Power simulation method, device and equipment for multi-configuration vehicle

Abstract

The invention provides a power simulation method, device and equipment for a multi-configuration vehicle, relates to the technical field of big data processing, and aims to solve the problems that repeated operation is often needed in a modeling simulation process, subsequent data processing is tedious and simulation efficiency is affected due to the fact that no unified model for vehicles of different configurations exists in the prior art. The method comprises the following steps: determining a power type of a to-be-simulated vehicle; matching a strategy for the to-be-simulated vehicle based on the power type; and simulating the to-be-simulated vehicle according to the strategy to obtain a simulation result of the to-be-simulated vehicle.

Description

Technical Field

[0001] The present application relates to the field of automobile simulation technology, and in particular to a method, device and equipment for simulating the power of a multi-configuration vehicle. Background Art

[0002] With the rapid development of new energy vehicles, the physical structure of vehicles has undergone tremendous changes. Currently, vehicles are divided into traditional vehicles and new energy vehicles.

[0003] For vehicles of different configurations, it is often necessary to build vehicle models of different configurations. In the process of modeling, it is necessary to repeatedly build the same model, such as vehicle model, road model, tire model, etc. If the above models are modified, all models need to be modified synchronously. In the optimization process, the optimization parameters need to be changed synchronously in models of different configurations. In the post-processing process, the model results of different configurations need to be processed, and the data processing is cumbersome.

[0004] Therefore, it is necessary to provide a dynamic simulation method for multi-configuration vehicles to solve the above problems. Summary of the invention

[0005] In order to solve the above technical problems, the present application provides a power simulation method, device and equipment for multi-configuration vehicles to solve the problem that there is no unified model for vehicles of different configurations in the prior art, which often requires repeated operations during the modeling and simulation process, and the subsequent data processing is cumbersome, affecting the simulation efficiency.

[0006] To achieve the above technical objectives, this application provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present specification provides a power simulation method for a multi-configuration vehicle, comprising:

[0008] Determine the power type of the vehicle to be simulated;

[0009] Matching strategies for the vehicle to be simulated based on the power type;

[0010] The vehicle to be simulated is simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

[0011] In one implementation, determining the power type of the vehicle to be simulated includes:

[0012] In response to the user's selection, the power type of the vehicle to be simulated is determined, and the power types include: traditional fuel power type, pure electric power type, non-range-extended hybrid power type and range-extended hybrid power type.

[0013] In one embodiment, matching a strategy for a vehicle to be simulated based on the power type includes:

[0014] When the power type is a traditional fuel power type, a gearbox shifting strategy, an engine control strategy, and a vehicle braking control strategy are matched for the vehicle to be simulated;

[0015] When the power type is pure electric power type, the vehicle pure electric operation strategy, motor control strategy, battery control strategy and brake energy recovery strategy are matched for the vehicle to be simulated;

[0016] When the power type is a non-range extended hybrid type, a first vehicle operation mode selection strategy, a motor control strategy, a battery control strategy, an engine control strategy, a brake energy recovery strategy and a transmission control strategy are matched for the vehicle to be simulated, wherein the first vehicle operation mode selection strategy includes a pure electric mode, a series mode, a parallel mode and an engine direct drive mode;

[0017] When the power type is an extended-range hybrid type, the second vehicle operating mode selection strategy, motor control strategy, battery control strategy, engine control strategy, brake energy recovery strategy and transmission control strategy are matched for the vehicle to be simulated, wherein the second vehicle operating mode selection strategy includes a pure electric mode and a series mode.

[0018] In one embodiment, simulating a vehicle to be simulated according to a strategy to obtain a simulation result of the vehicle to be simulated includes:

[0019] Determine the model parameters of the vehicle to be simulated according to the strategy, the model parameters include vehicle mass, air resistance coefficient, vehicle frontal area, tire rolling radius, tire rolling resistance coefficient, vehicle center of mass position and road slope;

[0020] Simulating the vehicle to be simulated based on the model parameters and the strategy, and determining the state parameters of the vehicle to be simulated;

[0021] The simulation result of the vehicle to be simulated is determined according to the state parameters.

