Vehicle evaluation data processing method and device, equipment and storage medium
By building the simulation objects of hybrid vehicles and performing simulations under target control parameters, the inaccuracy problem of vehicle performance evaluation under dynamic driving conditions in the prior art is solved, and the precise evaluation of the power performance and economic performance of hybrid vehicles is achieved.
Patent Information
- Application Number
- CN202510470013.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-15
- Publication Date
- 2025-08-15
AI Technical Summary
The existing vehicle performance evaluation methods are difficult to accurately evaluate instantaneous energy consumption and the instantaneous state of the motor and battery system under dynamic driving conditions, which affects the accuracy of the overall evaluation.
Build the simulation object of hybrid vehicles, determine the target control parameters, simulate through complex system modeling and simulation platforms, obtain the target simulation data of hybrid modules, and evaluate the balance of power performance and economic performance based on this data.
It improves the accuracy of vehicle performance evaluation, can output the dynamic working status of each component of the simulation object in real time, provide more accurate power performance and economic performance evaluation, and provides reference for the development of hybrid vehicles.
Smart Images
Figure CN120493484A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data simulation technology, and in particular to a method and device for processing vehicle evaluation data, an electronic device, and a storage medium. Background Art
[0002] The current comprehensive evaluation system for vehicle performance usually covers the evaluation of vehicle power performance and economic performance. However, in the existing evaluation methods for vehicle power performance and economic performance, the total energy consumption or average energy consumption under specific working conditions is generally used as the core evaluation indicator. This evaluation method has obvious limitations. It lacks the ability to accurately evaluate instantaneous energy consumption and it is difficult to accurately characterize the energy change characteristics of the vehicle under dynamic driving conditions. At the same time, the existing technology lacks comprehensiveness in the evaluation of the instantaneous state of the motor and battery system in actual operation. For example, the instantaneous working state of the engine, the instantaneous heat generation of the drive motor and the instantaneous heat generation of the battery cannot be accurately evaluated. The above defects will directly affect the accuracy of the overall evaluation of vehicle performance.
[0003] Therefore, how to evaluate the performance of a vehicle more accurately is a problem that needs to be solved in this field. Summary of the Invention
[0004] The embodiments of the present application provide a method for processing vehicle evaluation data to solve the problem of how to more accurately evaluate the performance of a vehicle.
[0005] Correspondingly, the embodiments of the present application also provide a vehicle evaluation data processing device, an electronic device, and a storage medium to ensure the implementation and application of the above method.
[0006] In order to solve the above problems, the present invention discloses a method for processing vehicle evaluation data, which includes:
[0007] Building a simulation object of a target vehicle, wherein the target vehicle is a hybrid vehicle, and the simulation object includes a hybrid power module;
[0008] Determining target control parameters of the target vehicle, wherein the target control parameters include a test operating condition corresponding to the hybrid electric vehicle;
[0009] simulating the simulation object using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle;
[0010] determining evaluation data of the target vehicle according to target simulation data of the hybrid power module;
[0011] The balance performance between the power performance and the economic performance of the target vehicle is evaluated based on the evaluation data to obtain an evaluation result.
[0012] Optionally, the construction of a simulation object of a target vehicle includes:
[0013] determining a powertrain architecture for describing a powertrain of the target vehicle;
[0014] Building the hybrid power module of the target vehicle according to the power architecture, wherein the hybrid power module includes an engine, a drive motor and a battery;
[0015] The hybrid power module is used to build the simulation object.
[0016] Optionally, the simulation object includes a physical structure module, and the method further includes:
[0017] determining structural parameters according to the target vehicle;
[0018] The physical structure module is initialized using the structural parameters to obtain an initialized simulation object.
[0019] Optionally, the target control parameters further include a target energy recovery threshold corresponding to the target vehicle and an operating point of the engine. The target control parameters are used to simulate the simulation object to obtain target simulation data of the hybrid power module of the target vehicle, including:
[0020] According to the test operating conditions, the target energy recovery threshold and the operating point of the engine, the initialized simulation object is simulated on a complex system modeling and simulation platform to obtain the target simulation data of the hybrid power module of the target vehicle.
[0021] Optionally, determining the evaluation data of the target vehicle according to the target simulation data of the hybrid power module includes:
[0022] Get the target evaluation task;
[0023] According to the target evaluation task, the evaluation data of the target vehicle is calculated using the target simulation data.
[0024] Optionally, the evaluation data includes fuel consumption data, and determining the evaluation data of the target vehicle according to the target simulation data of the hybrid power module includes:
[0025] determining fuel consumption data and mileage data from the target simulation data;
[0026] determining the fuel consumption data according to the fuel consumption data and the mileage data;
[0027] The evaluation data of the target vehicle is obtained according to the fuel consumption data.
[0028] Optionally, the evaluation data includes speed performance data, and the method further includes:
[0029] Determining a target acceleration operating condition for the target vehicle, where the target acceleration operating condition is an acceleration process that the target vehicle is expected to complete;
[0030] Obtaining a target speed control parameter of the target vehicle according to the target acceleration operating condition;
[0031] simulating the simulation object using the target speed control parameter to obtain speed simulation data of the hybrid power module of the target vehicle;
[0032] The speed performance data of the target vehicle is determined according to the speed simulation data of the hybrid power module.
[0033] The present application also discloses a vehicle evaluation data processing device, the device comprising:
[0034] A simulation object building module, used to build a simulation object of a target vehicle, wherein the target vehicle is a hybrid vehicle, and the simulation object includes a hybrid module;
[0035] a control parameter determination module, configured to determine target control parameters of the target vehicle, wherein the target control parameters include a test operating condition corresponding to the hybrid vehicle;
[0036] a simulation data calculation module, configured to simulate the simulation object using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle;
[0037] an evaluation data determination module, configured to determine evaluation data of the target vehicle according to target simulation data of the hybrid power module;
[0038] The evaluation result acquisition module is used to evaluate the balance between the power performance and economic performance of the target vehicle based on the evaluation data to obtain an evaluation result.
[0039] An embodiment of the present application also discloses an electronic device, including: a processor; and a memory, on which executable code is stored. When the executable code is executed, the processor executes the vehicle evaluation data processing method as described in one or more embodiments of the present application.
