Test method and test system for automobile thermal management controller

Abstract

The invention discloses a test method and test system for an automobile thermal management controller, and relates to the technical field of automobile test.The test method comprises the steps that S10, a simulation model of an automobile thermal management system is built based on an HIL rack, and the simulation model comprises a power battery thermal model and an automobile cabin thermal model; s20, inputting the automobile working condition test parameters into the simulation model, enabling the simulation model to be combined with the to-be-tested automobile thermal management controller for test operation, and outputting a test result of the test operation of the simulation model; step S30, if the test result accords with the expected result, stopping testing the automobile thermal management controller; otherwise, the control strategy of the automobile thermal management controller is adjusted until the test result accords with the expected result. According to the test method provided by the invention, the dependence on the whole vehicle and part objects in the test development of the automobile thermal management controller is effectively reduced, the test development speed of the control strategy of the automobile thermal management controller can be accelerated, and the test development period is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile testing, and in particular to a testing method and a testing system for an automobile thermal management controller. Background Art

[0002] Currently, the thermal management system for new energy vehicles primarily involves thermal management of the vehicle cabin and power battery. Typically, new energy vehicles utilize a power battery PTC (Positive Temperature Coefficient) heater to heat the power battery, and a cabin PTC and cabin air conditioning system (primarily comprising a compressor and fan) to heat or cool the cabin. These systems all operate based on the control strategy of the vehicle's thermal management controller. Therefore, the testing and development of the thermal management controller is crucial to the thermal management system of new energy vehicles.

[0003] In existing technology, the testing and development of automotive thermal management controllers primarily relies on actual road driving of the vehicle. While actual road driving can meet testing and development requirements, it is inefficient and expensive. Furthermore, real-time modification and verification of the thermal management controller's control strategy during actual vehicle testing is difficult, resulting in a long testing and development cycle. Summary of the Invention

[0004] The embodiments of the present invention provide a test method and a test system for an automobile thermal management controller, so as to solve the technical problems of low test efficiency and high test cost of the existing automobile thermal management controller in the related art.

[0005] In a first aspect, a method for testing an automotive thermal management controller is provided, comprising:

[0006] Building a simulation model of the automotive thermal management system based on the HIL test bench, the simulation model includes a power battery thermal model and a vehicle cabin thermal model;

[0007] Inputting vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested, and outputting test results of the simulation model test run;

[0008] If the test result meets the expected result, stop testing the vehicle thermal management controller; otherwise, adjust the control strategy of the vehicle thermal management controller until the test result meets the expected result.

[0009] In some embodiments, inputting the vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested, and outputting the test results of the simulation model test run includes:

[0010] Obtain multiple electrical parameters during the simulation model test run and determine whether any electrical parameter exceeds a corresponding parameter threshold;

[0011] If any electrical parameter exceeds the corresponding parameter threshold, an alarm signal is generated and the joint test operation of the simulation model and the vehicle thermal management controller to be tested is stopped.

[0012] In some embodiments, inputting the vehicle operating condition test parameters into the simulation model, causing the simulation model to perform a test run in conjunction with the vehicle thermal management controller to be tested, and outputting a test result of the simulation model test run further includes:

[0013] First, low voltage is input to the simulation model, and then high voltage is input after a preset time interval.

[0014] In some embodiments, the test results include a temperature curve of the power battery and a temperature curve of the vehicle cabin that changes with time.

[0015] In some embodiments, if the test result meets the expected result, stopping the test of the vehicle thermal management controller; otherwise, adjusting the control strategy of the vehicle thermal management controller until the test result meets the expected result includes:

[0016] The temperature curve in the test result and the temperature curve in the expected result are calculated using a preset curve similarity algorithm;

[0017] If the curve similarity value between the temperature curve in the test result and the temperature curve in the expected result reaches a set threshold, it is determined that the test result is consistent with the expected result.

[0018] In some embodiments, the power battery thermal model includes a power battery PTC module;

[0019] The automobile cabin thermal model includes a cabin PTC module, a fan module, a compressor module, an air duct module and a cabin structure module.

[0020] In some embodiments, the construction of a simulation model of an automotive thermal management system based on a HIL bench includes:

[0021] Corresponding module output parameter calculation formulas are set in the power battery PTC module, cabin PTC module, fan module, compressor module, air duct module and cabin structure module respectively.

