Battery heat dissipation management system and method for new energy automobile

Abstract

The invention provides a battery heat dissipation management system and method for a new energy automobile, and the method comprises the steps: determining the heat exchange characteristics of a battery in the driving process through the heat load characteristics and the internal temperature of the battery in the driving process of the new energy automobile; according to the heat exchange characteristics and the distribution condition of battery cooling liquid in the new energy automobile, the convection heat exchange efficiency of the battery in the running process of the new energy automobile is determined; when the convective heat exchange efficiency is lower than the cooling demand quantity, the cooling deviation of the battery in the running process of the new energy automobile is determined according to the internal temperature of the battery and the battery safety temperature of the new energy automobile; according to the cooling deviation and the convection heat exchange efficiency, distribution adjustment is conducted on the contact area between the battery cooling liquid and the battery surface, and the distribution characteristics of the battery cooling liquid in the new energy automobile are obtained. Based on the scheme, real-time feedback regulation of the battery cooling liquid in the new energy automobile can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of new energy vehicles, and more specifically, to a battery heat dissipation management system and method for new energy vehicles. Background Art

[0002] New energy vehicles are one of the key directions of global automotive industry development in recent years, and its core driving forces include environmental protection, energy structure adjustment and technological progress. As one of the core components of new energy vehicles, batteries play a vital role in their development. In the future, with the continuous innovation of battery technology and the coordinated development of the industrial chain, new energy vehicles will be more widely used around the world, making important contributions to sustainable transportation and energy transformation.

[0003] Traditional cooling systems for batteries in new energy vehicles usually use preset coolant flows and paths, and adjust the temperature through fixed cooling strategies during battery operation, thus failing to fully consider the changes in thermal load of the battery under different operating conditions, resulting in the cooling system being over-cooled in some cases and under-cooled in other cases, which in turn affects battery performance and efficiency. Fixed coolant flow cannot be dynamically adjusted according to the thermal characteristics of the battery. The battery will generate more heat when driving at high speeds or discharging at high power, and less heat when working at low power or at rest. Traditional systems cannot respond to these changes in a timely manner. When the heat load is high, the coolant may not be enough to quickly take away the generated heat, causing local overheating of the battery and increasing the risk of thermal runaway; when the heat load is low, the coolant may be excessive, resulting in waste of coolant, reducing overall energy efficiency, and increasing unnecessary energy consumption. Therefore, how to achieve real-time feedback regulation of battery coolant in new energy vehicles has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a battery heat dissipation management system and method for new energy vehicles, which can realize real-time feedback regulation of battery coolant in new energy vehicles.

[0005] In a first aspect, the present application provides a method for adjusting the distribution of a battery coolant, comprising: Monitor the internal temperature of the battery and the external temperature of the battery during the driving of a new energy vehicle, and then determine the cooling demand of the battery in the new energy vehicle through the difference characteristics between the internal temperature of the battery and the external temperature of the battery; determine the heat transfer characteristics of the battery during driving through the heat load characteristics of the battery during the driving of the new energy vehicle and the internal temperature of the battery, and determine the convective heat transfer efficiency of the battery during the driving of the new energy vehicle according to the heat transfer characteristics and the distribution of the battery coolant in the new energy vehicle; when the convective heat transfer efficiency is lower than the cooling demand, determine the cooling deviation of the battery during the driving of the new energy vehicle based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle; adjust the distribution of the contact area between the battery coolant and the battery surface according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0006] In some embodiments, determining the cooling demand of the battery in the new energy vehicle through the difference characteristics between the internal temperature of the battery and the external temperature of the battery specifically includes: Obtain the standard heat transfer efficiency of the battery in the new energy vehicle; Extract the difference characteristics between the internal temperature of the battery and the external temperature of the battery from the historical temperature data during the driving of the new energy vehicle; Adaptively adjust the standard heat transfer efficiency through the difference characteristics to obtain the cooling demand of the battery in the new energy vehicle.

[0007] In some embodiments, determining the heat transfer characteristics of the battery during driving through the heat load characteristics of the battery during the driving of the new energy vehicle and the internal temperature of the battery specifically includes: Extract the heat load characteristics of the battery during the driving of the new energy vehicle; Determine the heat release characteristic values of each local area in the battery through the heat load characteristics; Determine the heat transfer amount of each local area of the battery during driving according to the heat release characteristic values of each local area and the internal temperature of the battery; Determine the heat transfer characteristics of the battery during driving based on all the heat transfer amounts.

[0008] In some embodiments, extracting the heat load characteristics of the battery during the driving of the new energy vehicle specifically includes: Obtain the driving speed information of the new energy vehicle and the discharge condition of the battery; Determine the local heat release information of the new energy vehicle in each speed interval based on the discharge condition and the driving speed information; Determine the heat load characteristics of the battery during the driving of the new energy vehicle through the local heat release information in each speed interval.

