WO2024092604A1 - Slope estimation system and method for electric vehicle - Google Patents

Abstract

Provided are a slope estimation system and method for an electric vehicle. The method comprises: using a pedal position sensing component (2) to measure a position variation of an accelerator pedal (M1) of an electric vehicle (M), and configuring a vehicle speed sensing component (3) to measure the vehicle speed of the electric vehicle (M); when the change amplitude of the position variation of the accelerator pedal (M1) from an nth second to an (n+k)th second is less than 10% of the position variation thereof at the nth second, and when the change amplitude of the vehicle speed of the electric vehicle (M) from the nth second to the (n+k)th second is less than 10% of the vehicle speed at the nth second, a control component (4) performing a weight estimation program, so as to obtain the vehicle speed of the electric vehicle (M) at the (n+k)th second and the weight of the electric vehicle (M); using a torsiometer (1) to measure the torsion of a motor of the electric vehicle (M); and on the basis of the vehicle speed of the electric vehicle (M) at the (n+k)th second, the torsion and the estimated weight of the electric vehicle (M), the control component (4) further estimating a slope value of the position where the electric vehicle (M) is located. Therefore, the effect of improving the accuracy of estimating the slope of an electric vehicle is achieved.

Description

Slope estimation system and method for electric vehicle Technical Field

The present invention relates to a vehicle slope estimation system and method, and in particular to a vehicle slope estimation system and method.

Background technique

In the prior art, the slope measurement method for the location of the electric vehicle is mainly measured by using an inertial measurement unit (IMU). The inertial measurement unit 1 may be composed of, for example, a plurality of acceleration sensing components (mainly measuring the linear acceleration of the vehicle in the direction of travel) and a plurality of gyroscopes (mainly measuring the angular velocity of the vehicle in the direction of travel), so that the posture of the vehicle can be further calculated, and the road slope information of the vehicle can be obtained.

However, the above slope estimation method is not cost-effective because it requires an inertial measurement unit to be installed on the vehicle. In addition, the above slope estimation method still has room for improvement in accuracy.

Summary of the invention

The technical problem to be solved by the present invention is to provide a slope estimation system and method for an electric vehicle in view of the deficiencies in the prior art.

In order to solve the above technical problems, one of the technical solutions adopted by the present invention is to provide a slope estimation system for an electric vehicle, which includes a torque meter, a pedal position sensing component, a vehicle speed sensing component and a control component. The torque meter is arranged on the electric vehicle, and the torque meter is used to detect the torque of the motor of the electric vehicle. The pedal position sensing component is arranged in the electric vehicle, and the pedal position sensing component is used to detect the position change of the accelerator pedal of the electric vehicle. The vehicle speed sensing component is arranged on the electric vehicle, and the vehicle speed sensing component is used to detect the speed of the electric vehicle. The control component has a storage unit, the control component is arranged in the electric vehicle and is electrically connected to the torque meter, the pedal position sensing component and the vehicle speed sensing component, and the storage unit stores a database, and the data in the database include the torque of the motor of the electric vehicle, the position change of the accelerator pedal, the speed of the electric vehicle, the weight of the electric vehicle and the slope value of the location of the electric vehicle. The control component is used to collect the position change of the accelerator pedal and the speed of the electric vehicle. When the change range of the position change of the accelerator pedal from the nth second to the n+kth second is less than 10% of the position change at the nth second, and when the change range of the speed of the electric vehicle from the nth second to the n+kth second is less than 10% of the speed at the nth second, the control component estimates the weight of the electric vehicle based on the collected position change of the accelerator pedal and the speed of the electric vehicle. The control component is used to compare the speed of the electric vehicle at the n+kth second, the torque of the motor of the electric vehicle and the estimated weight of the electric vehicle with the data in the database to estimate the slope value of the location of the electric vehicle.

Preferably, when the position change of the accelerator pedal at the nth second exceeds half of the stroke of the accelerator pedal, the control component is used to collect the position change at the nth second, and when the variation range of the position change of the accelerator pedal from the nth second to the n+kth second is less than 10% of the position change at the nth second, the control component is used to collect the speed of the electric vehicle at the n+kth second, and the control component is used to compare the speed of the electric vehicle at the n+kth second and the position change of the accelerator pedal at the nth second with the data in the database to estimate the weight of the electric vehicle.

Preferably, the weight of the electric vehicle includes the load-bearing weight and the body weight.

