Temperature control method, device and equipment for battery pack of electric vehicle and storage medium

Abstract

The invention relates to the technical field of electric vehicle battery pack temperature control. The electric vehicle battery pack temperature control method comprises the steps that temperature information of each single battery is obtained, temperature summarization is conducted on the temperature information of each single battery, overall temperature information of the battery pack is generated, external environment temperature information is obtained, and the temperature information of the battery pack is obtained. And inputting the overall temperature information and the external environment temperature information of the battery pack into a nonlinear heat change model, predicting the temperature change trend of the battery pack in a future period of time, generating corresponding battery temperature trend information, dynamically adjusting a temperature control strategy in the battery pack according to the battery temperature trend information, and determining the temperature of the battery pack based on the temperature control strategy. And adjusting the working mode of the temperature control equipment in each area in the battery pack. The invention has the effect of effectively controlling the temperature of the battery pack.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control of electric vehicle battery packs, and in particular, to a method, device, equipment and storage medium for temperature control of electric vehicle battery packs. Background Art

[0002] With the rapid development of electric vehicles, the battery, as one of the core components of electric vehicles, directly affects the cruising range, safety and service life of electric vehicles. The temperature control problem in the battery pack has become one of the key technologies to improve the performance of electric vehicles. During the charging and discharging process of the battery, especially during high-power discharge, a large amount of heat is generated. The increase in temperature will directly affect the efficiency, life and safety of the battery. Therefore, how to effectively control the temperature of the battery and ensure that the battery works within an appropriate temperature range has become an urgent problem to be solved in the electric vehicle industry. Summary of the Invention

[0003] In order to effectively control the temperature of the battery pack, the present application provides a method, device, equipment and storage medium for temperature control of electric vehicle battery packs.

[0004] The first invention object of the present application is achieved by the following technical solutions: A method for temperature control of an electric vehicle battery pack, the method for temperature control of the electric vehicle battery pack includes: Obtain the temperature information of each battery cell, summarize the temperature information of each battery cell, and generate the overall temperature information of the battery pack; Obtain the external environmental temperature information, input the overall temperature information of the battery pack and the external environmental temperature information into a non-linear heat change model, predict the temperature change trend of the battery pack in the next period of time, and generate the corresponding battery temperature trend information; According to the battery temperature trend information, dynamically adjust the temperature control strategy in the battery pack; Based on the temperature control strategy, adjust the working modes of the temperature control devices in each area of the battery pack.

[0005] By adopting the above technical solutions, by real-time monitoring the fluctuation range and change trend of the battery cell temperature, the overall temperature control strategy of the battery pack can be dynamically adjusted, avoiding over-cooling or over-heating, thereby improving the temperature control accuracy of the battery pack. By adjusting the priority of the cooling and heating strategies according to the battery temperature trend information, the temperature change can be quickly responded to, ensuring that the temperature control requirements are preferentially met, thereby improving the battery performance and safety. By enabling the dynamic adjustment mode when the battery temperature is close to the preset upper or lower limit, the power output of the temperature control device can be flexibly controlled, optimizing the allocation of cooling and heating resources, further improving the temperature control efficiency, and extending the service life of the battery pack and enhancing its adaptability.

[0006] In a preferred example, the present application can be further configured as: obtaining the temperature information of each battery cell, summarizing the temperature information of each battery cell to generate the overall temperature information of the battery pack, including: Summarizing the temperature information of each battery cell through the following formula to generate the overall temperature information of the battery pack: , where the T group refers to the overall temperature information of the battery pack, the T i is the temperature of the i-th battery cell, W i is the weighting coefficient corresponding to the battery cell, and N is the number of battery cells.

[0007] By adopting the above technical solution, by setting reasonable weighting coefficients for each battery cell, the influence of each battery cell in the overall temperature calculation can be dynamically adjusted according to the working state and temperature change of different battery cells, ensuring that the overall temperature of the battery pack more accurately reflects the thermal state of each battery cell.

