Control method and device for range extender at corresponding time after vehicle operating parameters are lost

Abstract

The present application provides a method and device for controlling a range extender at a corresponding moment after a vehicle's operating parameters are lost. The method includes: when it is detected that the operating parameters of the target vehicle are lost at the current moment, obtaining the operating parameters of the target vehicle at multiple moments before the current moment; predicting the operating parameters of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment; predicting the power required by the target vehicle at the next moment after the current moment based on the predicted operating parameters of the target vehicle at the current moment; and controlling the range extender of the target vehicle based on the predicted power required by the target vehicle at the next moment after the current moment. The above-mentioned technical means are used to solve the problem in the prior art that the range extender cannot be controlled after the vehicle's operating parameters are lost.

Description

Technical Field

[0001] The present application relates to the field of vehicle tracking technology, and in particular to a control method and device for a range extender at a corresponding moment after a vehicle operating parameter is lost. Background Art

[0002] For extended-range electric vehicles, it is necessary to control the range extender to provide additional power to the electric vehicle when the battery power is insufficient to extend its driving range. Control of the range extender needs to be based on the operating parameters of the vehicle at the corresponding moment (such as vehicle speed and vehicle acceleration, etc.). If the operating parameters of the vehicle are lost, the control of the range extender at the corresponding moment cannot be completed. Summary of the invention

[0003] In view of this, the embodiments of the present application provide a control method, device, electronic device and storage medium for a range extender at a corresponding moment after vehicle operating parameters are lost, so as to solve the problem in the prior art that the range extender cannot be controlled after the vehicle operating parameters are lost.

[0004] A first aspect of an embodiment of the present application provides a method for controlling a range extender at a corresponding moment after a vehicle operating parameter is lost, comprising: when it is detected that the operating parameter of a target vehicle is lost at a current moment, obtaining the operating parameters of the target vehicle at multiple moments before the current moment; predicting the operating parameters of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment; predicting the power required by the target vehicle at the next moment after the current moment based on the predicted operating parameters of the target vehicle at the current moment; and controlling the range extender of the target vehicle based on the predicted power required by the target vehicle at the next moment after the current moment.

[0005] According to a second aspect of an embodiment of the present application, there is provided a control device for a range extender at a corresponding moment after a vehicle operating parameter is lost, comprising: an acquisition module, configured to acquire the operating parameters of the target vehicle at multiple moments before the current moment when it is detected that the operating parameters of the target vehicle are lost at the current moment; a prediction module, configured to predict the operating parameters of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment; a calculation module, configured to predict the power required by the target vehicle at the next moment after the current moment based on the predicted operating parameters of the target vehicle at the current moment; and a control module, configured to control the range extender of the target vehicle based on the predicted power required by the target vehicle at the next moment after the current moment.

[0006] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0007] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0008] Compared with the prior art, the beneficial effects of the embodiments of the present application include at least: predicting the operating parameters of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment, predicting the power required by the target vehicle at the next moment after the current moment based on the predicted operating parameters of the target vehicle at the current moment, and controlling the range extender of the target vehicle based on the predicted power required by the target vehicle at the next moment after the current moment. Therefore, the above-mentioned technical means can solve the problem in the prior art that the range extender cannot be controlled after the vehicle operating parameters are lost, and then the range extender can still be controlled after the vehicle operating parameters are lost, thereby ensuring the safety of users' vehicles and improving user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 It is a flow chart of a method for controlling a range extender at a corresponding moment after a vehicle operating parameter is lost, provided in an embodiment of the present application;

[0011] Figure 2 It is a flowchart of a method for calculating the power required by a target vehicle provided in an embodiment of the present application;

[0012] Figure 3 It is a structural schematic diagram of a control device for a range extender at a corresponding moment after a vehicle operating parameter is lost, provided in an embodiment of the present application;

[0013] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0014] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0015] Figure 1It is a flow chart of a method for controlling a range extender at a corresponding moment after a vehicle operating parameter is lost, provided in an embodiment of the present application. Figure 1 The control method of the range extender at the corresponding time after the vehicle operating parameters are lost can be executed by a computer or a server, or a processor set on the computer or server, or software on a computer or a common server. The control method of the range extender at the corresponding time after the vehicle operating parameters are lost includes:

[0016] S101, when it is detected that the operating parameters of the target vehicle are lost at the current moment, obtaining the operating parameters of the target vehicle at multiple moments before the current moment;

[0017] S102, predicting the operating parameters of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment;

[0018] S103, predicting the power required by the target vehicle at the next moment from the current moment according to the predicted operating parameters of the target vehicle at the current moment;

[0019] S104, controlling the range extender of the target vehicle according to the predicted power required by the target vehicle at the next moment from the current moment.