[0022] In one embodiment, after determining the model parameters of the vehicle to be simulated according to the strategy, the method further includes:

[0023] Modify model parameters according to simulation requirements.

[0024] In one embodiment, the method further comprises:

[0025] Modifying the power type of the vehicle to be simulated, and simulating the modified vehicle to be simulated;

[0026] Compare the simulation results of the vehicle to be simulated with the simulation results of the modified vehicle to be simulated.

[0027] In a second aspect, the embodiments of the present specification provide a power simulation device for a multi-configuration vehicle, comprising:

[0028] A determination unit, used to determine the power type of the vehicle to be simulated;

[0029] A matching unit, configured to match a strategy for the vehicle to be simulated based on the power type;

[0030] The processing unit is used to simulate the vehicle to be simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

[0031] In one implementation, the acquisition unit is specifically configured to:

[0032] In response to the user's selection, the power type of the vehicle to be simulated is determined, and the power types include: traditional fuel power type, pure electric power type, non-range-extended hybrid power type and range-extended hybrid power type.

[0033] In one embodiment, the matching unit is specifically used for:

[0034] When the power type is a traditional fuel power type, a gearbox shifting strategy, an engine control strategy, and a vehicle braking control strategy are matched for the vehicle to be simulated;

[0035] When the power type is pure electric power type, the vehicle pure electric operation strategy, motor control strategy, battery control strategy and brake energy recovery strategy are matched for the vehicle to be simulated;

[0036] When the power type is a non-range extended hybrid type, a first vehicle operation mode selection strategy, a motor control strategy, a battery control strategy, an engine control strategy, a brake energy recovery strategy and a transmission control strategy are matched for the vehicle to be simulated, wherein the first vehicle operation mode selection strategy includes a pure electric mode, a series mode, a parallel mode and an engine direct drive mode;

[0037] When the power type is an extended-range hybrid type, the second vehicle operating mode selection strategy, motor control strategy, battery control strategy, engine control strategy, brake energy recovery strategy and transmission control strategy are matched for the vehicle to be simulated, wherein the second vehicle operating mode selection strategy includes a pure electric mode and a series mode.

[0038] In one embodiment, the processing unit is specifically configured to:

[0039] Determine the model parameters of the vehicle to be simulated according to the strategy, the model parameters include vehicle mass, air resistance coefficient, vehicle frontal area, tire rolling radius, tire rolling resistance coefficient, vehicle center of mass position and road slope;

[0040] Simulating the vehicle to be simulated based on the model parameters and the strategy, and determining the state parameters of the vehicle to be simulated;

[0041] The simulation result of the vehicle to be simulated is determined according to the state parameters.

[0042] In one embodiment, the processing unit is further configured to:

[0043] Modify model parameters according to simulation requirements.

[0044] In one embodiment, the processing unit is further configured to:

[0045] Modifying the power type of the vehicle to be simulated, and simulating the modified vehicle to be simulated;

[0046] Compare the simulation results of the vehicle to be simulated with the simulation results of the modified vehicle to be simulated.

[0047] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for dynamic simulation of a multi-configuration vehicle of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0048] In a fourth aspect, an embodiment of the present specification provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for simulating the power of a multi-configuration vehicle as described in any one of the above items is implemented.

[0049] In a fifth aspect, an embodiment of the present specification provides a computer program product or a computer program, wherein the computer program product includes a computer program, and the computer program is stored in a computer-readable storage medium; the processor of the computer device reads the computer program from the computer-readable storage medium, and when the processor executes the computer program, the power simulation method of a multi-configuration vehicle as described in any one of the above items is implemented.

[0050] It can be seen from the above technical solution that the present application provides a method, device and equipment for power simulation of multi-configuration vehicles. The method first determines the power type of the vehicle to be simulated, then matches the strategy for the vehicle to be simulated based on the power type, and finally simulates the vehicle to be simulated according to the strategy to obtain the simulation result of the vehicle to be simulated. Vehicles of different power types can be selected for unified simulation, and corresponding strategies can be matched for vehicles of different power types, so that all vehicle configurations are integrated into one model. The model can reuse the same model to reduce the number of constructed models. At the same time, when parameters need to be adjusted, there is no need to adjust multiple models one by one, which simplifies the simulation operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the present application or the prior art, 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 merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0052] Figure 1 A schematic flow chart of a power simulation method for a multi-configuration vehicle provided for an embodiment of this specification;