[0008] In a preferred example, the present application can be further configured as: the W i is the weighting coefficient corresponding to the battery cell, and further includes: When the temperature of the battery cell exceeds the critical temperature control threshold, reducing the weighting coefficient corresponding to the battery cell; When the temperature of the battery cell exceeds the critical temperature control threshold, increasing the weighting coefficient corresponding to the battery cell.

[0009] By adopting the above technical solution, the weight of the battery cell in the overall temperature calculation can be dynamically adjusted according to the temperature change of the battery cell, thereby accurately controlling the temperature of the battery pack. By reducing the weighting coefficient of the high-temperature battery cell, its excessive influence on the overall temperature of the battery pack can be prevented, effectively avoiding the problem of local overheating; and by increasing the weighting coefficient of the battery cell with a relatively high temperature, the cooling demand can be preferentially responded to, thereby enhancing the real-time performance and adaptability of the temperature control strategy, ensuring that the battery pack always remains within the optimal temperature range under different working conditions, and improving the safety, performance and service life of the battery pack.

[0010] In a preferred example, the present application can be further configured as: dynamically adjusting the temperature control strategy within the battery pack according to the battery temperature trend information, including: The temperature control strategy includes a cooling strategy and a heating strategy; Based on the battery temperature trend information, determine whether the current temperature of the battery pack is at the upper limit value or the lower limit value of the temperature control range. When the current temperature of the battery pack exceeds the upper limit value, enhance the priority of the cooling strategy. When the current temperature of the battery pack exceeds the lower limit value, enhance the priority of the heating strategy; Based on the battery temperature trend information, identify the battery cells with large temperature fluctuations, and preferentially adjust the temperature control strategy for the area where the battery cells with large temperature fluctuations are located; Based on the battery temperature trend information, judge the temperature change trend of each area in the battery pack; Based on the change trend of the temperature of each area, adjust the execution timing of the temperature control strategy. When the change trend of the temperature of each area continues to rise, strengthen the execution intensity of the cooling strategy in advance. When the change trend of the temperature of each area continues to decline, strengthen the execution intensity of the heating strategy in advance.

[0011] By adopting the above technical solutions, by dynamically adjusting the priority of the cooling and heating strategies, it is possible to ensure that the battery pack is maintained within the optimal temperature range under different working conditions, thereby maximizing the performance, safety, and service life of the battery. At the same time, identifying the battery cells with large temperature fluctuations and preferentially adjusting the temperature control strategy for the area where they are located can prevent the impact of local overheating or overcooling on the battery performance and ensure the temperature balance of the overall battery pack.

[0012] In a preferred example of the present application, it can be further configured as follows: According to the temperature control strategy, adjusting the working modes of the temperature control devices in each area of the battery pack includes: According to the temperature control strategy, identify the temperature requirements of each area in the battery pack, and determine the areas that need to be cooled and the areas that need to be heated; For the areas that need to be cooled, adjust the working mode of the temperature control device to the cooling mode, and increase the cooling intensity and working time of the temperature control device according to the temperature fluctuation of the areas that need to be cooled; For the areas that need to be heated, adjust the working mode of the temperature control device to the heating mode, and increase the heating intensity and working time of the temperature control device according to the temperature fluctuation of the areas that need to be heated.

[0013] By adopting the above technical solutions, when the temperature in certain areas is relatively high, the adjustment of the cooling mode can quickly reduce the temperature in that area, prevent local overheating, and improve the overall safety of the battery pack. Similarly, for areas with relatively low temperatures, the heating mode can ensure that the temperature in that area remains within the normal operating temperature range, thereby improving the efficiency and performance of the battery pack. By adjusting the intensity and working time of the cooling and heating devices according to the temperature fluctuations, it is possible to dynamically respond to the temperature changes in different areas, optimize the allocation of temperature control resources, and ensure that the entire battery pack operates efficiently within the optimal temperature range.

[0014] In a preferred example of the present application, it can be further configured that: adjusting the working modes of the temperature control devices in each area of the battery pack according to the temperature control strategy further includes: When the temperature of a certain area in the battery pack is equal to the upper limit value or the lower limit value of the temperature control range, according to the temperature requirement and the temperature control strategy of the certain area, adjust the working mode of the temperature control device to the dynamic adjustment mode.