[0022] In some embodiments, adjusting the control strategy of the vehicle thermal management controller includes:

[0023] Adjust the fan gear, compressor operation MAP, power battery PTC voltage or cabin PTC voltage.

[0024] In some embodiments, the vehicle operating condition test parameters include CLTC operating condition test parameters, WLTC operating condition test parameters, and preset custom operating condition test parameters.

[0025] In a second aspect, a test system for an automotive thermal management controller is provided, comprising:

[0026] The HIL test bench includes a connected processor, an I / O interface and an operation interface. The HIL test bench is connected to the automotive thermal management controller to be tested through the I / O interface.

[0027] The beneficial effects brought about by the technical solution provided by the present invention include:

[0028] An embodiment of the present invention provides a testing method and testing system for an automotive thermal management controller. The testing method first constructs a simulation model of the automotive thermal management system based on a HIL test bench. The simulation model includes a power battery thermal model and a vehicle cabin thermal model. Vehicle operating condition test parameters are then input into the simulation model, and the simulation model is tested and run in conjunction with the automotive thermal management controller to be tested. The test results of the simulation model test run are output. Finally, if the test results meet the expected results, the test of the automotive thermal management controller is stopped; otherwise, the control strategy of the automotive thermal management controller is adjusted until the test results meet the expected results. The embodiment of the present invention combines an actual automotive thermal management controller with a virtual automotive thermal management system simulation model to simulate the state of an actual vehicle operating under real automotive operating conditions. The control strategy of the automotive thermal management controller is verified or adjusted based on the test results, effectively reducing dependence on the physical vehicle and components, solving the technical problems of low efficiency and high testing costs of existing automotive thermal management controller tests, and can accelerate the test development speed of the control strategy of the automotive thermal management controller and shorten the test development cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 A schematic flow chart of a method for testing an automotive thermal management controller provided by an embodiment of the present invention;

[0031] Figure 2 A schematic diagram of a flow chart for implementing step S20 provided in an embodiment of the present invention;

[0032] Figure 3 A schematic diagram of a flow chart for implementing step S30 provided in an embodiment of the present invention;

[0033] Figure 4 A comparison chart showing the test results of a temperature curve of a vehicle cabin that changes over time and the expected results of a temperature curve of a vehicle cabin that changes over time provided by an embodiment of the present invention;

[0034] Figure 5 A schematic diagram of a power battery PTC module provided by an embodiment of the present invention;

[0035] Figure 6 A schematic structural diagram of a test system for an automotive thermal management controller provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0036] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0037] An embodiment of the present invention provides a method for testing an automobile thermal management controller, which can solve the technical problems of low testing efficiency and high testing cost of existing automobile thermal management controllers.

[0038] See also Figure 1 As shown, an embodiment of the present invention provides a method for testing an automotive thermal management controller, wherein the automotive thermal management controller refers to multiple controllers related to the automotive thermal management system. The testing method includes:

[0039] Step S10: constructing a simulation model of the vehicle thermal management system based on the HIL test bench, where the simulation model includes a power battery thermal model and a vehicle cabin thermal model.

[0040] Specifically, see Figure 6 As shown, the HIL test bench includes a connected processor, I / O interface and operation interface. The HIL test bench is connected to the thermal management controller of the vehicle to be tested through the I / O interface. The staff can build a simulation model of the vehicle thermal management system through the operation interface. The simulation model includes a power battery thermal model and a car cabin thermal model, which is equivalent to building a virtual power battery and car cabin, which can simulate the power battery and car cabin of a real car.

[0041] Among them, see Figure 6 As shown, the power battery thermal model includes a power battery PTC module, and the vehicle cabin thermal model includes a cabin PTC module, a fan module, a compressor module, an air duct module, and a cabin structure module.

[0042] Step S20 , inputting the vehicle operating condition test parameters into the simulation model, making the simulation model jointly test and run the vehicle thermal management controller to be tested, and outputting the test results of the simulation model test run.

[0043] Specifically, the vehicle operating condition test parameters include CLTC operating condition test parameters, WLTC operating condition test parameters, and preset custom operating condition test parameters. These parameters are input into the simulation model, which is then tested in conjunction with the vehicle thermal management controller under test. This means that the actual vehicle thermal management controller under test is tested alongside the virtual simulation model, fully simulating vehicle usage scenarios.