[0009] In some embodiments, determining the cooling deviation of the battery during the driving of a new energy vehicle based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle specifically includes: Obtain the battery safety temperature of the new energy vehicle during driving; Compare the deviation between the internal temperature of the battery and the battery safety temperature to obtain the cooling deviation of the battery during the driving of the new energy vehicle.

[0010] In some embodiments, distributing and adjusting the contact area between the battery coolant and the battery surface according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle specifically includes: Adjust the distribution of the battery coolant through the cooling deviation to obtain the contact area between the adjusted battery coolant and the battery; Determine the heat transfer value of the battery in the new energy vehicle after adjustment according to the contact area and the convective heat transfer efficiency; Continue to perform feedback optimization on the distribution of the battery coolant according to the heat transfer value to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0011] In some embodiments, a temperature sensor is used to monitor the internal temperature of the battery and the external temperature of the battery of the new energy vehicle.

[0012] In a second aspect, the present application provides a battery heat dissipation management system for a new energy vehicle, including a coolant adjustment unit, and the coolant adjustment unit includes: A monitoring module, configured to monitor the internal temperature of the battery and the external temperature of the battery during the driving of the new energy vehicle, and then determine the cooling demand of the battery in the new energy vehicle through the difference characteristics between the internal temperature of the battery and the external temperature of the battery; A processing module, configured to determine the heat transfer characteristics of the battery during driving through the heat load characteristics of the battery during the driving of the new energy vehicle and the internal temperature of the battery, and determine the convective heat transfer efficiency of the battery during the driving of the new energy vehicle according to the heat transfer characteristics and the distribution of the battery coolant in the new energy vehicle; The processing module is further configured to, when the convective heat transfer efficiency is lower than the cooling demand, determine the cooling deviation of the battery during the driving of the new energy vehicle based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle; An execution module, configured to distribute and adjust the contact area between the battery coolant and the battery surface according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0013] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned method for adjusting the distribution of battery coolant.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes run on a computer, the computer is enabled to execute the above-mentioned method for adjusting the distribution of battery coolant.

[0015] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects: In a battery heat dissipation management system and method for a new energy vehicle provided by the present application, the internal temperature of the battery and the external temperature of the battery during the driving of the new energy vehicle are monitored, and then the cooling demand of the battery in the new energy vehicle is determined through the difference characteristics between the internal temperature of the battery and the external temperature of the battery; the heat transfer characteristics of the battery during driving are determined through the heat load characteristics of the battery during the driving of the new energy vehicle and the internal temperature of the battery, and the convective heat transfer efficiency of the battery during the driving of the new energy vehicle is determined according to the heat transfer characteristics and the distribution of the battery coolant in the new energy vehicle; when the convective heat transfer efficiency is lower than the cooling demand, the cooling deviation of the battery during the driving of the new energy vehicle is determined based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle; the contact area between the battery coolant and the battery surface is adjusted according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0016] It can be seen that in this application, the contact area between the battery coolant and the battery surface is adjusted according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle. Furthermore, based on the distribution characteristics of the battery coolant, real-time feedback adjustment of the distribution of the battery coolant in the new energy vehicle is performed. First, the convective heat transfer efficiency reflects the heat exchange efficiency between the battery and the coolant and is a key parameter for judging the battery thermal management effect. By calculating the convective heat transfer efficiency according to the internal temperature of the battery, the coolant distribution characteristics, and the heat transfer characteristics, the new energy vehicle can evaluate the flow and heat exchange of the battery coolant in real time. When the convective heat transfer efficiency is low, it indicates that the heat exchange effect between the battery and the coolant is poor, which will cause the local temperature of the battery to be too high and increase the risk of overheating. On the contrary, if the convective heat transfer efficiency is high, the battery heat can be taken away more effectively, which helps to keep the battery within the safe operating temperature range. Then, by determining the cooling deviation, the difference between the internal temperature of the battery and the set safe temperature can be obtained. When the cooling deviation is large, it means that the coolant fails to effectively take away the heat, and the battery temperature may be too high or too low, thus affecting the safety and performance of the battery. The dynamic monitoring and adjustment of the cooling deviation enable the coolant to be precisely adjusted according to the real-time changes in the battery temperature, so as to ensure that the battery temperature is within the optimal range under different driving conditions, which helps to optimize the use efficiency of the coolant, ensure the efficient and safe operation of the battery, extend the battery life, and improve the overall performance of the new energy vehicle. In summary, based on the above solutions, real-time feedback adjustment of the battery coolant in the new energy vehicle can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 is an exemplary flowchart of a method for adjusting the distribution of battery coolant according to some embodiments of the present application; Figure 2 is a cooling logic diagram of a new energy vehicle battery according to some embodiments of the present application; Figure 3 is a schematic flowchart for determining the distribution characteristics of battery coolant according to some embodiments of the present application; Figure 4 is a schematic structural diagram of a coolant adjustment unit according to some embodiments of the present application; Figure 5Schematic diagram of the structure of a computer device for implementing a method for adjusting the distribution of battery coolant as shown in some embodiments of the present application. Detailed implementation manners