[0015] By adopting the above technical solutions, it is possible to flexibly adjust the working modes of the temperature control devices according to the temperature control requirements and temperature change trends in each area of the battery pack when the temperature reaches the preset upper limit or lower limit, ensuring that the temperature control devices can respond to temperature changes in real time. The dynamic adjustment mode allows the temperature control devices to adjust their working intensity and mode according to actual needs, avoiding excessive temperature fluctuations or lag responses. Through this intelligent adjustment, not only the response speed and accuracy of the temperature control system are improved, but also the battery pack is ensured to always remain within the optimal temperature range under different working environments, improving the performance and safety of the battery.

[0016] In a preferred example of the present application, it can be further configured that: the method for controlling the temperature of the electric vehicle battery pack further includes: Obtain the feedback information of the temperature control device; According to the feedback information, judge whether the working effect of the temperature control device meets the requirements of the predetermined temperature control strategy. When the feedback information indicates that the working effect of the temperature control device fails to meet the requirements of the predetermined temperature control strategy, then adjust the temperature control strategy.

[0017] By adopting the above technical solutions, it is possible to monitor the working status of the temperature control device in real time and ensure that the temperature control device operates effectively according to the predetermined temperature control strategy. When the feedback information shows that the temperature control effect does not meet the expectations, the temperature control strategy can be adjusted in a timely manner, such as adjusting the working intensity of the device, changing the operation mode of the device, or optimizing the working frequency, so as to achieve precise temperature control. In this way, the temperature of the battery pack can always be maintained within a safe and efficient range, avoiding excessive cooling or heating, thereby improving the performance, safety, and energy efficiency of the battery pack and extending the service life of the battery.

[0018] The second above-mentioned inventive object of the present application is achieved through the following technical solutions: An electric vehicle battery pack temperature control device, the electric vehicle battery pack temperature control device comprising: A temperature information acquisition module, configured to acquire the temperature information of each battery cell, summarize the temperature information of each battery cell, and generate the overall temperature information of the battery pack; An external environment temperature acquisition and temperature prediction module, configured to acquire external environment temperature information, input the overall temperature information of the battery pack and the external environment temperature information into a non-linear heat change model, predict the temperature change trend of the battery pack within a future period of time, and generate corresponding battery temperature trend information; A temperature control strategy adjustment module, configured to dynamically adjust the temperature control strategy within the battery pack according to the battery temperature trend information; A regional temperature control module, configured to adjust the working mode of the temperature control devices in each region within the battery pack based on the temperature control strategy.

[0019] By adopting the above technical solutions, by real-time monitoring the fluctuation range and change trend of the battery cell temperature, the overall temperature control strategy of the battery pack can be dynamically adjusted, avoiding over-cooling or over-heating, thereby improving the temperature control accuracy of the battery pack. By adjusting the priority of the cooling and heating strategies according to the battery temperature trend information, the temperature change can be quickly responded to, ensuring that the temperature control requirements are preferentially met, thereby enhancing the battery performance and safety. By enabling the dynamic adjustment mode when the battery temperature is close to the preset upper or lower limit, the power output of the temperature control device can be flexibly controlled, optimizing the allocation of cooling and heating resources, further improving the temperature control efficiency, and extending the service life of the battery pack and enhancing its adaptability.

[0020] The third above-mentioned object of the present application is achieved through the following technical solutions: A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the above-mentioned electric vehicle battery pack temperature control method are implemented.

