Vehicle thermal power integration virtual simulation evaluation method and device, medium and equipment

Abstract

The invention relates to the technical field of automobile thermal management and energy consumption evaluation, in particular to a vehicle thermal power integration virtual simulation evaluation method and device, a medium and equipment. And importing preset vehicle data into the virtual simulation software, constructing a vehicle model, and constructing a heat domain module, a power domain module, a control domain module and an evaluation domain module of the vehicle. The vehicle model is operated in the virtual simulation software, data generated by the heat domain module and data generated by the power domain module are input into the control domain module, and the control domain module returns a control strategy to the heat domain module and the power domain module so that the heat domain module and the power domain module can operate the vehicle model according to the control strategy. And determining an operation evaluation result of the vehicle model according to the evaluation domain module. The operation process of the vehicle model is comprehensively evaluated through the evaluation domain module, so that the vehicle design scheme can be optimal on a plurality of key performance indexes, and systematic consideration of the thermal-power coupling effect of the whole vehicle is realized.

Description

TECHNICAL FIELD

[0001] The present specification relates to the technical field of automobile thermal management and energy consumption evaluation, and particularly relates to a vehicle thermal and power integration virtual simulation evaluation method, device, medium and equipment. BACKGROUND

[0002] At present, with the continuous improvement of the intelligent level of automobiles and the rapid expansion of the new energy automobile market, consumers' requirements for the vehicle's range, comfort and safety are increasing. As a core factor affecting the above-mentioned performances, the importance of vehicle thermal management is increasingly prominent. The temperature fluctuation of core components such as batteries and motors under different working conditions will not only directly lead to increased energy consumption and life attenuation, but also may cause safety hazards (for example, high temperature of the battery in summer may cause thermal runaway, and low temperature in winter will cause the range to drop sharply). Therefore, it is crucial to scientifically evaluate the coupling relationship between the thermal management performance and the power performance of the vehicle.

[0003] However, the existing virtual simulation method mostly adopts an "isolated" design idea, that is, independent thermal management analysis is performed on the battery, motor, electric control and other components. This method lacks systematic consideration of the thermal-power coupling effect of the vehicle, resulting in a large deviation between the simulation results and the real vehicle test. It is this limitation that makes the current thermal management evaluation idea often focus on a single component or a single performance indicator.

[0004] Therefore, the present specification provides a vehicle thermal and power integration virtual simulation evaluation method, device, medium and equipment. SUMMARY

[0005] The present specification provides a vehicle thermal and power integration virtual simulation evaluation method, device, medium and equipment to partially solve the above-mentioned problems existing in the prior art.

[0006] The present specification adopts the following technical solutions: The present specification provides a vehicle thermal and power integration virtual simulation evaluation method, which comprises: Importing preset vehicle data into a virtual simulation software to construct a vehicle model; According to the vehicle model, a thermal domain module, a power domain module, a control domain module and an evaluation domain module of the vehicle are built; According to a preset operating condition, the vehicle model is run in the virtual simulation software, and data generated by the thermal domain module and data generated by the power domain module during the running of the vehicle model are determined; The data generated by the thermal domain module and the data generated by the power domain module are input into the control domain module, and the control domain module returns a control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy; The data generated by the thermal domain module, the data generated by the power domain module and the control strategy are input into the evaluation domain module to determine the operation evaluation result during the operation of the vehicle model.

[0007] According to the above technical means, by importing the preset vehicle data into the virtual simulation software and constructing a complete vehicle model including the thermal domain module, the power domain module, the control domain module and the evaluation domain module, the operation of the actual vehicle under various working conditions can be simulated more accurately. This method considers the mutual influence of thermal management and power system, thereby improving the accuracy of actual performance prediction in the design stage. And allows dynamic adjustment of the control strategy based on the data generated by the thermal domain module (such as the temperature change of each component) and the data generated by the power domain module (such as energy consumption, output power, etc.), to optimize the energy utilization efficiency of the vehicle. Through the comprehensive evaluation of various indicators of the vehicle model during operation by the evaluation domain module, it helps to make the vehicle design scheme optimal in multiple key performance indicators, and realizes the systematic consideration of the thermal-power coupling effect of the whole vehicle.

