Method and device for determining remaining mileage of electric automobile and electric automobile

Abstract

The invention provides a method and device for determining the remaining mileage of an electric vehicle and the electric vehicle. The method for determining the remaining mileage of the electric vehicle comprises the following steps: determining the current average power consumption of the electric vehicle in unit time; acquiring current data of driving parameters of the electric vehicle; determining a power consumption standard interval of the electric vehicle according to the current data of the driving parameters; and if the current average power consumption is in the power consumption standard interval, determining the remaining mileage of the electric vehicle according to the current average power consumption. The power consumption standard interval of the electric vehicle is determined according to the current data of the driving parameters of the electric vehicle, the power consumption standard interval dynamically changes along with the driving state of the electric vehicle, and the power consumption standard interval is more suitable for the actual situation of the electric vehicle; when the current average power consumption of the electric vehicle is in the power consumption standard interval, the remaining mileage is determined according to the current average power consumption, whether the current average power consumption is abnormal or not can be judged according to the power consumption standard interval, and the remaining mileage can be determined more accurately.

Description

Technical Field

[0001] The present application relates to the technical field of electric vehicle control, and in particular to a method and device for determining the remaining mileage of an electric vehicle, and an electric vehicle. Background Art

[0002] With the growing demand for reducing dependence on fossil fuels and lowering environmental pollution, new energy vehicles have become a research hotspot in the automotive industry.

[0003] For new energy vehicles, the remaining range of electric vehicles needs to be constantly determined during driving to support the user's driving strategy. In the process of determining the remaining range, accurate energy consumption calculation is required. Energy consumption calculation can also improve energy utilization efficiency and optimize battery life.

[0004] The traditional energy consumption calculation method estimates the average power consumption by dividing the total energy consumption by the total driving distance. This method ignores the changes in energy consumption under dynamic driving conditions such as sudden acceleration, sudden deceleration, and frequent starts and stops. Existing energy consumption calculation methods are often based on simplified models and cannot fully adapt to the complex situations in actual driving. The energy consumption calculation is not accurate enough, resulting in inaccurate calculation of the remaining mileage. Summary of the invention

[0005] The present application provides a more accurate method and device for determining the remaining mileage of an electric vehicle, and an electric vehicle.

[0006] The present application provides a method for determining the remaining mileage of an electric vehicle, comprising:

[0007] Determining the current average power consumption of the electric vehicle per unit time;

[0008] Acquiring current data of driving parameters of the electric vehicle;

[0009] Determining a standard power consumption range of the electric vehicle according to current data of the driving parameters;

[0010] If the current average power consumption is within the power consumption standard range, the remaining mileage of the electric vehicle is determined based on the current average power consumption.

[0011] Optionally, determining the standard power consumption range of the electric vehicle according to the current data of the driving parameter includes:

[0012] The power consumption standard interval is determined based on the current data of the driving parameters and a neural network model; the neural network model is used to characterize the relationship between the driving parameters and the power consumption of the electric vehicle.

[0013] Optionally, the neural network model is obtained by training through a model training method, and the model training method includes:

[0014] The neural network model is trained by taking the historical data of the driving parameters and the historical power consumption data as samples.

[0015] Optionally, determining the power consumption standard range according to the current data of the driving parameter and the neural network model includes:

[0016] Inputting the current data of the driving parameters into the neural network model to obtain the current power consumption of the electric vehicle;

[0017] Determining a driving mode of the electric vehicle according to current data of the driving parameters; the driving modes include a high-speed cruising mode, a congestion mode, and a climbing mode;

[0018] determining a power consumption coefficient according to the driving mode;

[0019] The power consumption standard range is determined according to the product of the current power consumption and the power consumption coefficient.

[0020] Optionally, the model training method further includes:

[0021] Acquiring real-time data of driving parameters and real-time power consumption data of the electric vehicle;

[0022] The neural network model is updated using the real-time driving data and the real-time power consumption data as samples.

[0023] Optionally, the neural network model includes an LSTM model.

[0024] Optionally, the electric vehicle includes a power battery and a motor, and the driving parameters include at least one of vehicle speed, acceleration, power battery voltage, power battery current, and motor power.

