New energy automobile thermal management system

Abstract

The invention belongs to the technical field of thermal management, and particularly relates to a new energy automobile thermal management system which comprises a multi-state data acquisition module used for capturing specific temperature and thermal energy data generated by a battery, a motor and an electric control key component in real time when an automobile is in various running states of starting, accelerating, high speed and climbing; and the data analysis and abnormity identification module is in communication connection with the multi-state data acquisition module and is used for analyzing and calculating the acquired temperature and heat energy data, identifying whether the heat energy is in a normal working interval or not and discovering overheating and supercooling abnormal conditions. Through a multi-aspect data acquisition mode, specific temperature and heat energy data generated by a battery, a motor and electric control key components of a vehicle in various driving states can be captured in real time, an accurate data basis is provided for subsequent heat management, and the problem that data acquisition of an existing system is incomplete and inaccurate is solved.

Description

Technical Field

[0001] This invention belongs to the field of thermal management technology, specifically a thermal management system for new energy vehicles. Background Technology

[0002] With the rapid development of the new energy vehicle industry, the importance of its thermal management system is becoming increasingly prominent. Key components of new energy vehicles, such as batteries, motors, and electronic control systems, generate a significant amount of heat during vehicle operation. The performance and lifespan of these components are closely related to temperature; excessively high or low temperatures can have adverse effects. For example, batteries age more rapidly at high temperatures, reducing driving range and lifespan; at low temperatures, the battery's internal resistance increases, reducing charging and discharging efficiency. Overheating can also lead to performance degradation, malfunctions, or even damage to the motor and electronic control system.

[0003] The invention patent publication number CN112648060A discloses a thermal management system and vehicle for a new energy vehicle, belonging to the field of thermal management technology. It includes a refrigerant circuit and a coolant circuit. The refrigerant circuit includes a compressor and a liquid receiver. By adopting a compressor with gas injection and enthalpy enhancement, the subcooling degree at the condenser inlet and the temperature of the gaseous refrigerant at the compressor inlet are increased, thereby improving the heating efficiency of the system. The key point of its technical solution is to improve the system integration by using a ten-way valve to connect multiple parts.

[0004] However, the aforementioned technologies often suffer from the following drawbacks: Firstly, data collection is not comprehensive or accurate enough, often only acquiring temperature data for some key components, failing to fully understand the temperature distribution of each component under different driving conditions, resulting in inaccurate thermal management strategies. Secondly, they lack adaptability to different road conditions, unable to dynamically adjust thermal management parameters based on temperature differences when the vehicle is driving on different road conditions such as urban roads, highways, and mountain roads, making it difficult to achieve precise matching between thermal management and driving scenarios. Furthermore, the anomaly identification and alarm mechanisms of existing systems are inadequate, failing to promptly detect and handle abnormal situations such as overheating and overcooling, easily leading to safety hazards. Moreover, there are shortcomings in the remote monitoring and diagnostics of thermal management systems, making it impossible to monitor the system's operating status in real time, identify potential problems in advance, and perform maintenance.

[0005] Therefore, the present invention provides a thermal management system for new energy vehicles. Summary of the Invention

[0006] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0007] The technical solution adopted by this invention to solve its technical problem is: a new energy vehicle thermal management system according to this invention, comprising: The multi-state data acquisition module is used to capture in real time the specific temperature and thermal energy data generated by the battery, motor and key electronic control components when the vehicle is in various driving states such as starting, acceleration, high speed and climbing. The data analysis and anomaly identification module is communicatively connected to the multi-state data acquisition module. It is used to analyze and calculate the acquired temperature and thermal energy data, identify whether the thermal energy is within the normal working range, and detect overheating or overcooling anomalies. The road condition perception and parameter adjustment module is used to perceive different road conditions when the vehicle is driving on urban roads, highways, and mountain roads. Based on the temperature differences generated under different road conditions, it dynamically adjusts the heat exchange power and heat recovery intensity parameters to achieve precise matching between thermal management and driving scenarios.