[0008] Further, the thermal domain module includes a battery thermal model, a motor thermal model, and an air conditioning system thermal model. The power domain module includes an equivalent circuit model and a permanent magnet synchronous motor model. The control domain module includes a vehicle energy management strategy controller, a thermal management controller, a cabin temperature control strategy controller, a motor electric control strategy controller, and a vehicle torque strategy controller.

[0009] According to the above technical means, through detailed module division, comprehensive modeling of the complex thermal management and power transmission process inside the new energy vehicle is realized, covering all levels from basic components to advanced control strategies.

[0010] Further, the data generated by the thermal domain module includes battery heat generation and temperature field distribution data generated by the battery thermal model, motor stator or rotor temperature generated by the motor thermal model, and air conditioning system dynamic data generated by the air conditioning system thermal model. The data generated by the power domain includes battery charge and discharge data generated by the equivalent circuit model, motor output power and efficiency generated by the permanent magnet synchronous motor model, and efficiency MAP corresponding to the control domain module.

[0011] Based on the above technical means, by clarifying the thermal domain module output of battery heat generation and temperature field, motor temperature, and air conditioning dynamic data, and the power domain module output of battery charging and discharging characteristics, motor power efficiency, and component efficiency MAP diagram, a complete data chain from "component-level physical modeling" to "system-level performance evaluation" is realized. These data not only reflect the simulation results, but also are the core elements for optimizing drive control strategies, supporting multi-objective evaluation, and improving system integration.

[0012] Furthermore, the data generated by the thermal domain module is input into the evaluation domain module to determine the operation evaluation result of the vehicle model during operation, specifically including: The evaluation domain module determines the maximum battery temperature and the motor magnet demagnetization risk index based on the battery heat generation and temperature field distribution data; determines the motor winding peak temperature based on the motor stator or rotor temperature; and determines the cabin steady-state temperature difference, defrost target time, and air conditioning system performance coefficient based on the air conditioning system dynamic data.

[0013] Using these technical approaches, real-time monitoring of key parameters such as maximum battery temperature and peak motor winding temperature enables timely detection and early warning of potential safety hazards, such as battery thermal runaway and motor demagnetization, allowing appropriate measures to prevent accidents. Accurate cabin temperature differential control and rapid defrosting significantly improve driver and passenger comfort. These evaluation results, combined with other relevant data (such as data from the power domain module), enable comprehensive analysis and more informed decision-making, such as selecting the optimal design solution and developing a reasonable maintenance plan.

[0014] Furthermore, the data generated by the power domain module is input into the evaluation domain module to determine the operation evaluation result of the vehicle model during operation, specifically including: The evaluation domain module determines the 100-kilometer electricity consumption data of the vehicle model based on the battery charge and discharge data; determines the battery cycle life loss percentage data based on the motor output power and efficiency; and determines the waste heat recovery contribution rate based on the efficiency MAP diagram corresponding to the control domain module.

[0015] According to the above technical means, the electricity consumption per 100 kilometers directly affects the user's use cost and the cruising range, which is the core of market competitiveness. The battery cycle life loss percentage is related to the vehicle warranty cost, user satisfaction and brand reputation. The waste heat recovery contribution rate reflects the integration level and intelligent degree of the thermal system. The three core evaluation results of electricity consumption per 100 kilometers, battery life loss percentage and waste heat recovery contribution rate mark that the virtual simulation evaluation method has moved from "phenomenon simulation" to "value evaluation" stage. This not only improves the engineering practicability of the simulation system, but also provides a scientific and quantifiable decision basis for the continuous breakthrough of new energy vehicles in energy consumption, reliability, intelligence and other aspects, which has significant technical advancement and industrial application prospect.

[0016] Further, the control strategy is input into the evaluation domain module to determine the running evaluation result in the running process of the vehicle model, specifically including: According to the control strategy, the configuration parameters of each model in the thermal domain module and the power domain module are determined; According to the configuration parameters, the running cost of the in-vehicle model is determined.