[0025] Optionally, the electric vehicle includes a power battery, and determining the current average power consumption of the electric vehicle per unit time includes:

[0026] Determining the discharge amount of the power battery per unit time and the driving mileage of the electric vehicle per unit time;

[0027] The current average power consumption is determined according to the discharge amount and the driving mileage.

[0028] Optionally, the electric vehicle includes a power battery and a range-extending generator, and the determining the current average power consumption of the electric vehicle per unit time includes:

[0029] Determining the discharge amount of the power battery per unit time, the power generation amount of the range extender generator per unit time, and the driving mileage of the electric vehicle per unit time;

[0030] The current average power consumption is determined according to the discharge amount, the power generation amount and the driving mileage.

[0031] Optionally, determining the discharge amount of the power battery per unit time includes:

[0032] Obtaining the voltage and current of the power battery;

[0033] The discharge amount is determined according to the integration of the voltage and the current per unit time.

[0034] Optionally, determining the driving mileage of the electric vehicle per unit time includes:

[0035] Obtaining the speed of the electric vehicle;

[0036] The mileage is determined according to the integral of the vehicle speed per unit time.

[0037] Optionally, determining the power generation of the range-extended generator per unit time includes:

[0038] Obtaining the power generated by the range-extending generator;

[0039] The power generation amount is determined according to the integration of the power generation within a unit time.

[0040] Optionally, determining the current average power consumption according to the discharge amount and the driving mileage includes:

[0041] Determine the quotient of the discharge amount and the driving mileage as the preliminary average power consumption;

[0042] Determining an average speed of the electric vehicle per unit time;

[0043] If the average vehicle speed is greater than the average vehicle speed threshold, determining the preliminary average power consumption as the effective average power consumption;

[0044] If the average vehicle speed is not greater than the average vehicle speed threshold, determining the preliminary average power consumption as invalid average power consumption;

[0045] The current average power consumption is determined according to the effective average power consumption.

[0046] Optionally, determining the current average power consumption according to the effective average power consumption includes:

[0047] When the effective average power consumption within a preset number of unit times is obtained, the current average power consumption is determined according to the average value of the effective average power consumption.

[0048] The present application provides a computer-readable storage medium having a program stored thereon. When the program is executed by a processor, the method for determining the remaining mileage of an electric vehicle described in any one of the above items is implemented.

[0049] The present application provides a device for determining the remaining mileage of an electric vehicle, comprising one or more processors, for implementing any of the above methods for determining the remaining mileage of an electric vehicle.

[0050] The present application provides an electric vehicle, comprising:

[0051] Power battery;

[0052] Motor;

[0053] The remaining mileage determination device as described above is electrically connected to the power battery and the motor.

[0054] In some embodiments, the standard range of power consumption of the electric vehicle is determined based on the current data of the driving parameters of the electric vehicle, so that the standard range of power consumption changes dynamically with the driving state of the electric vehicle, and the standard range of power consumption is more adapted to the actual situation of the electric vehicle; when the current average power consumption of the electric vehicle is in the standard range of power consumption, the remaining mileage is determined based on the current average power consumption, and the standard range of power consumption can be used to determine whether the current average power consumption is abnormal, so that the remaining mileage can be determined more accurately.

[0055] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0057] Figure 1 Shown is a structural block diagram of an embodiment of the electric vehicle of the present application.

[0058] Figure 2 Shown is a flow chart of an embodiment of a method for determining the remaining range of an electric vehicle of the present application.

[0059] Figure 3 Shown is a structural block diagram of an embodiment of a device for determining remaining mileage of the present application. DETAILED DESCRIPTION

[0060] The present application provides a method and device for determining the remaining mileage of an electric vehicle, and an electric vehicle. The method and device for determining the remaining mileage of an electric vehicle of the present application, and the electric vehicle are described in detail below in conjunction with the accompanying drawings. The features of the following embodiments and implementations may be combined with each other without conflict.

[0061] Figure 1 FIG. 1 is a structural block diagram of an embodiment of an electric vehicle 10 of the present application. Figure 1 As shown, the electric car 10 includes a power battery 11, a motor 12 and a remaining mileage determination device 13 provided in the present application.

[0062] The electric vehicle 10 may also be a range-extended electric vehicle, including a range-extended generator 14. The electric vehicle 10 further includes a meter 18 for displaying various driving parameters of the electric vehicle, such as vehicle speed, acceleration, and the like.