[0020] When the vehicle's battery is low, it is necessary to start and control the range extender to provide additional power to the vehicle. In order to ensure that the power generated by the range extender can maintain the operation of the vehicle and the efficiency of the range extender's power generation, it is necessary to control the range extender based on the vehicle's operating parameters. If the vehicle's operating parameters are lost, the control of the range extender at the corresponding moment cannot be completed. The embodiment of the present application predicts the operating parameters of the target vehicle at the current moment based on the previous operating parameters of the target vehicle, and predicts the power required by the target vehicle at the next moment from the current moment based on the predicted operating parameters at the current moment, thereby completing the control of the range extender. Operating parameters include: battery power, vehicle speed, vehicle acceleration, steering wheel rotation angle, etc.

[0021] According to the technical solution provided by the embodiment of the present application, when it is detected that the operating parameters of the target vehicle are lost at the current moment, the operating parameters of the target vehicle at multiple moments before the current moment are obtained; based on the operating parameters of the target vehicle at multiple moments before the current moment, the operating parameters of the target vehicle at the current moment are predicted; based on the predicted operating parameters of the target vehicle at the current moment, the power required by the target vehicle at the next moment from the current moment is predicted; based on the predicted power required by the target vehicle at the next moment from the current moment, the range extender of the target vehicle is controlled. The above technical means can solve the problem in the prior art that the range extender cannot be controlled after the vehicle operating parameters are lost, and then the range extender can still be controlled after the vehicle operating parameters are lost, thereby ensuring the safety of users' vehicles and improving user satisfaction.

[0022] Furthermore, based on the operating parameters of the target vehicle at multiple moments before the current moment, the operating parameters of the target vehicle at the current moment are predicted, including: acquiring road information of the road on which the target vehicle is traveling, wherein the road information includes: the type of the driving road and the distribution of vehicles and obstacles on the driving road; predicting the operating parameters of the target vehicle at the current moment based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment.

[0023] The type of road you are driving on, including: flat roads, uphill roads, downhill roads, and curving roads, etc.

[0024] Furthermore, the operating parameters of the target vehicle at the current moment are predicted based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment, including: determining a change trend of the operating parameters of the target vehicle based on the road information, wherein the change trend is to increase or decrease the value of the operating parameters of the target vehicle at the current moment; determining a correction value of the operating parameters of the target vehicle based on the difference between the operating parameters of the target vehicle at multiple moments before the current moment; and determining the operating parameters of the target vehicle at the current moment based on the change trend, the correction value and the operating parameters of the target vehicle at the moment before the current moment.

[0025] For example, if the road information indicates that the road slope increases, and the number of vehicles and obstacles also increases, then the change trend is to reduce the value of the operating parameter of the target vehicle at the current moment. The correction value of the operating parameter of the target vehicle is determined according to the difference between the operating parameters at multiple moments before the current moment. For example, the speeds at three moments are 75, 65 and 55 respectively, then the difference is 10, and the difference between every two adjacent moments is used as the correction value. The speed of the target vehicle at the moment before the current moment is 55, the correction value is 10, and the change trend is to reduce the speed, so the speed at the current moment is 45.

[0026] Furthermore, the operating parameters of the target vehicle at the current moment are predicted based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment, including: according to the moments of multiple operating parameters, using multiple operating parameters to fit a parameter change trend characterization function; determining the slope, turning curvature, number of vehicles and number of obstacles of the driving road according to the road information; correcting the coefficient in the parameter change trend characterization function according to the slope, the turning curvature, the number of vehicles and the number of obstacles, wherein the greater the slope, the smaller the coefficient in the parameter change trend characterization function, the greater the turning curvature, the smaller the coefficient in the parameter change trend characterization function, the more the number of vehicles, the smaller the coefficient in the parameter change trend characterization function, and the more the number of obstacles, the smaller the coefficient in the parameter change trend characterization function; using the corrected parameter change trend characterization function to predict the operating parameters of the target vehicle at the current moment.

