A test method, device, medium and equipment of an electric vehicle thermal management system

Abstract

This application provides a testing method, apparatus, medium, and equipment for an electric vehicle thermal management system. The testing method is applied to a testing system for an electric vehicle thermal management system. It involves setting up the testing system and placing the vehicle under test within it for preprocessing; performing operating condition tests on the vehicle under test and acquiring its energy flow parameters under these conditions; calculating a comprehensive evaluation index based on the energy flow parameters; and generating test results based on the comprehensive evaluation index. By building a testing system for an electric vehicle thermal management system, all components of the electric vehicle are integrated into a whole. Combined with changes in ambient heat, the thermal management status of the electric vehicle during operation is accurately measured. Furthermore, by comprehensively calculating the evaluation index using multi-dimensional energy flow parameters of the electric vehicle under multiple operating conditions, a comprehensive and accurate testing method can be provided to improve the accuracy of electric vehicle thermal management testing.

Description

Technical Field

[0001] This application relates to the field of electric vehicle testing technology, specifically to a testing method, apparatus, medium, and equipment for an electric vehicle thermal management system. Background Technology

[0002] With the increasing popularity of pure electric vehicles, the complexity and importance of their thermal management systems (TMS) are becoming increasingly prominent. Modern electric vehicle thermal management systems have evolved from traditional passenger compartment air conditioning to complex systems integrating battery thermal management, motor and electronic control thermal management, and cabin air conditioning, with strong coupling relationships between these subsystems. The system's performance and energy consumption directly affect the vehicle's range, component lifespan, safety, and comfort.

[0003] Currently, the testing of thermal management systems for electric vehicles faces the following challenges: 1. Limited testing dimensions. Existing testing standards mostly focus on passenger cabin energy consumption testing under single environments (such as high-temperature cooling, low-temperature heating, and normal temperature conditions), or performance testing of specific components (such as battery cooling and motor cooling).

[0004] 2. Isolated data and lack of correlation analysis. Data collected during testing (such as compressor power, PTC power, water pump flow rate, and temperature of each circuit) are often analyzed independently, making it difficult to reveal the energy interaction and mutual influence between different subsystems.

[0005] 3. Most tests are based on static conditions, which are out of touch with real driving scenarios. A large number of tests are conducted based on constant vehicle speed (e.g., 100km / h) and constant environmental conditions. However, in actual driving, vehicle speed, environment, and user settings (e.g., air conditioning temperature) are all in dynamic change. Static tests cannot fully expose the system's adjustment capabilities, stability, and energy efficiency shortcomings under transient conditions.

[0006] 4. Incomplete energy consumption assessment. Existing methods typically calculate the energy consumption of high-pressure components (compressors, PTCs) and low-pressure components (pumps, fans) separately, but do not fully consider the impact of system coordinated control strategies on total energy consumption.

[0007] Therefore, there is an urgent need in this field for a comprehensive testing method and system that can perform integrated performance and energy consumption assessment of the entire thermal management system. Summary of the Invention

[0008] To address the aforementioned technical problems, this application is proposed. Embodiments of this application provide a testing method, apparatus, medium, and equipment for an electric vehicle thermal management system.

[0009] According to one aspect of this application, a testing method for an electric vehicle thermal management system is provided, applied to a testing system for an electric vehicle thermal management system. The testing system includes a communication-connected environmental simulation chamber, a rotary drum environmental chamber, a thermal management testing unit, a multi-source data acquisition unit, and a central control unit. The environmental simulation chamber provides a controllable temperature, humidity, and light environment. The rotary drum environmental chamber provides a controllable temperature, humidity, and light environment, simulates vehicle driving resistance, and operates according to a dynamic driving cycle. The thermal management testing unit integrates all key components of the thermal management system of the vehicle under test and is equipped with a high-precision sensor interface for measuring parameters such as temperature, pressure, flow rate, current, voltage, and power. The multi-source data acquisition unit consists of distributed data acquisition modules for data acquisition. The central control unit is used for test process control, data storage, real-time calculation, model operation, and result visualization. The testing method for the electric vehicle thermal management system includes: setting up the testing system and placing the vehicle under test in the testing system for environmental immersion; performing operating condition tests on the vehicle under test and acquiring the energy flow parameters of the vehicle under test under the operating conditions; calculating a comprehensive evaluation index based on the energy flow parameters under the operating conditions; and generating test results based on the comprehensive evaluation index.