[0008] A further improvement of the present invention is that the multi-state data acquisition module includes: A battery temperature sensor array is placed at different key locations on the battery to accurately collect battery temperature data under various driving conditions. The motor temperature sensor group is installed at key heat-generating parts of the motor to obtain temperature information of the motor under different operating conditions. The electronically controlled temperature sensor group is installed on the core components of the electronic control system to collect temperature data of the electronically controlled components in real time. The thermal energy acquisition unit, in conjunction with the aforementioned sensor groups, converts the acquired temperature data into corresponding thermal energy data.

[0009] A further improvement of the present invention is that the battery temperature sensor group adopts a distributed arrangement, and temperature sensors are set on the surface of each individual cell of the battery pack and at key connection points inside the battery pack to comprehensively monitor the temperature distribution of the battery. The motor temperature sensor group includes at least three sensors located at different locations, respectively in the stator, rotor and key heat dissipation areas of the motor housing. The electronically controlled temperature sensor group is equipped with independent temperature sensors for the power module and the core component of the control chip in the electronic control system.

[0010] A further improvement of the present invention is that the data analysis and anomaly identification module includes: The data preprocessing unit performs filtering and noise reduction preprocessing operations on the collected raw temperature and thermal energy data; The normal range storage unit stores the normal temperature and thermal operating range data of various components such as the battery, motor, and electronic control system under different driving conditions; The comparison and analysis unit compares and analyzes the preprocessed data with the data in the normal range storage unit to determine whether the current thermal energy is within the normal working range. The abnormal alarm unit issues corresponding overheat or overcool alarm signals when the comparison and analysis unit determines that an abnormal situation has occurred.

[0011] A further improvement of the present invention is that the data in the normal interval storage unit is obtained in the following manner: During the vehicle development phase, extensive laboratory tests and simulated driving trials are conducted to collect temperature and thermal energy data of various components such as batteries, motors, and electronic controls under different driving conditions. Statistical analysis is then performed to determine the normal operating range. During actual vehicle use, operational data from various components are continuously collected, and machine learning algorithms are used to dynamically update and optimize the data in the normal range storage unit.

[0012] A further improvement of the present invention is that the road condition perception and parameter adjustment module includes: The road condition recognition unit obtains road condition information of the vehicle's current driving through the vehicle's navigation system, wheel speed sensor, and acceleration sensor, including road type, slope, and curve radius; The parameter adjustment strategy storage unit stores the preset adjustment strategies for heat exchange power and heat recovery intensity parameters for different road conditions; The parameter adjustment execution unit, based on the road condition information identified by the road condition recognition unit, calls the corresponding adjustment strategy from the parameter adjustment strategy storage unit and dynamically adjusts the relevant parameters of the thermal management system.

[0013] A further improvement of the present invention is that the adjustment strategy in the parameter adjustment strategy storage unit is formulated based on the following factors: Differences in the heating characteristics of the battery, motor, and electronic control components under different road conditions; The impact of vehicle speed and load under different road conditions on the thermal management system; The effect of external environmental temperature, humidity and meteorological conditions on the effectiveness of thermal management.

[0014] A further improvement of the present invention is that it also includes a thermal management execution module, which is communicatively connected to the road condition sensing and parameter adjustment module, and performs corresponding thermal management operations based on dynamically adjusted parameters, including: The heat exchanger control unit controls the working state of the heat exchanger according to the adjusted heat exchange power parameters, and adjusts the flow rate and temperature of the coolant or air to achieve effective cooling or heating of the battery, motor, and electronic control components. The heat recovery unit recovers waste heat generated during vehicle operation based on adjusted heat recovery intensity parameters and converts it into usable thermal energy for use in other vehicle systems or to provide heating for the vehicle interior.

[0015] A further improvement of the present invention is that the heat exchanger control unit adopts an intelligent control algorithm to precisely control the valve opening and fan speed of the heat exchanger based on the real-time collected temperature data and the adjusted heat exchange power parameters. The heat recovery unit includes a heat exchanger and a heat storage device. The heat exchanger is used to recover waste heat, and the heat storage device stores the recovered heat energy and releases it according to the vehicle's needs.

