CN-120928086-B - New energy automobile thermal management test system and method

CN120928086BCN 120928086 BCN120928086 BCN 120928086BCN-120928086-B

Abstract

The application provides a heat management test system and method for a new energy automobile, which relate to the technical field of heat management tests and are used for generating a first control signal and a second control signal based on power load parameters and sending the first control signal and the second control signal to a heat source simulator, collecting first heat response data corresponding to the first control signal and second heat response data corresponding to the second control signal, determining a heat transfer delay characteristic value between a power assembly and a cooling pipeline through phase offset of the first control signal and the first heat response data, determining a heat exchange loss factor between a battery pack and the cooling pipeline through amplitude attenuation of the second control signal and the second heat response data, determining a heat response abnormality coefficient of the heat management system by combining the heat transfer delay characteristic value and the heat exchange loss factor, and judging that the heat management system is abnormal in dynamic response and triggers a test alarm when the heat response abnormality coefficient is larger than a preset threshold. The scheme of the application can realize the simulation test of the thermal management strategy of the new energy automobile under various working conditions.

Inventors

ZHAO YUTAO
HAO JIAN
HUANG QING

Assignees

深圳泰瑞谷科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250822

Claims (9)

1. The new energy automobile thermal management testing system comprises a power assembly rack, a heat source simulator and a cooling pipeline, and is characterized by comprising the following steps: receiving power load parameters fed back by a power assembly rack; Generating a first control signal and a second control signal based on the power load parameter, and sending the first control signal and the second control signal to a heat source simulator, wherein the first control signal is used for simulating heat source characteristics of a power assembly, and the second control signal is used for simulating heat interaction characteristics of a battery pack; collecting first thermal response data corresponding to the first control signal and second thermal response data corresponding to the second control signal; Determining a heat transfer delay characteristic value between the power train and the cooling pipeline through the phase offset of the first control signal and the first thermal response data; determining a heat exchange loss factor between the battery pack and the cooling pipeline through the amplitude attenuation of the second control signal and the second thermal response data; Determining a thermal response abnormality coefficient of the thermal management system by combining the thermal transfer delay characteristic value and the thermal exchange loss factor, and judging that the thermal management system dynamically responds to abnormality and triggering a test alarm when the thermal response abnormality coefficient is larger than a preset threshold value; wherein determining a thermal transfer delay characteristic value between the power train and the cooling circuit by the phase offset of the first control signal and the first thermal response data specifically comprises: Extracting a temperature rising time point of the first control signal and a temperature peak time point of the first thermal response data; calculating a time difference between the temperature rise time point and the temperature peak time point; the time difference value is mapped to a quantization index of the heat transfer delay characteristic value.
2. The method of claim 1, wherein the power load parameter fed back by the powertrain gantry is received via a controller area network bus.
3. The method of claim 1, wherein generating the first control signal and the second control signal based on the power load parameter comprises: inputting power load parameters into a pre-trained thermal characteristic prediction model, wherein the thermal characteristic prediction model establishes a mapping relation between power load and heat source characteristics based on historical test data; Outputting a heating value and a temperature change curve of the power assembly under the current load through the thermal characteristic prediction model, and generating a first control signal for controlling the heat source simulator; determining a thermal coupling effect characteristic value of the battery pack under the power load parameter based on the physical position relation between the power assembly and the battery pack and the heat conduction path; And generating a second control signal for controlling the heat source simulator according to the thermal coupling effect characteristic value.
4. The method of claim 1, wherein determining a heat exchange loss factor between the battery pack and the cooling circuit from the magnitude delta of the second control signal and the second thermal response data comprises: acquiring a set temperature peak value of the second control signal and an actual temperature peak value of the second thermal response data; Calculating the absolute value of the difference between the set temperature peak value and the actual temperature peak value; and normalizing the absolute value of the difference value by combining the real-time flow data of the cooling pipeline to obtain a heat exchange loss factor between the battery pack and the cooling pipeline.
5. The method of claim 1, wherein determining a thermal response anomaly coefficient for a thermal management system in combination with the heat transfer delay characteristic value and the heat exchange loss factor comprises: performing a weighted summation operation on the heat transfer delay characteristic value and the heat exchange loss factor; Introducing a correction factor of the flow fluctuation rate of the cooling pipeline to carry out compensation calculation on the weighted summation result; and taking the compensation calculation result as a thermal response abnormal coefficient of the thermal management system.
6. The method of claim 1, wherein the thermal response anomaly coefficient is a characteristic measure of how far the thermal response of the thermal management system as a whole deviates from a normal state.
7. The method of claim 1, wherein the first thermal response data is actual temperature change response data generated by the powertrain simulation area upon receipt of the first control signal.
8. The method of claim 1, wherein the second thermal response data is actual temperature change response data generated by the battery pack simulation area after receiving the second control signal.
9. A new energy automobile thermal management testing system for executing the new energy automobile thermal management testing method according to any one of claims 1 to 8, characterized in that the new energy automobile thermal management testing system comprises: the acquisition module is used for receiving power load parameters fed back by the power assembly rack; the characteristic processing module is used for generating a first control signal and a second control signal based on the power load parameter, and sending the first control signal and the second control signal to the heat source simulator, wherein the first control signal is used for simulating the heat source characteristic of the power assembly, and the second control signal is used for simulating the heat interaction characteristic of the battery pack; the characteristic processing module is further used for collecting first thermal response data corresponding to the first control signal and second thermal response data corresponding to the second control signal; the characteristic processing module is further used for determining a heat transfer delay characteristic value between the power assembly and the cooling pipeline through the phase offset of the first control signal and the first thermal response data; The characteristic processing module is further used for determining a heat exchange loss factor between the battery pack and the cooling pipeline through the amplitude attenuation of the second control signal and the second thermal response data; and the execution module is used for determining a thermal response abnormality coefficient of the thermal management system by combining the thermal transfer delay characteristic value and the heat exchange loss factor, and judging that the thermal management system dynamically responds to abnormality and triggering a test alarm when the thermal response abnormality coefficient is larger than a preset threshold value.

