Thermal management simulation analysis method and system for hybrid off-road vehicle

Abstract

The invention relates to the technical field of vehicle simulation, and particularly discloses a thermal management simulation analysis method and system for a hybrid off-road vehicle type, and the method comprises the steps: obtaining historical working condition information of the off-road vehicle type in different off-road scenes, the historical working condition information at least comprises environment parameter information and test parameter information under different working conditions, and the test parameter information is obtained; defining off-road working condition parameters of the whole vehicle based on historical working condition information, obtaining whole vehicle parameter information of the off-road vehicle type, building a corresponding simulation analysis model integrated by a dynamic property model and a thermal management model based on the whole vehicle parameter information, and inputting the off-road working condition parameters into the simulation analysis model to obtain simulation result information, whether the temperature of each component of the vehicle under different cross-country classification levels is smaller than a preset critical temperature is judged based on simulation result information, the simulation method can objectively evaluate whether the capacity of the whole vehicle power thermal management system meets the cross-country requirement, and key indexes of the whole vehicle thermal system are determined from objective data. And evaluation and optimization of the cross-country ability of the whole vehicle are facilitated.

Description

Technical Field

[0001] The present application relates to the field of vehicle simulation technology, and in particular to a thermal management simulation analysis method and system for a hybrid off-road vehicle. Background Art

[0002] Outdoor off-road driving is becoming more and more popular and attracting more attention. As a fast-growing segment in the automotive industry, off-road vehicles are facing more opportunities and challenges. For off-road vehicles, off-road driving is very common, which means driving off the road, such as rugged mud, sand, and dangerous hillsides. In addition to the significant difference in appearance from traditional models, the vehicle's power system and thermal system also affect the vehicle's off-road capabilities. For example, when off-road players experience the desert ramp scene, first the vehicle's power system output power must be greater than the various resistances of the scene to complete the working condition. The stronger the power and the faster the ramp speed, the better the player experience. However, to ensure sufficient power output, one of the key performances is the vehicle's thermal management performance, which is to ensure that the engine, battery pack, and motor will not be unable to output the required power due to temperature torque limitation. Therefore, when developing off-road capabilities for vehicles, it is necessary to objectively match and analyze the thermal management performance of off-road conditions to evaluate the vehicle's off-road level.

[0003] In the relevant technologies, most thermal management simulation and analysis methods are used for general hybrid vehicles and pure electric vehicles. However, for hybrid off-road vehicles, different off-road conditions need to be considered, and different performance requirements are required in different off-road conditions. At the same time, range extension and battery pack discharge control also need to be considered. Therefore, most traditional thermal management simulation and analysis methods are not applicable to hybrid off-road vehicles, and cannot make up for the current OEMs' reliance on actual special road test data such as sand slope rushing and sand tip pushing blades to guide the development of thermal management performance. Summary of the invention

[0004] The present application aims to solve the problem that in the prior art, there is no corresponding thermal management simulation analysis method for hybrid off-road vehicles, and the development of thermal management performance can only rely on actual special road test data such as sand slope rushing and sand tip pushing blade, based on this, a thermal management simulation analysis method and system for hybrid off-road vehicles are proposed.

[0005] In order to achieve the above objectives, in a first aspect, the present application provides a thermal management simulation analysis method for a hybrid off-road vehicle, comprising:

[0006] Acquire historical operating condition information of an off-road vehicle under different off-road scenarios, wherein the historical operating condition information at least includes environmental parameter information and test parameter information under different operating conditions;

[0007] Based on the historical operating condition information, off-road operating condition parameters of the whole vehicle are defined, where the off-road operating condition parameters are used to characterize the definition of ambient temperature, vehicle settings, mileage, and test weight under different off-road classification levels;

[0008] Obtaining vehicle parameter information of an off-road vehicle, and building a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the vehicle parameter information;

[0009] The off-road operating condition parameters are input into the simulation analysis model to obtain simulation result information, and based on the simulation result information, it is determined whether the temperature of each component of the vehicle at different off-road classification levels is less than a preset critical temperature.

[0010] In some possible embodiments, the step of obtaining the whole vehicle parameter information of the off-road vehicle and building a corresponding simulation analysis model integrating the dynamic model and the thermal management model based on the whole vehicle parameter information includes:

[0011] The vehicle parameter information includes vehicle weight, wind resistance, tire parameters, battery pack parameters, electric drive parameters, electronic control parameters, air conditioning system parameters, variable speed drive parameters and engine parameters.