[0017] According to the above technical means, the control strategy is input into the evaluation domain module, and the configuration parameters of the thermal domain and the power domain are determined accordingly, and then the running cost of the vehicle (such as the cost of key components such as active air intake grille, coaxial pipe assembly, heat pump system, etc.) is evaluated. This is the key transition of the present scheme from "technical feasibility" to "commercial feasibility". It realizes the conversion of abstract "strategy" into specific "hardware demand", improves the integration design level of new energy vehicle thermal-power coupled system, and provides a powerful virtual evaluation tool support for enterprises to realize "high performance, low cost and fast iteration" product competitiveness.

[0018] Further, the evaluation domain module is in communication connection with the thermal domain module, the power domain module and the control domain module; and the thermal domain module, the power domain module and the control domain module are in mutual communication connection.

[0019] The present specification provides a vehicle thermal-power integrated virtual simulation evaluation device, comprising: A construction module is configured to import preset vehicle data into a virtual simulation software to construct a vehicle model. A building module is configured to build a thermal domain module, a power domain module, a control domain module and an evaluation domain module of a vehicle according to the vehicle model. A running module is configured to run the vehicle model in the virtual simulation software according to a preset running condition, and determine the data generated by the thermal domain module and the data generated by the power domain module in the running process of the vehicle model. a control module, configured to input the data generated by the thermal domain module and the data generated by the power domain module into the control domain module, and return a control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy; an evaluation module, configured to input the data generated by the thermal domain module, the data generated by the power domain module and the control strategy into the evaluation domain module, and determine a running evaluation result during running of the vehicle model.

[0020] The present specification provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the vehicle thermal power integration virtual simulation evaluation method.

[0021] The present specification provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the vehicle thermal power integration virtual simulation evaluation method when executing the program.

[0022] The above at least one technical solution adopted by the present specification can achieve the following beneficial effects: The vehicle thermal power integration virtual simulation evaluation method provided by the present specification firstly imports preset vehicle data into virtual simulation software to construct a vehicle model. According to the vehicle model, a thermal domain module, a power domain module, a control domain module and an evaluation domain module of the vehicle are built. According to a preset running condition, the vehicle model is run in the virtual simulation software, and data generated by the thermal domain module and data generated by the power domain module during running of the vehicle model are determined. The data generated by the thermal domain module and the data generated by the power domain module are input into the control domain module, and the control domain module returns a control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy. The data generated by the thermal domain module, the data generated by the power domain module and the control strategy are input into the evaluation domain module, and a running evaluation result during running of the vehicle model is determined.

[0023] By importing pre-set vehicle data into virtual simulation software and constructing a complete vehicle model including thermal domain modules, power domain modules, control domain modules, and evaluation domain modules, the running conditions of actual vehicles under various working conditions can be simulated more accurately. This method takes into account the mutual influence of thermal management and power systems, thereby improving the accuracy of actual performance prediction during the design phase. And it allows dynamic adjustment of control strategies based on data generated by the thermal domain modules (such as temperature changes of each component) and data generated by the power domain modules (such as energy consumption, output power, etc.), to optimize the energy utilization efficiency of the vehicle. Through the comprehensive evaluation of various indicators during the running of the vehicle model by the evaluation domain module, it helps to make the vehicle design scheme optimal in multiple key performance indicators, and realizes the systematic consideration of the thermal-power coupling effect of the whole vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0024] The accompanying drawings, which are included to provide a further understanding of the present application, constitute a part of the specification and illustrate illustrative embodiments of the present application and together with the description serve to explain the present application. In the drawings: Figure 1 A flowchart of a vehicle thermal-power integrated virtual simulation evaluation method according to an embodiment of the present application is shown in the figure; Figure 2 A schematic diagram of a four-domain module according to the present application is shown in the figure; Figure 3 A schematic diagram of a vehicle thermal-power integrated virtual simulation evaluation device according to the present application is shown in the figure Figure 4 A structural schematic diagram of an electronic device corresponding to Figure 1 according to the present application is shown in the figure. DETAILED DESCRIPTION

[0025] It should be noted that the embodiments and technical features in the present application can be combined with each other without conflict, and the detailed description in the specific embodiments should be understood as an explanation and description of the purpose of the present application, and should not be regarded as an improper limitation of the present application.