[0010] In one embodiment, the operating condition includes a basic steady-state operating condition; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating condition includes: controlling the vehicle under test to operate within a first stable speed range at a first fixed temperature; after the thermal management test unit enters a stable state, collecting steady-state operating condition test data of the vehicle under test; calculating the total system power consumption and component thermal load of the vehicle under test based on the steady-state operating condition test data; and calculating the energy efficiency ratio of the vehicle under test based on the total system power consumption and component thermal load of the vehicle under test.

[0011] In one embodiment, calculating the energy efficiency ratio of the vehicle under test based on its total system power consumption and component thermal load includes: the formula for calculating the energy efficiency ratio of the vehicle under test is as follows: ; in, SEER For energy efficiency ratio, for t The heat load of the crew cabin at any given time for t Battery thermal load at all times for t The thermal load of the motor and electronic control system at any given time. for t Total system power consumption at any given time.

[0012] In one embodiment, the operating condition includes a standard dynamic driving cycle; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating condition includes: controlling the vehicle under test to run on a chassis dynamometer according to a standard driving cycle at a set ambient temperature; collecting the cyclic operating condition test data of the vehicle under test; and calculating the temperature standard deviation of the vehicle under test based on the cyclic operating condition test data.

[0013] In one embodiment, the operating condition includes a coupled dynamic environment operating condition; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating condition includes: controlling the vehicle under test to operate within a second stable speed range at a second fixed temperature; dynamically adjusting the ambient temperature of the vehicle under test after the thermal management test unit enters a stable state; collecting dynamic operating condition test data of the vehicle under test; and calculating the PTC response delay time and the adjustment time for the passenger compartment temperature to re-stabilize based on the dynamic operating condition test data.

[0014] In one embodiment, the operating conditions include extreme operating conditions; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating conditions includes: controlling the vehicle under test to operate under extreme operating conditions; collecting extreme operating condition test data of the vehicle under test; calculating the temperature change range of the vehicle under test based on the extreme operating condition test data; and determining the extreme response state of the vehicle under test based on the temperature change range of the vehicle under test.

[0015] In one embodiment, calculating the comprehensive evaluation index based on the energy flow parameters under the operating condition includes: calculating the energy consumption value of the corresponding energy-consuming component based on the voltage and current values ​​of each energy-consuming component under the operating condition.

[0016] According to another aspect of this application, a testing device for an electric vehicle thermal management system is provided. This device is installed within a testing system for the electric vehicle thermal management system. The testing system includes a communication-connected environmental simulation chamber, a rotating drum environmental chamber, a thermal management testing unit, a multi-source data acquisition unit, and a central control unit. The environmental simulation chamber provides controllable temperature, humidity, and light environments. The rotating drum environmental chamber provides controllable temperature, humidity, and light environments, simulates vehicle driving resistance, and operates according to a dynamic driving cycle. The thermal management testing unit integrates all key components of the thermal management system of the vehicle under test and is equipped with a high-precision sensor interface for measuring parameters such as temperature, pressure, flow rate, current, voltage, and power. The multi-source data acquisition unit consists of a distributed data acquisition module for data acquisition. The central control unit is used for test process control, data storage, real-time calculation, model operation, and result visualization. The test device for the electric vehicle thermal management system includes: a test vehicle arrangement module for arranging the test system and placing the vehicle to be tested in the test system for environmental immersion; an energy parameter acquisition module for performing operating condition tests on the vehicle to be tested and acquiring the energy flow parameters of the vehicle to be tested under the operating conditions; an evaluation index calculation module for calculating a comprehensive evaluation index based on the energy flow parameters under the operating conditions; and a test result generation module for generating test results based on the comprehensive evaluation index.

[0017] According to another aspect of this application, a computer-readable storage medium is provided, the storage medium storing a computer program for performing any of the methods described above.

[0018] According to another aspect of this application, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; the processor being configured to perform any of the methods described above.

[0019] This application provides a testing method, apparatus, medium, and equipment for an electric vehicle thermal management system. The testing method is applied to a testing system for an electric vehicle thermal management system. This testing system includes a communication-connected environmental simulation chamber, a rotary drum environmental chamber, a thermal management testing unit, a multi-source data acquisition unit, and a central control unit. The testing system is deployed, and the vehicle under test is immersed in the system for environmental testing. Operating condition tests are performed on the vehicle under test, and energy flow parameters under these conditions are acquired. Based on the energy flow parameters under these operating conditions, a comprehensive evaluation index is calculated. Based on the comprehensive evaluation index, test results are generated. By building a testing system for an electric vehicle thermal management system, the various components of the electric vehicle are integrated into a whole. Combined with changes in ambient heat, the thermal management status of the electric vehicle during operation is accurately measured. Furthermore, by comprehensively calculating the evaluation index by combining multi-dimensional energy flow parameters of the electric vehicle under multiple operating conditions, a comprehensive and accurate testing method can be provided to improve the accuracy of electric vehicle thermal management testing. Attached Figure Description

[0020] The above and other objects, features, and advantages of this application will become more apparent from the more detailed description of the embodiments of this application in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the embodiments of this application to explain this application and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0021] Figure 1 This is a schematic diagram of the structure of a test system for an electric vehicle thermal management system provided in an exemplary embodiment of this application.