[0012] In some possible embodiments, the whole vehicle parameter information of the off-road vehicle is obtained, and a corresponding simulation analysis model integrating a dynamic model and a thermal management model is built based on the whole vehicle parameter information. The thermal management model building process includes:

[0013] According to the battery pack parameters, the electric drive parameters, the electronic control parameters, the variable speed box parameters and the engine parameters, sub-models including the electric drive, the battery pack, the engine and the engine cooling circuit are respectively constructed; and

[0014] An air conditioning loop sub-model, the cooling loop sub-model and the air conditioning loop sub-model are constructed according to the air conditioning system parameters.

[0015] In some possible embodiments, the process of building each sub-model includes:

[0016] Obtain component bench performance data and component geometric parameters, and build component simulation sub-models;

[0017] Benchmarking the simulation results of the component simulation sub-model based on the measured data to determine whether the benchmarking error value meets a first preset error, wherein the first preset error is used to indicate whether the comparison error between the simulation data of the component simulation sub-model and the bench test data is within a preset range;

[0018] If not, the component simulation sub-model including the exponents of the Reynolds number and the Prandtl number in the convective heat transfer correlation equation is optimized and adjusted, and the simulation test is repeated.

[0019] In some possible embodiments, according to the battery pack parameters, the electric drive parameters, the electronic control parameters, the variable speed box parameters and the engine parameters, sub-models including the electric drive, the battery pack, the engine and the engine cooling circuit are respectively constructed, including:

[0020] Each cooling circuit sub-model is constructed including a corresponding heat transfer model and a water temperature heat transfer process model, wherein the water temperature heat transfer process model includes heat conduction, convection heat transfer and radiation heat transfer.

[0021] In some possible embodiments, each cooling circuit sub-model includes a corresponding heat transfer model and a water temperature heat transfer process model, wherein the water temperature heat transfer process model includes heat conduction, convection and radiation, including:

[0022] The heat conduction expression is: φconduction=coeff·ΔT,

[0023] Where ΔT is the temperature difference between the corresponding component temperature and the coolant temperature, coeff is the heat transfer coefficient between the corresponding component and the coolant,

[0024] The convective heat transfer includes forced convective heat transfer and natural convective heat transfer.

[0025] In some possible embodiments, the off-road operating condition parameters are input into the simulation analysis model to obtain simulation result information, and judging whether the temperature of each component of the vehicle under different off-road classifications is less than a preset critical temperature based on the simulation result information includes:

[0026] According to the simulation result information, determine whether the engine water temperature, electric drive inlet water temperature, range extender winding temperature, electric drive winding temperature, DCDC body temperature, ADCU inlet water temperature and LTR heat dissipation corresponding to each off-road classification are all less than the preset critical temperature;

[0027] If both are lower than the preset critical temperature, the cooling performance requirements are met at this off-road classification level.

[0028] Compared with the prior art, the technical solution provided by the embodiment of the present application includes at least the following beneficial effects or advantages:

[0029] 1) The method of the present application is aimed at the thermal management simulation analysis of hybrid off-road vehicles. It refines the off-road grade classification and defines each off-road working condition of the whole vehicle in combination with historical working condition data. At the same time, in building the simulation model, a simulation analysis model integrating the corresponding dynamic model and the thermal management model is built; at the same time, the thermal management model includes the electric drive, battery pack, engine and multiple cooling circuit sub-models of the engine, and the heat conduction + convection heat transfer + radiation heat transfer heat transfer process model is fully considered, so that the simulation result is more accurate. At the same time, when building each component simulation sub-model, a benchmark judgment is performed to control the comparison error between the simulation data of the component simulation sub-model and the bench test data within a preset range, thereby further reducing the simulation error. At the same time, there is no need to rely on actual special road test data such as sand slope rushing, sand tip pushing blade, etc. to guide the development of thermal management performance. It can objectively evaluate whether the vehicle power thermal management system capability meets the off-road requirements, and determine the key indicators of the vehicle thermal system from objective data, which is conducive to the evaluation and optimization of the vehicle's off-road capability.