[0026] In order to make the purpose, technical scheme and advantages of the present application clearer, the technical scheme of the present application will be described clearly and completely in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0027] In the embodiments of the present application, the terms "comprising", "containing" or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements not only includes those elements, but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0028] The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0029] Figure 1 A flowchart of a vehicle thermal power integration virtual simulation evaluation method provided by the embodiments of the present application includes the following steps: S1: importing preset vehicle data into virtual simulation software to construct a vehicle model.

[0030] In the process of vehicle thermal power integration virtual simulation evaluation in the present application, the process of vehicle thermal power integration virtual simulation evaluation in the embodiments of the present application can be performed by a server. Of course, the present application does not limit the device or platform that performs the process of vehicle thermal power integration virtual simulation evaluation, and devices or platforms such as personal computers and mobile terminals can also be used to perform vehicle thermal power integration virtual simulation evaluation. For ease of description, the server is taken as the execution subject for description below.

[0031] In one or more embodiments of the present application, the server can import preset vehicle data into virtual simulation software, which can include geometric data of a vehicle to be virtually simulated, data of material properties of each component of the vehicle, etc., and construct a vehicle model corresponding to the vehicle data in the virtual simulation software.

[0032] S2: building a thermal domain module, a power domain module, a control domain module, and an evaluation domain module of the vehicle according to the vehicle model.

[0033] S3: running the vehicle model in the virtual simulation software according to a preset operating condition, and determining data generated by the thermal domain module and data generated by the power domain module during running of the vehicle model.

[0034] In one or more embodiments of the present specification, the server builds a thermal domain module, a power domain module, a control domain module and an evaluation domain module of the vehicle according to the built vehicle model. Then, the server can realize the running condition in the virtual simulation software according to the preset running condition, and run the vehicle model. The server determines the data generated by the thermal domain module and the data generated by the power domain module during the running of the vehicle model. Of course, a plurality of running conditions can be preset to run the vehicle model under different conditions.

[0035] The thermal domain module mainly focuses on "temperature and heat transfer", and builds a multi-component thermal characteristic model cluster, including a battery thermal model, a motor thermal model, an air conditioning system thermal model, and of course a controller thermal model and other key component thermal models. In the virtual simulation software, the thermal domain module can also input external conditions such as ambient temperature, humidity, and altitude (ambient temperature affects battery heat generation rate, humidity is related to air conditioning defrost efficiency, and altitude affects air conditioning system pressure parameters). In the thermal domain module, the server can simulate battery heat generation and temperature field distribution data through electrochemical-thermal coupling algorithm according to the battery thermal model, and also can obtain air conditioning system dynamic data through the air conditioning system thermal model.

[0036] The power domain module is centered on "energy and power", and builds a power component performance model cluster, integrating driving cycle related external conditions. It includes equivalent circuit model, permanent magnet synchronous motor model, and of course power battery system model, drive motor system model, DC / DC converter model and other power component models. In the virtual simulation software, the power domain module can also input external parameters such as road slope and vehicle load (including the number of passengers and luggage weight) (slope affects motor output torque, and load determines basic power demand). In the power domain module, the server can determine battery charge and discharge data through the equivalent circuit model, and also can calculate motor output power and efficiency through the permanent magnet synchronous motor model, and can determine the efficiency MAP graph corresponding to the power domain module, i.e. the efficiency MAP graph corresponding to each model in the power domain module (i.e. equivalent circuit model, permanent magnet synchronous motor model, power battery system model, drive motor system model, DC / DC converter model, etc.). Dynamic power loss calculation can be realized through the efficiency MAP graph.

[0037] The control domain module is the core of "decision and regulation", integrating multi-dimensional control strategy modules, including an energy management strategy (EMS) controller, a thermal management controller (TMC), a cabin temperature control strategy controller, a motor electric control strategy controller, and a vehicle torque strategy controller. The motor electric control strategy controller is related to a motor control unit (MCU) and is used for precisely controlling the motor commutation logic and current output, which can affect the efficiency of the power domain module. The vehicle torque strategy controller is related to a vehicle control unit (VCU) and is used for dynamically allocating torque according to the driving intention and working conditions, and is related to the load distribution of the power domain module. The energy management strategy controller is used for overall planning of power distribution. The thermal management controller controls the action of the thermal management actuator and affects the temperature control effect of each component or model in the vehicle model. The cabin temperature control strategy controller can adjust the operation mode of the air conditioner in the vehicle model and is related to the air conditioning system thermal model.