[0027] The parameter change trend characterization function is obtained by fitting multiple operating parameters, which is to find the law of the operating parameters changing with the time according to the time sequence of the multiple operating parameters, that is, the parameter change trend characterization function. In order to take into account the influence of road information on the operating parameters of the target vehicle, the coefficients in the parameter change trend characterization function are corrected according to the road information. For example, if the road information shows that the slope and turning curvature of the driving road increase, and the number of vehicles and obstacles also increases, then the coefficients in the parameter change trend characterization function should be reduced.

[0028] Furthermore, based on the operating parameters of the target vehicle at multiple moments before the current moment, the operating parameters of the target vehicle at the current moment are predicted, including: taking the moment as the independent variable, taking the operating parameters as the dependent variable, fitting the multiple moments before the current moment and the operating parameters corresponding to each moment, and obtaining a parameter change trend characterization function; using the parameter change trend characterization function to predict the operating parameters of the target vehicle at the current moment.

[0029] The parameter change trend characterization function takes the time as the independent variable and the operating parameters as the dependent variable, and expresses the corresponding relationship between the time and the operating parameters. Because the change of the vehicle's operating parameters is continuous, the operating parameters at a time are related to the operating parameters before the time, and the operating parameters at the time will also affect the operating parameters after the time, so multiple moments within a period of time and the operating parameters corresponding to each moment can be fitted into the parameter change trend characterization function. Based on the current moment, the operating parameters of the target vehicle at the current moment can be solved using the parameter change trend characterization function. The solved operating parameters of the target vehicle at the current moment are not completely accurate, so solving the operating parameters of the target vehicle at the current moment can be regarded as predicted.

[0030] Because the operating parameters will change continuously with time, and this change is a trend, the parameter change trend characterization function is used to represent this trend (there is no causal relationship between the operating parameters and the time. It is not the change in the time that causes the change in the operating parameters, but the change in the operating parameters shows a certain trend with the change in time. This relationship can be found in different time dimensions). For example, the vehicle speeds at time 1, 2, 3, and 4 are 30, 35, 45, and 60 respectively, and the vehicle speed at time 7 may be around 80. Regardless of whether the operating parameters are only affected by time or by other parameters, the trend of the operating parameters changing with time is unchanged. Even if the vehicle changes dramatically, the operating parameters will show a certain trend in a smaller time dimension. For example, if the vehicle decelerates urgently, the change in speed will also show a certain trend within 0.1 seconds.

[0031] Figure 2 is a flow chart of a method for calculating the power required by a target vehicle provided in an embodiment of the present application, such as Figure 2 As shown, including:

[0032] Operating parameters: battery power, vehicle speed, vehicle acceleration and steering wheel rotation angle;

[0033] S201, determining the charging power required by the battery of the target vehicle according to the battery power;

[0034] S202, calculating a first traction force required to maintain the target vehicle traveling at a constant speed based on the vehicle weight of the target vehicle and the friction coefficient between the target vehicle and the ground, and calculating a uniform speed power required to maintain the target vehicle traveling at a constant speed based on the first traction force and the vehicle speed;

[0035] S203, calculating a second traction force required for acceleration of the target vehicle based on the vehicle weight of the target vehicle and the vehicle acceleration, and calculating an acceleration power required for acceleration of the target vehicle based on the second traction force and the vehicle acceleration;

[0036] S204, calculating the lateral traction power required for the target vehicle to turn based on the vehicle speed and the steering wheel rotation angle;

[0037] S205, calculating the power required by the target vehicle at the next moment from the current moment based on the uniform speed power, the acceleration power and the lateral traction power.

[0038] The relationship between battery power and charging power is set, and different battery powers correspond to different charging powers.

[0039] Uniform power is the power required to maintain the target vehicle at a uniform speed. To calculate the uniform power, you can first calculate the traction required for the target vehicle to travel at a uniform speed, and then determine the uniform power based on the traction. The traction required for the target vehicle to travel at a uniform speed is equal in magnitude to the friction required to maintain the current driving state of the target vehicle (the traction and friction are in opposite directions). Therefore, the traction is equal to the product of the target vehicle's gravity perpendicular to the ground and the friction coefficient (if it is a flat road, it is directly the product of the target vehicle's gravity and the friction coefficient. If it is an uphill or downhill road, it is necessary to calculate the target vehicle's gravity perpendicular to the ground. This is common physical knowledge and will not be elaborated on). The friction coefficient is determined by the road adhesion coefficient. The product of the traction and the vehicle speed is taken as the uniform power.