[0063] The electric vehicle 10 further includes a battery management system 15, a motor controller 16, and a range-extending generator controller 17. The battery management system 15 is electrically connected to the power battery 11, and is used to collect various parameters of the power battery 11, such as output voltage and output current. The motor controller 16 is electrically connected to the motor 12, and is used to control the motor 12. The motor controller 16 can collect various parameters of the motor 12, such as rotation speed. The range-extending generator controller 17 is electrically connected to the range-extending generator 14, and is used to collect various parameters of the range-extending generator 14, such as power generation power.

[0064] The remaining mileage determination device 13 is electrically connected to the power battery 11 and the motor 12. Figure 1 In the embodiment shown, the remaining mileage determination device 13 is electrically connected to the power battery 11 through the battery management system 15 and is electrically connected to the motor 12 through the motor controller 16. The remaining mileage determination device 13 collects various parameter data of the power battery 11 and the motor 12.

[0065] The remaining mileage determination device 13 is electrically connected to the meter 18 and is used to receive various driving parameters of the electric vehicle 10 collected by the meter 18 .

[0066] The remaining mileage determination device 13 can collect real-time data of various parameters of the electric vehicle 10 and store them as historical data.

[0067] Figure 2 FIG. 1 is a flow chart of an embodiment of a method 20 for determining a remaining range of an electric vehicle according to the present application.

[0068] like Figure 2 As shown, the method 20 for determining the remaining mileage of an electric vehicle includes: steps 21 to 25.

[0069] Step 21, determining the current average power consumption of the electric vehicle per unit time.

[0070] The unit time can be preset according to the model of the electric vehicle or the actual usage scenario. The unit time can be varied. In some embodiments, the unit time is 1 minute. The current average power consumption represents the power consumption of the electric vehicle for a unit mileage in a unit time.

[0071] Step 22, obtaining current data of the driving parameters of the electric vehicle.

[0072] In some embodiments, the driving parameters include at least one of vehicle speed, acceleration, power battery voltage, power battery current, and motor power.

[0073] The current data of the driving parameters of the electric vehicle can be obtained through various instruments of the electric vehicle, as well as components such as the battery management system and the motor controller.

[0074] In some embodiments, the electric vehicle further includes high voltage components, such as an electric air conditioner, an electric heater, and an electric defroster. The driving parameters further include the output power of the high voltage components.

[0075] Step 23, determining the standard power consumption range of the electric vehicle according to the current data of the driving parameters.

[0076] The power consumption standard range is the normal range of the average power consumption of electric vehicles. Since the calculation of the current average power consumption of electric vehicles may be wrong when the electric vehicle is parked or in special circumstances, and when data collection is abnormal, the power consumption standard range is needed to determine whether the current average power consumption is at a normal level. As the driving state of the electric vehicle changes, the current data of the driving parameters change accordingly. According to the current data of the driving parameters, the power consumption standard range of the electric vehicle is determined, so that the power consumption standard range can change with the changes in the driving parameters, and the power consumption standard range can be more in line with the actual operation of the electric vehicle. The power consumption standard range can more accurately reflect the normal range of power consumption of the electric vehicle when it is in different operating states.

[0077] Step 24, determining whether the current average power consumption is within the power consumption standard range.

[0078] Compare the current average power consumption with the power consumption standard range. The power consumption standard range includes the maximum value and the minimum value. If the current average power consumption is greater than or equal to the minimum value, and less than or equal to the maximum value, it means that the current average power consumption is in the power consumption standard range. If the current average power consumption is less than the minimum value, or greater than the maximum value, it means that the current average power consumption is not in the power consumption standard range.

[0079] Step 25: If the current average power consumption is within the standard power consumption range, the remaining mileage of the electric vehicle is determined based on the current average power consumption.

[0080] If the current average power consumption is within the standard power consumption range, it means that the current average power consumption determined in step 21 is within the normal range of power consumption. The current average power consumption can reflect the current power consumption of the electric vehicle. Therefore, the remaining mileage of the electric vehicle is determined based on the current average power consumption.