[0038] The evaluation domain module is the core of "index calculation and output", which evaluates the vehicle model by collecting data from the three domain modules.

[0039] S4: input the data generated by the thermal domain module and the data generated by the power domain module into the control domain module, and the control domain module returns a control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy.

[0040] In one or more embodiments of the present specification, the server can input the data generated by the thermal domain module and the data generated by the power domain module into the control domain module. After receiving these data, the control domain module can formulate a control strategy according to the controllers integrated therein, which can indicate how to adjust the configuration parameters of each model in the thermal domain module and the power domain module. Then, the control domain module returns the control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run each model included in the respective modules according to the control strategy, realize adjusting the vehicle model based on the control strategy, and continue to run the vehicle model.

[0041] S5: input the data generated by the thermal domain module, the data generated by the power domain module, and the control strategy into the evaluation domain module, and determine the running evaluation result of the vehicle model during running.

[0042] In one or more embodiments of the present specification, the server inputs the data generated by the thermal domain module, the data generated by the power domain module and the control strategy determined by the evaluation domain module into the evaluation domain module to determine the operation evaluation result during the operation of the vehicle model.

[0043] Specifically, the evaluation domain module can determine the battery maximum temperature, the motor magnetic steel demagnetization risk index according to the battery heat generation and temperature field distribution data. The motor winding peak temperature is determined according to the motor stator or rotor temperature. The cabin steady-state temperature difference, defrost standard time and air conditioning system performance coefficient (COP) are determined according to the air conditioning system dynamic data.

[0044] The evaluation domain module can also determine the vehicle model's 100 km electricity consumption data according to the battery charging and discharging data. The battery cycle life loss percentage data is determined according to the motor output power and efficiency. The waste heat recovery contribution rate is determined according to the efficiency MAP of each model.

[0045] The evaluation domain module can also determine the configuration parameters of each model (i.e. the above-mentioned battery thermal model, motor thermal model, air conditioning system thermal model, equivalent circuit model, permanent magnet synchronous motor model, etc.) in the thermal domain module and the power domain module according to the control strategy, and determine the operation cost of the in-vehicle model according to the configuration parameters. Of course, the models in the thermal domain module and the power domain module can also include models of components such as heat pump system model, active air intake grille, coaxial tube assembly model, and the operation cost can also include active air intake grille cost, coaxial tube assembly cost, heat pump system cost, equivalent circuit cost, battery cost, etc.

[0046] Of course, the air conditioning system dynamic data generated by the air conditioning system thermal model in the thermal domain module and the strategy executed by the cabin temperature control strategy controller in the control domain module can also determine the PMV-PPD index representing the comfort of the cabin, which is the thermal comfort evaluation (PMV is the predicted mean vote and PPD is the dissatisfied rate), PMV ∈ [-0.5, 0.5] is optimal. The power domain module also includes a refrigerant system, and the refrigerant pressure data can be obtained to determine the refrigerant high pressure threshold margin.

[0047] In addition, Figure 2 A schematic diagram of a four-domain module is provided for the present specification. As shown in the figure, in one or more embodiments of the present specification, the evaluation domain module is respectively connected in communication with the thermal domain module, the power domain module and the control domain module. The thermal domain module, the power domain module and the control domain module are connected in communication with each other. Thus, efficient data intercommunication between the four-domain modules is achieved.

[0048] For example, thermal domain module -> power domain module: the thermal domain module sends the battery cell temperature (which can be determined by battery heat generation and temperature field distribution data), motor winding temperature (which can be determined by motor stator or rotor temperature), and environmental temperature correction coefficient to the power domain module, so that the power domain module corrects the efficiency of each model in it, such as the battery power attenuation coefficient at low temperature, to ensure the accuracy of the calculation of the energy consumption factor per 100 kilometers.

[0049] Power domain module -> thermal domain module: the power domain module can feed back the motor copper loss, controller switch loss, and additional power loss corresponding to the slope / load to the thermal domain module as the heat generation rate calculation input, which can be used to support the calculation of temperature extremes such as the maximum battery temperature and the peak motor winding temperature.