[0040] The embodiments of the present application also disclose one or more machine-readable media having executable codes stored thereon. When the executable codes are executed, the processor executes the vehicle evaluation data processing method as described in one or more of the embodiments of the present application.
[0041] Compared with the prior art, the embodiments of the present application have the following advantages:
[0042] In an embodiment of the present application, a simulation object of a target vehicle is constructed, wherein the target vehicle is a hybrid vehicle, and the simulation object includes a hybrid power module; target control parameters of the target vehicle are determined, wherein the target control parameters include a test operating condition corresponding to the hybrid vehicle; the simulation object is simulated using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle; evaluation data of the target vehicle is determined based on the target simulation data of the hybrid power module; and the balance between the power performance and the economic performance of the target vehicle is evaluated based on the evaluation data to obtain an evaluation result. The embodiment of the present application is directed to a hybrid vehicle, and the instantaneous working state of the hybrid power module is evaluated under real-time test operating conditions using target control parameters, thereby obtaining target simulation data and determining evaluation data. The balance between the power performance and the economic performance of the target vehicle is evaluated based on the evaluation data. The dynamic working state of each component of the simulation object can be output in real time during the simulation process, thereby improving the accuracy of the target simulation data, thereby more accurately evaluating the power performance and economic performance of the vehicle through more accurate target simulation data, and providing a reference for the development of hybrid vehicles. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 This is a flowchart of the steps of an embodiment of a method for processing vehicle evaluation data of the present application;
[0044] Figure 2 This is a schematic diagram of a test condition of an embodiment of a method for processing vehicle evaluation data of the present application;
[0045] Figure 3 This is a schematic diagram of a simulation object in an embodiment of a method for processing vehicle evaluation data of the present application;
[0046] Figure 4 This is a data diagram of battery heat generation in an embodiment of a method for processing vehicle evaluation data of the present application;
[0047] Figure 5 This is a data diagram of the heat generated by a drive motor according to an embodiment of a method for processing vehicle evaluation data of the present application;
[0048] Figure 6 This is a data diagram of the heat generated by a generator in an embodiment of a method for processing vehicle evaluation data of the present application;
[0049] Figure 7A This is a data diagram of the engine operating state in pure electric mode in an embodiment of a method for processing vehicle evaluation data of the present application;
[0050] Figure 7BThis is a data diagram of battery SOC changes in pure electric mode in an embodiment of a method for processing vehicle evaluation data of the present application;
[0051] Figure 8 This is a data diagram of engine fuel consumption in CS mode according to an embodiment of a method for processing vehicle evaluation data of the present application;
[0052] Figure 9 This is a schematic diagram of a test condition setting of an embodiment of a method for processing vehicle evaluation data of the present application;
[0053] Figure 10 This is a schematic diagram of target acceleration condition setting in an embodiment of a method for processing vehicle evaluation data of the present application;
[0054] Figure 11 This is a schematic diagram of simulation task settings for an embodiment of a method for processing vehicle evaluation data of the present application;
[0055] Figure 12 This is a schematic diagram of a simulation completion of an embodiment of a method for processing vehicle evaluation data of the present application;
[0056] Figure 13 This is a schematic diagram of simulation data of an embodiment of a method for processing vehicle evaluation data of the present application;
[0057] Figure 14 This is a schematic diagram of fuel consumption data processing according to an embodiment of a method for processing vehicle evaluation data of the present application;
[0058] Figure 15 This is a schematic diagram of speed simulation data of an embodiment of a method for processing vehicle evaluation data of the present application;
[0059] Figure 16 This is a structural block diagram of an embodiment of a vehicle evaluation data processing device of the present application;
[0060] Figure 17 It is a structural diagram of a device provided in one embodiment of the present application. DETAILED DESCRIPTION
[0061] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.
[0062] Reference Figure 1 , is a flowchart of an embodiment of a method for processing vehicle evaluation data of the present application, comprising the following steps:
[0063] Step 101: Build a simulation object of a target vehicle, where the target vehicle is a hybrid electric vehicle, and the simulation object includes a hybrid electric module.
[0064] A method for processing vehicle evaluation data shown in an embodiment of the present application can use AMESim (Advanced Modeling Environment for Simulations of engineering systems, complex system modeling and simulation platform) software to perform the simulation process, thereby solving the problem that traditional simulation software cannot consider the instantaneous state evaluation of the motor and battery system during actual vehicle operation.
[0065] In step 101 of the embodiment of the present application, a simulation object of the target vehicle is built in simulation software, and the simulation software may be AMESim.
[0066] In the embodiments of the present application, the target vehicle is a hybrid electric vehicle (HEV). A hybrid electric vehicle (HEV) is a vehicle that combines a traditional engine and a drive motor as its power source. An intelligent management system switches between the engine and the drive motor, or coordinates them to achieve the goals of improving fuel efficiency and reducing exhaust emissions. Hybrid electric vehicles can be divided into three types: parallel hybrid, series hybrid, and series-parallel hybrid. In a parallel hybrid, both the engine and the drive motor can directly drive the wheels, and they can operate independently or simultaneously. In a series hybrid, the engine does not directly drive the wheels, but is used to generate electricity, which enables the drive motor to propel the vehicle. In a series-parallel hybrid, the engine combines the characteristics of both parallel and series hybrids, with the engine being used to both drive the wheels and generate electricity. The embodiments of the present application do not impose any restrictions on the specific hybrid type of the target vehicle. Different types of hybrid electric vehicles all include at least an engine, a drive motor, and a battery. Therefore, the target vehicle in the embodiments of the present application includes a hybrid module, which includes at least simulation modules corresponding to the engine, the drive motor, and the battery, respectively.
[0067] According to the simulation object built by the hybrid vehicle, the simulation modules that constitute the simulation object are included. In one embodiment, the simulation modules that constitute the simulation object may include a physical structure module and a logical operation module. The physical structure module is used to simulate the physical structural components on the target vehicle, and the logical operation module is used to simulate the vehicle control system, decision logic and signal processing parts of the target vehicle. The simulation modules corresponding to the engine, drive motor and battery in the hybrid module belong to the physical structure module.