[0044] In step S30, if the test results meet expectations, testing the vehicle thermal management controller is stopped. Otherwise, the control strategy of the vehicle thermal management controller is adjusted until the test results meet expectations. The test results include the temperature curves of the power battery and the vehicle cabin over time.

[0045] Specifically, see Figure 3 As shown, if the test result meets the expected result, stop testing the vehicle thermal management controller; otherwise, adjust the control strategy of the vehicle thermal management controller until the test result meets the expected result, including:

[0046] Step S301, using a preset curve similarity algorithm to calculate the curve similarity between the temperature curve in the test result and the temperature curve in the expected result;

[0047] Step S302: If the curve similarity value between the temperature curve in the test result and the temperature curve in the expected result reaches a set threshold, it is determined that the test result is consistent with the expected result.

[0048] For example, a curve similarity calculation (e.g., using a mean square error algorithm or a Pearson correlation coefficient algorithm) is performed on the simulated temperature curve of a car cabin over time and the expected temperature curve of the car cabin over time. If the curve similarity value of the two curves reaches a set threshold, the test result can be considered to meet the expected result. For another example, if the threshold is set to 0.9 and the curve similarity value of the two curves obtained using the Pearson correlation coefficient algorithm (generally between -1 and 1) is 0.95, the test result can be considered to meet the expected result.

[0049] If the time-varying temperature curve of the tested vehicle cabin meets the OEM's expectations for the vehicle's thermal management system, the control strategy of the vehicle's thermal management controller meets the requirements and can be directly implemented on the actual vehicle to ensure the proper functioning of the vehicle's thermal management system. If the time-varying temperature curve of the tested vehicle cabin does not meet expectations, the control strategy of the vehicle's thermal management controller can be adjusted online to optimize the control strategy and achieve the final control requirements.

[0050] The test method for the automotive thermal management controller in the embodiment of the present invention first constructs a simulation model of the automotive thermal management system based on the HIL test bench. The simulation model includes a power battery thermal model and a vehicle cabin thermal model. Then, the vehicle operating condition test parameters are input into the simulation model, and the simulation model is tested and run in conjunction with the automotive thermal management controller to be tested. The test results of the simulation model test run are output. Finally, if the test results meet the expected results, the test of the automotive thermal management controller is stopped; otherwise, the control strategy of the automotive thermal management controller is adjusted until the test results meet the expected results. The embodiment of the present invention combines the actual automotive thermal management controller with the simulation model of the virtual automotive thermal management system to simulate the state of the actual vehicle operating in the actual automotive operating conditions. The control strategy of the automotive thermal management controller is verified or adjusted according to the test results, effectively reducing the dependence on the physical vehicle and parts, solving the technical problems of low efficiency and high test cost of existing automotive thermal management controller tests, and can accelerate the test development speed of the control strategy of the automotive thermal management controller and shorten the test development cycle.

[0051] As an optional implementation, in one embodiment of the invention, see Figure 2 As shown, the vehicle operating condition test parameters are input into the simulation model, the simulation model is combined with the vehicle thermal management controller to be tested for running, and the test results of the simulation model test run are output, including:

[0052] Step S201, obtaining multiple electrical parameters during the simulation model test operation, and determining whether any electrical parameter exceeds a corresponding parameter threshold;

[0053] Step S202 : If any electrical parameter exceeds the corresponding parameter threshold, an alarm signal is generated and the joint test operation of the simulation model and the automotive thermal management controller to be tested is stopped.

[0054] Specifically, during the combined test run, all electrical parameters must be limited to a reasonable operating range to ensure the test process does not conform to the standards of actual vehicle use. Therefore, if any electrical parameter exceeds the corresponding parameter threshold, the combined test run must be stopped immediately, and an alarm signal will be generated to promptly report the electrical parameter problem during the test run, alerting test personnel to identify the test problem and improving test reliability. The alarm signal can be displayed on the HIL test bench's operating interface.

[0055] As an optional implementation, in one embodiment of the invention, inputting the vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested, and outputting the test results of the simulation model test run also includes:

[0056] First, a low-voltage input is applied to the simulation model, and then a high-voltage input is applied after a preset interval. This ensures the normal operation of the entire test system and avoids any abnormalities during the test process.