[0081] If the current average power consumption is not within the standard power consumption range, it means that the current average power consumption determined in step 21 is not within the normal range of power consumption. The remaining mileage of the electric vehicle obtained based on the current average power consumption is not accurate enough, so return to step 21 to redetermine the current average power consumption of the electric vehicle.

[0082] In some embodiments, the standard range of power consumption of the electric vehicle is determined based on the current data of the driving parameters of the electric vehicle, so that the standard range of power consumption changes dynamically with the driving state of the electric vehicle, and the standard range of power consumption is more adapted to the actual situation of the electric vehicle; when the current average power consumption of the electric vehicle is in the standard range of power consumption, the remaining mileage is determined based on the current average power consumption, and the standard range of power consumption can be used to determine whether the current average power consumption is abnormal, so that the remaining mileage can be determined more accurately.

[0083] In some embodiments, step 21 includes: determining the discharge amount of the power battery 11 per unit time and the mileage of the electric vehicle per unit time; and determining the current average power consumption based on the discharge amount and the mileage.

[0084] The quotient obtained by dividing the discharge amount of the power battery 11 by the mileage is the current average power consumption.

[0085] In some embodiments, determining the current average power consumption based on the discharge amount and the mileage includes: determining the quotient of the discharge amount and the mileage as the preliminary average power consumption; determining the average speed of the electric vehicle in unit time; if the average speed is greater than an average speed threshold, determining the preliminary average power consumption as the effective average power consumption; if the average speed is not greater than the average speed threshold, determining the preliminary average power consumption as the invalid average power consumption; and determining the current average power consumption based on the effective average power consumption.

[0086] Since an abnormal increase in average power consumption may occur when an electric vehicle is at a low speed or stationary state, in order to accurately calculate the average power consumption, it is necessary to remove the power consumption data in this case. First, define the average speed threshold of the electric vehicle under normal driving conditions. In some embodiments, the average speed threshold is 5km / h. When the average speed of the electric vehicle is greater than the average speed threshold, it means that the electric vehicle is in a normal driving state. At this time, the preliminary average power consumption determined is the effective average power consumption. When the average speed of the electric vehicle is not greater than the average speed threshold, it means that the electric vehicle is in an abnormal driving state. At this time, the preliminary average power consumption determined is the invalid average power consumption. When calculating the current average power consumption, only the effective average power consumption is considered, and the invalid average power consumption is not considered. The current average power consumption obtained in this way removes the abnormal driving conditions of the electric vehicle and can more accurately reflect the normal power consumption level of the electric vehicle.

[0087] In some embodiments, determining the current average power consumption based on the effective average power consumption includes: when obtaining the effective average power consumption within a preset number of unit times, determining the current average power consumption based on the average value of the effective average power consumption.

[0088] For example, the preset number is 10. When 10 valid average power consumption data are obtained, the average value of these 10 valid average power consumption is used as the current average power consumption in 10 unit times. The preset number can be determined according to the actual usage scenario. When the form state of the electric vehicle changes rapidly, the preset number can be set to a smaller value, so that the current average power consumption obtained can more accurately reflect the operation of the vehicle. When the form state of the electric vehicle changes slowly, the preset number can be set to a larger value, so that the amount of calculation can be reduced and the pressure on computing resources can be alleviated.

[0089] In some embodiments, when a vehicle is just offline or the determination device 13 is replaced, it is necessary to set an initial value for the vehicle's power consumption data. The initial value of the vehicle's current average power consumption is set according to the target average power consumption in the VTS definition.

[0090] In some embodiments, the historical average power consumption of the vehicle is obtained as the initial value for calculating the current average power consumption. The historical average power consumption is used as the effective average power consumption, so the current average power consumption can be calculated by obtaining only one effective average power consumption less than the preset number.

[0091] In some embodiments, the determination device 13 includes a non-volatile EEPROM. After step 21, the remaining mileage determination method 20 further includes: storing the current average power consumption in the non-volatile EEPROM as the historical average power consumption data of the electric vehicle.

[0092] In some embodiments, step 21 includes: determining the discharge amount of the power battery 11 per unit time, the power generation amount of the range extender generator 14 per unit time, and the mileage of the electric vehicle per unit time; determining the current average power consumption based on the discharge amount, power generation amount and mileage.

