any other variations thereof, are intended to cover a nonexclusive 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 process or method. Similarly, one or more devices or subsystems or elements or structures or components proceeded by "comprises... a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.
It should be understood at the outset that although illustrative implementations of the embodiments of the present disclosure are illustrated below, the present invention may be implemented using any number of techniques, whether currently known or in existence. The present disclosure should in no way be limited to the illustrative implementations, drawings, and techniques illustrated below, including the exemplary design and implementation illustrated and described herein, but may be modified within the scope of the appended claims along with their full scope of equivalents.

The term "some" as used herein is defined as "none, or one, or more than one, or all." Accordingly, the terms "none," "one," "more than one," "more than one, but not all" or "all" would all fall under the definition of "some." The term "some embodiments" may refer to no embodiments or to one embodiment or to several embodiments or to all embodiments. Accordingly, the term "some embodiments" is defined as meaning "no embodiment, or one embodiment, or more than one embodiment, or all embodiments."
The terminology and structure employed herein is for describing, teaching, and illuminating some embodiments and their specific features and elements and does not limit, restrict, or reduce the spirit and scope of the claims or their equivalents.
Reference is made herein to some "embodiments." It should be understood that an embodiment is an example of a possible implementation of any features and/or elements presented in the attached claims. Some embodiments have been described for the purpose of illuminating one or more of the potential ways in which the specific features and/or elements of the attached claims fulfil the requirements of uniqueness, utility, and non-obviousness.
Use of the phrases and/or terms such as but not limited to "a first embodiment," "a further embodiment," "an alternate embodiment," "one embodiment," "an embodiment," "multiple embodiments," "some embodiments," "other embodiments," "further embodiment", "furthermore embodiment", "additional embodiment" or variants thereof do NOT necessarily refer to the same embodiments. Unless otherwise specified, one or more particular features and/or elements described in connection with one or more embodiments may be found in one embodiment, or may be found in more than one embodiment, or may be found in all embodiments, or may be found in no embodiments. Although one or more features and/or elements may be described herein in the context of only a single embodiment, or alternatively in the context of more than one embodiment, or

further alternatively in the context of all embodiments, the features and/or elements may instead be provided separately or in any appropriate combination or not at all. Conversely, any features and/or elements described in the context of separate embodiments may alternatively be realized as existing together in the context of a single embodiment.
In one of the embodiments of the present disclosure a device, a system, and a method for estimating a running distance of an electric vehicle based at least on the weight of passengers are disclosed. In an embodiment, the device includes a pressure-resistive sensor and the system in communication with the pressure-resistive sensor. The pressure-resistive sensor is disposed in a seat of the vehicle and adapted to detect a value of pressure on the seat, which is indicative of the weight of passengers of the vehicle. The system receives the value of the pressure from the sensor and details indicative of a state of charge of a battery. Based on the pressure value and the state of the charge of the battery, the system determines a Distance To Empty (DTE) of the vehicle. Therefore, the device determines the DTE based on the state of charge of the battery and the weight of the passengers.
In one of the embodiments of the present disclosure a device, a system, and a method for estimating a running distance of an electric vehicle based at least on the weight of on-board cargo are disclosed. In an embodiment, the device includes a pressure-resistive sensor and the system in communication with the pressure-resistive sensor. The pressure-resistive sensor is disposed to detect the weight of the cargo in the vehicle, which is indicative of the weight of the cargo. The system receives the value of the pressure from the sensor and details indicative of a state of charge of a battery. Based on the pressure value and the state of the charge of the battery, the system determines a Distance To Empty (DTE) of the vehicle. Therefore, the device determines the DTE based on the state of charge of the battery and the weight of the on-board cargo.

In one of the embodiments of the present disclosure, the system includes a receiving module adapted to receive a value of pressure from the pressure-resistive sensor. The value is indicative of at least one of the weight of the passengers and the weight of the on-board cargo. The receiving module also receives the details indicative of the state of charge of the battery. The system further includes an estimating module in communication with the receiving module. The estimating module is adapted to estimate the DTE of the vehicle based on the state of the charge of the battery and the pressure value, i.e., at least one of the weight of the passengers and the weight of the on-board cargo.
In one of the embodiments of the present disclosure, the method includes receiving a value of pressure from the pressure-resistive sensor. The value is indicative of at least one of the weight of the passengers of the vehicle and the weight of the on-board cargo. The method also includes receiving the details indicative of the state of charge of the battery. The method further includes estimating the DTE of the vehicle based on the state of charge of the battery and the pressure value, i.e., at least one of the weight of the passengers and the weight of the on-board cargo.
Embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
Figure la illustrates a sectional view of a seat 101 of an electric vehicle depicting arrangement of a device 102 for estimating a running distance of the electric vehicle, according to an embodiment of the present disclosure. Figure lb illustrates an exploded view of the device 102 and the seat 101 of the electric vehicle, according to an embodiment of the present disclosure. In an embodiment, the device 102 may be employed in a vehicle to estimate the running distance of the electric vehicle based on a load applied by passengers and/or cargo on the electric vehicle. The running distance may be indicative of a distance travelled by the