[0019] To better understand the technical solutions of the present application, the technical solutions of the present application will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0020] Refer to Figure 1 , which is an exemplary flowchart of a method for adjusting the distribution of battery coolant as shown in some embodiments of the present application. The method for adjusting the distribution of battery coolant mainly includes the following steps: In step 101, monitor the internal temperature of the battery and the external temperature of the battery during the driving of the new energy vehicle, and then determine the cooling demand of the battery in the new energy vehicle based on the difference characteristics between the internal temperature of the battery and the external temperature of the battery.

[0021] It should be noted that in the present application, the internal temperature of the battery represents the temperature of each area inside the battery of the new energy vehicle; the external temperature of the battery represents the temperature of the external environment of the battery of the new energy vehicle; a temperature sensor is used to monitor the internal temperature of the battery and the external temperature of the battery of the new energy vehicle. Specifically, when implemented, temperature sensors are installed inside and outside each local area of the battery of the new energy vehicle to monitor the internal and external temperatures of the battery of the new energy vehicle in real time. The set of the internal temperature of the battery at the current moment monitored can be used as the internal temperature of the battery, and the set of the external temperature of the battery at the current moment monitored can be used as the external temperature of the battery.

[0022] In some embodiments, refer to Figure 2 As shown, this figure is a cooling logic diagram of a new energy vehicle battery as shown in some embodiments of the present application. The air flow logic of a new energy vehicle battery cooling is shown in this figure. First, external air is introduced into the vehicle cooling and heating device, where the air may be cooled or heated as needed to meet the temperature requirements of the battery pack. Then, the internal air with adjusted temperature is guided to flow towards the battery pack to help maintain or adjust the temperature of the battery pack.

[0023] In the battery pack, air flow helps dissipate heat or provide necessary heat to keep the battery within the optimal operating temperature range. After that, the air continues to flow towards the fan, and the fan discharges this air into the external environment. This system improves energy efficiency by recycling internal air and ensures that the battery pack can operate stably under various environmental conditions. The dotted arrows in the figure represent the return path of the air, showing the circulating flow of the air in the system.

[0024] In some embodiments, the cooling demand of the battery in a new energy vehicle can be determined by the difference feature between the internal temperature of the battery and the external temperature of the battery, which can be achieved by the following steps: Obtain the standard heat exchange efficiency of the battery in the new energy vehicle; Extract the difference feature between the internal temperature of the battery and the external temperature of the battery from the historical temperature data during the driving of the new energy vehicle; Adaptively adjust the standard heat exchange efficiency through the difference feature to obtain the cooling demand of the battery in the new energy vehicle.

[0025] When specifically implemented, first, obtaining the standard heat exchange efficiency of the battery in the new energy vehicle can be achieved in the following way, that is: obtain the standard heat exchange efficiency of the battery from the user manual of the new energy vehicle; then, extracting the difference feature between the internal temperature of the battery and the external temperature of the battery from the historical temperature data during the driving of the new energy vehicle can be achieved in the following way, that is: collect the internal temperature value and the external temperature value of the battery once every fixed interval (default is 1 s) during the driving of the new energy vehicle, so as to take the set of all temperature values within a preset time period (the most recent 1 hour) as the historical temperature data during the driving of the new energy vehicle, and calculate the difference between the internally collected temperature value and the externally collected temperature value each time as the corresponding difference value, so as to calculate the standard deviation of all difference values as the temperature difference fluctuation degree, and take the difference between the internal temperature of the battery and the external temperature of the battery as the current temperature difference, so that the product of the current temperature difference and the temperature difference fluctuation value can be used as the difference feature between the internal temperature of the battery and the external temperature of the battery; finally, adaptively adjusting the standard heat exchange efficiency through the difference feature to obtain the cooling demand of the battery in the new energy vehicle can be achieved in the following way, that is: initialize an adaptive adjustment model based on data driving, take the historical temperature data during the driving of the new energy vehicle as the driving data source of this adaptive adjustment model, take the difference feature as the adjustment parameter of this adaptive adjustment model, use this adaptive adjustment model to adaptively adjust the standard heat exchange efficiency, so as to take the adjusted standard heat exchange efficiency as the cooling demand of the battery in the new energy vehicle.