[0022] Figure 2 This is a flowchart illustrating a test method for an electric vehicle thermal management system provided in an exemplary embodiment of this application.

[0023] Figure 3 This is a schematic diagram of the structure of a test apparatus for an electric vehicle thermal management system provided in an exemplary embodiment of this application.

[0024] Figure 4 This is a structural diagram of an electronic device provided in an exemplary embodiment of this application. Detailed Implementation

[0025] Hereinafter, exemplary embodiments according to this application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein.

[0026] Figure 1This is a schematic diagram of the structure of a test system for an electric vehicle thermal management system provided in an exemplary embodiment of this application. Figure 1 As shown, the test system for the electric vehicle thermal management system includes a communication-connected environmental simulation chamber 1, a rotary drum environmental chamber 2, a thermal management test unit 3, a multi-source data acquisition unit 4, and a central control unit 5. The environmental simulation chamber 1 provides a controllable temperature, humidity, and light environment. The rotary drum environmental chamber 2 provides a controllable temperature, humidity, and light environment, simulates vehicle driving resistance, and operates according to a dynamic driving cycle. The thermal management test unit 3 integrates all key components of the thermal management system of the vehicle under test and is equipped with high-precision sensor interfaces for measuring parameters such as temperature, pressure, flow rate, current, voltage, and power. The multi-source data acquisition unit 4 consists of distributed data acquisition modules for data acquisition. The central control unit 5 is used for test process control, data storage, real-time calculation, model operation, and result visualization. The environmental simulation chamber 1 can precisely control the test environment temperature (range -40℃ to 60℃), humidity (10%RH to 90%RH), and solar radiation intensity (0 to 1200 W / m²). 2 The rotary drum environmental chamber 2 includes an environmental chamber, a chassis dynamometer, and a sunlight simulation system, which can precisely control the test environment temperature (range -40℃ to 60℃), humidity (10%RH to 90%RH), and solar radiation intensity (0 to 1200 W / m²). 2 The system can apply vehicle driving resistance and operate according to standard driving cycles (such as NEDC, WLTC, CLTC) or custom dynamic conditions; the multi-source data acquisition unit 4 synchronously acquires data from the vehicle CAN bus, thermal management system test system sensors, environmental simulation chamber, and drum environmental chamber to ensure data time synchronization.

[0027] Figure 2 This is a flowchart illustrating a testing method for an electric vehicle thermal management system provided in an exemplary embodiment of this application. This testing method for an electric vehicle thermal management system is applied to a testing system for electric vehicle thermal management systems, such as... Figure 2 As shown, the test method for this electric vehicle thermal management system includes the following steps: Step 210: Set up the test system and place the vehicle to be tested in the test system for environmental immersion.

[0028] By setting up a test system, the vehicle to be tested is broken in for at least 300km and immersed in the vehicle for 12-15 hours at the corresponding ambient temperature. The sensors are also calibrated to ensure that the accuracy of all test equipment meets the requirements.

[0029] Step 220: Perform a working condition test on the vehicle under test and obtain the energy flow parameters of the vehicle under test under the working condition.

[0030] Multi-condition testing is performed on the vehicle under test to obtain energy flow parameters under different conditions, so as to provide a data basis for subsequent evaluation.

[0031] Step 230: Calculate the comprehensive evaluation index based on the energy flow parameters under the operating conditions.

[0032] After obtaining the energy flow parameters under different operating conditions, a comprehensive evaluation index is calculated based on the energy flow parameters.

[0033] Step 240: Generate test results based on comprehensive evaluation indicators.

[0034] After calculating the comprehensive evaluation index, test results, such as test reports, are generated based on the comprehensive evaluation index.