[0030] In a second aspect, the present application provides a thermal management simulation analysis system for a hybrid off-road vehicle, comprising:

[0031] A first acquisition module is configured to acquire historical operating condition information of an off-road vehicle under different off-road scenarios, wherein the historical operating condition information at least includes environmental parameter information and test parameter information under different operating conditions;

[0032] An off-road grade definition module is configured to define off-road operating condition parameters of the vehicle based on the historical operating condition information, wherein the off-road operating condition parameters are used to characterize the definition of ambient temperature, vehicle settings, mileage, and test weight under different off-road classification levels;

[0033] The second acquisition module is configured to obtain vehicle parameter information of the off-road vehicle, wherein the vehicle parameter information includes vehicle weight, wind resistance, tire parameters, battery pack parameters, electric drive parameters, electronic control parameters, air-conditioning system parameters, variable transmission parameters and engine parameters.

[0034] A model creation module is configured to build a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the vehicle parameter information;

[0035] The simulation module is configured to input the off-road operating condition parameters into the simulation analysis model to obtain simulation result information, and determine whether the temperature of each component of the vehicle under different off-road classification levels is less than a preset critical temperature based on the simulation result information.

[0036] In a third aspect, the present application further provides an electronic device, including:

[0037] at least one processor; and

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of the thermal management simulation analysis method of a hybrid off-road vehicle type provided in the first aspect above.

[0040] In a fourth aspect, the present application further provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the steps of the thermal management simulation analysis method for a hybrid off-road vehicle provided in the first aspect above.

[0041] It can be understood that the beneficial effects of the technical solutions provided in the second, third and fourth aspects can be found in the relevant description of the first aspect, and will not be repeated here.

[0042] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 is a flow chart of a thermal management simulation analysis method for a hybrid off-road vehicle according to an embodiment of the present application;

[0045] Figure 2 is a flow chart for building an air conditioning circuit simulation model according to an embodiment of the present application;

[0046] Figure 3 is a simulation result diagram of a thermal management simulation method for a hybrid off-road vehicle according to an embodiment of the present application;

[0047] Figure 4 is a block diagram of a thermal management simulation and analysis system for a hybrid off-road vehicle according to an embodiment of the present application;

[0048] Figure 5 It is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0049] The embodiments of the present application are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0050] It should be noted that, unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present application. The terms used herein in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0051] See also Figures 1 to 3 This embodiment provides a thermal management simulation analysis method for a hybrid off-road vehicle, the method comprising:

[0052] Step S100: Acquire historical operating condition information of the off-road vehicle model in different off-road scenarios, wherein the historical operating condition information at least includes environmental parameter information and test parameter information under different operating conditions;

[0053] In this step, it should be noted that the method provided in this embodiment is aimed at current new energy hybrid off-road vehicle models. Although there are simulation methods on the market to analyze vehicle thermal management, they are basically used for general hybrid vehicles and pure electric vehicles. For hybrid off-road vehicles, due to the particularity of hybrid off-road vehicles, for example, more extreme driving environments need to be considered, such as rugged mud, sand and dangerous slopes, etc., and the appearance is quite different from traditional models. In order to meet the driving experience of off-road users, off-road driving modes also have more classifications.

[0054] In order to meet the design requirements, for example, when an off-road player is experiencing a desert slope rushing scene, first of all, the power output of the car's power system must be greater than the various resistances of the scene to complete the working condition. The stronger the power and the faster the slope rushing speed, the better the player experience. However, to ensure sufficient power output, one of the key performances is the thermal management performance of the entire vehicle, which is to ensure that the engine, battery pack, and motor will not be unable to output the required power due to temperature torque limitations. Therefore, in the development of off-road capabilities of automobiles, it is necessary to objectively match and analyze the thermal management performance of off-road conditions to evaluate the off-road level of the entire vehicle. The method provided in this embodiment achieves efficient and objective matching and analysis of the thermal management performance of off-road conditions to evaluate the off-road level of the entire vehicle.

[0055] Optionally, historical operating condition information can be based on road condition analysis and statistics of global users in off-road scenarios. Environmental parameter information may include ambient temperature and slope information. Due to large errors in different regions or countries, the ambient temperature can be selected according to actual needs. For example, the ambient temperature can also be divided into tropical markets and non-tropical markets. For slope information, it can be divided into three types according to the frequency of user off-road driving at different slopes. Slopes below 17% are represented by 17%, 17% to 21% are represented by 21%, and 21% to 25% and long-term maximum slope driving above 25% are all represented by 25%. Of course, it can also be divided according to other forms, and the specific selection should be made according to actual needs.