[0053] Figure 2 A schematic diagram of a specific flow chart of a power simulation method for a multi-configuration vehicle provided in an embodiment of this specification;

[0054] Figure 3 A schematic diagram of the structure of a power simulation device for a multi-configuration vehicle provided in an embodiment of this specification;

[0055] Figure 4 A schematic diagram of the structure of an electronic device provided for an implementation of this specification. DETAILED DESCRIPTION

[0056] Unless otherwise defined, the technical terms or scientific terms used in the embodiments of this specification shall have the common meanings understood by persons skilled in the field to which this specification belongs. The words "first", "second" and similar words used in the embodiments of this specification do not indicate any order, quantity or importance, but are only used to avoid confusion of constituent elements.

[0057] Unless the context requires otherwise, throughout the specification, "plurality" means "at least two", and "including" is interpreted as an open, inclusive meaning, that is, "including, but not limited to". In the description of the specification, the terms "one embodiment", "some embodiments", "exemplary embodiments", "examples", "specific examples" or "some examples" are intended to indicate that a particular feature, structure, material or characteristic associated with the embodiment or example is included in at least one embodiment or example of the specification. The schematic representation of the above terms does not necessarily refer to the same embodiment or example.

[0058] The following will be combined with the drawings in the embodiments of this specification to clearly and completely describe the technical solutions in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this specification.

[0059] Overview

[0060] As mentioned in the background technology, with the rapid development of new energy vehicles, the physical architecture of vehicles has undergone tremendous changes. At present, vehicles are divided into traditional vehicles and new energy vehicles. Traditional vehicles refer to vehicles with only one power system and the powertrain is composed of an engine and a transmission. During the operation of the vehicle, only the engine provides driving force. New energy vehicles are divided into hybrid vehicles and battery-electric vehicles (BEV) according to whether they have an engine. Battery-electric vehicles (BEV) refer to vehicles whose energy needs are completely derived from batteries and are driven by motors. Hybrid vehicles generally refer to vehicles with two drive systems, that is, they have both engine and electric drive systems. Depending on whether the engine participates in the drive, hybrid vehicles are divided into extended-range vehicles (REV) and non-extended-range vehicles. Extended-range vehicles refer to vehicles in which the engine does not participate in the vehicle drive and provides electrical energy to the motor and battery through a generator. Non-extended-range vehicles refer to vehicles in which the engine can participate in the vehicle drive at an appropriate time, or even directly drive the vehicle. Non-extended-range vehicles are divided into hybrid electric vehicles (HEV) and plug-in hybrid electric vehicles (PHEV) based on whether they have a charging function. Hybrid electric vehicles (HEV) and plug-in hybrid electric vehicles (PHEV) are further subdivided into multiple architectures due to the location of the drive motor.

[0061] The popularity of new energy sources has led to the diversification of the configuration of vehicle power systems. In the process of vehicle development, the main tasks of the vehicle's dynamic and economic simulation are to determine the vehicle configuration, predict the vehicle's energy consumption target and determine the path to achieve it, predict the vehicle's acceleration performance, and optimize the vehicle control strategy. For vehicles with different configurations, it is often necessary to build vehicle models of different configurations. In the process of modeling, it is necessary to repeatedly build the same model, such as vehicle model, road model, tire model, etc. If the above models are modified, all models need to be modified synchronously. In the optimization process, the optimization parameters need to be changed synchronously in models of different configurations. In the post-processing process, the model results of different configurations need to be processed, and the data processing is cumbersome.

[0062] Therefore, it is necessary to provide a dynamic simulation method for multi-configuration vehicles to avoid the above problems.

[0063] In order to solve the problem that there is no unified model for vehicles of different configurations in the prior art, which often requires repeated operations during the modeling and simulation process, and the subsequent data processing is cumbersome, affecting the simulation efficiency, in the technical solution of the present application, the power type of the vehicle to be simulated is first determined, and then the strategy is matched for the vehicle to be simulated based on the power type, and finally the vehicle to be simulated is simulated according to the strategy to obtain the simulation result of the vehicle to be simulated. Vehicles of different power types can be selected for unified simulation, and corresponding strategies can be matched for vehicles of different power types, so that all vehicle configurations are integrated into one model. The model can reuse the same model to reduce the number of constructed models. At the same time, when parameters need to be adjusted, there is no need to adjust multiple models one by one, simplifying the simulation operation.