[0035] This application provides a testing method for an electric vehicle thermal management system. This method is applied to a testing system for an electric vehicle thermal management system, which includes a communication-connected environmental simulation chamber, a rotary drum environmental chamber, a thermal management testing unit, a multi-source data acquisition unit, and a central control unit. The testing system is deployed, and the vehicle under test is immersed in the system for environmental testing. Operating condition tests are performed on the vehicle under test, and energy flow parameters under these conditions are acquired. Based on the energy flow parameters under these operating conditions, a comprehensive evaluation index is calculated. Based on the comprehensive evaluation index, test results are generated. By building a testing system for an electric vehicle thermal management system, the various components of the electric vehicle are integrated into a whole. Combined with changes in ambient heat, the thermal management status of the electric vehicle during operation is accurately measured. Furthermore, by comprehensively calculating the evaluation index using multi-dimensional energy flow parameters under multiple operating conditions, a comprehensive and accurate testing method can be provided to improve the accuracy of electric vehicle thermal management testing.

[0036] In one embodiment, the operating conditions include basic steady-state operating conditions; wherein, the specific implementation of step 220 above may be: controlling the vehicle under test to operate within a first stable speed range at a first fixed temperature; after the thermal management test unit enters a stable state, collecting steady-state operating condition test data of the vehicle under test; calculating the total system power consumption and component thermal load of the vehicle under test based on the steady-state operating condition test data; and calculating the energy efficiency ratio of the vehicle under test based on the total system power consumption and component thermal load of the vehicle under test.

[0037] This application involves constant vehicle speed (e.g., 100 km / h) testing at multiple fixed temperatures (covering low-temperature, normal-temperature, and high-temperature environments, such as -20℃, -7℃, 0℃, 10℃, 25℃, and 35℃) to calibrate basic system parameters, verify the accuracy of the energy flow model, and obtain benchmark performance data of the system under typical steady-state conditions. Specifically, representative ambient temperature points are selected, including: -20℃, -7℃, 0℃, 10℃ (low-temperature heating), 25℃ (normal temperature, air conditioning off), and 35℃ (high-temperature cooling); and road loads are set: resistance loading is applied according to standards for normal-temperature, high-temperature, and 10℃ conditions, and the low-temperature condition at -7℃ and below is loaded at 1.1 times the resistance coefficient of normal temperature, with the test vehicle loaded to its maximum design gross weight. After the test vehicle was immersed in the specified ambient temperature, the chassis dynamometer was started, and the vehicle speed was stabilized at (100±2) km / h. The system was operated until it entered a stable operating state of the thermal management system, i.e., the fluctuation of key parameters (such as in-vehicle temperature, outlet air temperature, system water temperature, compressor power, etc.) was less than ±5%. In the stable state, data was continuously collected for at least 10 minutes, and the average value was taken as the steady-state test data of the basic steady-state condition. Based on the steady-state test data, the total system power consumption and component heat load of the test vehicle were calculated, and the energy efficiency ratio of the test vehicle was calculated based on the total system power consumption and component heat load. Curves of total system power consumption and energy efficiency ratio changing with ambient temperature were plotted to form a basic performance spectrum.

[0038] In one embodiment, step 220 can be implemented as follows: the formula for calculating the energy efficiency ratio of the vehicle under test is: ; in, SEER For energy efficiency ratio, for t The heat load of the crew cabin at any given time for t Battery thermal load at all times for t The thermal load of the motor and electronic control system at any given time. for t Total system power consumption at any given time.

[0039] t The formula for calculating the total power consumption of the system at any given time is: ; in, for t Air conditioner compressor power at all times for t PTC heater (air-cooled / water-cooled) power at all times. for t The sum of the power of all coolant pumps at any given time. for t The sum of the power of all cooling fans at any given time. for t Power of other auxiliary components at all times.

[0040] t The formula for calculating the heat load of the crew cabin at any given time is: ; in, air density, for t Constant blower airflow They are respectively t The enthalpy ratio of the air entering and exiting the air conditioner at all times.

[0041] t The formula for calculating the battery heat load at any given time is: ; in, The specific heat capacity of the battery pack coolant. for t Real-time battery pack coolant mass flow rate, They are respectively t Monitor the temperature of the battery pack's inlet and outlet coolant at all times.

[0042] t The formula for calculating the thermal load of the motor control system at any given time is: ; in, The specific heat capacity of the motor and electronic control coolant. for t The mass flow rate of the motor's electronic control coolant at all times. They are respectively t The temperature of the motor's output and inlet coolant is constantly monitored.

[0043] In one embodiment, the operating conditions include standard dynamic driving cycle operating conditions; wherein, the specific implementation of step 220 above may be: controlling the vehicle under test to run on the chassis dynamometer according to the standard driving cycle at a set ambient temperature; collecting the cycle operating condition test data of the vehicle under test; and calculating the temperature standard deviation of the vehicle under test based on the cycle operating condition test data.