Preferably, the pedal position of the accelerator pedal includes an initial position and an end position, and the stroke of the accelerator pedal is defined as the distance between the initial position and the end position.

In order to solve the above technical problems, another technical solution adopted by the present invention is to provide a slope estimation method for an electric vehicle, wherein the electric vehicle includes a torque meter, a pedal position sensing component, a vehicle speed sensing component and a control component, wherein the control component is electrically connected to the torque meter, the pedal position sensing component and the vehicle speed sensing component, and the slope estimation method includes the following steps: using the pedal position sensing component to detect the position change of the accelerator pedal of the electric vehicle and configuring the vehicle speed sensing component to detect the vehicle speed of the electric vehicle; when the change range of the position change of the accelerator pedal from the nth second to the n+kth second is less than When the position change at the nth second is 10%, and when the speed of the electric vehicle changes from the nth second to the n+kth second by less than 10% of the speed at the nth second, the control component is used to perform a weight estimation procedure based on the position change of the accelerator pedal of the electric vehicle and the speed of the electric vehicle to obtain the speed of the electric vehicle at the n+kth second and the weight of the electric vehicle; a torque meter is used to detect the torque of the motor of the electric vehicle; and the control component is used to further estimate the slope value of the location of the electric vehicle based on the speed of the electric vehicle at the n+kth second, the torque and the estimated weight of the electric vehicle.

Preferably, the weight estimation procedure includes the following steps: when the pedal position sensing component detects that the position change of the accelerator pedal at the nth second exceeds half of the stroke of the accelerator pedal, the control component is used to collect the position change of the accelerator pedal at the nth second; and the control component compares the position change of the accelerator pedal at the nth second and the speed of the electric vehicle at the n+kth second with the data in the database built into the control component to estimate the weight of the electric vehicle.

Preferably, the data in the database include the slope value of the electric vehicle, the position change of the accelerator pedal, the speed of the electric vehicle, the weight of the electric vehicle and the torque of the motor of the electric vehicle.

Preferably, the weight of the electric vehicle includes the load-bearing weight and the body weight.

Preferably, the pedal position of the accelerator pedal includes an initial position and an end position, and the stroke of the accelerator pedal is defined as the distance between the initial position and the end position.

One of the beneficial effects of the present invention is that the slope estimation system and method for an electric vehicle provided by the present invention can improve the accuracy of the slope estimation of the electric vehicle through the technical solution of "a control component is used to compare the speed of the electric vehicle at the n+kth second, the torque of the motor of the electric vehicle and the estimated weight of the electric vehicle with the data in the database to estimate the slope value of the location of the electric vehicle".

To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram of a slope estimation system for an electric vehicle according to the present invention.

FIG. 2 is a schematic diagram showing the position change of the accelerator pedal of the electric vehicle of the present invention.

FIG. 3 is a schematic diagram of steps S11 to S17 of the slope estimation method for an electric vehicle of the present invention.

FIG. 4 is a schematic diagram of the operation flow of the slope estimation method of an electric vehicle according to the present invention.

FIG. 5 is a schematic diagram of steps S131 to S133 of the weight estimation procedure of the electric vehicle of the present invention.

FIG. 6 is a schematic diagram of the operation flow of the weight estimation procedure of the electric vehicle according to the present invention.

FIG. 7 is a schematic diagram of a database of a slope estimation system for an electric vehicle according to the present invention.

Detailed ways

The following is an explanation of the implementation methods of the "slope estimation system and method for electric vehicles" disclosed in the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the concept of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted in actual size. It is stated in advance. The following implementation methods will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

It should be understood that, although the terms "first", "second", "third", etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are mainly used to distinguish one element from another element. In addition, the term "or" used herein may include any one or more combinations of the associated listed items depending on the actual situation.

Example

Referring to FIG1 , FIG1 is a schematic diagram of a slope estimation system for an electric vehicle of the present invention. The present invention provides a slope estimation system for an electric vehicle M, which comprises: a torque meter 1 , a pedal position sensing component 2 , a vehicle speed sensing component 3 and a control component 4 .

The torque meter 1 is provided on the electric vehicle M. For example, the torque meter 1 is connected to an output shaft (not shown) of a motor of the electric vehicle M. Thus, the torque meter 1 can detect the torque of the motor of the electric vehicle M.