[0093] If the electric vehicle is powered by both the power battery 11 and the range extender generator 14, first determine the sum of the discharge capacity of the power battery 11 and the power generation capacity of the range extender generator 14 to obtain the total power, then divide the total power by the mileage, and the quotient obtained is the current average power consumption.

[0094] In some embodiments, determining the discharge amount of the power battery 11 per unit time includes: acquiring the voltage and current of the power battery 11; and determining the discharge amount according to the integration of the voltage and the current per unit time.

[0095] The battery management system 15 obtains the voltage and current of the power battery 11 in real time, and integrates the voltage and current per unit time to obtain the discharge amount. The discharge amount can be obtained more accurately through integration.

[0096] In some embodiments, determining the power generation of the range extender generator 14 per unit time includes: acquiring the power generation of the range extender generator 14 ; and determining the power generation according to the integral of the power generation per unit time.

[0097] The range extender generator controller 17 obtains the power generated by the range extender generator 14 in real time, and integrates the power generated per unit time to obtain the power generation. The power generation can be obtained more accurately through the integration operation.

[0098] In some embodiments, determining the mileage of the electric vehicle in a unit time includes: obtaining the speed of the electric vehicle; and determining the mileage according to the integral of the speed in a unit time.

[0099] The speed of the electric vehicle can be determined based on the rotation speed of the motor 12. The rotation speed of the motor 12 can be acquired in real time through the motor controller 16. The speed can be determined by formula (1).

[0100] V SV (t) = 0.377*r*n N / i0 formula(1)

[0101] Among them, V SV (t) is the vehicle speed, r is the rolling radius of the electric vehicle tire, n N is the speed of the motor 12, i It is the main reduction ratio of electric vehicles.

[0102] By integrating the vehicle speed per unit time, the mileage of the electric vehicle can be obtained. Through integration calculation, the mileage can be obtained more accurately.

[0103] In some embodiments, step 23 includes: determining a standard power consumption interval according to current data of the driving parameters and a neural network model. The neural network model is used to characterize the relationship between the driving parameters and the power consumption of the electric vehicle.

[0104] The neural network model can handle complex nonlinear relationships. In this embodiment, the neural network model is used to learn and characterize the complex relationship between driving parameters and the power consumption of the electric vehicle. After the neural network model is determined, it can be used to predict the power consumption of the electric vehicle under the current driving conditions.

[0105] In some embodiments, the neural network model is obtained by training using a model training method, and the model training method includes: using historical data of driving parameters and historical power consumption data as samples to train the neural network model.

[0106] The model training method relies on historical data. Historical data includes historical data of driving parameters and corresponding historical power consumption data. Driving parameters include but are not limited to speed, acceleration, driving distance, road conditions, load, ambient temperature, etc., and historical power consumption data records the actual power consumption of electric vehicles under these driving parameters. The historical data of driving parameters needs to cover different driving conditions and driving behaviors to ensure the generalization ability of the model. Using historical data as input, training is performed through the learning algorithm of the neural network model (for example, the back propagation algorithm). During the training process, the neural network model continuously adjusts its internal parameters to minimize the loss function between the predicted power consumption and the actual power consumption.

[0107] In some embodiments, the model training method further includes: obtaining real-time data of driving parameters and real-time power consumption data of the electric vehicle; and updating the neural network model using the real-time driving data and real-time power consumption data as samples.

[0108] In order to maintain the accuracy and adaptability of the neural network model, it needs to be updated and iterated. Electric vehicles generate a large amount of real-time data during actual driving. Use the real-time data of driving parameters and real-time power consumption data as new training samples to update the neural network model. Specifically, the update is achieved through incremental learning, online learning, or regular retraining of the entire model. During the update process, the neural network model will adjust its internal parameters according to the new data to better reflect the power consumption pattern under the current driving conditions. In this way, it can be ensured that the neural network model can accurately predict the power consumption of electric vehicles under different driving conditions.

[0109] In some embodiments, determining the standard range of power consumption based on the current data of driving parameters and the neural network model includes: inputting the current data of driving parameters into the neural network model to obtain the current power consumption of the electric vehicle; determining the driving mode of the electric vehicle based on the current data of driving parameters; the driving modes include high-speed cruising mode, congestion mode and climbing mode; determining the power consumption coefficient based on the driving mode; and determining the standard range of power consumption based on the product of the current power consumption and the power consumption coefficient.