[0040] Acceleration power is the power required for the target vehicle to accelerate. To calculate the acceleration power, you can first calculate the traction required for the target vehicle to accelerate (the traction is equal to the product of the component of the target vehicle's gravity perpendicular to the ground and the vehicle's acceleration), and then integrate the traction with the vehicle's acceleration as the acceleration power.

[0041] The lateral traction power is the power required for the target vehicle to turn. To calculate the lateral traction power, the traction force required for the target vehicle to turn can be calculated first, and then the traction force is multiplied by the turning distance of the target vehicle, and then divided by the time required for the target vehicle to turn to obtain the lateral traction power. The turning speed of the target vehicle is equal to the turning distance of the target vehicle divided by the time required for the target vehicle to turn.

[0042] Specifically, the traction required for the target vehicle to turn is calculated: the turning radius r of the target vehicle is calculated based on the steering wheel rotation angle by the following formula: r = d / (2 * tan(θ / 2)), where d is the distance between the wheel axles, and θ is the steering wheel rotation angle; the traction F is calculated by the following formula: F = m × v × r, where m is the mass corresponding to the gravity of the target vehicle (the gravity of the target vehicle divided by the acceleration of gravity is equal to the mass of the target vehicle), and v represents the vehicle speed.

[0043] Furthermore, controlling the range extender of the target vehicle based on the power required by the target vehicle at the next moment after the current moment includes: acquiring a characteristic curve of the range extender of the target vehicle; determining the speed and torque of the range extender at the next moment after the current moment through the characteristic curve based on the power required by the target vehicle at the next moment after the current moment; and controlling the range extender based on the speed and torque of the range extender at the next moment after the current moment.

[0044] The characteristic curve of the range extender is the relationship between power, speed and torque, so the speed and torque of the range extender at the next moment can be determined by using the characteristic curve.

[0045] In some embodiments, before starting the range extender of the target vehicle: when it is detected that the operating parameters of the target vehicle are lost at the current moment, the operating parameters of the target vehicle at multiple moments before the current moment are obtained; based on the operating parameters of the target vehicle at multiple moments before the current moment, the battery power of the target vehicle at the current moment is predicted; based on the predicted battery power of the target vehicle at the current moment, it is determined whether to start the range extender of the target vehicle at the next moment after the current moment.

[0046] The power consumed by the target vehicle is calculated based on the operating parameters of the target vehicle at multiple times before the current moment, and the power consumed by the target vehicle is subtracted from the total battery power of the target vehicle to obtain the predicted battery power of the target vehicle at the current moment. When the battery power is less than the threshold, the range extender of the target vehicle is started, otherwise the range extender of the target vehicle is not started.

[0047] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present application, which will not be described one by one here.

[0048] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0049] Figure 3 Schematic diagram of a control device for a range extender at a corresponding time when a vehicle operating parameter is lost, provided in an embodiment of the present application. Figure 3 As shown, the control device of the range extender at the corresponding moment after the vehicle operating parameters are lost includes:

[0050] The acquisition module 301 is configured to acquire the operating parameters of the target vehicle at multiple moments before the current moment when it is detected that the operating parameters of the target vehicle are lost at the current moment;

[0051] The prediction module 302 is configured to predict the operating parameters of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment;

[0052] The calculation module 303 is configured to predict the power required by the target vehicle at the next moment of the current moment according to the predicted operating parameters of the target vehicle at the current moment;

[0053] The control module 304 is configured to control the range extender of the target vehicle according to the power required by the target vehicle at the next moment predicted from the current moment.

[0054] According to the technical solution provided by the embodiment of the present application, when it is detected that the operating parameters of the target vehicle are lost at the current moment, the operating parameters of the target vehicle at multiple moments before the current moment are obtained; based on the operating parameters of the target vehicle at multiple moments before the current moment, the operating parameters of the target vehicle at the current moment are predicted; based on the predicted operating parameters of the target vehicle at the current moment, the power required by the target vehicle at the next moment from the current moment is predicted; based on the predicted power required by the target vehicle at the next moment from the current moment, the range extender of the target vehicle is controlled. The above technical means can solve the problem in the prior art that the range extender cannot be controlled after the vehicle operating parameters are lost, and then the range extender can still be controlled after the vehicle operating parameters are lost, thereby ensuring the safety of users' vehicles and improving user satisfaction.

[0055] In some embodiments, the prediction module 302 is also configured to use the time as the independent variable and the operating parameters as the dependent variable, fit multiple moments before the current moment and the operating parameters corresponding to each moment, and obtain a parameter change trend characterization function; use the parameter change trend characterization function to predict the operating parameters of the target vehicle at the current moment.