[0064] Based on the above inventive concept, the power simulation method for a multi-configuration vehicle provided in the embodiment of this specification is exemplarily described below.

[0065] Exemplary Methods

[0066] The embodiments of this specification provide a method for simulating the power of a multi-configuration vehicle, such as Figure 1 As shown, including:

[0067] S101, determining the power type of the vehicle to be simulated.

[0068] In specific implementation, in response to the user's selection, the power type of the vehicle that the user wants to simulate is determined. The power type is divided into two categories, the traditional fuel power type and the new energy power type. The new energy power type can be further divided into the pure electric power type, the non-extended range hybrid power type and the extended range hybrid power type. Of course, other types of new energy forms can be added later, and the embodiment of the present invention does not limit this.

[0069] S102: Matching strategies for the vehicle to be simulated based on the power type.

[0070] In the specific implementation, for vehicles with different power types, corresponding strategies are selected. Specifically, when the power type is a traditional fuel power type, the transmission shifting strategy, engine control strategy, and vehicle braking control strategy are matched for the vehicle to be simulated.

[0071] Specifically, for traditional fuel power types, select driving control model, control strategy model, low-voltage load model, post-processing model, engine model, gearbox model, and vehicle model. Select the engine control strategy, that is, the engine direct drive mode. Since traditional fuel vehicles do not contain motors, the output power of the motor is set to 0 and the efficiency is set to 1. It neither provides power nor generates resistance loss. The vehicle braking control strategy is mechanical braking.

[0072] When the power type is pure electric power type, the vehicle pure electric operation strategy, motor control strategy, battery control strategy and brake energy recovery strategy are matched for the vehicle to be simulated.

[0073] Specifically, select the driving control model, control strategy model, low-voltage load model, post-processing model, vehicle model, battery model, select the P0-P4 motor model based on the motor position, and select the pure electric operation strategy for the control strategy. Set the gearbox based on the actual state of the pure electric vehicle. When there is no gearbox, the gear position is set to 1 and the efficiency is set to 1. When there is a gearbox, the gear position is set according to the number of gear positions, and the efficiency is set according to the efficiency of different gear positions. The engine is set to an inoperative state, and the vehicle braking mainly uses motor braking, and the braking energy is recovered to the battery. If the braking energy exceeds the motor braking energy requirement, mechanical braking is used for assistance.

[0074] When the power type is a non-extended-range hybrid type, the first vehicle operating mode selection strategy, motor control strategy, battery control strategy, engine control strategy, brake energy recovery strategy and transmission control strategy are matched for the vehicle to be simulated. The first vehicle operating mode selection strategy includes pure electric mode, series mode, parallel mode and engine direct drive mode.

[0075] When the power type is a non-range extended hybrid type, including hybrid vehicles and plug-in hybrid vehicles, the driving control model, control strategy model, low-voltage load model, post-processing model, engine model, gearbox model, vehicle model, battery model, and P0-P4 motor model are selected based on the motor position. The control strategy selects the first vehicle operation mode selection strategy, which includes pure electric mode, series mode, parallel mode and engine direct drive mode, and switches between the four modes according to actual working conditions. The gearbox is set according to the actual vehicle state. In the case of a single-speed gearbox, the gearbox is set to 1st gear, and the efficiency is set to the test efficiency under this gear. In the case of a multi-speed gearbox, the gear is set according to the number of gears in the gearbox, and the test efficiency under this gear is matched. When the motor is a P2 motor, the shift strategy is adjusted according to different strategies based on engine drive and motor drive. The engine selects the operating point according to the vehicle mode. The engine does not work in pure electric mode. In series mode, the engine works according to the vehicle's power generation needs. In parallel mode, the engine provides most of the torque required by the vehicle or torque greater than that required by the vehicle according to the parallel strategy, and the motor supplements or uses excess torque to generate electricity. In direct drive mode, the engine provides all the torque required by the vehicle, the speed is determined by the vehicle and the gearbox ratio, and no charging is provided. The vehicle is mainly braked by the motor, and the braking energy is recovered to the battery. If the braking energy exceeds the motor braking energy requirement, mechanical braking is used for assistance.