[0057] As an optional implementation manner, in one embodiment of the invention, adjusting the control strategy of the automobile thermal management controller includes:

[0058] Adjust the fan gear, compressor operation MAP, power battery PTC voltage or cabin PTC voltage.

[0059] For example, power battery PTC is generally used to preheat the power battery in winter when the ambient temperature is low. If the test results do not meet the expected results, by adjusting the power battery PTC voltage in the control strategy of the vehicle thermal management controller, the power battery PTC can be used to raise the power battery temperature to a more suitable working range when preheating the power battery in winter, improve the fluidity of the electrolyte, increase the ion conduction speed, restore the charging and discharging efficiency of the power battery, extend the driving range, and protect the battery from low temperature damage. Test results

[0060] See also Figure 4 As shown in the figure, under certain vehicle operating test parameters, the solid line is the expected temperature curve of the vehicle cabin changing with time, and the dotted line is the temperature curve of the vehicle cabin changing with time after adjusting the compressor operation MAP in the control strategy of the vehicle thermal management controller. The similarity between the two curves is very high. At -20℃, the temperature of the vehicle cabin can be raised to above 20℃ faster, so that users can feel the heat earlier and improve their comfort.

[0061] As an optional implementation, in one embodiment of the invention, the construction of a simulation model of an automotive thermal management system based on a HIL bench includes:

[0062] Corresponding module output parameter calculation formulas are set in the power battery PTC module, cabin PTC module, fan module, compressor module, air duct module and cabin structure module respectively.

[0063] For example, the power battery PTC module Figure 5 As shown, the input of the power battery PTC module is the battery voltage, ambient temperature, and PTC control signal, and the output of the power battery PTC module is the power battery PTC temperature, current, and power battery PTC bus signal. The corresponding module output parameter calculation formula can be set in the power battery PTC module as follows:

[0064]

[0065] Where: c v is the specific heat capacity of the power battery PTC material; m is the mass of the power battery PTC; R(T) is the resistance of the power battery PTC that changes with temperature; T is the temperature of the power battery PTC; V is the input voltage of the power battery PTC, and the power battery PTC variable power heating is achieved by controlling the input voltage by the duty cycle; A is the heating area of the power battery PTC; α is the heat transfer coefficient between the power battery PTC and the heated object, T A The calculation formulas for module output parameters of other modules can be set according to actual needs.

[0066] See also Figure 6 As shown, an embodiment of the present invention further provides a test system for an automotive thermal management controller, the test system comprising: a HIL test bench comprising a connected processor, an I / O interface and an operation interface, the HIL test bench being connected to the automotive thermal management controller to be tested via the I / O interface.

[0067] The test system is used to perform the following test method for the automotive thermal management controller:

[0068] Step S10: constructing a simulation model of the vehicle thermal management system based on the HIL test bench, where the simulation model includes a power battery thermal model and a vehicle cabin thermal model.

[0069] Specifically, staff can build a simulation model of the vehicle thermal management system through the operation interface. The simulation model includes a power battery thermal model and a vehicle cabin thermal model. It is equivalent to building a virtual power battery and vehicle cabin, which can simulate the power battery and vehicle cabin of a real car.

[0070] Among them, see Figure 6 As shown, the power battery thermal model includes a power battery PTC module, and the vehicle cabin thermal model includes a cabin PTC module, a fan module, a compressor module, an air duct module, and a cabin structure module.

[0071] Step S20 , inputting the vehicle operating condition test parameters into the simulation model, making the simulation model jointly test and run the vehicle thermal management controller to be tested, and outputting the test results of the simulation model test run.

[0072] Specifically, the vehicle operating condition test parameters include CLTC operating condition test parameters, WLTC operating condition test parameters, and preset custom operating condition test parameters. These parameters are input into the simulation model, which is then tested in conjunction with the vehicle thermal management controller under test. This means that the actual vehicle thermal management controller under test is tested alongside the virtual simulation model, fully simulating vehicle usage scenarios.

[0073] In step S30, if the test results meet expectations, testing the vehicle thermal management controller is stopped. Otherwise, the control strategy of the vehicle thermal management controller is adjusted until the test results meet expectations. The test results include the temperature curves of the power battery and the vehicle cabin over time.