[0026] It should be noted that in this application, the cooling demand represents the minimum heat exchange efficiency requirement of the battery cooling system; the standard heat exchange efficiency represents the heat exchange efficiency of the battery cooling system under ideal working conditions; the difference feature represents the difference between the internal temperature of the battery and the external temperature. When the temperature difference is large, it indicates that the efficiency of the cooling system is low; the adaptive adjustment model is a data-driven intelligent optimization method. By obtaining and analyzing historical data in real time, it dynamically adjusts system parameters to cope with changes in the environment and working conditions. In the battery thermal management system, when initializing this adaptive adjustment model, the historical temperature data serves as the driving data source to reveal the temperature change trend of the battery under different working conditions, and the difference feature serves as the adjustment parameter of the model, reflecting the difference between the internal temperature of the battery and the external temperature, helping the system identify the change demand of the heat exchange efficiency. This adaptive adjustment model analyzes and learns the historical temperature data through algorithms (such as machine learning or regression analysis), identifies the relationship between the temperature change and the heat exchange efficiency, and adjusts the standard heat exchange efficiency accordingly. The adaptive adjustment model will dynamically optimize the cooling demand according to the input of real-time data, ensuring that the thermal management system of the battery can adaptively adjust the cooling effect according to the actual working conditions, improve the heat exchange efficiency, and ensure that the battery operates within a safe temperature range.

[0027] In step 102, the heat exchange characteristics of the battery during driving are determined based on the heat load characteristics of the battery during driving of the new energy vehicle and the internal temperature of the battery, and the convective heat exchange efficiency of the battery during driving of the new energy vehicle is determined according to the heat exchange characteristics and the distribution of the battery coolant in the new energy vehicle.

[0028] In some embodiments, the determination of the heat exchange characteristics of the battery during driving based on the heat load characteristics of the battery during driving of the new energy vehicle and the internal temperature of the battery can be implemented by the following steps: Extract the heat load characteristics of the battery during driving of the new energy vehicle; Determine the heat release characteristic values of each local area in the battery based on the heat load characteristics; Determine the heat exchange amount of each local area of the battery during driving according to the heat release characteristic values of each local area and the internal temperature of the battery; Determine the heat exchange characteristics of the battery during driving based on all the heat exchange amounts.

[0029] In specific implementation, first, extract the heat load characteristics of the battery during the driving of a new energy vehicle; second, the heat release characteristic values of each local area in the battery can be determined through the heat load characteristics in the following way, that is: for each local area, obtain the heat release amount of the local area in each speed range from the heat load characteristics, and thus take the average value of all heat release amounts as the heat release characteristic value of the local area in the battery; then, the heat exchange amounts of each local area of the battery during driving can be determined according to the heat release characteristic values of each local area and the internal temperature of the battery in the following steps, that is: for each local area, obtain the initial temperature of the local area when the new energy vehicle starts to drive, take the sum of the heat release characteristic value of the local area and the initial temperature as the theoretical temperature inside the battery without heat exchange, and thus take the difference between the theoretical temperature and the value of the internal temperature of the battery in the local area as the heat exchange amount of the local area during driving. Through the above method, the heat exchange amounts of each local area of the battery during driving can be obtained; finally, the heat exchange characteristics of the battery during driving can be determined based on all the heat exchange amounts in the following way, that is: take the set of all heat exchange amounts as the heat exchange characteristics of the battery during driving.

[0030] It should be noted that in this application, the heat exchange characteristics represent the characteristics of the degree of heat exchange between the battery and the coolant; the heat exchange amount represents the total value of the heat exchanged between the battery and the coolant within a specific time; the heat release characteristic value represents the quantitative characteristic of the heat generated by the battery during the discharge process.

[0031] Preferably, in the above embodiment, the heat load characteristics of the battery during the driving of a new energy vehicle can be extracted in the following steps: Obtain the driving speed information of the new energy vehicle and the discharge condition of the battery; Based on the discharge condition and the driving speed information, determine the local heat release information of the new energy vehicle in each speed range; Determine the heat load characteristics of the battery during the driving of the new energy vehicle through the local heat release information in each speed range.