[0056] Optionally, the test parameter information may include general parameters under different off-road environments, such as vehicle speed, air-conditioning system power, test mileage and test weight. The test weight refers to the off-road performance test mass, which is equal to the curb weight + the driver mass. Of course, depending on the off-road level, in a high-performance state, that is, pursuing the ultimate performance of the vehicle, no load is required. The test weight may need to be set according to different vehicle models, and there is no restriction here.

[0057] Step S200: Based on the historical operating condition information, off-road operating condition parameters of the vehicle are defined, where the off-road operating condition parameters are used to characterize the definition of ambient temperature, vehicle settings, mileage, and test weight under different off-road classification levels;

[0058] In this step, the off-road operating condition parameters of the hybrid off-road vehicle are defined according to the acquired historical operating condition information, so as to facilitate the data input of the simulation test of the subsequent construction of the simulation model. For example, the off-road operating condition definition of a hybrid vehicle can be as shown in Table 1.

[0059] Table 1 is the definition of the operating conditions of a hybrid off-road vehicle

[0060]

[0061] It is understandable that the off-road classification represents the following meanings: Explorer -> Radical Player, which represent different off-road levels, namely, light off-road -> deep off-road, to express the degree of extreme driving of the vehicle on unpaved roads, or the degree of demand for the extreme performance of the vehicle by different users, and to represent user characteristics, such as: Explorer: users have light off-road needs, such as exploring around normal roads, and short-term trial driving on unfinished non-paved roads; Radical Player: users go deep off-road, such as driving on completely unpaved roads such as deserts, Gobi, mud, and no-man's land, and challenging the vehicle's extreme performance;

[0062] It should be noted that the N / A in the table represents that the definition of the ambient temperature of the off-road level "Discoverer" in the tropical market depends on the project definition and is not specifically specified, generally ≤35℃; Test quality: Here refers to the off-road performance test quality, which is equal to the curb weight + driver quality; the off-road level above "Sportsman" uses the test quality because this off-road level is extreme driving, that is, the pursuit of vehicle extreme performance, so no load is performed; the different values ​​of speed / slope / mileage in the working condition definition are based on the road condition analysis and statistics of global users in off-road scenarios. According to the frequency of users' off-road driving at different slopes, it is divided into three types. The slope below 17% is represented by 17%, 17% to 21% is represented by 21%, and 21% to 25% and above 25% are represented by 25% for long-term maximum slope driving. The distinction between mileage and speed in the table is also to reflect the different off-road performance of vehicles. For example, some vehicles have no problem with cooling performance when running 30km, but the engine water temperature and transmission oil temperature will be overheated when running next. It is not just cooling, of course, there are other performance problems, such as component fatigue and durability.

[0063] Step S300: obtaining vehicle parameter information of an off-road vehicle, and building a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the vehicle parameter information;

[0064] In this step, obtaining the vehicle parameter information of the off-road vehicle can simulate the creation of the initial model. The vehicle parameter information may include vehicle weight, wind resistance, tire parameters, battery pack parameters, electric drive parameters, electronic control parameters, air-conditioning system parameters, variable transmission parameters and engine parameters.

[0065] For example, for a hybrid off-road vehicle, the vehicle weight can be: 1.5 tons to 3.5 tons; the wind resistance can be: 0.2 to 0.4; the tire parameters are mainly the tire rolling radius, which is generally around 0.3 to 0.5; the battery pack parameters include heat capacity, mass, module, heat transfer resistance, OCV~SOC curve, power~temperature curve, internal resistance~temperature~SOC curve, HPPC (Hybrid Pulse Power Characteristic) is the pulse charge and discharge performance curve of the power battery. It is understandable that there are many parameters and they are different for different vehicle models. The specific selection should be made according to actual needs. The electric drive parameters include heat capacity, mass, thermal conductivity, heat transfer structure, flow resistance characteristics, etc.; the electronic control parameters are the same as the electric drive; the air-conditioning system parameters include condenser structure parameters and heat exchange performance parameters, evaporator structure parameters and heat exchange performance parameters, compressor efficiency pressure ratio and other parameters, thermal expansion valve four-quadrant parameters, flow and pressure parameters of the electronic expansion valve stepper motor at different openings, etc.; the engine parameters are mainly external characteristics, displacement, cylinder block and cylinder head mass, heat capacity, thermal conductivity, heat transfer area with water jacket, water jacket volume, thermal efficiency MAP, etc.