[0056] In some embodiments, the prediction module 302 is further configured to obtain road information of the target vehicle's driving road, wherein the road information includes: the type of the driving road and the distribution of vehicles and obstacles on the driving road; and predict the operating parameters of the target vehicle at the current moment based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment.

[0057] In some embodiments, the prediction module 302 is further configured to determine a changing trend of the operating parameters of the target vehicle based on the road information, wherein the changing trend is to increase or decrease the value of the operating parameters of the target vehicle at the current moment; determine a correction value of the operating parameters of the target vehicle based on the difference between the operating parameters of the target vehicle at multiple moments before the current moment; and determine the operating parameters of the target vehicle at the current moment based on the changing trend, the correction value and the operating parameters of the target vehicle at the moment before the current moment.

[0058] In some embodiments, the prediction module 302 is further configured to obtain a parameter change trend characterization function by fitting multiple operating parameters according to the moments of multiple operating parameters; determine the slope, turning curvature, number of vehicles and number of obstacles of the driving road according to the road information; correct the coefficient in the parameter change trend characterization function according to the slope, the turning curvature, the number of vehicles and the number of obstacles, wherein the greater the slope, the smaller the coefficient in the parameter change trend characterization function, the greater the turning curvature, the smaller the coefficient in the parameter change trend characterization function, the more the number of vehicles, the smaller the coefficient in the parameter change trend characterization function, and the more the number of obstacles, the smaller the coefficient in the parameter change trend characterization function; and use the corrected parameter change trend characterization function to predict the operating parameters of the target vehicle at the current moment.

[0059] In some embodiments, the calculation module 303 is also configured to determine the charging power required for the battery of the target vehicle based on the battery power; calculate the uniform speed power required to maintain the target vehicle's uniform speed based on the vehicle weight; calculate the acceleration power required to accelerate the target vehicle based on the vehicle weight and vehicle acceleration; calculate the lateral traction power required for the target vehicle to turn based on the vehicle speed and the steering wheel rotation angle; calculate the power required for the target vehicle at the next moment from the current moment based on the uniform speed power, acceleration power and lateral traction power.

[0060] In some embodiments, the control module 304 is further configured to obtain a characteristic curve of the range extender of the target vehicle; determine the speed and torque of the range extender at the next moment from the current moment through the characteristic curve based on the predicted power required by the target vehicle at the next moment from the current moment; and control the range extender based on the speed and torque of the range extender at the next moment from the current moment.

[0061] In some embodiments, the prediction module 302 is also configured to obtain the operating parameters of the target vehicle at multiple moments before the current moment when it is detected that the operating parameters of the target vehicle are lost at the current moment; predict the battery power of the target vehicle at the current moment based on the operating parameters of the target vehicle at multiple moments before the current moment; and determine whether to start the range extender of the target vehicle at the next moment after the current moment based on the predicted battery power of the target vehicle at the current moment.

[0062] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0063] Figure 4 Schematic diagram of an electronic device 4 provided in an embodiment of the present disclosure. Figure 4As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0064] The electronic device 4 may include but is not limited to a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 The electronic device 4 is merely an example and does not limit the electronic device 4 , and may include more or less components than those shown in the figure, or different components.

[0065] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0066] The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. The memory 402 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0067] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0068] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, which may be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0069] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A control method for a range extender at a corresponding time after a vehicle operating parameter is lost, characterized in that: include: When it is detected that the operating parameters of the target vehicle are lost at the current moment, obtaining the operating parameters of the target vehicle at multiple moments before the current moment; Predicting the operating parameters of the target vehicle at a current moment based on the operating parameters of the target vehicle at a plurality of moments before the current moment; Predicting the power required by the target vehicle at the next moment after the current moment based on the predicted operating parameters of the target vehicle at the current moment; Controlling the range extender of the target vehicle according to the predicted power required by the target vehicle at the next moment of the current moment; Wherein, predicting the operating parameters of the target vehicle at the current moment according to the operating parameters of the target vehicle at multiple moments before the current moment includes: Acquire road information of the target vehicle's driving road, wherein the road information includes: the type of the driving road and the distribution of vehicles and obstacles on the driving road; The operating parameters of the target vehicle at the current moment are predicted based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment.