The pedal position sensing component 2 is arranged inside the electric vehicle M and connected to the accelerator pedal M1, and is used to detect the position change of the accelerator pedal M1 of the electric vehicle M. Refer to FIG2 , which is a schematic diagram of the position change of the accelerator pedal of the electric vehicle of the present invention. The pedal position of the accelerator pedal M1 includes an initial position IP and an end position EP, wherein the initial position IP indicates that the accelerator pedal M1 is completely released, and the end position EP indicates that the accelerator pedal M1 is completely pressed down, and the angular displacement between the initial position IP and the end position EP is the stroke of the accelerator pedal M1, which indicates the pedal operation range of the accelerator pedal M1.

Continuing to refer to FIG. 1 , the vehicle speed sensing component 3 is disposed on the electric vehicle M to detect the vehicle speed information of the electric vehicle M. For example, the vehicle speed sensing component 3 may be a magnetic induction shaft speed sensing component, coupled to the output shaft (not shown) of the gearbox of the electric vehicle M, to detect the speed of the output shaft, and the control component 4 receives the sensing signal output by the vehicle speed sensing component 3 to obtain the vehicle speed of the electric vehicle M. Alternatively, the vehicle speed sensing component 3 may also be a wheel speed sensor, which may be coupled to the wheel (or coupled to the main reducer or the transmission) to detect the speed of the wheel. In other words, the present invention is not limited to the type of the vehicle speed sensing component 3.

The control component 4 is a vehicle control unit (VCU), which is arranged inside the electric vehicle M. The control component 4 is used to receive various sensing signals output by various sensing components in the vehicle to obtain vehicle information. For example, the control component 4 is electrically connected to the torque meter 1, the pedal position sensing component 2 and the vehicle speed sensing component 3, so as to transmit signals with the torque meter 1, the pedal position sensing component 2 and the vehicle speed sensing component 3 to collect the torque of the motor of the electric vehicle M, the pedal position change and the vehicle speed and store them in a storage unit 40 in the control component 4. The storage unit 40 can be, for example, but not limited to, a flash memory. Then, the control component 4 can further read and analyze and then output the corresponding control signal to the relevant component to command it to perform the corresponding action.

The operating mechanism of the slope estimation system of the electric vehicle of the present invention is further described. Referring to FIG. 3 and FIG. 4, and referring to FIG. 1 together, FIG. 3 is a schematic diagram of steps S11 to S17 of the slope estimation method of the electric vehicle of the present invention, and FIG. 4 is a schematic diagram of the operation flow of the slope estimation method of the electric vehicle of the present invention. The present invention provides a slope estimation method of an electric vehicle M, which is applied to the slope estimation system of the electric vehicle M, and the slope estimation method at least includes the following steps:

Step S11: Use the pedal position sensing component 2 to detect the position change of the accelerator pedal M1 of the electric vehicle M and use the vehicle speed sensing component 3 to detect the vehicle speed of the electric vehicle M.

Step S13: When the position change of the accelerator pedal M1 from the nth second to the n+kth second is less than 10% of the position change at the nth second, and when the speed of the electric vehicle M from the nth second to the n+kth second is less than 10% of the speed at the nth second, the control component 4 is used to perform a weight estimation procedure according to the position change of the accelerator pedal M1 of the electric vehicle M and the current speed of the electric vehicle M to estimate the weight of the electric vehicle M.

It should be noted that the weight of the electric vehicle M includes the body weight of the electric vehicle M and the carrying weight of the electric vehicle M.

Step S15: Use the torque meter 1 to detect the current torque of the motor of the electric vehicle M.

Step S17: The control component 4 is used to compare the current speed of the electric vehicle M, the current torque of the motor of the electric vehicle M and the estimated weight of the electric vehicle M with the data in the database A built into the storage unit 40 of the control component 4 to estimate the electric vehicle M.

For example, if k=1, that is, the position change detected by the pedal position sensing component 2 within 1 second (i.e., the time period from the nth second to the n+1th second) is less than 10% of the position change at the nth second, and the speed change of the electric vehicle M from the nth second to the n+1th second is less than 10% of the speed at the nth second, the control component 4 performs a weight estimation procedure according to the position change of the accelerator pedal M1 of the electric vehicle M and the current speed of the electric vehicle M to estimate the weight of the electric vehicle M. Then, the control component 4 further estimates the slope value of the location of the electric vehicle M according to the current speed of the electric vehicle M, the current torque of the motor of the electric vehicle M and the estimated weight of the electric vehicle M. However, it should be noted that the present invention is not limited to the value of k (k can be any value, but k is greater than or equal to 1). The setting of this condition is mainly used to determine that when the control component 4 collects the speed of the electric vehicle M, the driving of the electric vehicle M has maintained a stable state for a period of time.