[0066] Optionally, after obtaining the whole vehicle parameter information, a corresponding simulation analysis model integrating the power integration model and the thermal management model is built based on the whole vehicle parameter information, wherein in building the power integration model, the driver, vehicle, engine, battery, motor, gearbox and reducer and related strategies are mainly considered, for example, driver: working condition definition + torque, acceleration, braking and gear control; vehicle: friction resistance + windward resistance + ramp resistance + air conditioning power, etc.; engine: displacement + type + external characteristics + control method, battery: power + number of series and parallel connections + type + OCV~SOC curve, etc., for motor: electronic control + motor continuous external characteristics + peak external characteristics + efficiency MAP, etc., gearbox and reducer: gearbox ratio + efficiency + shift MAP, etc., strategy: power distribution + energy recovery. It should be noted that the accuracy of model simulation can be further improved through the above-mentioned refined modeling.

[0067] In some embodiments, building a thermal management model mainly includes building electric drive, battery pack, engine and engine cooling circuit sub-models according to battery pack parameters, electric drive parameters, electronic control parameters, gearbox parameters and engine parameters, and building an air-conditioning circuit sub-model, a cooling circuit sub-model and an air-conditioning circuit sub-model according to air-conditioning system parameters. For the electric drive cooling circuit, the main considerations are: motor heat transfer + electronic control heat transfer + power supply three-in-one heat transfer; for the battery pack cooling circuit, the main considerations are: battery + battery cell to coolant or refrigerant heat transfer process, for the engine cooling circuit: engine thermal model + heat transfer process; for the gearbox cooling circuit: gearbox thermal model + heat transfer process, for the air-conditioning circuit: condenser + evaporator + compressor + expansion valve + chiller.

[0068] Optional, combined Figure 2 As shown in the figure, taking the air-conditioning system modeling as an example, a chiller model, a condenser model, an evaporator model, an air-conditioning system control model and a passenger compartment model are created respectively. In the process of creating a single model, a component simulation sub-model is built by obtaining the component bench performance data and the part geometric parameters; the simulation results of the component simulation sub-model are benchmarked based on the measured data to determine whether the benchmarking error value meets the first preset error, and the first preset error is used to indicate whether the comparison error between the simulation data of the component simulation sub-model and the bench test data is within a preset range; if not, the exponents of the Reynolds number and the Prandtl number in the convective heat transfer correlation of the component simulation sub-model are optimized and adjusted, and the simulation test is performed again.

[0069] Optionally, after building the component models, assemble them into an air-conditioning system model, and then perform simulation tests on the single system to determine whether the complete system model meets the benchmark error value. The control strategy of a single system, such as an air-conditioning system, includes the expansion valve control strategy, the compressor control strategy, etc. The condition for meeting the requirement can be whether the error is within 5% compared with the bench test data. At the same time, it should be noted that the optimization model parameters depend on the components. Generally speaking, the exponents of the Reynolds number and the Prandtl number in the convective heat transfer correlation are adjusted;

[0070] In some embodiments, the heat transfer process and heat transfer model for the battery pack water temperature, electric drive, and engine water temperature are basically similar. Taking the electric drive as an example, the heat transfer process model includes (also three types of heat transfer): heat conduction + convection heat transfer + radiation heat transfer. First, the heat capacity model, such as the motor, its stator winding temperature calculation, the temperature is calculated based on its derivative with respect to time, and is considered to be uniform in the solid mass involved, that is:

[0071]

[0072] Among them, Qin is the input heat flow rate, Qout is the output heat flow rate, m is the mass of the motor, and cp is the specific heat capacity of the motor material.

[0073] The thermal conduction expression is: φconduction=coeffΔT;

[0074] Among them, ΔT is the temperature difference between the two motor temperatures and the coolant, and coeff is the heat transfer coefficient between the motor and the coolant. It can be understood that different heat transfer models have different coefficient calculation formulas, which are related to the cooling water jacket structure, etc. The following example is not detailed: (thermal resistance = 1 / coeff)

[0075] For example, the expression for contact thermal resistance is: φcontact=G·A·(T1-T2)

[0076] The linear thermal conductivity expression is:

[0077] The heat transfer and conduction expression of cylindrical cylinder is:

[0078]

[0079] As for the convection heat transfer part, it is mainly forced convection heat transfer or natural convection heat transfer.