[0068] Step 102: Determine target control parameters of the target vehicle, where the target control parameters include a test operating condition corresponding to the hybrid electric vehicle.
[0069] In step 102 of this embodiment, target control parameters are set for the simulation object corresponding to the target vehicle. In one embodiment, structural parameters corresponding to different simulation modules in the simulation object may be further set to initialize the simulation object.
[0070] Among them, the target control parameters are vehicle control parameters used to simulate the target vehicle, and the target control parameters may include test conditions. Test conditions are driving cycles for simulating the simulation data of the target vehicle under different driving conditions. In one embodiment, the test conditions may include CLTC (China Light-duty Vehicle Test Cycle, China Light Vehicle Test Cycle) conditions, WLTC (Worldwide Harmonized Light Vehicles Test Cycle, global unified light vehicle test cycle) conditions, and test conditions set according to actual needs. Since the test conditions represent the instantaneous data of the vehicle during the test, including the instantaneous changes of parameters such as speed and acceleration over time, the target simulation data obtained by simulating according to the target control parameters in the embodiment of the present application can also reflect the dynamic working state of each component. In one embodiment, the target control parameters may also include control strategies such as energy recovery threshold and engine operating point.
[0071] Reference Figure 2 , is a schematic diagram of a test condition of an embodiment of a method for processing vehicle evaluation data of the present application.
[0072] Since the target vehicle in this embodiment is a hybrid electric vehicle, the test condition adopts the WLTC condition. Figure 2 The figure shows a time-vehicle speed diagram for the WLTC road spectrum. Vehicle linear velocity is the vehicle's linear velocity, i.e., the speed in a straight line. Port 5 is the port used for this simulation. km / h is the unit of speed, i.e., kilometers per hour. Figure 2 The single cycle time of the test condition shown in is 1800s. The embodiment of the present application does not impose any restrictions on the specific values of parameters such as ports and cycle time used in the simulation.
[0073] Structural parameters refer to the physical structural parameters of each simulation module itself, and the structural parameters can be set according to the actual needs of the simulation task or the parameters of the actual vehicle. For example, the structural parameters of the vehicle module in the simulation module may include parameters such as vehicle mass and vehicle size; the structural parameters of the battery module may include parameters such as battery cell parameters and battery pack parameters; the structural parameters of the drive motor module may include motor type and performance parameters; the structural parameters of the generator module may include electrical parameters and mechanical parameters; the structural parameters of the engine module may include displacement and number of cylinders, etc. The embodiment of the present application does not impose any restrictions on the types of structural parameters and specific values that need to be set in the simulation object. Those skilled in the art can set the module parameters according to actual needs.
[0074] Step 103 : Simulate the simulation object using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle.
[0075] In step 103 , after setting the target control parameters, a simulation process is run on the simulation software according to the simulation object and the above parameters, thereby obtaining target simulation data corresponding to the hybrid power module of the target vehicle.
[0076] Step 104 : Determine evaluation data of the target vehicle according to the target simulation data of the hybrid power module.
[0077] In step 104, after obtaining the target simulation data, evaluation data corresponding to the target vehicle can be determined based on the target simulation data. Evaluation data refers to data used as a reference for evaluating the performance of the target vehicle, and in this embodiment of the present application, may include evaluation data such as fuel consumption data and speed performance data.
[0078] Step 105: Evaluate the balance between the power performance and the economic performance of the target vehicle based on the evaluation data to obtain an evaluation result.
[0079] The balance between a target vehicle's power and economy performance is typically expressed through its power and economy data, which are included in the evaluation results. Power refers to the vehicle or power system's performance in acceleration, gradeability, and top speed, primarily reflecting the system's output capacity and dynamic response. Economy refers to the vehicle or power system's performance in terms of energy consumption, primarily reflecting the system's energy efficiency.
[0080] In this embodiment, the evaluation data may include the operating status of the engine, the heat generated by the drive motor, and the heat generated by the battery. The evaluation data may further include other power economy data, such as battery power and drive motor power. This embodiment of the application does not impose any restrictions on the specific types of evaluation data, and those skilled in the art may select the specific types of evaluation data based on actual needs.
[0081] The embodiment of the present application is aimed at hybrid electric vehicles. The instantaneous working state of the hybrid module is evaluated under real-time test conditions through target control parameters, thereby obtaining target simulation data and determining evaluation data. The balance between the power performance and economic performance of the target vehicle is evaluated based on the evaluation data. The dynamic working state of each component of the simulation object can be output in real time during the simulation process, thereby improving the accuracy of the target simulation data. Therefore, more accurate target simulation data can be used to more accurately evaluate the power performance and economic performance of the vehicle, providing a reference for the development of hybrid electric vehicles.
[0082] In an optional embodiment of the present application, step 101 further includes:
[0083] determining a powertrain architecture for describing a powertrain of the target vehicle;
[0084] Building the hybrid power module of the target vehicle according to the power architecture, wherein the hybrid power module includes an engine, a drive motor and a battery;
[0085] The hybrid power module is used to build the simulation object.
[0086] In this embodiment, a hybrid power module of the target vehicle can be built based on the target vehicle's power architecture, thereby constructing a simulation object. The power architecture is used to describe the target vehicle's power system. In one embodiment, the target vehicle's power architecture can be represented by a powertrain diagram, which is a schematic diagram showing the components of the vehicle's power system and their interrelationships.
[0087] When building a simulation object, first clarify the composition of the power system of the target vehicle according to the power architecture of the target vehicle. The power system of the target vehicle in the embodiment of the present application is mainly composed of batteries, drive motors, engines and generators, thereby building the hybrid power module of the target vehicle. The simulation object can be further decomposed into a physical structure module and a logical operation module. The physical structure module is used to simulate the physical structural components on the target vehicle, such as the hybrid power module, which is a physical structure module and may include a battery module, a drive motor module, an engine module, etc. The logical operation module is used to simulate the vehicle control system, decision logic and signal processing parts of the target vehicle, such as VCU (Vehicle Control Unit, vehicle control unit), etc. Thus, according to the power architecture and the hybrid power module that has been obtained, the physical structure module and the logical operation module are combined to obtain the simulation object of the target vehicle.
[0088] Reference Figure 3 , is a schematic diagram of a simulation object of an embodiment of a method for processing vehicle evaluation data of the present application.