electric vehicle before complete discharging of a battery 112 (shown in Figure 2) of the electric vehicle.
In an embodiment, the device 102 may be deployed in the seat 101 of the electric vehicle. The seat 101 may be embodied as one of a rider seat and a passenger seat, without departing from the scope of the present disclosure. The present disclosure is explained with respect to the device 102 deployed in the seat 101 of the electric vehicle. However, it should be appreciated by a person skilled in the art that it should not be construed as limiting, and the device 102 can be deployed at different locations, such as cargo storage, in the electric vehicle.
Referring to Figure la and Figure lb, in the illustrated embodiment, the device 102 may include, but is not limited to, a bottom panel 103-2, a top panel 103-1, a sensing element 104, and a system 106. The bottom panel 103-2 may be disposed on a base member 101-1 of the seat 101 of the electric vehicle. In particular, the bottom panel 103-2 may be mounted on a top surface of the base member 101-1 of the seat 101 via a plurality of fastening members 105.
Further, the top panel 103-1 may be coupled to the bottom panel 103-2 via the plurality of fastening members 105. The top panel 103-1 may be disposed below a top member 101-2 of the seat 101. The top member 101-2 of the seat may be embodied as a seat foam adapted to be compressed based on a load applied on the top member 101-2. In an embodiment, the load may be analogous to a pressure applied on the seat 101 when the passenger and/or rider occupies such seat. The top panel 103-1 may be adapted to move along with the top member 101-2 and relative to the bottom panel 103-2 of the device 102 based on the load applied on the top member 101-2 of the seat 101. The top panel 103-1 may be adapted to be in contact with a bottom surface of the top member 101-2 of the seat 101. In an embodiment, a profile of the top panel 103-1 may conform to a profile of the bottom surface of the top member 101-2 of the seat 101.

The top panel 103-1 may comprise a plurality of nodes formed on a surface facing the sensing element 104 and adapted to form a contact with the sensing element 104 based on the movement of the top panel 103-1. The sensing element 104 may be disposed between the top panel 103-1 and the bottom panel 103-2. The sensing element 104 may be adapted to detect the load on the seat 101 of the electric vehicle based on the movement of the top panel 103-1 with respect to the bottom panel 103-2.
In an embodiment, the sensing element 104 is adapted to detect the value indicative of the load applied on the seat 101 based on the contact between the sensing element 104 and the plurality of nodes of the top panel 103-1. The sensing element 104 may be embodied as a pressure-resistive sensor. In an embodiment, the sensing element 104 may be embodied as a weight transducer adapted to detect the value of an electrical resistance based on the load transferred to the top panel 103-1 from the top member 101-2 of the seat 101.
Further, the system 106 may be in communication with the battery 112 of the electric vehicle and the sensing element 104. The system 106 may be configured to estimate the running distance of the electric vehicle based on at least a value associated with a state of charge of the battery 112 and the value indicative of the load applied on the at least one seat 101. Operational and constructional aspects of the system 106 are explained in detail in the subsequent sections of the present disclosure.
Figure 2 illustrates an environment 200 depicting a block diagram of the device 102 for estimating the running distance of the electric vehicle based on at least one of the weight of passengers and the weight of on-board cargo, according to an embodiment of the present disclosure. For the sake of brevity, the electric vehicle is hereinafter referred to as the vehicle, without departing from the scope of the present disclosure. Figure 3 illustrates a flow diagram 300 depicting operation of the device 102, according to an embodiment of the present disclosure.