Referring to FIG. 5 and FIG. 6 , and referring to FIG. 1 together, FIG. 5 is a schematic diagram of steps S131 to S133 of the weight estimation procedure of the electric vehicle of the present invention, and FIG. 6 is a schematic diagram of the operation flow of the weight estimation procedure of the electric vehicle of the present invention. The weight estimation procedure at least includes the following steps:

Step S131: when the pedal position sensing component 2 detects that the position change of the accelerator pedal M1 at the nth second exceeds half of the stroke of the accelerator pedal M1, the control component 4 is used to collect the position change of the accelerator pedal M1 at the nth second;

Step S132: When the change range of the position of the accelerator pedal M1 from the nth second to the n+kth second is less than 10% of the change range of the position at the nth second, the control component 4 is used to collect the speed of the electric vehicle M at the n+kth second;

Step S133: The control component 4 compares the position change of the accelerator pedal M1 at the nth second and the speed of the electric vehicle M at the n+kth second with the data in the database of the storage unit 40 built into the control component 4 to estimate the weight of the electric vehicle M.

Specifically, when the driver is driving the electric vehicle M, he or she will step on the accelerator pedal M1. When the pedal position sensing component 2 detects that the position change of the accelerator pedal M1 at the nth second exceeds half of the travel of the accelerator pedal M1 (the distance between the initial position IP and the end position EP, see FIG. 2 ) (i.e., exceeds 50% of the travel), the control component 4 will record the position change of the accelerator pedal M1 at the nth second, and collect the position change of the accelerator pedal M1 at the nth second and store it in the storage unit 40.

Next, the driver steps on the accelerator pedal M1 and continues to drive forward, the pedal position sensing component 2 continues to detect the position change of the accelerator pedal M1 of the electric vehicle M, and at the same time the vehicle speed sensing component 3 detects the speed of the electric vehicle M. When the position change detected by the pedal position sensing component 2 for k seconds (i.e., the time interval from the nth second to the n+kth second, k is greater than or equal to 1) is less than 10% of the position change at the nth second, the control component 4 further collects the speed of the electric vehicle M at the n+kth second.

For example, if k=1, that is, the position change detected by the pedal position sensing component 2 within 1 second (i.e., within the time period from the nth second to the n+1th second) is less than 10% of the position change at the nth second, the control component 4 further collects the speed of the electric vehicle M at the n+1th second. Similarly, the setting of this condition is mainly used to determine that when the control component 4 collects the speed of the electric vehicle M, the throttle of the electric vehicle M has maintained a stable state for a period of time.

Next, the control component 4 collects the position change of the accelerator pedal M1 at the nth second and the speed of the electric vehicle M at the n+kth second, and compares the plurality of pieces of information with the data in the database A built into the storage unit 40. It should be noted that when estimating the weight of the electric vehicle M, the slope value at the location of the electric vehicle M is defaulted to 0.

The basic structure of database A can be seen in FIG7 , which includes the slope of the location of the electric vehicle M, the position change of the accelerator pedal, the speed of the electric vehicle, the weight of the electric vehicle, and the torque of the motor of the electric vehicle M. Specifically, the data stored in database A mainly includes a corresponding relationship table between various parameters obtained through multiple field tests. In other words, database A is a collection of a group of related data (slope information of the location of the electric vehicle M, position change of the accelerator pedal M1, speed information of the electric vehicle M, weight of the electric vehicle M, and torque of the motor of the electric vehicle M), so that the control component 4 can obtain the required results through retrieval, sorting, calculation, query and other methods.

For example, the control component 4 may obtain the corresponding relationship table shown in Table 1 below from the database A:

Table I

Table 1 is one embodiment of the corresponding relationship table stored in the database A, which mainly represents the vehicle speed information corresponding to different weights of the electric vehicle M (vehicle weight is 300kg, 500kg, 700kg) under the condition that the position change of the accelerator pedal M1 is 100% (i.e., the accelerator pedal M1 is in the fully depressed state at the end position EP) and lasts for one second (k=1). It should be noted that when estimating the weight of the electric vehicle M, the slope value of the location of the electric vehicle M is defaulted to 0, that is, it is assumed that the ground where the electric vehicle M is located is flat and has no inclination. For example, if the vehicle speed measured by the control component 4 under the condition that the position change of the accelerator pedal M1 is 100% and lasts for one second is 18.8KPH, the control component 4 can know from Table 1 that the estimated vehicle weight is 300kg. However, the above example is only a feasible implementation example and is not intended to limit the present invention. Database A also includes a corresponding relationship table under different conditions (for example, the position change of the accelerator pedal M1 is 50%, 60%, 70%, 80%, 90%, etc.).