[0089] Figure 3 The simulation object of the target vehicle constructed in the embodiment of the present application is shown in FIG. Since the target vehicle in the embodiment of the present application is a hybrid vehicle, the simulation object includes a driver module, a vehicle module, a control logic module, an engine module, a battery module, a drive motor module, and a generator module. It should be noted that, as an example, Figure 3 The hybrid vehicle shown in the figure is a series-parallel hybrid vehicle. In fact, the embodiment of the present application does not impose any specific restrictions on the hybrid vehicle type of the target vehicle. Those skilled in the art can build a simulation object based on the target vehicle of the hybrid vehicle type actually selected.
[0090] The embodiment of the present application can accurately reflect the actual power structure and parameters of the target vehicle by constructing a simulation object of the target vehicle according to the power architecture, so that the target simulation data obtained by subsequent simulation is more accurate.
[0091] In an optional embodiment of the present application, the simulation object includes a physical structure module, and the method further includes:
[0092] determining structural parameters according to the target vehicle;
[0093] The physical structure module is initialized using the structural parameters to obtain an initialized simulation object.
[0094] In this embodiment, the structural parameters corresponding to the physical structural components of the target vehicle are determined based on the actual conditions of the target vehicle. These structural parameters are then used to initialize the physical structural modules within the simulation object, resulting in an initialized simulation object. For example, for a vehicle module, structural parameters may include vehicle mass and dimensions, and the structural parameters corresponding to the vehicle module are used to initialize the vehicle module.
[0095] The embodiment of the present application determines structural parameters according to the actual situation of the target vehicle and initializes the physical structure module in the simulation object according to the structural parameters for use in subsequent simulations, thereby ensuring that the simulation object truly reflects the actual characteristics of the target vehicle and improving the accuracy of the simulation results.
[0096] Furthermore, in an optional embodiment of the present application, the target control parameters further include a target energy recovery threshold corresponding to the target vehicle and an operating point of the engine. The target control parameters are used to simulate the simulation object to obtain target simulation data of the hybrid power module of the target vehicle, including:
[0097] According to the test operating conditions, the target energy recovery threshold and the operating point of the engine, the initialized simulation object is simulated on a complex system modeling and simulation platform to obtain the target simulation data of the hybrid power module of the target vehicle.
[0098] In this embodiment, since the target vehicle is a hybrid electric vehicle, the target control parameters may also include a target energy recovery threshold and an engine operating point. The energy recovery threshold is the minimum threshold or critical value that triggers energy recovery in the vehicle's energy recovery system. The energy recovery threshold may include vehicle speed, battery SOC (State of Charge, which refers to the ratio of the battery's current remaining power to its maximum available capacity), the maximum recovery capacity of the motor, etc. In one embodiment, if the target vehicle has a four-wheel drive structure, the energy recovery threshold may also include the torque distribution between the front and rear motors. The engine operating point of a hybrid electric vehicle refers to the operating state of the engine at a certain moment, usually defined by two key parameters: speed (RPM) and torque (Torque). In this embodiment of the application, the target control parameters corresponding to the target vehicle can be set according to the test operating conditions, the target energy recovery threshold and the engine operating point, and the initialized simulation object is simulated on the complex system modeling and simulation platform according to the test operating conditions, the target energy recovery threshold and the engine operating point to obtain the target simulation data of the hybrid module of the target vehicle.
[0099] In one embodiment, the specific steps of simulating the initialized simulation object on the complex system modeling and simulation platform may include:
[0100] Obtain initial simulation tasks on the complex system modeling and simulation platform;
[0101] The target control parameters are used to set the initial simulation task to obtain the target simulation task;
[0102] The initialized simulation object is simulated according to the target simulation task to obtain target simulation data of the hybrid power module of the target vehicle.
[0103] In this embodiment, the target vehicle may be simulated on a complex system modeling and simulation platform (ie, AMESim).
[0104] First, in AMESim, the physical structure module of the simulation object is initialized using structural parameters to obtain the initialized simulation object. Target control parameters are then set for the initial simulation task to obtain the target simulation task. The test conditions in the target control parameters can be selected from AMESim's built-in test conditions or from custom test conditions. In the embodiment of the present application, since AMESim already includes the WLTC conditions required for hybrid electric vehicles, the WLTC conditions can be directly selected in AMESim for simulation. Subsequently, the initialized simulation object is simulated according to the target simulation task to obtain target simulation data for the target vehicle's hybrid module.
[0105] The embodiment of the present application uses AMESim to simulate the simulation object to solve the problem that traditional simulation software cannot take into account the heat generated by the battery and drive motor module.
[0106] The embodiment of the present application obtains the test operating conditions, target energy recovery threshold and engine operating point, and sets the target control parameters based on these data for use in subsequent simulations, thereby ensuring that the simulation object truly reflects the actual characteristics of the target vehicle and improving the accuracy of the simulation results.
[0107] In an optional embodiment of the present application, step 104 further includes:
[0108] Get the target evaluation task;
[0109] According to the target evaluation task, the evaluation data of the target vehicle is calculated using the target simulation data.
[0110] In the embodiment of the present application, after obtaining the target simulation data, since the target simulation data is obtained by AMESim through simulation according to the target simulation task, the software output does not necessarily contain the evaluation data required for evaluating the target vehicle. Therefore, the target simulation data needs to be further processed to obtain the evaluation data. Specifically, according to the target evaluation task, the simulation data required for calculating the evaluation data is filtered from the target simulation data, and a corresponding calculation scheme is obtained based on the evaluation data. The simulation data required for calculating the evaluation data is used to perform calculations according to the calculation scheme to obtain the evaluation data corresponding to the target vehicle.
[0111] For example, if you need to obtain evaluation data of battery consumption, you need to obtain the data of net battery consumption, vehicle driving distance, and vehicle-side power consumption from the target simulation data, and at the same time obtain the target calculation scheme for calculating battery consumption. Then, based on the net battery consumption, vehicle driving distance, and vehicle-side power consumption, the battery consumption can be obtained using the calculation scheme corresponding to the battery consumption.