[0076] When the power type is an extended-range hybrid type, the second vehicle operating mode selection strategy, motor control strategy, battery control strategy, engine control strategy, brake energy recovery strategy and transmission control strategy are matched for the vehicle to be simulated. The second vehicle operating mode selection strategy includes a pure electric mode and a series mode.

[0077] Specifically, select the driving control model, control strategy model, low-voltage load model, post-processing model, engine model, vehicle model, battery model, and select the P0-P4 motor model based on the motor position. The control strategy selects the second vehicle operation mode selection strategy, which includes pure electric mode and series mode, and switches between the two modes according to actual working conditions. The gearbox clutch is set to the disconnected state, the gearbox gear is set to 1st gear, the gearbox efficiency is set to 1, and the gearbox neither transmits torque nor generates losses. The point where the engine works is obtained on the engine's economic curve, and power is generated according to the battery charging requirements. The engine speed and torque are determined by the charging requirements. Vehicle braking mainly uses motor braking, and the braking energy is recovered to the battery. If the braking energy exceeds the motor braking energy requirement, mechanical braking is used for assistance.

[0078] It should be noted that the P0-P4 motors in new energy vehicles refer to different classifications based on the position and function of the motor in the power system. These classifications correspond to different types of motor drive methods. The following is a brief description of each level of motor:

[0079] The P0 motor usually refers to the motor installed between the internal combustion engine (ICE) and the transmission. Its main function is to assist the work of the internal combustion engine and is commonly seen in mild hybrid systems. The P0 motor cannot drive the vehicle alone, but works with the internal combustion engine, mainly used for start-stop, low-speed driving to provide power, energy recovery, etc.

[0080] The P1 motor is usually installed at the front end of the engine or between the internal combustion engine and the transmission system, and is mainly used to provide auxiliary power. It can realize functions such as engine start and stop, energy recovery, etc. The P1 motor is usually not directly involved in the drive of the vehicle, but it can directly affect the efficiency and performance of the engine. It may be used for low-speed drive of the hybrid system, or the start-stop system.

[0081] The P2 motor is usually directly connected to the transmission. It is mainly responsible for driving the wheels and can provide more independent power. The P2 motor can drive the vehicle alone when the internal combustion engine is turned off, which is common in more advanced hybrid or plug-in hybrid (PHEV) systems.

[0082] The P3 motor is usually located at the rear drive shaft of the vehicle and is mainly used to provide rear drive force. When the P3 motor works in a full electric or plug-in hybrid system, it can provide power support for the rear drive and is usually used with the P2 motor to achieve four-wheel drive.

[0083] The P4 motor is usually an independent electric drive unit that can be used for pure electric drive and is installed on the rear drive shaft or the rear of the vehicle. The P4 motor usually works with the P2 motor to provide additional electric drive capabilities in a complex hybrid system. It is the most flexible motor and is commonly used in new energy vehicles with four-wheel drive.

[0084] S103, simulating the vehicle to be simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

[0085] In specific implementation, the model parameters of the vehicle to be simulated are determined according to the strategy. The model parameters include the vehicle mass, air resistance coefficient, frontal area of ​​the vehicle, tire rolling radius, tire rolling resistance coefficient, vehicle center of mass position and road slope. Then, the vehicle to be simulated is simulated based on the model parameters and the strategy to determine the state parameters of the vehicle to be simulated, and then the simulation result of the vehicle to be simulated is determined.

[0086] Specifically, the vehicle driving resistance can be calculated based on the model parameters:

[0087] First, calculate the rolling resistance, air resistance, slope resistance and acceleration resistance, where:

[0088] Rolling resistance: F f =mgfcosα G

[0089] F f is the rolling resistance of the car; m is the mass of the car; f is the rolling resistance coefficient; α G is the slope angle.