[0032] In specific implementation, first, the driving speed information of the new energy vehicle and the discharge condition of the battery can be obtained in the following manner: the driving speed within a specified time period (by default, the most recent 1 hour) can be directly obtained through the vehicle's GPS system or in-vehicle CAN bus, and the set of all driving speeds is used as the driving speed information of the new energy vehicle. The discharge current, voltage, power output, and state of charge of the battery can be obtained in the battery management system, and the set of the above discharge parameters is used as the discharge condition of the battery. Then, the local heat release information of the new energy vehicle in each speed range can be determined based on the discharge condition and the driving speed information in the following manner: the speed range from 30 - 150 km / h can be divided into 14 speed ranges at intervals of 10 km / h, with additional speed ranges below 30 km / h and above 150 km / h. For each speed range, the driving time periods corresponding to each driving speed within the speed range are screened out from the driving speed information, and thus the discharge parameters during this driving time period are screened out from the discharge condition of the battery. A thermodynamic model (for example, a heat source model based on internal resistance calculation) is used to estimate the heat release of each local area of the battery under this discharge parameter, and the set of all heat releases is used as the local heat release information of the new energy vehicle in the speed range. Through the above method, the local heat release information of the new energy vehicle in each speed range can be obtained. Finally, the heat load characteristics of the battery during the driving of the new energy vehicle can be determined through the local heat release information of each speed range in the following manner: the set of all local heat release information is used as the heat load characteristics of the battery during the driving of the new energy vehicle.

[0033] It should be noted that in this application, the heat load characteristics represent the heat characteristics generated by the battery during operation; the discharge condition represents the discharge state of the battery during current driving; the driving speed information represents the speed data of the new energy vehicle during driving; the thermodynamic model is a mathematical tool for simulating and calculating the internal heat transfer process of a physical system, used to predict the thermal behavior of the system under specific conditions. In battery thermal management, the thermodynamic model usually uses the physical and electrochemical characteristics of the battery to estimate the generation and distribution of internal heat sources. For example, the heat source model based on internal resistance calculation estimates the heat release by calculating the heat generated when the internal current of the battery flows through each part of the battery. The internal resistance is the resistance encountered when the internal current of the battery flows, and it is positively correlated with the increase in battery temperature. An increase in internal resistance will lead to more heat generation. By modeling the internal resistance distribution of each local area of the battery, the heat release of each area can be accurately calculated, providing a basis for the subsequent design and optimization of the cooling system. This thermodynamic model can take into account factors such as the battery working environment, discharge rate, and temperature, providing accurate heat estimation, thereby improving the efficiency and safety of battery thermal management.

[0034] In some embodiments, the convective heat transfer efficiency of the battery during the driving of a new energy vehicle can be determined according to the heat transfer characteristics and the distribution of the battery coolant in the new energy vehicle by the following steps: Obtain the distribution of the battery coolant in the new energy vehicle; For each local area in the battery, extract the contact area between the coolant and the battery from the distribution; Determine the heat transfer efficiency value of the local area according to the heat transfer characteristics and the contact area, and then obtain the heat transfer efficiency values of all local areas in the battery; Determine the convective heat transfer efficiency of the battery during the driving of the new energy vehicle through all the heat transfer efficiency values.

[0035] Specifically, when implemented, first, obtaining the distribution of the battery coolant in the new energy vehicle can be achieved in the following way, that is: use a sensor network to collect the flow rate changes of the coolant in each local area of the new energy vehicle, and then use the fluid mechanics simulation method to simulate the distribution of the battery coolant, and obtain the contact area between the battery coolant and each local area in the battery from the simulation results, and take the set of all contact areas as the distribution of the battery coolant in the new energy vehicle; second, for each local area in the battery, extracting the contact area between the coolant and the battery from the distribution can be achieved in the following way, that is: for each local area in the battery, screen out the contact area between the coolant and the battery from the distribution; then, determining the heat transfer efficiency value of the local area according to the heat transfer characteristics and the contact area, and then obtaining the heat transfer efficiency values of all local areas in the battery can be achieved in the following way, that is: take the product of the heat transfer amount and the contact area of the local area in the heat transfer characteristics as the heat transfer efficiency value of the local area, and the heat transfer efficiency values of all local areas in the battery can be obtained through the above method; finally, determining the convective heat transfer efficiency of the battery during the driving of the new energy vehicle through all the heat transfer efficiency values can be achieved in the following way, that is: take the mode of all the heat transfer efficiency values as the convective heat transfer efficiency of the battery during the driving of the new energy vehicle.

[0036] It should be noted that in this application, the convective heat transfer efficiency is a parameter representing the heat transfer efficiency between the battery and the coolant; the distribution of the battery coolant represents the spatial distribution of the battery coolant in the battery system; the contact area represents the area of the contact region between the coolant and the battery surface; the heat transfer efficiency value is a quantitative value for evaluating the heat exchange efficiency between the coolant and the battery.

[0037] In step 103, when the convective heat transfer efficiency is lower than the cooling requirement, determine the cooling deviation of the battery during the driving of the new energy vehicle according to the internal temperature of the battery and the battery safety temperature of the new energy vehicle.