[0110] The driving mode can reflect the specific driving state of the electric vehicle and has an important impact on power consumption. Through real-time analysis of driving parameters, such as speed, acceleration, road conditions and other information, it is possible to identify which mode the vehicle is currently in. High-speed cruising mode means that the vehicle is driving at a relatively stable high speed on an open road, such as a highway. Congestion mode means that the vehicle is driving on a congested urban road, with frequent acceleration, deceleration and stopping. Climbing mode means that the vehicle is driving on an uphill section and needs additional power to overcome gravity. Driving modes can also include other modes.

[0111] Each driving mode has its own specific power consumption characteristics, so a power consumption coefficient needs to be assigned to each mode. The power consumption coefficient reflects the degree to which the electric vehicle's power consumption increases or decreases in this mode relative to other modes. The power consumption coefficient can be determined by analyzing historical data or set based on expert experience and engineering practice.

[0112] The power consumption standard interval includes a maximum value and a minimum value. Therefore, the power consumption coefficient includes a maximum coefficient and a minimum coefficient. Multiply the current power consumption by the maximum coefficient to obtain the maximum value of the power consumption standard interval. Multiply the current power consumption by the minimum coefficient to obtain the minimum value of the power consumption standard interval.

[0113] In some embodiments, in high-speed cruising mode, the maximum coefficient is 150% and the minimum coefficient is 50%. In congestion mode, the maximum coefficient is 180% and the minimum coefficient is 80%. In climbing mode, the maximum coefficient is 200% and the minimum coefficient is 100%.

[0114] The current power consumption predicted by the neural network model is multiplied by the corresponding power consumption coefficient to obtain the power consumption standard range under a specific driving mode. The power consumption standard range can reflect the possible normal power consumption fluctuation range and is used to determine whether the current average power consumption of the vehicle is within the normal range.

[0115] In some embodiments, the neural network model includes an LSTM model.

[0116] The LSTM model is good at processing and predicting important events with very long intervals and delays in time series. Since the power consumption data of electric vehicles is often closely related to time and is affected by a variety of driving parameters, there may be complex temporal dependencies between these parameters. The application of the LSTM model can well characterize the relationship between driving parameters and vehicle power consumption.

[0117] Figure 3 The figure shows a structural block diagram of an embodiment of the remaining mileage determination device 13 of the present application.

[0118] like Figure 3 As shown, the remaining mileage determination device 13 includes one or more processors 31 for implementing the remaining mileage determination method 20 of the electric vehicle as described above.

[0119] In some embodiments, the determining device 13 may include a computer-readable storage medium 32, which may store a program that can be called by the processor 31 and may include a non-volatile storage medium. In some embodiments, the determining device 13 may include a memory 33 and an interface 34. In some embodiments, the determining device 13 may also include other hardware according to actual applications.

[0120] The computer-readable storage medium 32 of the embodiment of the present application stores a program thereon, and when the program is executed by the processor 31, it is used to implement the method 20 for determining the remaining mileage of the electric vehicle as described above.

[0121] The present application may take the form of a computer program product implemented on one or more computer-readable storage media 32 (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing program code. The computer-readable storage medium 32 includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be a computer-readable instruction, a data structure, a module of a program, or other data. Examples of computer-readable storage media 32 include but are not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassette, tape disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

Claims

1. A method for determining the remaining mileage of an electric vehicle, characterized in that: include: Determining the current average power consumption of the electric vehicle per unit time; Acquiring current data of driving parameters of the electric vehicle; Determining a standard power consumption range of the electric vehicle according to current data of the driving parameters; If the current average power consumption is within the power consumption standard range, the remaining mileage of the electric vehicle is determined based on the current average power consumption.

2. The method for determining the remaining mileage of an electric vehicle according to claim 1, characterized in that: Determining the power consumption standard range of the electric vehicle according to the current data of the driving parameter includes: The power consumption standard interval is determined based on the current data of the driving parameters and a neural network model; the neural network model is used to characterize the relationship between the driving parameters and the power consumption of the electric vehicle.

3. The method for determining the remaining mileage of an electric vehicle according to claim 2, characterized in that: The neural network model is obtained by training through a model training method, and the model training method includes: The neural network model is trained by taking the historical data of the driving parameters and the historical power consumption data as samples.