[0016] A further improvement of the present invention is that it also includes a remote monitoring and diagnostic module, which is connected to the vehicle's thermal management system via a wireless communication network and supports the following functions: Real-time remote monitoring of the vehicle's thermal management system's operating status, including temperature data of each component, thermal management parameters, and abnormal alarm information; Analyze and diagnose the collected remote data to identify potential thermal management problems in advance and provide corresponding maintenance suggestions; Enable remote software upgrades for the thermal management system to continuously optimize system performance and functionality.

[0017] The beneficial effects of this invention are as follows: 1. The multi-state data acquisition module of this invention adopts a distributed arrangement. Temperature sensors are installed on the surface of each individual battery cell in the battery pack and at key connection points inside the battery pack. The motor temperature sensor group includes at least three sensors in different locations, respectively located in the stator, rotor, and key heat dissipation areas of the motor housing. The electronic control temperature sensor group has independent temperature sensors for the power module and core components of the control chip in the electronic control system. Simultaneously, the thermal energy acquisition unit converts the acquired temperature data into corresponding thermal energy data. This multi-faceted data acquisition method can capture in real time the specific temperature and thermal energy data generated by the battery, motor, and key electronic control components under various driving conditions, providing data for subsequent thermal management. This provides an accurate data foundation, solving the problems of incomplete and inaccurate data collection in existing systems. Secondly, the data analysis and anomaly identification module filters and denoises the collected raw data through the data preprocessing unit, and then compares and analyzes it with the normal temperature and thermal energy operating range data of each component under different driving conditions stored in the normal range storage unit to determine whether the current thermal energy is within the normal operating range. When an abnormality occurs, the anomaly alarm unit will issue corresponding overheat or overcooling alarm signals. This precise anomaly identification and alarm mechanism can promptly detect and handle abnormalities such as overheating and overcooling, effectively avoiding problems such as component performance degradation, malfunctions, or even damage caused by abnormal temperatures, thus improving the safety and reliability of the vehicle.

[0018] 2. The road condition perception and parameter adjustment module of this invention obtains the road condition information of the vehicle's current driving through the road condition recognition unit. Then, the parameter adjustment execution unit calls the corresponding adjustment strategy from the parameter adjustment strategy storage unit according to the road condition information identified by the road condition recognition unit, and dynamically adjusts the heat exchange power and heat recovery intensity parameters. This road condition adaptive thermal management method can achieve precise matching between thermal management and driving scenarios according to the temperature differences generated under different road conditions, improving the efficiency and performance of the thermal management system and solving the problem of existing systems lacking adaptability to different road conditions. Secondly, the thermal management execution module executes corresponding thermal management operations according to the dynamically adjusted parameters. The heat exchanger control unit adopts an intelligent control algorithm to accurately control the valve opening and fan speed of the heat exchanger according to the real-time collected temperature data and the adjusted heat exchange power parameters. The heat recovery unit includes a heat exchanger and a heat storage device, which can recover the waste heat generated during vehicle driving and convert it into usable thermal energy for use in other vehicle systems or to provide heating for the vehicle interior. This intelligent thermal management execution method can flexibly adjust the thermal management strategy according to the actual situation, improving energy utilization efficiency and reducing energy consumption. 3. The remote monitoring and diagnostic module of this invention connects to the vehicle's thermal management system via a wireless communication network, enabling real-time remote monitoring of the system's operational status, including temperature data of various components, thermal management parameters, and abnormal alarm information. Simultaneously, it analyzes and diagnoses the collected remote data, proactively identifying potential thermal management problems and providing corresponding maintenance suggestions. It also allows for remote software upgrades of the thermal management system to continuously optimize its performance and functionality. This remote monitoring and diagnostic function facilitates the management and maintenance of the vehicle's thermal management system for users and maintenance personnel, improving the system's maintainability and lifespan. Attached Figure Description

[0019] The invention will now be further described with reference to the accompanying drawings.