[0038] It should be noted that in the present application, when the convective heat transfer efficiency is lower than the cooling demand, it indicates that the heat dissipation effect of the battery cooling system in a new energy vehicle is insufficient, which may cause the battery temperature to rise to an unsafe level. The increase in battery temperature may lead to a decrease in battery efficiency and even thermal runaway. Long-term operation at high temperatures will accelerate the aging and capacity decline of the battery, and overheating may cause internal short circuits, swelling or even fires in the battery, etc.

[0039] In some embodiments, determining the cooling deviation of the battery during the driving of a new energy vehicle based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle can be achieved by the following steps: Obtain the battery safety temperature of the new energy vehicle during driving; Compare the deviation between the internal temperature of the battery and the battery safety temperature to obtain the cooling deviation of the battery during the driving of the new energy vehicle.

[0040] It should be noted that in the present application, the cooling deviation represents the difference between the internal temperature of the battery and the preset safety temperature; specifically, when implemented, obtaining the battery safety temperature of the new energy vehicle during driving can be achieved by the following method, that is: obtain the battery safety temperature during driving from the battery usage manual of the new energy vehicle, and this battery safety temperature represents the temperature range that the battery should maintain during normal operation; comparing the deviation between the internal temperature of the battery and the battery safety temperature to obtain the cooling deviation of the battery during the driving of the new energy vehicle can be achieved by the following method, that is: take the difference between the internal temperature of the battery and the battery safety temperature as the result of the deviation comparison, and thus take this result as the cooling deviation of the battery during the driving of the new energy vehicle.

[0041] In step 104, adjust the distribution of the contact area between the battery coolant and the battery surface according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0042] In some embodiments, adjust the distribution of the contact area between the battery coolant and the battery surface according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle. Refer to Figure 3 As described, this figure is a schematic flow chart for determining the distribution characteristics of the battery coolant in some embodiments of the present application. Determining the distribution characteristics of the battery coolant in this embodiment can be achieved by the following steps: In step 1041, adjust the distribution of the battery coolant through the cooling deviation to obtain the contact area between the adjusted battery coolant and the battery; In step 1042, determine the heat transfer value of the battery in the new energy vehicle after adjustment according to the contact area and the convective heat transfer efficiency; In step 1043, continue to perform feedback optimization on the distribution of the battery coolant based on the heat exchange value, and obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0043] When specifically implemented, first, adjust the distribution of the battery coolant through the cooling deviation. The contact area between the adjusted battery coolant and the battery can be achieved in the following way, that is: a heat management strategy optimization algorithm can be selected, and the cooling deviation is used as the optimization target in this heat management strategy optimization algorithm. Use this heat management strategy optimization algorithm to optimize and adjust the distribution of the battery coolant, so as to statistically calculate the area value of the contact area between the battery coolant and the battery in the distribution of the optimized and adjusted battery coolant as the contact area between the adjusted battery coolant and the battery; then, determine the heat exchange value of the battery in the new energy vehicle after adjustment according to the contact area and the convective heat transfer efficiency, which can be achieved in the following way, that is: the product of the contact area, the convective heat transfer efficiency, and the current temperature difference value between the inside and outside of the battery is used as the heat exchange value of the battery in the new energy vehicle after adjustment; finally, continue to perform feedback optimization on the distribution of the battery coolant based on the heat exchange value, and obtain the distribution characteristics of the battery coolant in the new energy vehicle, which can be achieved in the following way, that is: if the heat exchange value is greater than or equal to the cooling deviation, the feedback optimization of the distribution of the battery coolant is completed; if the heat exchange value is less than the cooling deviation, continue to use the above method to optimize the distribution of the battery coolant until the heat exchange value is greater than or equal to the cooling deviation, and the feedback optimization of the distribution of the battery coolant is completed. The contact area between the battery coolant and the battery when the feedback optimization stops is used as the distribution characteristics of the battery coolant in the new energy vehicle.

[0044] It should be noted that in this application, the distribution characteristics of the battery coolant are the characteristics used to evaluate the adjustment effect of the battery coolant distribution. The distribution characteristics of the battery coolant can be used as the real-time distribution situation of the battery coolant to complete the real-time feedback adjustment of the battery coolant in the new energy vehicle; the heat exchange value represents the amount of heat exchange between the battery and the coolant within a certain period of time; the heat management strategy optimization algorithm is a method that dynamically adjusts the coolant flow rate, flow direction, and distribution in the battery cooling system through a mathematical model and optimization method to achieve optimal control of the battery temperature. This heat management strategy optimization algorithm takes the cooling deviation (that is, the difference between the battery temperature and the set temperature) as the objective function, and finds the most suitable coolant distribution strategy by optimizing the objective function. The algorithm usually adopts iterative optimization methods, such as genetic algorithms, particle swarm optimization (PSO), simulated annealing, etc., to gradually adjust the coolant parameters to maximize the heat exchange efficiency. During the optimization process, the contact area, flow rate, and flow path of the coolant are the main adjustment parameters. The optimization algorithm continuously adjusts the cooling strategy according to the real-time temperature data and heat exchange effect feedback to ensure that the battery operates efficiently within the safe temperature range.