[0080] Step S400: inputting off-road operating condition parameters into the simulation analysis model to obtain simulation result information, and judging whether the temperature of each component of the vehicle at different off-road classification levels is less than a preset critical temperature based on the simulation result information.

[0081] In this step, after the simulation analysis model is built, the off-road operating condition parameters are input into the simulation analysis model to obtain the simulation result information. According to the simulation result information, it is determined whether the engine water temperature, electric drive inlet water temperature, electric drive winding temperature, DCDC body temperature, ADCU inlet water temperature and LTR heat dissipation corresponding to each off-road classification are all less than the preset critical temperature. If they are all less than the preset critical temperature, the cooling performance requirements are met at the off-road classification level. If a parameter is not met at a certain off-road state level, the parameter optimization design is performed, and the model after the optimized parameters is simulated and tested again.

[0082] Combination Figure 3 As shown, taking a certain hybrid off-road vehicle type as an example, after the above method steps, a simulation result curve graph of a certain off-road state level is obtained. Through the simulation result curve graph, it can be seen whether the engine water temperature, electric drive inlet water temperature, electric drive winding temperature, DCDC body temperature, ADCU inlet water temperature and LTR heat dissipation are all less than the preset critical temperature. The critical temperature can be set according to actual needs and is not limited here. For example, taking the engine water temperature as an example, the preset critical temperature can be 112°C, and the preset critical temperature of the range extender winding can be 150°C.

[0083] It can be understood that the above method steps are aimed at the thermal management simulation analysis of hybrid off-road vehicles. By refining the off-road level classification and combining the historical working condition data, each off-road working condition of the whole vehicle is defined. At the same time, in building the simulation model, a simulation analysis model integrating the corresponding dynamic model and the thermal management model is built; at the same time, the thermal management model includes the electric drive, battery pack, engine and multiple cooling circuit sub-models of the engine, and the heat conduction + convection heat transfer + radiation heat transfer process model is fully considered, so that the simulation result is more accurate. At the same time, when building each component simulation sub-model, a benchmark judgment is performed to control the comparison error between the simulation data of the component simulation sub-model and the bench test data within a preset range, thereby further reducing the simulation error. At the same time, there is no need to rely on actual special road test data such as sand slope rushing and sand tip pushing blade to guide the development of thermal management performance. It can objectively evaluate whether the vehicle power thermal management system capabilities meet off-road requirements, and determine the key indicators of the vehicle thermal system from objective data, which is conducive to the evaluation and optimization of the vehicle's off-road capabilities.

[0084] See also Figure 4 , Figure 4 A thermal management simulation analysis system 200 for a hybrid off-road vehicle provided in this embodiment is shown, comprising:

[0085] A first acquisition module 210 is configured to acquire historical operating condition information of an off-road vehicle under different off-road scenarios, wherein the historical operating condition information at least includes environmental parameter information and test parameter information under different operating conditions;

[0086] The off-road level definition module 220 is configured to define off-road operating condition parameters of the vehicle based on the historical operating condition information, wherein the off-road operating condition parameters are used to characterize the definition of ambient temperature, vehicle settings, mileage, and test weight under different off-road classification levels;

[0087] The second acquisition module 230 is configured to obtain vehicle parameter information of the off-road vehicle, wherein the vehicle parameter information includes vehicle weight, wind resistance, tire parameters, battery pack parameters, electric drive parameters, electronic control parameters, air conditioning system parameters, variable transmission parameters and engine parameters.

[0088] A model creation module 240 is configured to build a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the vehicle parameter information;

[0089] The simulation module 250 is configured to input the off-road operating condition parameters into the simulation analysis model to obtain simulation result information, and determine whether the temperature of each component of the vehicle under different off-road classification levels is less than a preset critical temperature based on the simulation result information.

[0090] It can be understood that when the thermal management simulation analysis system 200 of a hybrid off-road vehicle in this embodiment is implemented, each module runs the above Figures 1 to 3 The steps of the thermal management simulation analysis method of a hybrid off-road vehicle in the corresponding embodiment, and the technical effects that can be achieved can be referred to the above Figures 1 to 3 The description of the technical effects achieved in the corresponding embodiments will not be repeated here.