[0020] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figure 1 , This embodiment provides: a thermal management system for new energy vehicles, including: The multi-state data acquisition module is used to capture in real time the specific temperature and thermal energy data generated by the battery, motor and key electronic control components when the vehicle is in various driving states such as starting, acceleration, high speed and climbing. The multi-state data acquisition module includes: A battery temperature sensor array is placed at different key locations on the battery to accurately collect battery temperature data under various driving conditions. The battery temperature sensor group adopts a distributed arrangement, with temperature sensors installed on the surface of each individual cell in the battery pack and at key connection points inside the battery pack. For example, sensors are installed on the four sides of the square battery and at the positive and negative terminals of the battery pack, which can comprehensively monitor the temperature distribution of the battery. When the vehicle is climbing a hill, the battery outputs high power, and these sensors can obtain the temperature changes at different locations of the battery in real time, accurately collect the temperature data of the battery under various driving conditions, and comprehensively monitor the temperature distribution of the battery. The motor temperature sensor group is set in the key heat-generating parts of the motor, including at least three sensors in different locations, respectively located in the stator, rotor and key heat dissipation areas of the motor housing. For example, sensors are set near the windings of the stator, on the surface of the iron core of the rotor and at the root of the heat dissipation fins of the motor housing. When the vehicle is traveling at high speed, the motor generates a lot of heat. These sensors can obtain the temperature information of the motor under different driving conditions and accurately reflect the heating status of the motor. The motor temperature sensor group includes at least three sensors located at different locations, namely the stator, rotor, and key heat dissipation areas of the motor housing. The electronic control temperature sensor group is installed on the core components of the electronic control system. Independent temperature sensors are set for the power module and the core components of the control chip in the electronic control system. For example, sensors are installed on the heat sink of the power module and the surface of the control chip to collect temperature data of the electronic control components in real time so as to detect potential overheating problems in the electronic control system in a timely manner. The electronically controlled temperature sensor group sets up independent temperature sensors for the power module and the core components of the control chip in the electronic control system.

[0023] The thermal energy acquisition unit works in conjunction with the aforementioned sensor groups to convert the acquired temperature data into corresponding thermal energy data. For example, based on the battery surface temperature acquired by the sensors, combined with parameters such as the battery's specific heat capacity and mass, the temperature data is converted into thermal energy data generated by the battery through a specific calculation formula, providing more comprehensive information for subsequent data analysis. The data analysis and anomaly identification module communicates with the multi-state data acquisition module to analyze and calculate the acquired temperature and thermal energy data, identify whether the thermal energy is within the normal operating range, and detect overheating and overcooling anomalies. The data analysis and anomaly detection module includes: The data preprocessing unit performs filtering and noise reduction preprocessing operations on the collected raw temperature and thermal energy data; The normal operating range storage unit stores data on the normal temperature and thermal energy operating ranges of the battery, motor, and electronic control components under different driving conditions. This data is acquired through the following methods: During the vehicle development phase, extensive laboratory testing and simulated driving trials are conducted to collect temperature and thermal energy data for the battery, motor, and electronic control components under different driving conditions, and statistical analysis is performed to determine the normal operating range; During actual vehicle use, operational data from each component is continuously collected, and machine learning algorithms are used to dynamically update and optimize the data in the normal operating range storage unit; for example, as the vehicle's mileage increases, battery performance gradually degrades, and its normal operating temperature range may change. Machine learning algorithms can adjust the stored normal operating range data in real time to better reflect actual conditions. The comparison and analysis unit compares and analyzes the preprocessed data with the data in the normal range storage unit to determine whether the current thermal energy is within the normal operating range. For example, after the collected motor temperature data is preprocessed, it is compared with the normal temperature range of the motor under the same driving conditions in the normal range storage unit. If it exceeds the range, the motor temperature is judged to be abnormal.

[0024] The abnormal alarm unit issues corresponding overheat or overcooling alarm signals when the comparison and analysis unit determines that an abnormal situation has occurred. For example, when the battery temperature is too high, the alarm information is displayed on the vehicle's instrument panel, and an audible alarm is triggered to remind the driver to take timely measures.

[0025] The road condition perception and parameter adjustment module is used to perceive different road conditions when the vehicle is driving on urban roads, highways, and mountain roads. Based on the temperature differences generated under different road conditions, it dynamically adjusts the heat exchange power and heat recovery intensity parameters to achieve precise matching between thermal management and driving scenarios.