[0112] After obtaining the target simulation data, the embodiment of the present application obtains evaluation data through further processing. It can not only output the dynamic working status of each component as the target simulation data in real time during the simulation calculation process, but also the evaluation data obtained through the target simulation data provides data support for a more accurate evaluation of the vehicle's power performance and economic performance.
[0113] The following is based on Figure 2 The test conditions shown are Figure 3 The target simulation data and evaluation data obtained by simulating the displayed simulation object include Figures 4 to 8 The data displayed.
[0114] Reference Figure 4 , is a data diagram of battery heat generation in an embodiment of a method for processing vehicle evaluation data of the present application.
[0115] Figure 4 The simulation results of battery heat generation are shown in the figure. The horizontal axis represents the simulation time in seconds, corresponding to a cycle of 1800 seconds under the test condition; the vertical axis represents the battery heat generation in W (watts).
[0116] Reference Figure 5 , is a data diagram of the heat generated by a drive motor in an embodiment of a method for processing vehicle evaluation data of the present application.
[0117] Figure 5 The simulation results of the heat generation of the drive motor are shown in the figure. The horizontal axis represents the simulation time in seconds, corresponding to a cycle of 1800 seconds under the test condition; the vertical axis represents the heat generation of the drive motor in W (watts).
[0118] Reference Figure 6 , is a data diagram of the heat generation of a generator in an embodiment of a method for processing vehicle evaluation data of the present application.
[0119] Figure 6 The simulation results of the generator heat generation are shown in the figure. The horizontal axis represents the simulation time in seconds, corresponding to a cycle of 1800 seconds under the test condition; the vertical axis represents the generator heat generation in W (watts).
[0120] Reference Figure 7A , is a data diagram of the engine operating status in pure electric mode in an embodiment of a method for processing vehicle evaluation data of the present application.
[0121] Figure 7A The figure shows the simulation results of the generator working state when the target vehicle is in pure electric mode. The horizontal axis represents the simulation time in seconds, corresponding to an 1800-second cycle of the test condition; the vertical axis represents the fuel consumption of the generator in kg.
[0122] Reference Figure 7B , is a data diagram of battery SOC changes in pure electric mode in an embodiment of a vehicle evaluation data processing method of the present application.
[0123] Figure 7B The figure shows the simulation results of the battery SOC (State of Charge) change when the target vehicle is in pure electric mode. The horizontal axis represents the simulation time in seconds, corresponding to an 1800s cycle of the test condition; the vertical axis represents the battery SOC in %.
[0124] Reference Figure 8 , is a data diagram of engine fuel consumption in CS mode in an embodiment of a method for processing vehicle evaluation data of the present application.
[0125] Figure 8 Figure 2 shows the simulation results of the target vehicle's engine fuel consumption in CS mode (Charge Sustaining Mode). The horizontal axis represents simulation time in seconds, corresponding to an 1800-second cycle for the test condition; the vertical axis represents engine fuel consumption in kilograms. CS mode is a hybrid vehicle operating mode whose primary goal is to maintain the battery's SOC within a relatively stable range by controlling the operating conditions of the engine and drive motor.
[0126] In an optional embodiment of the present application, the evaluation data includes fuel consumption data, and step 104 includes:
[0127] determining fuel consumption data and mileage data from the target simulation data;
[0128] determining the fuel consumption data according to the fuel consumption data and the mileage data;
[0129] The evaluation data of the target vehicle is obtained according to the fuel consumption data.
[0130] In this embodiment, taking fuel consumption data as an example, if evaluation data including fuel consumption data is needed to evaluate a target vehicle, the fuel consumption data and mileage data need to be determined from the target simulation data, and the fuel consumption data is calculated based on the fuel consumption data and mileage data, thereby obtaining target vehicle evaluation data including fuel consumption data. In an optional embodiment, after obtaining the fuel consumption data, the fuel consumption data can be displayed in a visual manner.
[0131] The fuel consumption data obtained in the embodiment of the present application can provide data support for the economic design and optimization of the vehicle, and the fuel consumption data can be intuitively displayed in a visual manner to facilitate rapid data analysis.
[0132] In an optional embodiment of the present application, the evaluation data includes speed performance data, and the method further includes:
[0133] Determining a target acceleration operating condition for the target vehicle, where the target acceleration operating condition is an acceleration process that the target vehicle is expected to complete;
[0134] Obtaining a target speed control parameter of the target vehicle according to the target acceleration operating condition;
[0135] simulating the simulation object using the target speed control parameter to obtain speed simulation data of the hybrid power module of the target vehicle;
[0136] The speed performance data of the target vehicle is determined according to the speed simulation data of the hybrid power module.
[0137] This embodiment provides a specific method for determining speed performance data. When setting a target simulation task, a target acceleration condition for the target vehicle can be determined. The target acceleration condition is the acceleration process that the target vehicle is expected to complete. Based on the target acceleration condition, target speed control parameters for the target vehicle are obtained. The target speed control parameters are the speed control parameters used to simulate the target vehicle.
[0138] In an optional embodiment of the present application, the target vehicle has a corresponding maximum acceleration curve, and the specific process of determining the target acceleration condition and obtaining the target speed control parameter of the target vehicle may further include:
[0139] Determining a target acceleration operating condition corresponding to the target vehicle, wherein the target acceleration operating condition includes a target acceleration curve, the target acceleration curve has a corresponding envelope, and the envelope of the target acceleration curve includes the maximum acceleration curve;
[0140] The target speed control parameter of the target vehicle is determined according to the target acceleration condition.
[0141] In this embodiment, the target speed control parameters include a target acceleration condition. The target acceleration condition includes a target acceleration curve, i.e., a preset acceleration curve that the target vehicle is required to achieve. The target acceleration curve has a corresponding envelope, and the envelope of the target acceleration curve must include the maximum acceleration curve of the target vehicle, which is the maximum acceleration curve that the target vehicle can actually achieve.
[0142] The embodiment of the present application designs the target acceleration condition according to the maximum acceleration curve corresponding to the target vehicle, so that the simulation results can cover the performance of the target vehicle in extreme acceleration scenarios and verify the extreme performance of its power system, control algorithm and mechanical structure.