[0091] See also Figure 5 , Figure 5 5 is a block diagram of an electronic device provided in an embodiment of the present application. The server 500 of the electronic device includes: a processor 501, a memory 502, and a computer program 503 stored in the memory 502 and executable on the processor 501, such as a program for a thermal management simulation analysis method for a hybrid off-road vehicle. When the processor 501 executes the computer program 503, the steps of the thermal management simulation analysis method for a hybrid off-road vehicle in the above-mentioned embodiments are implemented, such as Figure 1 The corresponding embodiment of the step S100 to step S400. Alternatively, the processor 501 executes the computer program 503 to implement the above Figure 4 The functions of each module in the corresponding embodiment are, for example, Figure 4 For details on the functions of the modules shown (eg, the first acquisition module 210), please refer to Figure 5 The relevant descriptions in the corresponding embodiments are not repeated here.

[0092] Exemplarily, the computer program 503 may be divided into one or more units, one or more units are stored in the memory 502, and are executed by the processor 501 to complete the technical solution provided in the above embodiment. One or more units may be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program 503 in the server 500.

[0093] The electronic device may include, but is not limited to, a processor 501 and a memory 502. Those skilled in the art will appreciate that Figure 5 It is only an example of the server 500 in the electronic device and does not constitute a limitation of the server 500. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the turntable terminal device may also include an input and output terminal device, a network access terminal device, a bus, etc.

[0094] The processor 501 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0095] The memory 502 may be an internal storage unit of the server 500, such as a hard disk or memory of the server 500. The memory 502 may also be an external storage terminal device of the server 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the server 500. Further, the memory 502 may also include both an internal storage unit of the server 500 and an external storage terminal device. The memory 502 is used to store computer programs and other programs and data required by the turntable terminal device. The memory 502 may also be used to temporarily store data that has been output or is to be output.

[0096] In some embodiments, a computer-readable storage medium is also provided, which stores a computer program. When the computer program is executed by a processor, the steps of the thermal management simulation analysis method of the hybrid off-road vehicle model as described in the above embodiment are implemented.

[0097] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0098] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Among them, the computer-readable storage medium can be non-volatile or volatile. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0099] The terms "first", "second", "third", etc. in the specification and claims of the present application and the drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a series of steps or units are included, or optionally, steps or units not listed are included, or optionally, other steps or units inherent to these processes, methods, products or devices are included.

[0100] Only the part relevant to the present application but not all content is shown in the accompanying drawings.Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processing or methods described as flow charts.Although flow charts describe various operations (or steps) as sequential processing, many operations therein can be implemented in parallel, concurrently or simultaneously.In addition, the order of various operations can be rearranged.Described processing can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings.Described processing can correspond to method, function, procedure, subroutine, subprogram etc.

[0101] As used in this specification, the terms "component", "module", "system", "unit", etc. are used to represent computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a unit can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or distributed between two or more computers. In addition, these units can be executed from various computer-readable media having various data structures stored thereon. Units can communicate through local and / or remote processes, for example, based on signals having one or more data packets (e.g., data from a second unit interacting with another unit in a local system, a distributed system, and / or a network. For example, the Internet interacts with other systems via signals).

[0102] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example.

[0103] Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Mentioning "embodiment" in this article means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present embodiment application. The appearance of this phrase in various positions in the specification is not necessarily the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It can be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0104] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.

[0105] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the disclosure disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

Claims

1. A thermal management simulation analysis method for a hybrid off-road vehicle, characterized in that: include: Acquire historical operating condition information of an off-road vehicle under different off-road scenarios, wherein the historical operating condition information at least includes environmental parameter information and test parameter information under different operating conditions; Based on the historical operating condition information, off-road operating condition parameters of the whole vehicle are defined, where the off-road operating condition parameters are used to characterize the definition of ambient temperature, vehicle settings, mileage, and test weight under different off-road classification levels; Obtaining vehicle parameter information of an off-road vehicle, and building a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the vehicle parameter information; The off-road operating condition parameters are input into the simulation analysis model to obtain simulation result information, and based on the simulation result information, it is determined whether the temperature of each component of the vehicle at different off-road classification levels is less than a preset critical temperature.

2. The thermal management simulation analysis method for a hybrid off-road vehicle according to claim 1 is characterized in that: The step of obtaining the whole vehicle parameter information of the off-road vehicle and building a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the whole vehicle parameter information includes: The vehicle parameter information includes vehicle weight, wind resistance, tire parameters, battery pack parameters, electric drive parameters, electronic control parameters, air conditioning system parameters, variable speed drive parameters and engine parameters.