[0026] The road condition perception and parameter adjustment module includes: The road condition recognition unit acquires road condition information of the vehicle's current driving through the vehicle's navigation system, wheel speed sensors, and acceleration sensors, including road type, slope, and curve radius. For example, the navigation system can provide information such as whether the vehicle is currently driving on a city road, highway, or mountain road; the wheel speed sensors can measure the rotational speed of the wheels and, combined with information such as the vehicle's transmission ratio, calculate the vehicle's speed; the acceleration sensors can detect changes in the vehicle's acceleration to determine whether the vehicle is going uphill, downhill, or turning. The parameter adjustment strategy storage unit stores pre-set adjustment strategies for heat exchange power and heat recovery intensity parameters for different road conditions. These adjustment strategies are based on the following factors: the differences in the heating characteristics of the battery, motor, and electronic control components under different road conditions; for example, when driving on urban roads, the vehicle frequently starts and stops, and the heating of the battery and motor is different from that when driving at high speeds; the impact of the vehicle's driving speed and load on the thermal management system under different road conditions, such as when climbing a hill fully loaded, the vehicle's power demand is high, and the components heat up severely, requiring a greater heat exchange power; and the effect of external environmental meteorological conditions such as temperature and humidity on the thermal management effect, such as the thermal management system's heat dissipation efficiency decreasing in high-temperature and high-humidity environments, requiring parameter adjustments to improve heat dissipation. The parameter adjustment execution unit, based on the road condition information identified by the road condition recognition unit, calls the corresponding adjustment strategy from the parameter adjustment strategy storage unit and dynamically adjusts the relevant parameters of the thermal management system. For example, when a vehicle travels from an urban road to a highway, the road condition recognition unit detects a change in road type, and the parameter adjustment execution unit calls the parameter adjustment strategy for highway driving from the parameter adjustment strategy storage unit to increase heat exchange power to meet the higher heat demand of various components during high-speed driving.

[0027] Data in a normal interval storage unit is obtained in the following ways: During the vehicle development phase, extensive laboratory tests and simulated driving trials are conducted to collect temperature and thermal energy data of various components such as batteries, motors, and electronic controls under different driving conditions. Statistical analysis is then performed to determine the normal operating range. During actual vehicle use, operational data from various components are continuously collected, and machine learning algorithms are used to dynamically update and optimize the data in the normal range storage unit.

[0028] The thermal management execution module communicates with the road condition perception and parameter adjustment module, and performs corresponding thermal management operations based on dynamically adjusted parameters, including: The heat exchanger control unit, based on adjusted heat exchange power parameters, controls the heat exchanger's operating state and regulates the flow and temperature of coolant or air to effectively cool or heat the battery, motor, and electronic control components. Employing an intelligent control algorithm, it precisely controls the heat exchanger's valve opening and fan speed based on real-time temperature data and adjusted heat exchange power parameters. For example, when the battery temperature is too high, the heat exchanger control unit increases the coolant flow and fan speed to accelerate battery heat dissipation, based on real-time temperature data and adjusted high heat exchange power parameters. The heat exchanger control unit uses an intelligent control algorithm to precisely control the valve opening and fan speed of the heat exchanger based on real-time collected temperature data and adjusted heat exchange power parameters. The heat recovery unit, based on adjusted heat recovery intensity parameters, recovers waste heat generated during vehicle operation and converts it into usable thermal energy for use in other vehicle systems or to provide heating for the vehicle interior. The heat recovery unit includes a heat exchanger and a heat storage device. The heat exchanger recovers waste heat, for example, by exchanging heat with the high-temperature gas discharged from the motor. The heat storage device stores the recovered thermal energy and releases it as needed by the vehicle, such as using the stored thermal energy to preheat the battery when the vehicle starts, thereby improving battery performance.

[0029] The heat recovery unit includes a heat exchanger and a heat storage device. The heat exchanger is used to recover waste heat, and the heat storage device stores the recovered heat energy and releases it as needed by the vehicle.