[0021] The fourth above-mentioned object of the present application is achieved through the following technical solutions: A computer-readable storage medium, the computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the steps of the above-mentioned electric vehicle battery pack temperature control method are implemented.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. By real-time monitoring of the fluctuation range and change trend of the temperature of individual battery cells, the overall temperature control strategy of the battery pack can be dynamically adjusted to avoid overcooling or overheating, thereby improving the temperature control accuracy of the battery pack. By adjusting the priority of the cooling and heating strategies according to the battery temperature trend information, the temperature change can be quickly responded to, ensuring that the temperature control requirements are preferentially met, thereby enhancing the battery performance and safety. By enabling the dynamic adjustment mode when the battery temperature is close to the preset upper or lower limit, the power output of the temperature control device can be flexibly controlled, the allocation of cooling and heating resources can be optimized, the temperature control efficiency can be further improved, and the service life of the battery pack can be extended and its adaptability can be enhanced; 2. By dynamically adjusting the priority of the cooling and heating strategies, it can ensure that the battery pack maintains within the optimal temperature range under different working conditions, thereby maximizing the battery performance, safety, and service life. At the same time, identifying the battery cells with large temperature fluctuations and preferentially adjusting the temperature control strategy in their area can prevent the impact of local overheating or overcooling on the battery performance and ensure the temperature balance of the overall battery pack; 3. It can monitor the working status of the temperature control device in real time to ensure that the temperature control device operates effectively according to the predetermined temperature control strategy. When the feedback information shows that the temperature control effect does not meet the expectation, the temperature control strategy can be adjusted in a timely manner, such as adjusting the working intensity of the device, changing the device operation mode, or optimizing the working frequency, so as to achieve precise temperature control. In this way, the temperature of the battery pack can always be maintained within a safe and efficient range, avoiding overcooling or overheating, thereby improving the performance, safety, and energy efficiency of the battery pack and extending the battery service life. Description of the Drawings

[0023] Figure 1 is a flowchart of the temperature control method for an electric vehicle battery pack in an embodiment of the present application; Figure 2 is an implementation flowchart of step S10 in the temperature control method for an electric vehicle battery pack in an embodiment of the present application; Figure 3 is an implementation flowchart of step S101 in the temperature control method for an electric vehicle battery pack in an embodiment of the present application; Figure 4 is an implementation flowchart of step S30 in the temperature control method for an electric vehicle battery pack in an embodiment of the present application; Figure 5 is an implementation flowchart of step S40 in the temperature control method for an electric vehicle battery pack in an embodiment of the present application; Figure 6 is another implementation flowchart of step S40 in the temperature control method for an electric vehicle battery pack in an embodiment of the present application; Figure 7It is a flowchart of the implementation after step S40 in the method for controlling the temperature of an electric vehicle battery pack in an embodiment of the present application; Figure 8 It is a schematic block diagram of an electric vehicle battery pack temperature control device in an embodiment of the present application; Figure 9 It is a schematic diagram of the device in an embodiment of the present application. Specific embodiments

[0024] The present application will be further described in detail below with reference to the accompanying drawings.

[0025] In one embodiment, as Figure 1 shown, the present application discloses a method for controlling the temperature of an electric vehicle battery pack, which specifically includes the following steps: S10: Obtain the temperature information of each battery cell, summarize the temperature information of each battery cell, and generate the overall temperature information of the battery pack.

[0026] Specifically, by arranging temperature sensors on each battery cell, the temperature data of each battery cell is collected in real time. The temperature sensors can monitor the operating temperature of the battery cells with high accuracy and frequency. Then, based on the real-time temperature values of each battery cell, the temperature data of each battery cell is summarized by using the weighted average method to obtain the overall temperature information of the battery pack. The weighting coefficients can be set according to factors such as the operating state, power output, and position of the battery cells. For example, if some battery cells are in a high-load state, they contribute more to the overall temperature of the battery pack and should be given a higher weight; while the battery cells in a low-load or idle state are given a lower weight.

[0027] S20: Obtain the external environmental temperature information, input the overall temperature information of the battery pack and the external environmental temperature information into the non-linear heat change model, predict the temperature change trend of the battery pack in the next period of time, and generate the corresponding battery temperature trend information.

[0028] Specifically, the external environmental temperature information is collected in real time through a dedicated environmental sensor, which can measure climate factors such as the outside air temperature, humidity, and wind speed to obtain accurate environmental temperature data. These environmental data will be combined with the overall temperature information of the battery pack and input into a pre-trained non-linear heat change model. This model predicts the temperature change trend based on the heat conduction characteristics of the battery pack and the heat exchange law of the external environment. Specifically, the non-linear model can learn from historical data the responses of the battery cells and the battery pack to changes in the environmental temperature under different operating states, and simulate the temperature change trend of the battery pack in the future time period through mathematical calculations. The battery temperature trend information output by the model can reflect the rising or falling trend of the battery pack temperature.