[0143] During the simulation process, the target vehicle controls its own speed and speed change using the target speed control parameter as a target, thereby obtaining speed simulation data corresponding to the target vehicle. Speed performance data of the target vehicle, such as acceleration time, maximum speed, and speed change, is determined from the speed simulation data corresponding to the target vehicle and visualized. In one embodiment, the speed performance data of the target vehicle can be plotted as a curve graph for visualization.
[0144] The embodiment of the present application performs simulation based on target speed control parameters to ensure that the simulation results accurately reflect the actual performance of the vehicle. The speed performance data can provide data support for the vehicle's dynamic design and optimization, and the speed performance data is intuitively displayed in a visual manner to facilitate rapid data analysis.
[0145] The following will be based on Figures 9 to 15 , the detailed process of a vehicle evaluation data processing method in an embodiment of the present application is explained.
[0146] Reference Figure 9 , is a schematic diagram of the test condition setting of an embodiment of a vehicle evaluation data processing method of the present application.
[0147] like Figure 9As shown in the figure, after building the simulation object in AMESim, select the test condition for the simulation object. Since AMESim already includes the WLTC condition required for hybrid vehicle simulation, you can select the WLTC condition directly in AMESim. If you need to simulate the acceleration performance of the target vehicle, you can import your own preset acceleration condition using the personal option. Set the remaining parameters as needed; if there are no special requirements, you can use the default settings.
[0148] Reference Figure 10 , is a schematic diagram of target acceleration condition setting in an embodiment of a method for processing vehicle evaluation data of the present application.
[0149] Figure 10 A screenshot of a target acceleration profile is shown in Figure 1. The target acceleration profile specifies that the target vehicle must accelerate to 100 km / h within 1 second, 200 km / h within 2 seconds, and 300 km / h within 3 seconds, with a maximum speed of 300 km / h. This target acceleration profile represents the acceleration profile that the target vehicle is expected to achieve, and its envelope contains the target vehicle's maximum acceleration profile, which is the maximum acceleration profile that the target vehicle can actually achieve.
[0150] Reference Figure 11 , is a simulation task setting diagram of an embodiment of a vehicle evaluation data processing method of the present application.
[0151] After setting the parameters in the above interface, select simulation mode to set the simulation task parameters. Click Run Parameters, and a pop-up window will appear. Figure 11 In the setup window shown, set the Start time to 0 and the Final time based on the actual operating conditions, such as 1800s for a single WLTC cycle. It is recommended to set the Print interval to between 0.01 and 0.1s.
[0152] Reference Figure 12 , is a schematic diagram of the simulation completion of an embodiment of a method for processing vehicle evaluation data of the present application.
[0153] After setting the target simulation task, click Run simulation and a pop-up window will pop up. Figure 12 The calculation monitor shown simulates the simulation object according to the target simulation task and completes the calculation. After the calculation is completed, the progress bar of the simulation monitor is displayed as 100%, thereby obtaining the target simulation data corresponding to the target vehicle.
[0154] Reference Figure 13, is a simulation data schematic diagram of an embodiment of a method for processing vehicle evaluation data of the present application.
[0155] After the simulation is completed, the target simulation data is as follows: Figure 13 The Name column and Title column show the type of target simulation data, and the Expression column shows the result of the target simulation data.
[0156] To calculate battery power consumption, you'll need the net battery power consumption and vehicle distance information. Right-click in the blank area of the Post Processing section and select Add. Create calculations for Bat_kWh (net battery power consumption), Distance (distance traveled), and kWh_100km (vehicle power consumption). The result is the battery power consumption.
[0157] Reference Figure 14 , is a schematic diagram of fuel consumption data processing in an embodiment of a method for processing vehicle evaluation data of the present application.
[0158] If you need to further calculate the fuel consumption simulation results of the target vehicle based on the target simulation data, you need to use the fuel consumption and mileage. Right-click in the blank area of Post processing and select Add. Figure 14 As shown, fuel consumption and mileage calculation items are established respectively. The calculation results are the fuel consumption simulation results. kg (kilograms) and L (liters) are the units of fuel consumption.
[0159] Reference Figure 15 , is a schematic diagram of speed simulation data of an embodiment of a method for processing vehicle evaluation data of the present application.
[0160] If you need to obtain speed simulation data from the simulation results, since the simulation data results include the results of different model components of the simulation object, find the vehicle speed simulation results (#vehicle linear velocity at port5) in the vehicle module, pull the vehicle speed simulation results from the list, and you can get the following Figure 15 The speed curve shown is a graph of the vehicle speed changing with time. Click the Show the replay cursor coordinates button and drag the progress bar. The time corresponding to the speed of 100km / h is the time required for the target vehicle to accelerate to 100km / h. Figure 15 The display shows 4.015s, and the maximum speed that the target vehicle can reach is when the progress bar ends.
[0161] In an embodiment of the present application, a simulation object of a target vehicle is constructed, wherein the target vehicle is a hybrid vehicle, and the simulation object includes a hybrid power module; target control parameters of the target vehicle are determined, wherein the target control parameters include a test operating condition corresponding to the hybrid vehicle; the simulation object is simulated using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle; evaluation data of the target vehicle is determined based on the target simulation data of the hybrid power module; and the balance between the power performance and the economic performance of the target vehicle is evaluated based on the evaluation data to obtain an evaluation result. The embodiment of the present application is directed to a hybrid vehicle, and the instantaneous working state of the hybrid power module is evaluated under real-time test operating conditions using target control parameters, thereby obtaining target simulation data and determining evaluation data. The balance between the power performance and the economic performance of the target vehicle is evaluated based on the evaluation data. The dynamic working state of each component of the simulation object can be output in real time during the simulation process, thereby improving the accuracy of the target simulation data, thereby more accurately evaluating the power performance and economic performance of the vehicle through more accurate target simulation data, and providing a reference for the development of hybrid vehicles.
[0162] It should be noted that for the method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present application are not limited by the order of the actions described, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present application.
[0163] Based on the above embodiment, this embodiment further provides a vehicle evaluation data processing device, which is applied to electronic devices such as terminal devices and servers.