[0030] The remote monitoring and diagnostic module connects to the vehicle's thermal management system via a wireless communication network and supports the following functions: Real-time remote monitoring of the vehicle's thermal management system's operating status, including temperature data of each component, thermal management parameters, and abnormal alarm information; for example, maintenance personnel can use the remote monitoring platform to view the temperature of the vehicle's battery, motor, and electronic control system in real time, as well as parameters such as the heat exchange power and heat recovery intensity of the thermal management system, and understand the vehicle's thermal management status in a timely manner. The system analyzes and diagnoses the collected remote data to identify potential thermal management issues in advance and provides corresponding maintenance recommendations. For example, by analyzing a large amount of remote data, it was found that the motors of a certain batch of vehicles are prone to overheating under specific road conditions. The system promptly notifies the vehicle owners to carry out maintenance and provides recommendations such as replacing the motor cooling fan.

[0031] Remote software upgrades of the thermal management system can be implemented to continuously optimize the system's performance and functionality. For example, as technology advances, more efficient thermal management algorithms can be developed, and these new algorithms can be updated into the vehicle's thermal management system via remote software upgrades to improve the system's thermal management efficiency.

[0032] It should be noted that the system's workflow is as follows: After the vehicle starts, the multi-state data acquisition module begins to collect the temperature and thermal energy data of the battery, motor, and electronic control in real time, and transmits them to the thermal energy acquisition unit for data conversion. The converted data enters the data analysis and anomaly identification module. After data preprocessing, comparison and analysis with normal range data, etc., it is determined whether there is an abnormality. If there is an abnormality, the anomaly alarm unit issues an alarm signal. Meanwhile, the road condition perception and parameter adjustment module obtains the current road condition information of the vehicle through the road condition recognition unit, calls the corresponding adjustment strategy from the parameter adjustment strategy storage unit, and the parameter adjustment execution unit dynamically adjusts the relevant parameters of the thermal management system. Based on the adjusted parameters, the thermal management execution module executes corresponding thermal management operations through the heat exchanger control unit and the heat recovery unit to achieve effective thermal management of the battery, motor, and electronic control system. In addition, the remote monitoring and diagnostic module monitors the vehicle's thermal management system in real time, analyzes and diagnoses the collected remote data, and provides functions such as remote software upgrades to ensure that the thermal management system is always in optimal working condition.

[0033] The terms "front," "back," "left," "right," "top," and "bottom" all refer to the figures in the accompanying drawings. Figure 1 Based on the perspective of the observer, the side of the device facing the observer is defined as the front, the left side of the observer is defined as the left, and so on.

[0034] In the description of this invention, it should be understood that the terms "center", "longitudinal", "lateral", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting the scope of protection of this invention.

[0035] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A thermal management system for new energy vehicles, characterized in that, include: The multi-state data acquisition module is used to capture in real time the specific temperature and thermal energy data generated by the battery, motor and key electronic control components when the vehicle is in various driving states such as starting, acceleration, high speed and climbing. The data analysis and anomaly identification module is communicatively connected to the multi-state data acquisition module. It is used to analyze and calculate the acquired temperature and thermal energy data, identify whether the thermal energy is within the normal working range, and detect overheating or overcooling anomalies. The road condition perception and parameter adjustment module is used to perceive different road conditions when the vehicle is driving on urban roads, highways, and mountain roads. Based on the temperature differences generated under different road conditions, it dynamically adjusts the heat exchange power and heat recovery intensity parameters to achieve precise matching between thermal management and driving scenarios.

2. The new energy vehicle thermal management system according to claim 1, characterized in that: The multi-state data acquisition module includes: A battery temperature sensor array is placed at different key locations on the battery to accurately collect battery temperature data under various driving conditions. The motor temperature sensor group is installed at key heat-generating parts of the motor to obtain temperature information of the motor under different operating conditions. The electronically controlled temperature sensor group is installed on the core components of the electronic control system to collect temperature data of the electronically controlled components in real time. The thermal energy acquisition unit, in conjunction with the aforementioned sensor groups, converts the acquired temperature data into corresponding thermal energy data.