After collecting the current speed, current torque and estimated weight of the electric vehicle M, the control component 4 compares the information with the data in the database A built into the storage unit 40 .

Furthermore, the control component 4 can also obtain the corresponding relationship tables shown in Tables 2 to 5 below from the database A:

The	Vehicle weight 300kg	Vehicle weight 500kg	Vehicle weight 700kg
Speed 10KPH	Torque: 4.22Nm	Torque 4.75Nm	Torque: 5.26Nm
Speed 20KPH	Torque: 4.86Nm	Torque: 5.38Nm	Torque 5.90Nm
Speed 30KPH	Torque: 5.74Nm	Torque 6.26Nm	Torque 6.78Nm
Speed 40KPH	Torque 6.86Nm	Torque 7.38Nm	Torque 7.90Nm
Speed 50KPH	Torque 8.22Nm	Torque 8.74Nm	Torque 9.26Nm

Table II

The	Vehicle weight 300kg	Vehicle weight 500kg	Vehicle weight 700kg
Speed 10KPH	Torque 8.56Nm	Torque 12.0Nm	Torque: 15.4Nm
Speed 20KPH	Torque 9.17Nm	Torque: 12.6Nm	Torque 16.0Nm

Speed 30KPH	Torque 10.0Nm	Torque: 13.5Nm	Torque: 16.9Nm
Speed 40KPH	Torque: 11.2Nm	Torque: 14.6Nm	Torque 18.0Nm
Speed 50KPH	Torque: 12.6Nm	Torque 16.0Nm	Torque: 19.4Nm

Table 3

The	Vehicle weight 300kg	Vehicle weight 500kg	Vehicle weight 700kg
Speed 10KPH	Torque: 12.8Nm	Torque: 19.1Nm	Torque: 25.4Nm
Speed 20KPH	Torque: 13.5Nm	Torque: 19.8Nm	Torque: 26.1Nm
Speed 30KPH	Torque: 14.3Nm	Torque: 20.7Nm	Torque 27.0Nm
Speed 40KPH	Torque: 15.5Nm	Torque: 21.8Nm	Torque: 28.0Nm
Speed 50KPH	Torque: 16.9Nm	Torque: 23.1Nm	Torque: 29.5Nm

Table 4

The	Vehicle weight 300kg	Vehicle weight 500kg	Vehicle weight 700kg
Speed 10KPH	Torque: 17.1Nm	Torque: 26.2Nm	Torque: 35.3Nm
Speed 20KPH	Torque: 17.8Nm	Torque: 26.9Nm	Torque: 36.0Nm
Speed 30KPH	Torque: 18.6Nm	Torque: 27.7Nm	Torque: 36.9Nm
Speed 40KPH	Torque: 19.7Nm	Torque: 28.9Nm	Torque: 38.0Nm
Speed 50KPH	Torque: 21.1Nm	Torque: 30.2Nm	Torque: 39.3Nm

Table 5

Advantageous Effects of Embodiments

One of the beneficial effects of the present invention is that the slope estimation system and method for an electric vehicle provided by the present invention can improve the accuracy of the slope estimation of the electric vehicle through the technical solution of "the control component 4 is used to compare the speed of the electric vehicle M at the n+kth second, the torque of the motor of the electric vehicle M and the estimated weight of the electric vehicle M with the data in the database A to estimate the slope value of the location of the electric vehicle M".

The contents disclosed above are only preferred feasible embodiments of the present invention, and are not intended to limit the protection scope of the claims of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention description and drawings are included in the protection scope of the claims of the present invention.