[0044] This application involves running a vehicle on a chassis dynamometer under a set ambient temperature according to standard driving cycles such as WLTC or CLTC to test the system's dynamic response, energy consumption, and matching with the vehicle's power requirements under real-world speed variations. Specifically, comparative tests are conducted using standard driving cycle conditions (e.g., Chinese light-duty vehicle driving conditions) and typical high-temperature (35℃), low-temperature (-7℃), and normal-temperature (25℃) environments. Data acquisition is initiated synchronously from the start of the cycle until the end of the entire driving cycle, obtaining cycle test data. Based on the cycle test data, the total power consumption under the standard driving cycle conditions is calculated, and a curve of total power consumption changing over time is plotted. The correlation with vehicle speed and acceleration is analyzed. It is checked whether the passenger compartment temperature and average battery temperature remain within the target range throughout the cycle, and their temperature standard deviation is calculated to evaluate stability. Simultaneously, the energy flow data for the entire cycle is integrated to analyze the main energy flow direction and distribution ratio at different driving stages (low speed, medium speed, high speed). This operating condition is mainly used to test the dynamic response under real vehicle speed changes, analyze the variation of thermal management power consumption with vehicle power demand, and calculate the equivalent energy consumption of the thermal management system. The calculation formulas for the equivalent energy consumption of the thermal management system and the equivalent energy consumption of the low-pressure and high-pressure thermal management systems are as follows: ; ; ; in, Equivalent energy consumption of thermal management system, per unit , The total electrical power consumed by the thermal management system (high voltage + low voltage) throughout the entire driving cycle, per unit , The total mileage of the driving cycle, in units of , and These are the equivalent energy consumption of the low-pressure and high-pressure thermal management systems, respectively, per unit. , and These are the power consumption figures for the low-pressure and high-pressure thermal management systems, respectively.

[0045] In one embodiment, the operating condition includes coupled dynamic environmental operating conditions; wherein, the specific implementation of step 220 above may be: controlling the vehicle under test to run in a second stable speed range at a second fixed temperature; after the thermal management test unit enters a stable state, dynamically adjusting the ambient temperature of the vehicle under test; collecting dynamic operating condition test data of the vehicle under test; and calculating the PTC response delay time and the adjustment time for the passenger compartment temperature to re-stabilize based on the dynamic operating condition test data.

[0046] This application simulates drastic changes in ambient temperature during vehicle operation, such as simulating a vehicle exiting a temperature-controlled garage and entering a frigid outdoor environment, or entering a sunny environment from a tunnel, to evaluate the system's rapid response to environmental changes and the control strategy's optimization of energy consumption while maintaining temperature control targets. Specifically, the initial temperature of the transfer environment chamber is set to 25°C. The test vehicle runs at a constant speed of 80 km / h on a chassis dynamometer. After the thermal management system stabilizes, the ambient temperature is linearly reduced from 25°C to -10°C within a certain time period, or the vehicle is moved from the 25°C transfer environment chamber to a -10°C environment simulation chamber to simulate the vehicle's transition from a normal temperature region to a cold region. The ambient temperature change curve can be: , for t The ambient temperature at any given time The initial ambient temperature, These are the temperature regulation parameters. All sensor and CAN bus data are collected synchronously, and the PTC response delay time and the adjustment time for the passenger compartment temperature to stabilize (at 20℃-21℃) of the test vehicle are calculated based on dynamic operating condition test data. Furthermore, the coordination strategies of various system components are analyzed, such as whether the PTC or battery heating is preemptively activated in the early stages of ambient temperature drop, and the speed control logic of the water pump and fan. The average energy efficiency ratio of this transient process is calculated and compared with the steady-state operating condition. Preferably, this application can further conduct tests from low-temperature to high-temperature environments to observe the startup and adjustment process of the refrigeration system.

[0047] In one embodiment, the operating conditions include extreme operating conditions; wherein, the specific implementation of step 220 above may be: controlling the vehicle under test to operate under extreme operating conditions; collecting extreme operating condition test data of the vehicle under test; calculating the temperature change range of the vehicle under test based on the extreme operating condition test data; and determining the extreme response state of the vehicle under test based on the temperature change range of the vehicle under test.