[0090] Air resistance:

[0091] F w is the air resistance of the car; C D is the air resistance coefficient; A is the frontal area of ​​the car; u is the speed of the car.

[0092] Slope resistance: F i =mgsinα G

[0093] F i is the slope resistance of the car.

[0094] Acceleration resistance: F j =δma j

[0095] F j is the acceleration resistance of the car, δ is the conversion coefficient of the car's rotational mass; a j The car's acceleration.

[0096] The driving force required by the car during driving is:

[0097] F t =F f +F w +F i +F j

[0098] The driving force of a car is obtained by transmitting the torque of the engine or motor to the drive wheels through the transmission system. The relationship between the driving force of a car and the torque of the engine or motor is:

[0099]

[0100] In the formula, F t For the driving force of the car; T tq is the engine or motor torque; i t is the total transmission ratio of the transmission system; η t is the transmission system efficiency; R is the wheel rolling radius.

[0101] The relationship between the vehicle speed u and the engine or motor speed n is:

[0102]

[0103] The vehicle model can be used to calculate the driving force required for the vehicle to operate, the torque and speed that the engine or motor needs to output.

[0104] The driving model is based on PID control, which obtains the position of the engine accelerator pedal, the drive motor accelerator pedal, and the brake pedal to control the engine, motor, and brake to control the vehicle speed.

[0105] The engine model includes the basic parameters of the engine, such as the engine displacement, universal characteristics, external characteristics, and friction work data. The engine accelerator pedal position, engine required torque, and engine required speed are obtained from the vehicle model and driving control model. Based on the engine speed and torque, the engine fuel consumption, engine output power, friction loss, etc. can be obtained through the engine universal characteristics data and friction work data.

[0106] The gearbox model includes data such as the type, gear, speed ratio, and efficiency of the gearbox. The vehicle model can be used to obtain the output speed and torque of the gearbox, and the gear shift strategy in the control strategy model can be used to obtain the gearbox gear ratio. The gearbox model can obtain the gear ratio through the gear. Based on the output torque, speed, and gear, the efficiency of the gearbox can be obtained by querying the gearbox efficiency map. The gearbox model can obtain the gearbox gear, gearbox ratio, and gearbox efficiency.

[0107] The battery model contains data such as battery voltage, internal resistance, and capacity. The discharge power or charging power of the battery can be obtained through the control strategy model. Based on the voltage data and internal resistance data in the battery model, the battery charging or discharging current, battery internal resistance loss, battery SOC, etc. can be obtained.

[0108] The motor model contains data such as the motor's efficiency and external characteristics. The motor's power requirements can be obtained through the control strategy model, and the motor's speed and torque requirements can be obtained through the vehicle model and engine model. By querying the motor's Map, you can obtain the motor's power consumption, motor efficiency, motor speed and torque, etc.

[0109] The control strategy model includes the mode selection logic of vehicle operation, control strategy of engine, gearbox, motor, etc. The control strategy model mainly outputs the gearbox shift strategy, i.e., the gear position of the transmission, the position of the engine accelerator pedal, the power distribution of the drive motor, the power demand of the generator, and the vehicle operation mode.

[0110] In this step, the model parameters can also be modified according to the simulation requirements, so as to adjust the model in real time during the simulation. The power type of the vehicle to be simulated can also be modified and simulated again, and then the simulation results of the vehicle to be simulated can be compared with the simulation results of the modified vehicle to be simulated.

[0111] In one embodiment, the Figure 2 Select the power type, model and corresponding strategy in the way shown.

[0112] In a power simulation method for a multi-configuration vehicle provided in this embodiment, the power type of the vehicle to be simulated is first determined, then a strategy is matched for the vehicle to be simulated based on the power type, and finally the vehicle to be simulated is simulated according to the strategy to obtain a simulation result of the vehicle to be simulated. Vehicles of different power types can be selected for unified simulation, and corresponding strategies can be matched for vehicles of different power types, so that all vehicle configurations are integrated into one model. The model can reuse the same model, reduce the number of constructed models, and when parameters need to be adjusted, there is no need to adjust multiple models one by one, simplifying the simulation operation.

[0113] The embodiment of this specification provides a specific process of a power simulation method for a multi-configuration vehicle, such as Figure 2 As shown, including:

[0114] S201, determining the power type of the vehicle to be simulated.