[0050] Control domain module <—> thermal domain module / power domain module: the control domain module sends control strategies including MCU current instructions (MCU current instructions formulated by motor electronic control strategy controller), torque distribution instructions (VCU torque distribution instructions formulated by vehicle torque strategy controller), and receives temperature feedback (such as battery heat generation and temperature field distribution data) sent by the thermal domain module / power domain module, load state, and slope information.

[0051] The contents of the communication between the thermal domain module, the power domain module, and the control domain module and the evaluation domain module can refer to the specific contents of step S5 above.

[0052] In one or more embodiments of the present specification, the running evaluation results that occur for the above-mentioned contents can be divided into five categories, which are energy consumption factor, comfort factor, thermal safety factor, life attenuation factor, and cost factor. The classification and significance of each running evaluation result are described as follows: Energy consumption factor: the data of per 100 kilometers of electric consumption represents the power consumption (kWh) of the vehicle driving 100 km, which can reflect the basic energy efficiency of the vehicle. The COP of the air conditioning system represents the ratio of refrigeration / heat to power consumption, which can measure the efficiency of the air conditioning system (the higher the value, the more energy-saving). The waste heat recovery contribution rate represents the proportion of energy used for cabin heating or battery heating.

[0053] Comfort factor: the cabin steady-state temperature difference (which can also be the cabin steady-state temperature) represents the air conditioning stable cabin temperature difference or average temperature (℃), and the target value is 25±2℃. The defrosting standard time represents the time required for the windshield frost layer to be completely removed (seconds), and the shorter the time, the better. The PMV-PPD index represents the thermal comfort evaluation.

[0054] Thermal safety factor: battery maximum temperature represents the peak temperature of the battery core (℃), > 50℃, the life attenuation is accelerated. The peak temperature of the motor winding represents the working limit temperature of the motor (℃), > 180℃, the demagnetization is possible. The high pressure threshold of the refrigerant represents the margin of the system pressure from the safety threshold (%), the margin < 10% is high risk.

[0055] Life attenuation factor: battery cycle life loss percentage data represents the capacity attenuation proportion caused by charge and discharge cycles (%), reflecting the battery durability. The demagnetization risk index of the motor magnetic steel represents the probability of permanent magnet demagnetization caused by high temperature / overload (0~1), the lower the value, the safer.

[0056] Cost factor: active air intake grille cost ratio represents the proportion of active air intake grille in the total cost of thermal management system (%), which needs to be controlled ≤ 8%. The cost of coaxial pipe assembly represents the absolute cost of refrigerant pipe integrated components (yuan), which affects the lightweight and assembly efficiency of the system. The cost coefficient of heat pump system represents the ratio of the cost of heat pump components (compressor, valve) to the cost of basic air conditioner, which is > 1.2, and the economy is poor.

[0057] It is worth noting that for each of the above operation evaluation results, each operation evaluation result (such as temperature, cost, percentage) can be normalized to the interval [0, 1] by weighted normalization. The weight of each operation evaluation result can be determined according to the analytic hierarchy process or entropy weight method to ensure that the sum of the weights is 1. Then the comprehensive score U is calculated:

[0058] Among them, is the weight of the i-th operation evaluation result, is the normalized score of the i-th operation evaluation result.

[0059] Referring to Table 1, as shown in Table 1, the operation evaluation results can be divided into five categories of index categories, which are energy consumption factor, comfort factor, thermal safety factor, life attenuation factor, and cost factor. Each specific operation evaluation result is divided into positive index and negative index, and the positive normalization method and the negative normalization method are used respectively. The table shows the evaluation criteria and the weight of each index.

[0060] Table 1 Simulation parameters of membrane air spring stiffness characteristic model

[0061] For the positive normalization method adopted for the positive index, the value of the positive index such as waste heat recovery contribution rate is larger, indicating that the effect is better, and the normalization method can adopt the minimum-maximum scaling method. Take the waste heat recovery contribution rate as an example, the formula is as follows:

[0062] wherein, is the normalized waste heat recovery contribution rate, is the original waste heat recovery contribution rate (i.e. the waste heat recovery contribution rate before normalization), represents the preset minimum waste heat recovery contribution rate, represents the preset maximum waste heat recovery contribution rate.