[0048] This application verifies the system's performance limits, safety redundancy, and reliability under boundary conditions and component failures by controlling the test vehicle under extreme conditions (high temperature and high load, low temperature cold start, and component failure). Specifically, for high temperature and high load conditions: the ambient temperature is set to 40℃ or 45℃, and the solar radiation intensity is set to the maximum value (1050±50 W / m²). The test vehicle is controlled to run a high-load driving cycle (such as continuous high-speed cruising + hill climbing) on ​​a chassis dynamometer, while simulating DC fast charging to generate heat load on the battery. The system monitors whether the battery temperature can be effectively controlled below the safety threshold (such as 45℃), whether the compressor and front-end heat dissipation module reach their power or heat dissipation limits, and whether the system will trigger power reduction protection due to overheating. For low temperature cold start conditions: the ambient temperature is set to -20℃, and the vehicle is immersed for more than 15 hours to ensure that the battery cell temperature is consistent with the environment. The time from startup to the passenger compartment temperature reaching the comfortable range (20℃) is recorded. The battery heating strategy and speed at low temperatures are monitored, and the impact of the extremely high PTC power consumption during the cold start phase on the driving range is analyzed. For component failure scenarios: including single fan failure and water pump performance degradation, single fan failure is defined as the forced shutdown of a main front-end cooling fan via software commands during high-temperature and high-load testing. Water pump performance degradation is defined as the cooling water pump flow rate of a certain circuit dropping to 50% of the rated value via bench regulating valves. The system is observed to see if it can maintain the temperature of critical components (such as batteries and motors) within a safe range by increasing the speed of other fans or adjusting the circulation path. The system is also monitored to see if it issues correct fault diagnosis information and to evaluate the system's redundancy design capabilities.

[0049] In one embodiment, step 230 can be implemented by calculating the energy consumption value of the corresponding energy-consuming component based on the voltage and current values ​​of each energy-consuming component under operating conditions.

[0050] This application, based on fused data, analyzes the percentage contribution of components such as compressors, PTCs, pumps, and fans to total thermal management energy consumption, identifying the main energy-consuming components. The energy consumption value of each component is calculated using the following formula: , express Energy consumption of components for The voltage value of the component, for The current value of the component.

[0051] Figure 3 This is a schematic diagram of the structure of a test apparatus for an electric vehicle thermal management system provided in an exemplary embodiment of this application. The test apparatus for the electric vehicle thermal management system is installed within the aforementioned test system for the electric vehicle thermal management system, such as... Figure 3As shown, the test device 30 for the electric vehicle thermal management system includes: a test vehicle arrangement module 31, used to arrange the test system and place the vehicle to be tested in the test system for environmental immersion; an energy parameter acquisition module 32, used to perform operating condition tests on the vehicle to be tested and acquire the energy flow parameters of the vehicle to be tested under operating conditions; an evaluation index calculation module 33, used to calculate a comprehensive evaluation index based on the energy flow parameters under operating conditions; and a test result generation module 34, used to generate test results based on the comprehensive evaluation index.

[0052] This application provides a testing device for an electric vehicle thermal management system. The testing method for this electric vehicle thermal management system is applied to a testing system comprising a communication-connected environmental simulation chamber, a rotary drum environmental chamber, a thermal management testing unit, a multi-source data acquisition unit, and a central control unit. The testing system is arranged via a test vehicle arrangement module 31, and the vehicle to be tested is placed within the testing system for environmental immersion. An energy parameter acquisition module 32 performs operating condition tests on the vehicle to be tested and acquires the energy flow parameters of the vehicle under operating conditions. An evaluation index calculation module 33 calculates a comprehensive evaluation index based on the energy flow parameters under operating conditions. A test result generation module 34 generates test results based on the comprehensive evaluation index. By constructing a testing system for an electric vehicle thermal management system, the various components of the electric vehicle are integrated into a whole. Combined with changes in ambient heat, the thermal management status of the electric vehicle during operation is accurately measured. Furthermore, by comprehensively calculating evaluation indicators based on multi-dimensional energy flow parameters of the electric vehicle under multiple operating conditions, a comprehensive and accurate testing method can be provided to improve the accuracy of electric vehicle thermal management testing.

[0053] In one embodiment, the operating conditions include a basic steady-state operating condition; wherein, the energy parameter acquisition module 32 can be further configured to: control the vehicle under test to operate within a first stable speed range at a first fixed temperature; after the thermal management test unit enters a stable state, collect steady-state operating condition test data of the vehicle under test; calculate the total system power consumption and component thermal load of the vehicle under test based on the steady-state operating condition test data; and calculate the energy efficiency ratio of the vehicle under test based on the total system power consumption and component thermal load of the vehicle under test.