[0115] When it comes to specific implementation,

[0116] S202: Matching strategies for the vehicle to be simulated based on the power type.

[0117] When it comes to specific implementation,

[0118] S203, simulating the vehicle to be simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

[0119] When it comes to specific implementation,

[0120] Exemplary Devices

[0121] In an exemplary embodiment of the present specification, a power simulation device 300 for a multi-configuration vehicle is also provided. Figure 3 As shown, including:

[0122] A determination unit 301 is used to determine the power type of the vehicle to be simulated;

[0123] A matching unit 302, configured to match a strategy for the vehicle to be simulated based on the power type;

[0124] The processing unit 303 is used to simulate the vehicle to be simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

[0125] In one implementation, the acquiring unit 301 is specifically configured to:

[0126] In response to the user's selection, the power type of the vehicle to be simulated is determined, and the power types include: traditional fuel power type, pure electric power type, non-range-extended hybrid power type and range-extended hybrid power type.

[0127] In one implementation, the matching unit 302 is specifically configured to:

[0128] When the power type is a traditional fuel power type, a gearbox shifting strategy, an engine control strategy, and a vehicle braking control strategy are matched for the vehicle to be simulated;

[0129] When the power type is pure electric power type, the vehicle pure electric operation strategy, motor control strategy, battery control strategy and brake energy recovery strategy are matched for the vehicle to be simulated;

[0130] When the power type is a non-range extended hybrid type, a first vehicle operation mode selection strategy, a motor control strategy, a battery control strategy, an engine control strategy, a brake energy recovery strategy and a transmission control strategy are matched for the vehicle to be simulated, wherein the first vehicle operation mode selection strategy includes a pure electric mode, a series mode, a parallel mode and an engine direct drive mode;

[0131] When the power type is an extended-range hybrid type, the second vehicle operating mode selection strategy, motor control strategy, battery control strategy, engine control strategy, brake energy recovery strategy and transmission control strategy are matched for the vehicle to be simulated, wherein the second vehicle operating mode selection strategy includes a pure electric mode and a series mode.

[0132] In one implementation, the processing unit 303 is specifically configured to:

[0133] Determine the model parameters of the vehicle to be simulated according to the strategy, the model parameters include vehicle mass, air resistance coefficient, vehicle frontal area, tire rolling radius, tire rolling resistance coefficient, vehicle center of mass position and road slope;

[0134] Simulating the vehicle to be simulated based on the model parameters and the strategy, and determining the state parameters of the vehicle to be simulated;

[0135] The simulation result of the vehicle to be simulated is determined according to the state parameters.

[0136] In one implementation, the processing unit 303 is further configured to:

[0137] Modify model parameters according to simulation requirements.

[0138] In one implementation, the processing unit 303 is further configured to:

[0139] Modifying the power type of the vehicle to be simulated, and simulating the modified vehicle to be simulated;

[0140] Compare the simulation results of the vehicle to be simulated with the simulation results of the modified vehicle to be simulated.

[0141] The power simulation device for a multi-configuration vehicle provided in this embodiment belongs to the same application concept as the power simulation method for a multi-configuration vehicle provided in the above embodiments of this application, and can execute the power simulation method for a multi-configuration vehicle provided in any of the above embodiments of this application, and has the corresponding functional modules and beneficial effects of executing the power simulation method for a multi-configuration vehicle. For technical details not fully described in this embodiment, please refer to the specific processing content of the power simulation method for a multi-configuration vehicle provided in the above embodiments of this application, and will not be repeated here.

[0142] Exemplary Devices

[0143] In an exemplary embodiment of the present specification, an electronic device is also provided, such as Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430 and a communications bus 440, wherein the processor 410, the communications interface 420 and the memory 430 communicate with each other via the communications bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the power simulation method of the multi-configuration vehicle, the method including:

[0144] Determine the power type of the vehicle to be simulated;

[0145] Matching strategies for the vehicle to be simulated based on the power type;

[0146] The vehicle to be simulated is simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

[0147] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0148] Exemplary computer program products and storage media

[0149] In addition to the above-mentioned methods and devices, the dynamic simulation method for a multi-configuration vehicle provided in the embodiments of the present specification may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the dynamic simulation method for a multi-configuration vehicle according to various embodiments of the present specification as described in the above-mentioned "Exemplary Method" section of the present specification.