[0074] Specifically, see Figure 3 As shown, if the test result meets the expected result, stop testing the vehicle thermal management controller; otherwise, adjust the control strategy of the vehicle thermal management controller until the test result meets the expected result, including:

[0075] Step S301, using a preset curve similarity algorithm to calculate the curve similarity between the temperature curve in the test result and the temperature curve in the expected result;

[0076] Step S302: If the curve similarity value between the temperature curve in the test result and the temperature curve in the expected result reaches a set threshold, it is determined that the test result is consistent with the expected result.

[0077] For example, a curve similarity calculation (e.g., using a mean square error algorithm or a Pearson correlation coefficient algorithm) is performed on the simulated temperature curve of a car cabin over time and the expected temperature curve of the car cabin over time. If the curve similarity value of the two curves reaches a set threshold, the test result can be considered to meet the expected result. For another example, if the threshold is set to 0.9 and the curve similarity value of the two curves obtained using the Pearson correlation coefficient algorithm (generally between -1 and 1) is 0.95, the test result can be considered to meet the expected result.

[0078] If the time-varying temperature curve of the tested vehicle cabin meets the OEM's expectations for the vehicle's thermal management system, the control strategy of the vehicle's thermal management controller meets the requirements and can be directly implemented on the actual vehicle to ensure the proper functioning of the vehicle's thermal management system. If the time-varying temperature curve of the tested vehicle cabin does not meet expectations, the control strategy of the vehicle's thermal management controller can be adjusted online to optimize the control strategy and achieve the final control requirements.

[0079] The test system for the automotive thermal management controller in the embodiment of the present invention first constructs a simulation model of the automotive thermal management system based on the HIL test bench. The simulation model includes a power battery thermal model and a vehicle cabin thermal model. Then, the vehicle operating condition test parameters are input into the simulation model, and the simulation model is tested and run in conjunction with the automotive thermal management controller to be tested. The test results of the simulation model test run are output. Finally, if the test results meet the expected results, the test of the automotive thermal management controller is stopped; otherwise, the control strategy of the automotive thermal management controller is adjusted until the test results meet the expected results. The embodiment of the present invention combines the actual automotive thermal management controller with the simulation model of the virtual automotive thermal management system to simulate the state of the actual vehicle operating in real automotive operating conditions. The control strategy of the automotive thermal management controller is verified or adjusted according to the test results, effectively reducing the dependence on the physical vehicle and parts, solving the technical problems of low efficiency and high test cost of existing automotive thermal management controller tests, and can accelerate the test development speed of the control strategy of the automotive thermal management controller and shorten the test development cycle.

[0080] As an optional implementation, in one embodiment of the invention, see Figure 2 As shown, the vehicle operating condition test parameters are input into the simulation model, the simulation model is combined with the vehicle thermal management controller to be tested for running, and the test results of the simulation model test run are output, including:

[0081] Step S201, obtaining multiple electrical parameters during the simulation model test operation, and determining whether any electrical parameter exceeds a corresponding parameter threshold;

[0082] Step S202 : If any electrical parameter exceeds the corresponding parameter threshold, an alarm signal is generated and the joint test operation of the simulation model and the automotive thermal management controller to be tested is stopped.

[0083] Specifically, during the combined test run, all electrical parameters must be limited to a reasonable operating range to ensure the test process does not conform to the standards of actual vehicle use. Therefore, if any electrical parameter exceeds the corresponding parameter threshold, the combined test run must be stopped immediately, and an alarm signal will be generated to promptly report the electrical parameter problem during the test run, alerting test personnel to identify the test problem and improving test reliability. The alarm signal can be displayed on the HIL test bench's operating interface.

[0084] As an optional implementation, in one embodiment of the invention, inputting the vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested, and outputting the test results of the simulation model test run also includes:

[0085] First, a low-voltage input is applied to the simulation model, and then a high-voltage input is applied after a preset interval. This ensures the normal operation of the entire test system and avoids any abnormalities during the test process.

[0086] As an optional implementation manner, in one embodiment of the invention, adjusting the control strategy of the automobile thermal management controller includes:

[0087] Adjust the fan gear, compressor operation MAP, power battery PTC voltage or cabin PTC voltage.