3. The new energy vehicle thermal management system according to claim 1, characterized in that: The battery temperature sensor group adopts a distributed arrangement, with temperature sensors installed on the surface of each individual battery cell and at key connection points inside the battery group to comprehensively monitor the temperature distribution of the battery. The motor temperature sensor group includes at least three sensors located at different locations, respectively in the stator, rotor and key heat dissipation areas of the motor housing. The electronically controlled temperature sensor group is equipped with independent temperature sensors for the power module and the core component of the control chip in the electronic control system.

4. A new energy vehicle thermal management system according to claim 1, characterized in that: The data analysis and anomaly detection module includes: The data preprocessing unit performs filtering and noise reduction preprocessing operations on the collected raw temperature and thermal energy data; The normal range storage unit stores the normal temperature and thermal operating range data of various components such as the battery, motor, and electronic control system under different driving conditions; The comparison and analysis unit compares and analyzes the preprocessed data with the data in the normal range storage unit to determine whether the current thermal energy is within the normal working range. The abnormal alarm unit issues corresponding overheat or overcool alarm signals when the comparison and analysis unit determines that an abnormal situation has occurred.

5. A new energy vehicle thermal management system according to claim 1, characterized in that: The data in the normal interval storage unit is obtained in the following way: During the vehicle development phase, extensive laboratory tests and simulated driving trials are conducted to collect temperature and thermal energy data of various components such as batteries, motors, and electronic controls under different driving conditions. Statistical analysis is then performed to determine the normal operating range. During actual vehicle use, operational data from various components are continuously collected, and machine learning algorithms are used to dynamically update and optimize the data in the normal range storage unit.

6. A new energy vehicle thermal management system according to claim 1, characterized in that: The road condition perception and parameter adjustment module includes: The road condition recognition unit obtains road condition information of the vehicle's current driving through the vehicle's navigation system, wheel speed sensor, and acceleration sensor, including road type, slope, and curve radius; The parameter adjustment strategy storage unit stores the preset adjustment strategies for heat exchange power and heat recovery intensity parameters for different road conditions; The parameter adjustment execution unit, based on the road condition information identified by the road condition recognition unit, calls the corresponding adjustment strategy from the parameter adjustment strategy storage unit and dynamically adjusts the relevant parameters of the thermal management system.

7. A new energy vehicle thermal management system according to claim 1, characterized in that: The adjustment strategy in the parameter adjustment strategy storage unit is formulated based on the following factors: Differences in the heating characteristics of the battery, motor, and electronic control components under different road conditions; The impact of vehicle speed and load under different road conditions on the thermal management system; The effect of external environmental temperature, humidity and meteorological conditions on the effectiveness of thermal management.

8. A new energy vehicle thermal management system according to claim 1, characterized in that: It also includes a thermal management execution module, which is communicatively connected to the road condition sensing and parameter adjustment module. This module performs corresponding thermal management operations based on dynamically adjusted parameters, including: The heat exchanger control unit controls the working state of the heat exchanger according to the adjusted heat exchange power parameters, and adjusts the flow rate and temperature of the coolant or air to achieve effective cooling or heating of the battery, motor, and electronic control components. The heat recovery unit recovers waste heat generated during vehicle operation based on adjusted heat recovery intensity parameters and converts it into usable thermal energy for use in other vehicle systems or to provide heating for the vehicle interior.

9. A thermal management system for new energy vehicles according to claim 1, characterized in that: The heat exchanger control unit adopts an intelligent control algorithm to precisely control the valve opening and fan speed of the heat exchanger based on the real-time collected temperature data and the adjusted heat exchange power parameters. The heat recovery unit includes a heat exchanger and a heat storage device. The heat exchanger is used to recover waste heat, and the heat storage device stores the recovered heat energy and releases it according to the vehicle's needs.

10. A thermal management system for new energy vehicles according to claim 1, characterized in that: It also includes a remote monitoring and diagnostic module, which connects to the vehicle's thermal management system via a wireless communication network and supports the following functions: Real-time remote monitoring of the vehicle's thermal management system's operating status, including temperature data of each component, thermal management parameters, and abnormal alarm information; Analyze and diagnose the collected remote data to identify potential thermal management problems in advance and provide corresponding maintenance suggestions; Enable remote software upgrades for the thermal management system to continuously optimize system performance and functionality.

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