[0029] Furthermore, the non-linear heat change model predicts the temperature change trend based on the following formula: , where T(t + Δt) is the temperature of the battery cell at the future time t + Δt, T(t) represents the temperature of the battery cell at the current time t, Q in (t) represents the heat generated by the battery discharge at the current time, Q out (t) represents the heat dissipated by heat conduction and other means at the current time, m represents the mass of the battery cell, C p represents the specific heat capacity of the battery material, and Δt represents the time step.

[0030] S30: Dynamically adjust the temperature control strategy within the battery pack according to the battery temperature trend information.

[0031] Specifically, according to the battery temperature trend information, first analyze the temperature distribution of the current battery pack, and identify the battery cells and their locations with large temperature changes; if the overall temperature of the battery pack is close to the upper limit of the preset temperature control range, then enhance the priority of the cooling strategy according to the temperature trend information, such as increasing the working time of the cooling equipment or increasing the cooling power output; if the overall temperature of the battery pack is close to the lower limit of the temperature control range, then enhance the priority of the heating strategy, and provide appropriate heat through the heating equipment to ensure that the temperature remains within the safe operating range. When identifying battery cells with large temperature fluctuations, the temperature control strategy in this area can be adjusted preferentially to ensure uniform temperature distribution and avoid performance degradation or safety hazards caused by overheating or overcooling of some battery cells. By adjusting the working modes of the temperature control devices in different areas, such as increasing the cooling intensity in the high-temperature area or increasing the heating intensity in the low-temperature area, the temperature control requirements of each area can be balanced to ensure that the temperature of the overall battery pack remains within the optimal range. In addition, the dynamic adjustment of the temperature control strategy also needs to consider the influence of external environmental temperature changes. By collecting external environmental temperature information in real time and combining the temperature change trend of the battery pack, the temperature control strategy can be further optimized to ensure that the battery pack can adapt to external environmental changes and avoid negative impacts on the performance of the battery pack caused by external temperature fluctuations.

[0032] S40: Adjust the working modes of the temperature control devices in each area within the battery pack based on the temperature control strategy.

[0033] Specifically, by monitoring the temperature of each area of the battery pack in real time and combining with the adjustment priority in the temperature control strategy, it is determined whether the temperature of the current area deviates from the preset temperature control range. If it deviates, it is marked as an area that needs to be adjusted. For the area that needs to be cooled, the working mode of the temperature control device is adjusted to the cooling mode. At this time, the cooling device such as a fan or a liquid cooling system starts to work, and the temperature of this area is reduced by increasing the cooling power or extending the working time. The setting of the cooling intensity is usually adjusted according to the fluctuation range of the temperature in this area. If the temperature in this area fluctuates greatly, the working intensity of the cooling device is increased, and the cooling time is appropriately extended to quickly reduce the temperature fluctuation and maintain the temperature stability. For the area that needs to be heated, the working mode of the temperature control device is adjusted to the heating mode. At this time, the heating device such as an electric heating film or a hot air system starts to work, and the temperature of this area is increased by providing heat. The heating intensity is also adjusted according to the temperature fluctuation of this area. If the temperature is low and the fluctuation is small, the heating intensity is appropriately increased. If the temperature fluctuates greatly, the heating time can be appropriately extended to ensure that the temperature of this area can reach the expected range.

[0034] Furthermore, according to the temperature difference of the battery cells, the temperature control devices of each area are coordinated in a timely manner. For example, by adjusting the power output of the cooling and heating devices, it is ensured that the temperature control requirements of each area in the battery pack are effectively met, so as to maintain the overall temperature of the battery pack within a safe working range.