[0088] For example, power battery PTC is generally used to preheat the power battery in winter when the ambient temperature is low. If the test results do not meet the expected results, by adjusting the power battery PTC voltage in the control strategy of the vehicle thermal management controller, the power battery PTC can be used to raise the power battery temperature to a more suitable working range when preheating the power battery in winter, improve the fluidity of the electrolyte, increase the ion conduction speed, restore the charging and discharging efficiency of the power battery, extend the driving range, and protect the battery from low temperature damage. Test results

[0089] See also Figure 4 As shown in the figure, under certain vehicle operating test parameters, the solid line is the expected temperature curve of the vehicle cabin changing with time, and the dotted line is the temperature curve of the vehicle cabin changing with time after adjusting the compressor operation MAP in the control strategy of the vehicle thermal management controller. The similarity between the two curves is very high. At -20℃, the temperature of the vehicle cabin can be raised to above 20℃ faster, so that users can feel the heat earlier and improve their comfort.

[0090] As an optional implementation, in one embodiment of the invention, the construction of a simulation model of an automotive thermal management system based on a HIL bench includes:

[0091] Corresponding module output parameter calculation formulas are set in the power battery PTC module, cabin PTC module, fan module, compressor module, air duct module and cabin structure module respectively.

[0092] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper" and "lower" is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be internal communication between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0093] It should be noted that, in the present invention, relational terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0094] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is to be construed in the widest possible manner consistent with the principles and novel features of the present invention.

Claims

1. A method for testing an automotive thermal management controller, characterized in that: include: Building a simulation model of the automotive thermal management system based on the HIL test bench, the simulation model includes a power battery thermal model and a vehicle cabin thermal model; Inputting vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested, and outputting test results of the simulation model test run; If the test result meets the expected result, stop testing the vehicle thermal management controller; otherwise, adjust the control strategy of the vehicle thermal management controller until the test result meets the expected result.

2. The method for testing an automotive thermal management controller according to claim 1, wherein: The step of inputting the vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested, and outputting the test results of the simulation model test run includes: Obtain multiple electrical parameters during the simulation model test run and determine whether any electrical parameter exceeds a corresponding parameter threshold; If any electrical parameter exceeds the corresponding parameter threshold, an alarm signal is generated and the joint test operation of the simulation model and the vehicle thermal management controller to be tested is stopped.

3. The method for testing an automotive thermal management controller according to claim 1, wherein: The step of inputting the vehicle operating condition test parameters into the simulation model, causing the simulation model to be tested in conjunction with the vehicle thermal management controller to be tested and running the test, and outputting the test results of the simulation model test run, further includes: First, low voltage is input to the simulation model, and then high voltage is input after a preset time interval.

4. The method for testing an automotive thermal management controller according to claim 1, wherein: The test results include a temperature curve of the power battery and a temperature curve of the vehicle cabin that change with time.

5. The method for testing an automotive thermal management controller according to claim 4, wherein: If the test result meets the expected result, stop testing the vehicle thermal management controller; Otherwise, adjust the control strategy of the vehicle thermal management controller until the test results meet the expected results, including: The temperature curve in the test result and the temperature curve in the expected result are calculated using a preset curve similarity algorithm; If the curve similarity value between the temperature curve in the test result and the temperature curve in the expected result reaches a set threshold, it is determined that the test result is consistent with the expected result.

6. The method for testing an automotive thermal management controller according to claim 1, wherein: The power battery thermal model includes a power battery PTC module; The automobile cabin thermal model includes a cabin PTC module, a fan module, a compressor module, an air duct module and a cabin structure module.

7. The method for testing an automotive thermal management controller according to claim 6, wherein: The simulation model of the automotive thermal management system based on the HIL bench includes: Corresponding module output parameter calculation formulas are set in the power battery PTC module, cabin PTC module, fan module, compressor module, air duct module and cabin structure module respectively.

8. The method for testing an automotive thermal management controller according to claim 1, wherein: The control strategy of adjusting the automotive thermal management controller includes: Adjust the fan gear, compressor operation MAP, power battery PTC voltage or cabin PTC voltage.

9. The method for testing an automotive thermal management controller according to claim 1, wherein: The vehicle operating condition test parameters include CLTC operating condition test parameters, WLTC operating condition test parameters and preset custom operating condition test parameters.

10. A test system for an automobile thermal management controller, used to execute the test method for an automobile thermal management controller according to any one of claims 1 to 9, characterized in that: include: The HIL test bench includes a connected processor, an I / O interface and an operation interface. The HIL test bench is connected to the automotive thermal management controller to be tested through the I / O interface.

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