[0063] For some indicators, the smaller the value, the better the effect, such as the data of electricity consumption per 100 kilometers, and the operation evaluation result with such characteristics can be used as a reverse indicator. A reverse normalization method is adopted, and the data of electricity consumption per 100 kilometers is taken as an example for illustration. The formula is as follows:

[0064] wherein, is the normalized data of electricity consumption per 100 kilometers, is the original data of electricity consumption per 100 kilometers (i.e. the data of electricity consumption per 100 kilometers before normalization), represents the preset minimum data of electricity consumption per 100 kilometers, represents the preset maximum data of electricity consumption per 100 kilometers.

[0065] In addition, in the present specification, for the control strategy determined by the control domain module, the server can also use the improved Nondominated Sorting Genetic Algorithm-II (NSGA-II) to perform Pareto optimization on the control strategy to determine the optimal strategy. The optimized control strategy is generated into a flashable file for real vehicle verification, realizing "virtual calibration".

[0066] It is worth noting that in the present specification, the thermal domain module can be built in virtual simulation software A, and the power domain module can be built in virtual simulation software B to realize joint simulation. In this way, the existing models can be reused to realize convenient and fast arrangement of the four-domain modules of the vehicle model.

[0067] The above is a vehicle thermal power integration virtual simulation evaluation method provided by one or more embodiments of the present specification. Based on the same idea, the present specification also provides a corresponding vehicle thermal power integration virtual simulation evaluation device, as shown in Figure 3 .

[0068] Figure 3 is a schematic diagram of a vehicle thermal power integration virtual simulation evaluation device provided by the present specification, and specifically includes: The construction module 400 is configured to import the preset vehicle data into the virtual simulation software to construct a vehicle model. The building module 402 is configured to build a thermal domain module, a power domain module, a control domain module and an evaluation domain module of the vehicle according to the vehicle model; The running module 404 is configured to run the vehicle model in the virtual simulation software according to a preset running condition, and determine data generated by the thermal domain module and data generated by the power domain module during running of the vehicle model; The control module 406 is configured to input the data generated by the thermal domain module and the data generated by the power domain module into the control domain module, and return a control strategy to the thermal domain module and the power domain module by the control domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy; The evaluation module 408 is configured to input the data generated by the thermal domain module, the data generated by the power domain module and the control strategy into the evaluation domain module, and determine a running evaluation result during running of the vehicle model.

[0069] The specification also provides a computer readable storage medium storing a computer program, and the computer program can be used to execute the above Figure 1 The specification also provides a vehicle thermal power integration virtual simulation evaluation method.

[0070] The specification also provides a computer program product. Figure 4 The schematic structural diagram of the electronic device is shown. As shown in the figure, Figure 4 At the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory and a non-volatile memory, and of course can also include other hardware required by the business. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs to realize the above Figure 1 The vehicle thermal power integration virtual simulation evaluation method.

[0071] Of course, in addition to the software implementation, the specification does not exclude other implementation manners, such as logic devices or software and hardware combined manner, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but also can be hardware or logic device.

[0072] Each embodiment in the specification is described in a progressive manner, and the same and similar parts of each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments. Especially for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the part of the method embodiment.

[0073] The above merely provides the example of the present application, but does not serve to limit the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application should be included in the scope of claims of the present application.