2. The method according to claim 1, characterized in that Predicting the operating parameters of the target vehicle at the current moment based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment, including: Determining a change trend of an operating parameter of the target vehicle according to the road information, wherein the change trend is an increase or decrease in a value of the operating parameter of the target vehicle at a current moment; Determining a correction value of the operating parameter of the target vehicle according to a difference between the operating parameters of the target vehicle at a plurality of moments before a current moment; The operating parameters of the target vehicle at the current moment are determined according to the change trend, the correction value and the operating parameters of the target vehicle at a moment before the current moment.

3. The method according to claim 1, characterized in that Predicting the operating parameters of the target vehicle at the current moment based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment, including: According to the moments of the multiple operating parameters, a parameter change trend characterization function is obtained by fitting the multiple operating parameters; Determine the slope, turning angle, number of vehicles and number of obstacles of the driving road according to the road information; Correcting the coefficient in the parameter change trend characterization function according to the slope, the turning curvature, the number of vehicles and the number of obstacles, wherein the greater the slope, the smaller the coefficient in the parameter change trend characterization function, the greater the turning curvature, the smaller the coefficient in the parameter change trend characterization function, the greater the number of vehicles, the smaller the coefficient in the parameter change trend characterization function, and the greater the number of obstacles, the smaller the coefficient in the parameter change trend characterization function; The corrected parameter change trend characterization function is used to predict the operating parameters of the target vehicle at the current moment.

4. The method according to claim 1, characterized in that: Predicting the power required by the target vehicle at the next moment of the current moment based on the predicted operating parameters of the target vehicle at the current moment includes: The operating parameters include: battery power, vehicle speed, vehicle acceleration and steering wheel rotation angle; Determining the charging power required by the battery of the target vehicle according to the battery power; Calculating a first traction force required to maintain the target vehicle traveling at a constant speed based on the vehicle weight of the target vehicle and the friction coefficient between the target vehicle and the ground, and calculating a uniform speed power required to maintain the target vehicle traveling at a constant speed based on the first traction force and the vehicle speed; Calculating a second traction force required for acceleration of the target vehicle based on the vehicle weight of the target vehicle and the vehicle acceleration, and calculating an acceleration power required for acceleration of the target vehicle based on the second traction force and the vehicle acceleration; Calculating a turning radius of the target vehicle based on the steering wheel rotation angle, calculating a lateral traction force required for turning the target vehicle based on the turning radius, the vehicle weight and the vehicle speed, and calculating a lateral traction power based on the lateral traction force and the turning speed of the target vehicle; The power required by the target vehicle at the next moment from the current moment is calculated based on the uniform speed power, the acceleration power and the lateral traction power.

5. The method according to claim 1, characterized in that Controlling a range extender of the target vehicle according to the predicted power required by the target vehicle at the next moment of the current moment, comprising: Obtaining a characteristic curve of a range extender of the target vehicle; According to the predicted power required by the target vehicle at the next moment after the current moment, the speed and torque of the range extender at the next moment after the current moment are determined by the characteristic curve; The range extender is controlled according to the rotation speed and torque of the range extender at the next moment from the current moment.

6. The method according to claim 1, characterized in that The method further comprises: Before starting the range extender of the target vehicle: in the case where it is detected that the operating parameters of the target vehicle are lost at the current moment, obtaining the operating parameters of the target vehicle at multiple moments before the current moment; Predicting the battery power of the target vehicle at a current moment based on the operating parameters of the target vehicle at multiple moments before the current moment; Whether to start the range extender of the target vehicle at a moment next to the current moment is determined according to the predicted battery power of the target vehicle at the current moment.

7. A control device for a range extender at a corresponding time after a vehicle operating parameter is lost, characterized in that: include: An acquisition module, configured to acquire the operating parameters of the target vehicle at multiple moments before the current moment when it is detected that the operating parameters of the target vehicle are lost at the current moment; A prediction module, configured to predict the operating parameters of the target vehicle at a current moment based on the operating parameters of the target vehicle at a plurality of moments before the current moment; A calculation module is configured to predict the power required by the target vehicle at a next moment of the current moment according to the predicted operating parameters of the target vehicle at the current moment; A control module configured to control a range extender of the target vehicle according to a predicted power required by the target vehicle at a next moment from the current moment; The prediction module is specifically configured to: obtain road information of the target vehicle's driving road, wherein the road information includes: the type of the driving road and the distribution of vehicles and obstacles on the driving road; and predict the operating parameters of the target vehicle at the current moment based on the road information and the operating parameters of the target vehicle at multiple moments before the current moment.

8. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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