4. The method for determining the remaining mileage of an electric vehicle according to claim 2, characterized in that: Determining the power consumption standard range according to the current data of the driving parameters and the neural network model includes: Inputting the current data of the driving parameters into the neural network model to obtain the current power consumption of the electric vehicle; Determining a driving mode of the electric vehicle according to current data of the driving parameters; the driving modes include a high-speed cruising mode, a congestion mode, and a climbing mode; determining an electric consumption coefficient according to the driving mode; The power consumption standard range is determined according to the product of the current power consumption and the power consumption coefficient.

5. The method for determining the remaining mileage of an electric vehicle according to claim 3, characterized in that: The model training method also includes: Acquiring real-time data of driving parameters and real-time power consumption data of the electric vehicle; The neural network model is updated using the real-time driving data and the real-time power consumption data as samples.

6. The method for determining the remaining mileage of an electric vehicle according to claim 2, characterized in that: The neural network model includes an LSTM model.

7. The method for determining the remaining mileage of an electric vehicle according to claim 1, characterized in that: The electric vehicle includes a power battery and a motor, and the driving parameter includes at least one of vehicle speed, acceleration, power battery voltage, power battery current, and motor power.

8. The method for determining the remaining mileage of an electric vehicle according to claim 1, characterized in that: The electric vehicle includes a power battery, and determining the current average power consumption of the electric vehicle per unit time includes: Determining the discharge amount of the power battery per unit time and the driving mileage of the electric vehicle per unit time; The current average power consumption is determined according to the discharge amount and the driving mileage.

9. The method for determining the remaining mileage of an electric vehicle according to claim 1, characterized in that: The electric vehicle includes a power battery and a range-extending generator, and the determining the current average power consumption of the electric vehicle per unit time includes: Determining the discharge amount of the power battery per unit time, the power generation amount of the range extender generator per unit time, and the driving mileage of the electric vehicle per unit time; The current average power consumption is determined according to the discharge amount, the power generation amount and the driving mileage.

10. The method for determining the remaining mileage of an electric vehicle according to claim 8 or 9, characterized in that: The determining the discharge amount of the power battery per unit time includes: Obtaining the voltage and current of the power battery; The discharge amount is determined according to the integration of the voltage and the current per unit time.

11. The method for determining the remaining mileage of an electric vehicle according to claim 8 or 9, characterized in that: Determining the driving mileage of the electric vehicle in a unit time includes: Obtaining the speed of the electric vehicle; The mileage is determined according to the integral of the vehicle speed per unit time.

12. The method for determining the remaining mileage of an electric vehicle according to claim 9, characterized in that: The determining the power generation of the range-extended generator per unit time includes: Obtaining the power generated by the range-extending generator; The power generation amount is determined according to the integration of the power generation within a unit time.

13. The method for determining the remaining mileage of an electric vehicle according to claim 8, characterized in that: The determining the current average power consumption according to the discharge amount and the driving mileage includes: Determine the quotient of the discharge amount and the driving mileage as the preliminary average power consumption; Determining an average speed of the electric vehicle per unit time; If the average vehicle speed is greater than the average vehicle speed threshold, determining the preliminary average power consumption as the effective average power consumption; If the average vehicle speed is not greater than the average vehicle speed threshold, determining the preliminary average power consumption as invalid average power consumption; The current average power consumption is determined according to the effective average power consumption.

14. The method for determining the remaining range of an electric vehicle according to claim 13, characterized in that: The determining the current average power consumption according to the effective average power consumption includes: When the effective average power consumption within a preset number of unit times is obtained, the current average power consumption is determined according to the average value of the effective average power consumption.

15. A computer-readable storage medium, characterized in that: A program is stored thereon, and when the program is executed by a processor, the method for determining the remaining mileage of an electric vehicle according to any one of claims 1 to 14 is implemented.

16. A device for determining the remaining mileage of an electric vehicle, characterized in that: The method comprises one or more processors for implementing the method for determining the remaining mileage of an electric vehicle according to any one of claims 1 to 14.

17. An electric vehicle, characterized in that: include: Power battery; Motor; The device for determining the remaining mileage as claimed in claim 16 is electrically connected to the power battery and the motor.

Images