[0045] In addition, on the other hand of the present application, in some embodiments, the present application provides a battery heat dissipation management system for a new energy vehicle. The battery heat dissipation management system for a new energy vehicle includes a coolant regulation unit. Refer to Figure 4 , which is a schematic structural diagram of the coolant regulation unit shown according to some embodiments of the present application. The coolant regulation unit includes: a monitoring module 201, a processing module 202, and an execution module 203, which are described as follows: Monitoring module 201: In the present application, the monitoring module 201 is mainly used to monitor the internal temperature of the battery and the external temperature of the battery during the driving of the new energy vehicle, and then determine the cooling demand of the battery in the new energy vehicle through the difference characteristics between the internal temperature of the battery and the external temperature of the battery. Processing module 202: In the present application, the processing module 202 is used to determine the heat transfer characteristics of the battery during driving through the heat load characteristics of the battery during the driving of the new energy vehicle and the internal temperature of the battery, and determine the convective heat transfer efficiency of the battery during the driving of the new energy vehicle according to the heat transfer characteristics and the distribution of the battery coolant in the new energy vehicle. It should be noted that the processing module 202 is further used to determine the cooling deviation of the battery during the driving of the new energy vehicle based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle when the convective heat transfer efficiency is lower than the cooling demand. Execution module 203: In the present application, the execution module 203 is mainly used to adjust the distribution of the contact area between the battery coolant and the battery surface according to the cooling deviation and the convective heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

[0046] The above has introduced in detail the examples of the battery heat dissipation management system and method for a new energy vehicle provided by the embodiments of the present application. It can be understood that, in order to implement the above functions, the corresponding device includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments disclosed in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0047] In some embodiments, the present application further provides a computer device. The computer device includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned method for adjusting the distribution of the battery coolant.

[0048] In some embodiments, referring to Figure 5 , the dashed lines in the figure indicate that the unit or module is optional. This figure is a schematic structural diagram of a computer device for implementing the method for adjusting the distribution of battery coolant according to an embodiment of the present application. The method for adjusting the distribution of battery coolant described in the above embodiments can be implemented by Figure 5 the computer device shown. The computer device includes at least one processor 301, a memory 302, and at least one communication unit 305. The computer device can be a terminal device, a server, or a chip.

[0049] The processor 301 can be a general-purpose processor or a dedicated processor. For example, the processor 301 can be a central processing unit (CPU). The CPU can be used to control the computer device, execute software programs, and process the data of software programs. The computer device can also include a communication unit 305 for implementing signal input (reception) and output (transmission).

[0050] For example, the computer device can be a chip, and the communication unit 305 can be the input and / or output circuit of the chip. Alternatively, the communication unit 305 can be the communication interface of the chip. The chip can be a component of a terminal device, a network device, or other devices.

[0051] Again, for example, the computer device can be a terminal device or a server, and the communication unit 305 can be the transceiver of the terminal device or the server. Alternatively, the communication unit 305 can be the transceiver circuit of the terminal device or the server.

[0052] The computer device can include one or more memories 302 on which a program 304 is stored. The program 304 can be run by the processor 301 to generate instructions 303, causing the processor 301 to execute the method described in the above method embodiments according to the instructions 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read the data stored in the memory 302. The data can be stored at the same storage address as the program 304, or the data can be stored at a different storage address from the program 304.

[0053] The processor 301 and the memory 302 can be provided separately or integrated together. For example, they can be integrated on a system on chip (SOC) of a terminal device.

[0054] It should be understood that the steps of the above method embodiments can be completed by the logic circuit in the form of hardware or instructions in the form of software in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, for example, discrete gates, transistor logic devices, or discrete hardware components.

[0055] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0056] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or code are stored. When the instructions or code run on a computer, the computer is caused to execute the above-described method for adjusting the distribution of the battery coolant.