[0150] The computer program product can be written in any combination of one or more programming languages ​​to write program codes for executing the operations of the embodiments of this specification, and the programming languages ​​include object-oriented programming languages, such as Java, C++, etc., and also include conventional procedural programming languages, such as "C" language or similar programming languages.

[0151] In addition, an embodiment of the present specification also provides a computer-readable storage medium on which a computer program is stored, and the computer program is executed by a processor to execute the steps of the dynamic simulation method of a multi-configuration vehicle according to various embodiments of the present specification described in the above "Exemplary Method" section of the present specification.

[0152] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this specification can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0153] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0154] The above-mentioned embodiments only express several implementation methods of this specification, and the descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the solutions provided by the embodiments of this specification. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of this specification, which all belong to the protection scope of this specification. Therefore, the protection scope of the patent of this specification shall be based on the attached claims.

Claims

1. A method for simulating the dynamics of a multi-configuration vehicle, characterized in that: include: Determine the power type of the vehicle to be simulated; Matching a strategy for the vehicle to be simulated based on the power type; The vehicle to be simulated is simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

2. The method according to claim 1, characterized in that: Determining the power type of the vehicle to be simulated includes: In response to the user's selection, the power type of the vehicle to be simulated is determined, and the power type includes: a traditional fuel power type, a pure electric power type, a non-range-extended hybrid power type, and an extended-range hybrid power type.

3. The method according to claim 2, characterized in that The matching strategy for the vehicle to be simulated based on the power type includes: When the power type is a traditional fuel power type, matching a gearbox shifting strategy, an engine control strategy, and a vehicle braking control strategy for the vehicle to be simulated; When the power type is a pure electric power type, matching a vehicle pure electric operation strategy, a motor control strategy, a battery control strategy and a braking energy recovery strategy for the vehicle to be simulated; When the power type is a non-range-extended hybrid type, a first vehicle operation mode selection strategy, a motor control strategy, a battery control strategy, an engine control strategy, a brake energy recovery strategy, and a transmission control strategy are matched for the vehicle to be simulated, wherein the first vehicle operation mode selection strategy includes a pure electric mode, a series mode, a parallel mode, and an engine direct drive mode; When the power type is an extended-range hybrid type, the second vehicle operating mode selection strategy, the motor control strategy, the battery control strategy, the engine control strategy, the brake energy recovery strategy and the transmission control strategy are matched for the vehicle to be simulated, wherein the second vehicle operating mode selection strategy includes a pure electric mode and a series mode.

4. The method according to claim 3, characterized in that The simulating the vehicle to be simulated according to the strategy to obtain a simulation result of the vehicle to be simulated includes: Determining the model parameters of the vehicle to be simulated according to the strategy, the model parameters including vehicle mass, air resistance coefficient, vehicle frontal area, tire rolling radius, tire rolling resistance coefficient, vehicle center of mass position and road slope; Simulating the vehicle to be simulated based on the model parameters and the strategy, and determining state parameters of the vehicle to be simulated; A simulation result of the vehicle to be simulated is determined according to the state parameter.

5. The method according to claim 4, characterized in that After determining the model parameters of the vehicle to be simulated according to the strategy, the method further includes: The model parameters are modified according to the simulation requirements.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Modifying the power type of the vehicle to be simulated, and simulating the modified vehicle to be simulated; The simulation result of the vehicle to be simulated is compared with the simulation result of the modified vehicle to be simulated.

7. A power simulation device for a multi-configuration vehicle, characterized in that: include: A determination unit, used to determine the power type of the vehicle to be simulated; A matching unit, configured to match a strategy for the vehicle to be simulated based on the power type; The processing unit is used to simulate the vehicle to be simulated according to the strategy to obtain a simulation result of the vehicle to be simulated.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the power simulation method for a multi-configuration vehicle according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the power simulation method for a multi-configuration vehicle according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for simulating the dynamics of a multi-configuration vehicle according to any one of claims 1 to 6 is implemented.

Images