Description

New energy automobile thermal management test system and method Technical Field The application relates to the technical field of thermal management testing, in particular to a system and a method for testing thermal management of a new energy automobile. Background The new energy automobile can generate a large amount of heat in the running process, if the heat cannot be conducted and dissipated effectively in time, the service life of a battery, the performance and the safety of the whole automobile are directly influenced, and therefore, the development of test evaluation of a thermal management system becomes a key link in the development process of the whole automobile, and the adjustment capability and response characteristics of a thermal management strategy under different running conditions can be comprehensively evaluated by simulating the thermal load change under actual working conditions, so that the optimization design and the reliability verification of the thermal management strategy are supported. The existing new energy automobile thermal management test method generally relies on the actual whole automobile or physical system operation condition to test, has long test period, limited environment and difficult accurate control of heat source characteristics and heat transfer parameters, especially has obvious defects in the aspect of evaluating the response performance of a thermal management system, one of the key problems is that a dynamic heat source simulation mechanism capable of simulating various power loads and heat interaction states is lacked, the heat transfer delay and the energy attenuation characteristics between the cooling system and the heat source are difficult to accurately quantify, so that the dynamic response capability of the thermal management system cannot be quantitatively evaluated, the test means is difficult to cover the boundary condition of the working condition, and the performance blind area of the thermal management strategy under the boundary working condition cannot be fully exposed and verified. Therefore, how to realize the simulation test of the thermal management strategy of the new energy automobile under various working conditions becomes a difficult problem in the industry. Disclosure of Invention The application provides a system and a method for testing thermal management of a new energy automobile, which can realize the simulation test of the thermal management strategy of the new energy automobile under various working conditions. In a first aspect, the present application provides a method for testing thermal management of a new energy automobile, where the system for testing thermal management of a new energy automobile includes a power assembly rack, a heat source simulator, and a cooling pipeline, and the method is characterized in that the method includes: receiving power load parameters fed back by a power assembly rack; Generating a first control signal and a second control signal based on the power load parameter, and sending the first control signal and the second control signal to a heat source simulator, wherein the first control signal is used for simulating heat source characteristics of a power assembly, and the second control signal is used for simulating heat interaction characteristics of a battery pack; collecting first thermal response data corresponding to the first control signal and second thermal response data corresponding to the second control signal; Determining a heat transfer delay characteristic value between the power train and the cooling pipeline through the phase offset of the first control signal and the first thermal response data; determining a heat exchange loss factor between the battery pack and the cooling pipeline through the amplitude attenuation of the second control signal and the second thermal response data; And determining a thermal response abnormal coefficient of the thermal management system by combining the thermal transfer delay characteristic value and the heat exchange loss factor, and judging that the thermal management system dynamically responds to the abnormality and triggering a test alarm when the thermal response abnormal coefficient is larger than a preset threshold value. In this embodiment, the power load parameters fed back by the powertrain gantry are received via the controller area network bus. In this embodiment, generating the first control signal and the second control signal based on the power load parameter specifically includes: inputting power load parameters into a pre-trained thermal characteristic prediction model, wherein the thermal characteristic prediction model establishes a mapping relation between power load and heat source characteristics based on historical test data; Outputting a heating value and a temperature change curve of the power assembly under the current load through the thermal characteristic prediction model, and generating a first control signal