Referring to Figures la-lb, Figure 2, and Figure 3, the sensing element 104 and the system 106 may be in communication with each other. As explained earlier, the sensing element 104 may be adapted to detect a value of the load, such as a pressure, on the seat 108. In an embodiment, the load may interchangeably be referred to as a pressure, without departing from the scope of the present disclosure. In an embodiment, the system 106 may be configured to determine the weight of passengers and/or rider of the vehicle based on the value of the load. In another embodiment, the sensing element 104 may be disposed to detect a value indicative of weight of the on-board cargo.
Further, the device 102 may include a current sensor 110 in communication with the system 106. The current sensor 110 may be adapted to detect the state of charge of the battery 112. The system 106 may include, but is not limited to, a processor 114, memory 116, modules 118, and data 120. The modules 118 and the memory 116 may be coupled to the processor 114.
The processor 114 can be a single processing unit or several units, all of which could include multiple computing units. The processor 114 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. Among other capabilities, the processor 114 is configured to fetch and execute computer-readable instructions and data stored in the memory 116.
The memory 116 may include any non-transitory computer-readable medium known in the art including, for example, volatile memory, such as static random-access memory (SRAM) and dynamic random access memory (DRAM), and/or non-volatile memory, such as read-only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes.

The modules 118, amongst other things, include routines, programs, objects, components, data structures, etc., which perform particular tasks or implement data types. The modules 118 may also be implemented as, signal processor(s), state machine(s), logic circuitries, and/or any other device or component that manipulate signals based on operational instructions.
Further, the modules 118 can be implemented in hardware, instructions executed by a processing unit, or by a combination thereof. The processing unit can comprise a computer, a processor, such as the processor 114, a state machine, a logic array, or any other suitable devices capable of processing instructions. The processing unit can be a general-purpose processor which executes instructions to cause the general-purpose processor to perform the required tasks or, the processing unit can be dedicated to performing the required functions. In another embodiment of the present disclosure, the modules 118 may be machine-readable instructions (software) which, when executed by a processor/processing unit, perform any of the described functionalities.
In an embodiment, the modules 118 may include a receiving module 122, a filtering module 124, an estimating module 126, and a learning module 128. The receiving module 122, the filtering module 124, the estimating module 126, and the learning module 128 may be in communication with each other. The data 120 serves, amongst other things, as a repository for storing data processed, received, and generated by one or more of the modules 118.
In an embodiment, the processor 114 may be configured to determine information indicative of a set of parameters associated with one of the electric vehicle and a set of environmental parameters. The set of parameters associated with the electric vehicle may include, but is not limited to, at least one of a kerb weight, a short-term trip average, and a long-term trip average. Further, the set of environmental parameters may include, but is not limited to, at least one of an

ambient temperature and a traffic condition along a path between a current position of the electric vehicle and a destination.
In an embodiment, the processor 114 may be configured to determine a type of trip average, such as the short-term trip average and the long-term trip average, based on a speed of the vehicle and a number of power ON/OFF cycles of the vehicle. In an embodiment, the receiving module 122 may determine the ambient temperature and the traffic condition based on data received from a temperature sensor and a Global Positioning System (GPS) unit deployed in the vehicle.
Further, the processor 114 may be configured to monitor a charging state of the battery of the electric vehicle. The charging state may be indicative of the value associated with the state of charge of the battery. As mentioned earlier, the processor 114 may be in communication with the current sensor 110 and, is configured to receive data, from the current sensor 110, indicative of the value associated with the state of charge of the battery.
In an embodiment, the receiving module 122 may be configured to receive the value associated with the state of charge of the battery from the current sensor. The receiving module 122 may be adapted to receive the value indicative of the load applied on the seat 101 from the sensing element 104. In an embodiment, the receiving module 122 may receive the value of the electrical resistance based on the load, such as the weight of the passengers and/or rider, on the seat 101. The processor 114 may be configured to determine the weight of the passengers and/or rider based on the received value of the electrical resistance.
In an embodiment, the receiving module 122 may be in communication with the filtering module 124. The filtering module 124 may be adapted to filter the signal received from the sensing element 104. The filtering module 124 may be in communication with the estimating module 126.

The estimating module 126 may be adapted to estimate a Distance To Empty (DTE), i.e., the running distance, of the vehicle, based on the value indicative of the load, the value associated with the state of the charge of the battery 112, the set of parameters associated with the vehicle, and the set of environmental parameters. In particular, the estimating module 126 may estimate the DTE based the value associated with the state of charge and the weight of the passenger and/or rider on the seat 101 determined based on the value indicative of the load.
Further, the processor 114 may be configured to display the estimated running distance of the vehicle on a display unit (not shown) of the vehicle. Therefore, the system 106 may be adapted to estimate the DTE based on the state of charge of the battery 112 and at least one of the weight of the passengers and the weight of the on-board cargo in addition to other parameters.
Figure 4 illustrates a flow diagram 400 depicting input for estimating the running distance, i.e., DTE by the estimating module 126. In an embodiment, the estimating module 126 may be in communication with the learning module 128.
In an embodiment, the learning module 128 may be adapted to learn details relating to the determining of the DTE over a period of time. The learned details may then be used, for example, by the estimating module 126 for estimation of the DTE for subsequent cycles. Further, historical data relating to the discharge of the battery 112 may also be used for estimating the DTE of the vehicle. In an embodiment, the historical data may be stored in the memory 116 and may include, but is not limited to, information associated with the DTE during previous power ON cycles of the vehicle, weight loaded on the vehicle on previous trips, previous discharging rate of the battery, and the type of trips completed by the vehicle.
Figure 5 illustrates a flow chart depicting a method 500 of estimating the running distance of the vehicle based on at least one of the weight of the passengers and the weight of the on-board cargo, according to an embodiment of the present