[0054] In one embodiment, the energy parameter acquisition module 32 can be further configured such that the energy efficiency ratio of the vehicle under test is calculated using the following formula: ; in, SEER For energy efficiency ratio, for t The heat load of the crew cabin at any given time for t Battery thermal load at all times fort The thermal load of the motor and electronic control system at any given time. for t Total system power consumption at any given time.

[0055] In one embodiment, the operating conditions include standard dynamic driving cycle operating conditions; wherein, the energy parameter acquisition module 32 can be further configured to: control the vehicle under test to run on the chassis dynamometer according to the standard driving cycle at a set ambient temperature; collect the cycle operating condition test data of the vehicle under test; and calculate the temperature standard deviation of the vehicle under test based on the cycle operating condition test data.

[0056] In one embodiment, the operating condition includes a coupled dynamic environment operating condition; wherein, the energy parameter acquisition module 32 can be further configured to: control the vehicle under test to operate in a second stable speed range at a second fixed temperature; dynamically adjust the ambient temperature of the vehicle under test after the thermal management test unit enters a stable state; collect dynamic operating condition test data of the vehicle under test; and calculate the PTC response delay time and the adjustment time for the passenger compartment temperature to re-stabilize based on the dynamic operating condition test data.

[0057] In one embodiment, the operating conditions include extreme operating conditions; wherein, the energy parameter acquisition module 32 can be further configured to: control the vehicle under test to operate under extreme operating conditions; collect extreme operating condition test data of the vehicle under test; calculate the temperature change range of the vehicle under test based on the extreme operating condition test data; and determine the extreme response state of the vehicle under test based on the temperature change range of the vehicle under test.

[0058] In one embodiment, the evaluation index calculation module 33 can be further configured to: calculate the energy consumption value of the corresponding energy-consuming component based on the voltage and current values ​​of each energy-consuming component under the operating conditions.

[0059] Below, for reference Figure 4 This application describes an electronic device according to embodiments thereof. The electronic device may be either or both of a first device and a second device, or a standalone device independent of them, which may communicate with the first device and the second device to receive acquired input signals from them.

[0060] Figure 4 A block diagram of an electronic device according to an embodiment of this application is illustrated.

[0061] like Figure 4 As shown, the electronic device 10 includes one or more processors 11 and memory 12.

[0062] The processor 11 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0063] The memory 12 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 11 may execute the program instructions to implement the methods of the various embodiments of this application described above and / or other desired functions. Various contents such as input signals, signal components, and noise components may also be stored in the computer-readable storage medium.

[0064] In one example, the electronic device 10 may also include an input device 13 and an output device 14, which are interconnected via a bus system and / or other forms of connection mechanism (not shown).

[0065] When the electronic device is a standalone device, the input device 13 can be a communication network connector for receiving the collected input signals from the first device and the second device.

[0066] In addition, the input device 13 may also include, for example, a keyboard, a mouse, etc.

[0067] The output device 14 can output various information to the outside, including determined distance information, direction information, etc. The output device 14 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0068] Of course, for the sake of simplicity, Figure 4 Only some of the components of the electronic device 10 relevant to this application are shown in this illustration; components such as buses, input / output interfaces, etc., are omitted. In addition, the electronic device 10 may include any other suitable components depending on the specific application.

[0069] In addition to the methods and apparatus described above, embodiments of this application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of this application described in the "Exemplary Methods" section above.

[0070] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this application. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0071] Furthermore, embodiments of this application may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of this application described in the "Exemplary Methods" section above.

[0072] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0073] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.

[0074] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0075] It should also be noted that in the apparatus, equipment, and methods of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of this application.

[0076] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0077] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A test method for an electric vehicle thermal management system, characterized in that, A testing system for an electric vehicle thermal management system includes a communication-connected environmental simulation chamber, a rotary drum environmental chamber, a thermal management testing unit, a multi-source data acquisition unit, and a central control unit. The environmental simulation chamber provides controllable temperature, humidity, and light conditions. The rotary drum environmental chamber provides controllable temperature, humidity, and light conditions, simulates vehicle driving resistance, and operates according to a dynamic driving cycle. The thermal management testing unit integrates all key components of the thermal management system of the vehicle under test and is equipped with high-precision sensor interfaces for measuring parameters such as temperature, pressure, flow rate, current, voltage, and power. The multi-source data acquisition unit consists of distributed data acquisition modules for data acquisition. The central control unit is used for test process control, data storage, real-time calculation, model computation, and result visualization. The testing method for the electric vehicle thermal management system includes: Set up the test system and place the vehicle to be tested in the test system for environmental immersion. Perform a working condition test on the vehicle under test and obtain the energy flow parameters of the vehicle under test under the working condition; Based on the energy flow parameters under the aforementioned operating conditions, a comprehensive evaluation index is calculated. Test results are generated based on the comprehensive evaluation indicators.