Claims (9)

1. A slope estimation system for an electric vehicle, characterized in that the slope estimation system for the electric vehicle comprises:

   a torque meter, disposed on the electric vehicle, and used to detect the torque of the motor of the electric vehicle;

   a pedal position sensing component, disposed in the electric vehicle, the pedal position sensing component being used to detect a position change of an accelerator pedal of the electric vehicle;

   a vehicle speed sensing assembly, disposed on the electric vehicle, the vehicle speed sensing assembly being used to detect the vehicle speed of the electric vehicle; and

   a control component having a storage unit, the control component being disposed in the electric vehicle and being electrically connected to the torque meter, the pedal position sensing component and the vehicle speed sensing component, the storage unit storing a database, the data in the database including the torque of the motor of the electric vehicle, the position change of the accelerator pedal, the speed of the electric vehicle, the weight of the electric vehicle and the slope value of the location of the electric vehicle;

   Wherein, the control component is used to collect the position change of the accelerator pedal and the speed of the electric vehicle. When the change range of the position change of the accelerator pedal from the nth second to the n+kth second is less than 10% of the position change at the nth second, and when the change range of the speed of the electric vehicle from the nth second to the n+kth second is less than 10% of the speed at the nth second, the control component estimates the weight of the electric vehicle based on the collected position change of the accelerator pedal and the current speed of the electric vehicle.

   The control component is used to compare the current speed of the electric vehicle, the torque of the motor of the electric vehicle and the estimated weight of the electric vehicle with the data in the database to estimate the slope value of the location of the electric vehicle.
2. The slope estimation system of an electric vehicle according to claim 1 is characterized in that when the position change of the accelerator pedal at the nth second exceeds half of the stroke of the accelerator pedal, the control component is used to collect the position change at the nth second, and when the variation range of the position change of the accelerator pedal from the nth second to the n+kth second is less than 10% of the position change at the nth second, the control component is used to collect the vehicle speed of the electric vehicle at the n+kth second, and the control component is used to compare the vehicle speed of the electric vehicle at the n+kth second and the position change of the accelerator pedal at the nth second with the data in the database to estimate the weight of the electric vehicle.
3. The slope estimation system of an electric vehicle according to claim 1, characterized in that the weight of the electric vehicle includes a load-bearing weight and a vehicle body weight.
4. According to the slope estimation system of an electric vehicle as described in claim 1, it is characterized in that the pedal position of the accelerator pedal includes an initial position and an end position, and the stroke of the accelerator pedal is defined as the distance between the initial position and the end position.
5. A slope estimation method for an electric vehicle, the electric vehicle comprising a torque meter, a pedal position sensing component, a vehicle speed sensing component and a control component having a storage unit, the control component being electrically connected to the torque meter, the pedal position sensing component and the vehicle speed sensing component, wherein the slope estimation method comprises the following steps:

   Using the pedal position sensing component to detect the position change of the accelerator pedal of the electric vehicle and configuring the vehicle speed sensing component to detect the vehicle speed of the electric vehicle;

   When the change range of the position of the accelerator pedal from the nth second to the n+kth second is less than 10% of the change range of the position at the nth second, and when the change range of the speed of the electric vehicle from the nth second to the n+kth second is less than 10% of the speed at the nth second, the control component is used to perform a weight estimation procedure according to the change range of the position of the accelerator pedal of the electric vehicle and the speed of the electric vehicle to obtain the speed of the electric vehicle at the n+kth second and the weight of the electric vehicle;

   Using the torque meter to detect the torque of the motor of the electric vehicle; and

   The control component compares the current speed of the electric vehicle, the torque of the motor of the electric vehicle and the estimated weight of the electric vehicle with the data in a database built into the storage unit of the control component to estimate the slope value of the location of the electric vehicle.
6. The slope estimation method of an electric vehicle according to claim 5, characterized in that the weight estimation procedure comprises the following steps:

   When the pedal position sensing component detects that the position change of the accelerator pedal at the nth second exceeds half of the stroke of the accelerator pedal, the control component is used to collect the position change of the accelerator pedal at the nth second;

   When the variation range of the position of the accelerator pedal from the nth second to the n+kth second is less than 10% of the variation of the position at the nth second, the control component is used to collect the speed of the electric vehicle at the n+kth second; and

   The control component compares the position change of the accelerator pedal at the nth second and the speed of the electric vehicle at the n+kth second with the data in the database built into the control component to estimate the weight of the electric vehicle.
7. The slope estimation method of an electric vehicle according to claim 5 is characterized in that the data in the database includes the slope value of the electric vehicle, the position change of the accelerator pedal, the speed of the electric vehicle, the weight of the electric vehicle and the torque of the motor of the electric vehicle.
8. The slope estimation method of an electric vehicle according to claim 5 is characterized in that the weight of the electric vehicle includes the load-bearing weight and the body weight.
9. The slope estimation method of an electric vehicle according to claim 5 is characterized in that the pedal position of the accelerator pedal includes an initial position and an end position, and the stroke of the accelerator pedal is defined as the distance between the initial position and the end position.

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