disclosure. The method 500 may be a computer-implemented method executed, for example, by the processor 114. For the sake of brevity, constructional and operational features of the charging device that are already explained in the description of Figures la-lb, Figure 2, Figure 3, and Figure 4 are not explained in detail in the description of Figure 5.
At a block 502, the method 500 includes determining information indicative of the set of parameters associated with one of the electric vehicle and the set of environmental parameters. The set of parameters associated with the electric vehicle may include, but is not limited to, at least one of a kerb weight, a short-term trip average, and a long-term trip average. Further, the set of environmental parameters may include, but is not limited to, at least one of an ambient temperature and a traffic condition along a path between a current position of the electric vehicle and a destination.
At a block 504, the method 500 includes monitoring the charging state of the battery of the electric vehicle. The charging state is indicative of the value associated with the state of charge of the battery. At a block 506, the method 500 includes receiving the value indicative of the load applied on the at least one seat from the sensing element and the value associated with the state of charge of the battery. In an embodiment, the sensing element may be embodied as a weight transducer. In such an embodiment, the value of the electrical resistance may be received by the processor 114 based on the load, such as the weight of the passengers and/or rider, on the seat 101. Further, the method includes determining the weight of the passengers and/or rider based on the received value of the electrical resistance.
At a block 508, the method 500 includes estimating the DTE, i.e., running distance of the electric vehicle based on the value associated with the state of charge, the set of parameters, the set of environmental parameters, and the value

indicative of the load applied on the at least one seat. Further, the method 500 may include displaying the estimated DTE on the display unit of the electric vehicle.
As would be gathered, the device 102, the system 106, and the method 500 of the present disclosure offer a comprehensive approach for estimating the running distance of the vehicle. Among other things, the device 102 ensures accurate estimation of the running distance based on the weight on the vehicle. For example, based on the presence of a pillion rider on the vehicle, the device 102 may update the estimation of the running distance. Similarly, based on different weights of the on-board cargo, the device 102 may update the estimation of the running distance.
The device 102 also considers factors, such as the temperature, the short-term trip average, the long-term trip average, the traffic condition, and the state of charge of the battery 112 for estimating the running distance. Furthermore, the device 102 may also consider historical data relating to discharge of the battery 112 for the estimating, further fine-tuning the accuracy of the estimation. In addition, the device 102 has the learning capabilities, ensuring that the accuracy is improved with each subsequent cycle of operation. Therefore, the present disclosure offers a comprehensive, operation-effective, cost-effective, and accurate approach for determining the running distance of the vehicle.
While specific language has been used to describe the present disclosure, any limitations arising on account thereto, are not intended. As would be apparent to a person in the art, various working modifications may be made to the method to implement the inventive concept as taught herein. The drawings 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.

We Claim:

1. A device (102) for estimating running distance of an electric vehicle, the
device comprising:
a bottom panel (103-2) disposed on a base member (101-1) of a seat (101) of the electric vehicle;
a top panel (103-1) coupled to the bottom panel (103-2) and disposed below a top member (101-2) of the seat (101), wherein the top panel (103-1) is adapted to move along with the top member (101-2) and relative to the bottom panel (103-2) based on a load applied on the top member (101-2) of the seat (101);
a sensing element (104) disposed between the top panel (103-1) and the bottom panel (103-2), wherein the sensing element (104) is adapted to detect the load on the seat (101) of the electric vehicle based on the movement of the top panel (103-1) with respect to the bottom panel (103-2); and
a system (106) in communication with a battery (112) of the electric vehicle and the sensing element (104), wherein the system (106) is configured to estimate a running distance of the electric vehicle based on at least a value associated with a state of charge of the battery (112) and a value indicative of the load applied on the at least one seat (101), wherein the running distance is indicative of a distance travelled by the electric vehicle before complete discharging of the battery (112).
2. The device (102) as claimed in claim 1, wherein the top panel (103-1) is adapted to be in contact with a bottom surface of the top member (101-2) of the seat (101), a profile of the top panel (103-1) conforms to a profile of the bottom surface of the top member (101-2) of the seat (101).
3. The device (102) as claimed in claim 1, wherein the top panel (103-1) comprises a plurality of nodes formed on a surface facing the sensing element