[0057] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A method for adjusting the distribution of battery coolant, used for adjusting the distribution of battery coolant in a battery heat dissipation management system of a new energy vehicle, characterized in that: The steps include: Monitoring the internal temperature of the battery and the external temperature of the battery during the driving of the new energy vehicle, and then determining the cooling demand of the battery in the new energy vehicle through the difference characteristics between the internal temperature of the battery and the external temperature of the battery; Determine the heat exchange characteristics of the battery during driving according to the heat load characteristics of the battery during driving of the new energy vehicle and the internal temperature of the battery, and determine the convective heat exchange efficiency of the battery during driving of the new energy vehicle according to the heat exchange characteristics and the distribution of the battery coolant in the new energy vehicle; When the convection heat transfer efficiency is lower than the cooling demand, determining the cooling deviation of the battery during driving of the new energy vehicle according to the internal temperature of the battery and the battery safety temperature of the new energy vehicle; The contact area between the battery coolant and the battery surface is distributed and adjusted according to the cooling deviation and the convection heat transfer efficiency to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

2. The method according to claim 1, characterized in that Determining the cooling requirement of the battery in the new energy vehicle by the difference characteristics between the internal temperature of the battery and the external temperature of the battery specifically includes: Obtain the standard heat transfer efficiency of batteries in new energy vehicles; Extracting the difference characteristics between the internal temperature of the battery and the external temperature of the battery from the historical temperature data of the new energy vehicle during driving; The standard heat exchange efficiency is adaptively adjusted based on the difference characteristics to obtain the cooling requirement of the battery in the new energy vehicle.

3. The method according to claim 1, characterized in that Determining the heat exchange characteristics of the battery during driving by using the thermal load characteristics of the battery during driving of the new energy vehicle and the internal temperature of the battery specifically includes: Extract the thermal load characteristics of the battery during driving of new energy vehicles; Determining heat release characteristic values ​​of each local area in the battery by using the heat load characteristics; Determining the heat exchange of each local area of ​​the battery during driving according to the heat release characteristic value of each local area and the internal temperature of the battery; The heat transfer characteristics of the battery during driving are determined based on all the heat transfer amounts.

4. The method according to claim 3, characterized in that Extracting the thermal load characteristics of the battery during driving of new energy vehicles specifically includes: Obtain the driving speed information of new energy vehicles and the discharge condition of the battery; Determining local heat release information of the new energy vehicle in each speed range based on the discharge operating condition and the driving speed information; The thermal load characteristics of the battery during driving of new energy vehicles are determined through the local heat release information in each speed range.

5. The method according to claim 1, characterized in that Determining the cooling deviation of the battery during driving of the new energy vehicle based on the internal temperature of the battery and the battery safety temperature of the new energy vehicle specifically includes: Obtain the battery safety temperature of new energy vehicles while driving; The internal temperature of the battery and the safety temperature of the battery are compared for deviation to obtain the cooling deviation of the battery during driving of the new energy vehicle.

6. The method according to claim 1, characterized in that The contact area between the battery coolant and the battery surface is distributed and adjusted according to the cooling deviation and the convection heat transfer efficiency, and the distribution characteristics of the battery coolant in the new energy vehicle are obtained, which specifically include: The distribution of the battery coolant is adjusted by the cooling deviation to obtain a contact area between the battery coolant and the battery after adjustment; Determining the heat transfer value of the battery in the new energy vehicle after adjustment according to the contact area and the convection heat transfer efficiency; The distribution of the battery coolant is continuously optimized based on the heat exchange value to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

7. The method according to claim 1, characterized in that Use temperature sensors to monitor the internal temperature and external temperature of the battery of new energy vehicles.

8. A battery heat dissipation management system for a new energy vehicle, the battery heat dissipation management system for a new energy vehicle comprises a coolant regulating unit, characterized in that: The coolant regulating unit comprises: A monitoring module is used to monitor the internal temperature of the battery and the external temperature of the battery during the driving of the new energy vehicle, and then determine the cooling demand of the battery in the new energy vehicle through the difference characteristics between the internal temperature of the battery and the external temperature of the battery; A processing module, used to determine the heat exchange characteristics of the battery during driving of the new energy vehicle through the heat load characteristics of the battery and the internal temperature of the battery during driving, and determine the convective heat exchange efficiency of the battery during driving of the new energy vehicle according to the heat exchange characteristics and the distribution of the battery coolant in the new energy vehicle; The processing module is also used to determine the cooling deviation of the battery during driving of the new energy vehicle according to the internal temperature of the battery and the battery safety temperature of the new energy vehicle when the convection heat transfer efficiency is lower than the cooling demand; The execution module is used to adjust the distribution of the contact area between the battery coolant and the battery surface according to the cooling deviation and the convection heat transfer efficiency, so as to obtain the distribution characteristics of the battery coolant in the new energy vehicle.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the battery coolant distribution adjustment method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions or codes, and when the instructions or codes are executed on a computer, the computer implements the battery coolant distribution adjustment method according to any one of claims 1 to 7.

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