Claims

1. A method for virtual simulation evaluation of vehicle thermal power integration, characterized in that, The application relates to a vehicle model evaluation method and device. The preset vehicle data is introduced into virtual simulation software to build a vehicle model; According to the vehicle model, a thermal domain module, a power domain module, a control domain module and an evaluation domain module of the vehicle are built; the thermal domain module comprises a battery thermal model, a motor thermal model and an air conditioning system thermal model; the power domain module comprises an equivalent circuit model and a permanent magnet synchronous motor model; the control domain module comprises a vehicle energy management strategy controller, a thermal management controller, a cabin temperature control strategy controller, a motor electric control strategy controller and a vehicle torque strategy controller; According to preset operation conditions, the vehicle model is run in the virtual simulation software, and data generated by the thermal domain module and data generated by the power domain module during the running of the vehicle model are determined; the data generated by the thermal domain module comprises battery heat generation and temperature field distribution data generated by the battery thermal model, motor stator or rotor temperature generated by the motor thermal model and air conditioning system dynamic data generated by the air conditioning system thermal model; the data generated by the power domain comprises battery charging and discharging data generated by the equivalent circuit model, motor output power and efficiency generated by the permanent magnet synchronous motor model and an efficiency MAP corresponding to the control domain module; The data generated by the thermal domain module and the data generated by the power domain module are input into the control domain module, the control domain module returns a control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy; The data generated by the thermal domain module, the data generated by the power domain module and the control strategy are input into the evaluation domain module; the evaluation domain module determines the battery maximum temperature and the motor magnetic steel demagnetization risk index according to the battery heat generation and temperature field distribution data, determines the motor winding peak temperature according to the motor stator or rotor temperature, determines the cabin steady-state temperature difference, defrosting standard time and air conditioning system performance coefficient according to the air conditioning system dynamic data, determines the vehicle model's 100-kilometer electricity consumption data according to the battery charging and discharging data, determines the battery cycle life loss percentage data according to the motor output power and efficiency, determines the waste heat recovery contribution rate according to the efficiency MAP corresponding to the control domain module, and determines the configuration parameters of each model in the thermal domain module and the power domain module according to the control strategy, and determines the running cost of the vehicle model according to the configuration parameters.

2. The method of claim 1, wherein, The evaluation domain module is in communication connection with the thermal domain module, the power domain module and the control domain module respectively; the thermal domain module, the power domain module and the control domain module are in mutual communication connection.

3. A vehicle thermal power integration virtual simulation evaluation device, characterized by, The application relates to a vehicle model evaluation method and device. The application relates to a vehicle model evaluation method and device. The building module is configured to build a thermal domain module, a power domain module, a control domain module and an evaluation domain module of a vehicle according to the vehicle model; the thermal domain module comprises a battery thermal model, a motor thermal model and an air conditioning system thermal model; the power domain module comprises an equivalent circuit model and a permanent magnet synchronous motor model; the control domain module comprises a vehicle energy management strategy controller, a thermal management controller, a cabin temperature control strategy controller, a motor electric control strategy controller and a vehicle torque strategy controller; The running module is configured to run the vehicle model in the virtual simulation software according to a preset running condition, and determine data generated by the thermal domain module and data generated by the power domain module during running of the vehicle model; the data generated by the thermal domain module comprises battery heat generation and temperature field distribution data generated by the battery thermal model, motor stator or rotor temperature generated by the motor thermal model and air conditioning system dynamic data generated by the air conditioning system thermal model; the data generated by the power domain comprises battery charge and discharge data generated by the equivalent circuit model, motor output power and efficiency generated by the permanent magnet synchronous motor model and efficiency MAP corresponding to the control domain module; The control module is configured to input the data generated by the thermal domain module and the data generated by the power domain module into the control domain module, and return a control strategy to the thermal domain module and the power domain module, so that the thermal domain module and the power domain module run the vehicle model according to the control strategy; The evaluation module is configured to input the data generated by the thermal domain module, the data generated by the power domain module and the control strategy into the evaluation domain module; the evaluation domain module determines a battery maximum temperature and a motor magnetic steel demagnetization risk index according to the battery heat generation and temperature field distribution data, determines a motor winding peak temperature according to the motor stator or rotor temperature, determines a cabin steady-state temperature difference, a defrost standard time and an air conditioning system performance coefficient according to the air conditioning system dynamic data, determines a vehicle model 100-kilometer electricity consumption data according to the battery charge and discharge data, determines a battery cycle life loss percentage data according to the motor output power and efficiency, determines a waste heat recovery contribution rate according to the efficiency MAP corresponding to the control domain module, and determines configuration parameters of each model in the thermal domain module and the power domain module according to the control strategy, and determines a running cost of the vehicle model according to the configuration parameters.

4. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is executed by the processor to implement the method in any one of claims 1-2.

5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the method in any one of claims 1-2.

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