(104) and adapted to form a contact with the sensing element (104) based on the movement of the top panel (103-1).
4. The device (102) as claimed in claim 3, wherein the sensing element (104) is adapted to detect the value indicative of the load applied on the seat (101) based on the contact between the sensing element (104) and the plurality of nodes of the top panel (103-1).
5. The device (102) as claimed in claim 1, wherein the system (106) comprises:
a processor (114) in communication with the battery (112) of the electric vehicle and the sensing element (104) adapted to detect the load on the seat (101) of the electric vehicle, the processor (114) is configured to:
determine information indicative of a set of parameters associated with one of the electric vehicle and a set of environmental parameters, and
monitor a charging state of the battery (112) of the electric vehicle, wherein the charging state is indicative of a value associated with a state of charge of the battery (112);
receive a value indicative of the load applied on the at least one seat (101) from the sensing element (104) and the value associated with the state of charge of the battery (112); and
estimate the running distance of the electric vehicle based on the value associated with the state of charge, the set of parameters, the set of environmental parameters, and the value indicative of the load applied on the at least one seat (101); and
display the estimated running distance of the electric vehicle on a display unit of the electric vehicle.
6. The device (102) as claimed in claim 5, wherein the set of parameters
associated with the electric vehicle comprises at least one of a kerb weight, a
short-term trip average, and a long-term trip average, the set of environmental

parameters comprises at least one of an ambient temperature and a traffic condition along a path between a current position of the electric vehicle and a destination.
The device (102) as claimed in claim 1, wherein the sensing element (104) is embodied as a weight transducer adapted to detect the value of a resistance based on the load applied on the seat (101).
The device (102) as claimed in any of claims 5 and 7, wherein the processor (114) of the system (106) is configured to determine information associated with a weight of at least one of a cargo and a passenger and/or rider positioned on the seat (101) based on the value of the resistance corresponding to the load on the seat (101).
The device (102) as claimed in claim 5 further comprising a current sensor (110) in communication with the system (106), the current sensor (110) is adapted to detect the state of charge of the battery (112).
A system (106) for estimating running distance of an electric vehicle, the system (106) comprising:
a processor (114) in communication with a battery (112) of the electric vehicle and a sensing element (104) adapted to detect a load on at least one seat (101) of the electric vehicle, the processor (114) configured to:
determine information indicative of a set of parameters associated with one of the electric vehicle and a set of environmental parameters; monitor a charging state of the battery (112) of the electric vehicle, wherein the charging state is indicative of a value associated with a state of charge of the battery (112);
receive a value indicative of the load applied on the at least one seat (101) from the sensing element (104) and the value associated with the state of charge of the battery (112); and

estimate a running distance of the electric vehicle based on the value associated with the state of charge, the set of parameters, the set of environmental parameters, and the value indicative of the load applied on the at least one seat (101), wherein the running distance is indicative of a distance travelled by the electric vehicle before complete discharging of the battery (112).
The system (106) as claimed in claim 9, wherein the set of parameters associated with the electric vehicle comprises at least one of a kerb weight, a short-term trip average, and a long-term trip average, the set of environmental parameters comprises at least one of an ambient temperature and a traffic condition along a path between a current position of the electric vehicle and a destination.
The system (106) as claimed in claim 9, wherein the sensing element (104) is embodied as a weight transducer adapted to detect the value of a resistance based on the load applied on the seat (101).
The system (106) as claimed in claim 11, wherein the processor (114) is configured to determine information associated with a weight of at least one of a cargo and a passenger and/or rider positioned on the seat (101) based on the value of the resistance corresponding to the load on the seat (101).
A method (500) for estimating running distance of an electric vehicle, the method comprising:
determining information indicative of a set of parameters associated with one of the electric vehicle and a set of environmental parameters;
monitoring a charging state of the battery (112) of the electric vehicle, wherein the charging state is indicative of a value associated with a state of charge of the battery (112);

receiving a value indicative of the load applied on the at least one seat (101) from the sensing element (104) and the value associated with the state of charge of the battery (112); and
estimating a running distance of the electric vehicle based on the value associated with the state of charge, the set of parameters, the set of environmental parameters, and the value indicative of the load applied on the at least one seat (101).