2. The test method for the electric vehicle thermal management system according to claim 1, characterized in that, The operating conditions include basic steady-state operating conditions; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating conditions includes: The vehicle under test is controlled to operate within a first stable speed range at a first fixed temperature. After the thermal management test unit enters a stable state, the steady-state test data of the vehicle under test is collected. Based on the steady-state test data, calculate the total system power consumption and component thermal load of the vehicle under test; The energy efficiency ratio of the vehicle under test is calculated based on the total system power consumption and component thermal load of the vehicle under test.

3. The test method for the electric vehicle thermal management system according to claim 2, characterized in that, The calculation of the energy efficiency ratio of the vehicle under test based on the total system power consumption and component thermal load includes: The formula for calculating the energy efficiency ratio of the vehicle under test is as follows: ； in, SEER For energy efficiency ratio, for t The heat load of the crew cabin at any given time for t Battery thermal load at all times for t The thermal load of the motor and electronic control system at any given time. for t Total system power consumption at any given time.

4. The test method for the electric vehicle thermal management system according to claim 1, characterized in that, The operating conditions include standard dynamic driving cycle operating conditions; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating conditions includes: Under a set ambient temperature, the vehicle under test is controlled to run on a chassis dynamometer according to a standard driving cycle. Collect cyclic operating condition test data of the vehicle under test; Based on the cyclic operating condition test data, the temperature standard deviation of the vehicle under test is calculated.

5. The test method for the electric vehicle thermal management system according to claim 1, characterized in that, The operating conditions include coupled dynamic environment operating conditions; wherein, performing operating condition testing on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating conditions includes: The vehicle under test is controlled to operate within a second stable speed range at a second fixed temperature. After the thermal management test unit enters a stable state, the ambient temperature of the vehicle under test is dynamically adjusted. Collect dynamic operating condition test data of the vehicle under test; Based on the dynamic operating condition test data, the PTC response delay time and the adjustment time for the passenger compartment temperature to re-stabilize of the vehicle under test are calculated.

6. The test method for the electric vehicle thermal management system according to claim 1, characterized in that, The operating conditions include extreme operating conditions; wherein, performing operating condition tests on the vehicle under test and obtaining the energy flow parameters of the vehicle under test under the operating conditions includes: Control the vehicle under test to operate under extreme conditions; Collect extreme operating condition test data of the vehicle under test; Based on the extreme operating condition test data, the temperature change range of the vehicle under test is calculated; Based on the temperature variation range of the vehicle under test, the extreme response state of the vehicle under test is determined.

7. The test method for the electric vehicle thermal management system according to claim 1, characterized in that, The calculation of the comprehensive evaluation index based on the energy flow parameters under the aforementioned operating condition includes: Based on the voltage and current values ​​of each energy-consuming component under the aforementioned operating conditions, the energy consumption value of the corresponding energy-consuming component is calculated.

8. A testing device for an electric vehicle thermal management system, characterized in that, The test system for the electric vehicle thermal management system includes a communication-connected environmental simulation chamber, a rotary drum environmental chamber, a thermal management test unit, a multi-source data acquisition unit, and a central control unit. The environmental simulation chamber provides controllable temperature, humidity, and light conditions. The rotary drum environmental chamber provides controllable temperature, humidity, and light conditions, simulates vehicle driving resistance, and operates according to a dynamic driving cycle. The thermal management test unit integrates all key components of the thermal management system of the vehicle under test and is equipped with high-precision sensor interfaces for measuring parameters such as temperature, pressure, flow rate, current, voltage, and power. The multi-source data acquisition unit consists of distributed data acquisition modules for data acquisition. The central control unit is used for test process control, data storage, real-time calculation, model computation, and result visualization. The test device for the electric vehicle thermal management system includes: The test vehicle deployment module is used to deploy the test system and place the vehicle to be tested in the test system for environmental immersion. An energy parameter acquisition module is used to perform a working condition test on the vehicle under test and acquire the energy flow parameters of the vehicle under test under the working condition. The evaluation index calculation module is used to calculate the comprehensive evaluation index based on the energy flow parameters under the aforementioned working conditions. The test result generation module is used to generate test results based on the comprehensive evaluation indicators.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for performing the method described in any one of claims 1-7.

10. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is used to execute the method described in any one of claims 1-7.

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