3. The thermal management simulation analysis method of a hybrid off-road vehicle according to claim 2, characterized in that: The whole vehicle parameter information of the off-road vehicle is obtained, and a corresponding simulation analysis model integrating a dynamic model and a thermal management model is built based on the whole vehicle parameter information. The thermal management model building process includes: According to the battery pack parameters, the electric drive parameters, the electronic control parameters, the variable speed box parameters and the engine parameters, sub-models including the electric drive, the battery pack, the engine and the engine cooling circuit are respectively constructed; and An air conditioning loop sub-model, the cooling loop sub-model and the air conditioning loop sub-model are constructed according to the air conditioning system parameters.

4. The thermal management simulation analysis method for a hybrid off-road vehicle according to claim 3 is characterized in that: The process of building each sub-model includes: Obtain component bench performance data and component geometric parameters, and build component simulation sub-models; Benchmarking the simulation results of the component simulation sub-model based on the measured data to determine whether the benchmarking error value meets a first preset error, wherein the first preset error is used to indicate whether the comparison error between the simulation data of the component simulation sub-model and the bench test data is within a preset range; If not, the component simulation sub-model including the exponents of the Reynolds number and the Prandtl number in the convective heat transfer correlation equation is optimized and adjusted, and the simulation test is repeated.

5. The thermal management simulation analysis method for a hybrid off-road vehicle according to claim 3 is characterized in that: According to the battery pack parameters, the electric drive parameters, the electronic control parameters, the variable speed box parameters and the engine parameters, sub-models including the electric drive, the battery pack, the engine and the engine cooling circuit are respectively constructed, including: Each cooling circuit sub-model is constructed including a corresponding heat transfer model and a water temperature heat transfer process model, wherein the water temperature heat transfer process model includes heat conduction, convection heat transfer and radiation heat transfer.

6. The thermal management simulation analysis method for a hybrid off-road vehicle according to claim 5, characterized in that: Each cooling circuit sub-model includes a corresponding heat transfer model and a water temperature heat transfer process model. The water temperature heat transfer process model includes heat conduction, convection and radiation, including: The thermal conductivity expression is: , Where ΔT is the temperature difference between the corresponding component temperature and the coolant temperature, coeff is the heat transfer coefficient between the corresponding component and the coolant, The convective heat transfer includes forced convective heat transfer and natural convective heat transfer.

7. The thermal management simulation analysis method for a hybrid off-road vehicle according to claim 1, characterized in that: Inputting the off-road operating condition parameters into the simulation analysis model to obtain simulation result information, and judging whether the temperature of each component of the vehicle under different off-road classifications is less than a preset critical temperature based on the simulation result information, including: According to the simulation result information, determine whether the engine water temperature, electric drive inlet water temperature, range extender winding temperature, electric drive winding temperature, DCDC body temperature, ADCU inlet water temperature and LTR heat dissipation corresponding to each off-road classification are all less than the preset critical temperature; If both are lower than the preset critical temperature, the cooling performance requirements are met at this off-road classification level.

8. A thermal management simulation analysis system for a hybrid off-road vehicle, characterized in that: include: A first acquisition module is configured to acquire historical operating condition information of an off-road vehicle under different off-road scenarios, wherein the historical operating condition information at least includes environmental parameter information and test parameter information under different operating conditions; An off-road grade definition module is configured to define off-road operating condition parameters of the vehicle based on the historical operating condition information, wherein the off-road operating condition parameters are used to characterize the definition of ambient temperature, vehicle settings, mileage, and test weight under different off-road classification levels; The second acquisition module is configured to obtain vehicle parameter information of the off-road vehicle, wherein the vehicle parameter information includes vehicle weight, wind resistance, tire parameters, battery pack parameters, electric drive parameters, electronic control parameters, air-conditioning system parameters, variable transmission parameters and engine parameters. A model creation module is configured to build a corresponding simulation analysis model integrating a dynamic model and a thermal management model based on the vehicle parameter information; The simulation module is configured to input the off-road operating condition parameters into the simulation analysis model to obtain simulation result information, and determine whether the temperature of each component of the vehicle under different off-road classification levels is less than a preset critical temperature based on the simulation result information.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of a thermal management simulation analysis method for a hybrid off-road vehicle according to any one of claims 1-7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the steps of a thermal management simulation analysis method for a hybrid off-road vehicle type according to any one of claims 1 to 7 are implemented.

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