[0164] Reference Figure 16 , shows a structural block diagram of an embodiment of a vehicle evaluation data processing device of the present application, which may specifically include the following modules:
[0165] A simulation object building module 1601 is used to build a simulation object of a target vehicle, wherein the target vehicle is a hybrid vehicle and the simulation object includes a hybrid power module;
[0166] A control parameter determination module 1602 is configured to determine target control parameters of the target vehicle, wherein the target control parameters include a test operating condition corresponding to the hybrid vehicle;
[0167] A simulation data calculation module 1603 is configured to simulate the simulation object using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle;
[0168] An evaluation data determination module 1604 is configured to determine evaluation data of the target vehicle based on target simulation data of the hybrid power module;
[0169] The evaluation result acquisition module 1605 is used to evaluate the balance between the power performance and the economic performance of the target vehicle based on the evaluation data to obtain an evaluation result.
[0170] Optionally, the simulation object building module 1601 includes:
[0171] a power architecture acquisition submodule, configured to determine a power architecture for describing a power system of the target vehicle;
[0172] A power building submodule, configured to build the hybrid power module of the target vehicle according to the power architecture, wherein the hybrid power module includes an engine, a drive motor, and a battery;
[0173] The object building submodule is used to build the simulation object using the hybrid power module.
[0174] Optionally, the simulation object includes a physical structure module, and the device further includes:
[0175] a structural parameter determination module, configured to determine structural parameters according to the target vehicle;
[0176] The simulation object initialization module is used to initialize the physical structure module using the structure parameters to obtain an initialized simulation object.
[0177] Optionally, the target control parameters further include a target energy recovery threshold corresponding to the target vehicle and an operating point of the engine. The simulation data calculation module 1603 is further configured to:
[0178] According to the test operating conditions, the target energy recovery threshold and the operating point of the engine, the initialized simulation object is simulated on a complex system modeling and simulation platform to obtain the target simulation data of the hybrid power module of the target vehicle.
[0179] Optionally, the evaluation data determination module 1604 includes:
[0180] Evaluation task acquisition submodule, used to obtain target evaluation tasks;
[0181] The evaluation data calculation submodule is used to calculate the evaluation data of the target vehicle using the target simulation data according to the target evaluation task.
[0182] Optionally, the evaluation data includes fuel consumption data, and the evaluation data determination module 1604 includes:
[0183] a target data determination submodule, configured to determine fuel consumption data and mileage data from the target simulation data;
[0184] a fuel consumption data calculation submodule, configured to determine the fuel consumption data based on the fuel consumption data and the mileage data;
[0185] The fuel consumption data integration submodule is used to obtain the evaluation data of the target vehicle based on the fuel consumption data.
[0186] Optionally, the evaluation data includes speed performance data, and the apparatus further includes:
[0187] a target acceleration operating condition determination module, configured to determine a target acceleration operating condition for the target vehicle, wherein the target acceleration operating condition is an acceleration process that the target vehicle is expected to complete;
[0188] a speed control parameter determination module, configured to obtain a target speed control parameter of the target vehicle according to the target acceleration operating condition;
[0189] a speed simulation module, configured to simulate the simulation object using the target speed control parameter to obtain speed simulation data of the hybrid power module of the target vehicle;
[0190] The speed performance data determination module is configured to determine the speed performance data of the target vehicle according to the speed simulation data of the hybrid power module.
[0191] An embodiment of the present application further provides a non-volatile readable storage medium, which stores one or more modules (programs). When the one or more modules are applied to a device, the device can execute instructions (instructions) of each method step in the embodiment of the present application.
[0192] The present application provides one or more machine-readable media having instructions stored thereon, which, when executed by one or more processors, cause an electronic device to perform one or more of the methods described in the above embodiments. In the present application, the electronic device includes various types of devices such as terminal devices and servers (clusters).
[0193] The embodiments of the present disclosure may be implemented as a device configured as desired using any appropriate hardware, firmware, software, or any combination thereof, and the device may include electronic devices such as terminal devices and servers (clusters). Figure 17 An exemplary apparatus 1700 that can be used to implement various embodiments described in this application is schematically illustrated.
[0194] For one embodiment, Figure 17An exemplary apparatus 1700 is shown having one or more processors 1702, a control module (chip set) 1704 coupled to at least one of the processor(s) 1702, a memory 1706 coupled to the control module 1704, a non-volatile memory (NVM) / storage device 1708 coupled to the control module 1704, one or more input / output devices 1710 coupled to the control module 1704, and a network interface 1712 coupled to the control module 1704.
[0195] The processor 1702 may include one or more single-core or multi-core processors, and the processor 1702 may include any combination of general-purpose processors or dedicated processors (e.g., graphics processors, application processors, baseband processors, etc.). In some embodiments, the apparatus 1700 can serve as a terminal device, server (cluster), or other device described in the embodiments of the present application.
[0196] In some embodiments, the apparatus 1700 may include one or more computer-readable media (e.g., memory 1706 or NVM / storage 1708) having instructions 1714 and one or more processors 1702 configured in conjunction with the one or more computer-readable media to execute the instructions 1714 to implement a module to perform the actions described in the present disclosure.
[0197] For one embodiment, the control module 1704 may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) 1702 and / or any suitable device or component in communication with the control module 1704 .
[0198] The control module 1704 may include a memory controller module to provide an interface to the memory 1706. The memory controller module may be a hardware module, a software module, and / or a firmware module.
[0199] Memory 1706 can be used, for example, to load and store data and / or instructions 1714 for device 1700. For one embodiment, memory 1706 can include any suitable volatile memory, such as a suitable DRAM. In some embodiments, memory 1706 can include double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).
[0200] For one embodiment, control module 1704 may include one or more input / output controllers to provide interfaces to NVM / storage device 1708 and input / output device(s) 1710 .
[0201] For example, NVM / storage 1708 may be used to store data and / or instructions 1714. NVM / storage 1708 may include any suitable non-volatile memory (e.g., flash memory) and / or may include any suitable non-volatile storage device(s) (e.g., one or more hard disk drives (HDDs), one or more compact disk (CD) drives, and / or one or more digital versatile disk (DVD) drives).
[0202] NVM / storage device 1708 may include storage resources that are physically part of the device on which apparatus 1700 is installed, or it may be accessible to the device without being part of the device. For example, NVM / storage device 1708 may be accessible over a network via input / output device(s) 1710.
[0203] (One or more) input / output devices 1710 may provide an interface for apparatus 1700 to communicate with any other appropriate devices. Input / output devices 1710 may include communication components, audio components, sensor components, etc. Network interface 1712 may provide an interface for apparatus 1700 to communicate via one or more networks. Apparatus 1700 may wirelessly communicate with one or more components of a wireless network according to any of one or more wireless network standards and / or protocols, for example, accessing a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, 5G, etc., or a combination thereof for wireless communication.
[0204] For one embodiment, at least one of the processor(s) 1702 may be packaged together with the logic of one or more controllers (e.g., a memory controller module) of the control module 1704. For one embodiment, at least one of the processor(s) 1702 may be packaged together with the logic of one or more controllers of the control module 1704 to form a system-in-package (SiP). For one embodiment, at least one of the processor(s) 1702 may be integrated on the same die with the logic of one or more controllers of the control module 1704. For one embodiment, at least one of the processor(s) 1702 may be integrated on the same die with the logic of one or more controllers of the control module 1704 to form a system-on-chip (SoC).
[0205] In various embodiments, apparatus 1700 may be, but is not limited to, a terminal device such as a server, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet computer, a netbook, etc.). In various embodiments, apparatus 1700 may have more or fewer components and / or a different architecture. For example, in some embodiments, apparatus 1700 includes one or more cameras, a keyboard, a liquid crystal display (LCD) screen (including a touchscreen display), a non-volatile memory port, multiple antennas, a graphics chip, an application-specific integrated circuit (ASIC), and a speaker.
[0206] Among them, the main control chip can be used as a processor or control module in the detection device, sensor data, location information, etc. are stored in the memory or NVM / storage device, the sensor group can be used as an input / output device, and the communication interface may include a network interface.
[0207] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.
[0208] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.
[0209] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable vehicle evaluation data processing terminal device to produce a machine, so that the instructions executed by the processor of the computer or other programmable vehicle evaluation data processing terminal device generate instructions for implementing the process Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0210] These computer program instructions can also be stored in a computer readable memory that can guide a computer or other programmable vehicle evaluation data processing terminal device to work in a specific manner, so that the instructions stored in the computer readable memory produce a product including an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0211] These computer program instructions can also be loaded onto a computer or other programmable vehicle evaluation data processing terminal device, so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.
[0212] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.
[0213] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or terminal device that includes the element.
[0214] The above is a detailed introduction to a vehicle evaluation data processing method and device, an electronic device and a storage medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, based on the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.
Claims
1. A method for processing vehicle evaluation data, characterized in that: The method comprises: Building a simulation object of a target vehicle, wherein the target vehicle is a hybrid vehicle, and the simulation object includes a hybrid power module; Determining target control parameters of the target vehicle, wherein the target control parameters include a test operating condition corresponding to the hybrid electric vehicle; simulating the simulation object using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle; determining evaluation data of the target vehicle according to target simulation data of the hybrid power module; The balance performance between the power performance and the economic performance of the target vehicle is evaluated based on the evaluation data to obtain an evaluation result.
2. The method according to claim 1, characterized in that The simulation object of the target vehicle is constructed, including: determining a powertrain architecture for describing a powertrain of the target vehicle; Building the hybrid power module of the target vehicle according to the power architecture, wherein the hybrid power module includes an engine, a drive motor and a battery; The hybrid power module is used to build the simulation object.
3. The method according to claim 2, characterized in that The simulation object includes a physical structure module, and the method further includes: determining structural parameters according to the target vehicle; The physical structure module is initialized using the structural parameters to obtain an initialized simulation object.
4. The method according to claim 3, characterized in that The target control parameters also include a target energy recovery threshold corresponding to the target vehicle and an operating point of the engine. The target control parameters are used to simulate the simulation object to obtain target simulation data of the hybrid power module of the target vehicle, including: According to the test operating conditions, the target energy recovery threshold and the operating point of the engine, the initialized simulation object is simulated on a complex system modeling and simulation platform to obtain the target simulation data of the hybrid power module of the target vehicle.
5. The method according to claim 4, characterized in that Determining the evaluation data of the target vehicle according to the target simulation data of the hybrid power module includes: Get the target evaluation task; According to the target evaluation task, the evaluation data of the target vehicle is calculated using the target simulation data.
6. The method according to claim 1, characterized in that The evaluation data includes fuel consumption data, and determining the evaluation data of the target vehicle according to the target simulation data of the hybrid power module includes: determining fuel consumption data and mileage data from the target simulation data; determining the fuel consumption data according to the fuel consumption data and the mileage data; The evaluation data of the target vehicle is obtained according to the fuel consumption data.
7. The method according to claim 1, characterized in that The evaluation data includes speed performance data, and the method further includes: Determining a target acceleration operating condition for the target vehicle, where the target acceleration operating condition is an acceleration process that the target vehicle is expected to complete; Obtaining a target speed control parameter of the target vehicle according to the target acceleration operating condition; simulating the simulation object using the target speed control parameter to obtain speed simulation data of the hybrid power module of the target vehicle; The speed performance data of the target vehicle is determined according to the speed simulation data of the hybrid power module.
8. A vehicle evaluation data processing device, characterized in that: The device comprises: A simulation object building module, used to build a simulation object of a target vehicle, wherein the target vehicle is a hybrid vehicle, and the simulation object includes a hybrid module; a control parameter determination module, configured to determine target control parameters of the target vehicle, wherein the target control parameters include a test operating condition corresponding to the hybrid vehicle; a simulation data calculation module, configured to simulate the simulation object using the target control parameters to obtain target simulation data of the hybrid power module of the target vehicle; an evaluation data determination module, configured to determine evaluation data of the target vehicle according to target simulation data of the hybrid power module; The evaluation result acquisition module is used to evaluate the balance between the power performance and economic performance of the target vehicle based on the evaluation data to obtain an evaluation result.
9. An electronic device, characterized in that: include: processor; and A memory having executable codes stored thereon, which, when executed, causes the processor to execute the vehicle evaluation data processing method according to one or more of claims 1-7.
10. One or more machine-readable media having executable codes stored thereon, which, when executed, cause a processor to execute the vehicle evaluation data processing method according to one or more of claims 1-7.