[0035] In one embodiment, as Figure 2 shown, in step S10, that is, obtaining the temperature information of each battery cell, summarizing the temperature information of each battery cell to generate the overall temperature information of the battery pack, including: S101: Summarize the temperature information of each battery cell through the following formula to generate the overall temperature information of the battery pack: , where T group refers to the overall temperature information of the battery pack, T i is the temperature of the i-th battery cell, W i is the weighting coefficient corresponding to the battery cell, and N is the number of battery cells.

[0036] Specifically, by collecting the temperature information T i of each battery cell in real time, and assigning a weighting coefficient W i to each battery cell. This weighting coefficient is set according to the working state, temperature fluctuation, position in the battery pack and heat contribution of the battery cell. The setting of the weighting coefficient Wi can be dynamically adjusted according to the charge and discharge conditions, capacity and temperature change rate of the battery cell. For example, a battery cell with a higher load will have a larger weighting coefficient, so that the battery cell contributes more to the overall temperature. By multiplying the temperature value T of each battery celli Multiply by the corresponding weighting factor W i to obtain the weighted temperature contribution of each battery cell. Then, sum the weighted temperatures of all battery cells to obtain the total weighted temperature of the battery pack. Next, sum all the weighting factors W i of all battery cells to obtain the total sum of the weighting factors. Finally, divide the total weighted temperature of the battery pack by the sum of the weighting factors to obtain the overall temperature information T group of the battery pack.

[0037] In one embodiment, as shown in Figure 3 , in step S101, where Wi is the weighting factor corresponding to the battery cell, it further includes: S1011: When the temperature of the battery cell exceeds the critical temperature control threshold, reduce the weighting factor corresponding to the battery cell.

[0038] Specifically, when the temperature of the battery cell exceeds the critical temperature control threshold, automatically detect the temperature change of the cell and adjust the weighting factor W i . At this time, in order to reduce the influence of this cell on the overall temperature, reduce the weighting factor, usually by setting a temperature threshold T critical to judge. When the temperature T i of the battery cell exceeds this threshold, reduce the corresponding weighting factor W i , so as to reduce the temperature contribution of this cell to the overall battery pack temperature. For example, if the temperature T i of the battery cell exceeds 40°C, and the set critical temperature control threshold is 35°C, the influence of this cell on the overall temperature calculation can be reduced by reducing the weighting factor of this cell (such as from 1.2 to 0.8).

[0039] S1012: When the temperature of the battery cell exceeds the critical temperature control threshold, increase the weighting factor corresponding to the battery cell.

[0040] Specifically, when the temperature of the battery cell exceeds the critical temperature control threshold, increase the contribution of this cell to the overall temperature by adjusting the weighting factor W i . When the temperature T i of the battery cell exceeds the set temperature control threshold T critical , in order to enhance the influence of the battery cell in the overall temperature calculation, increase the weighting factor. Through this adjustment, the battery cells with higher temperatures have a greater impact on the temperature control strategy of the battery pack, so that cooling measures can be taken preferentially. This adjustment is usually used in high-temperature areas that require rapid response to avoid local overheating. For example, when the temperature of the battery cell exceeds 40°C, the weighting factor is increased from 1.0 to 1.5 to increase the influence of the battery cell on the overall temperature of the battery pack.

[0041] In one embodiment, as Figure 4 shown, in step S30, according to the battery temperature trend information, the temperature control strategy within the battery pack is dynamically adjusted, including: S301: The temperature control strategy includes a cooling strategy and a heating strategy.

[0042] Specifically, the temperature control strategy is divided into a cooling strategy and a heating strategy, which are dynamically adjusted according to the current temperature state of the battery pack and the changes in the external environment. The implementation of the cooling strategy is usually initiated when the temperature of the battery pack exceeds the set upper limit, aiming to reduce the temperature of the battery cells by enhancing the power output of the cooling equipment (such as fans, liquid cooling systems, etc.), preventing the temperature of the battery pack from being too high, which may lead to performance degradation or safety hazards; for example, when the temperature of the battery pack exceeds 40°C, the cooling strategy will automatically enhance the flow rate of the fan or coolant, shortening the cooling time to reduce the temperature as soon as possible. In contrast, the heating strategy is initiated when the temperature of the battery pack is lower than the set lower limit, mainly by providing heat through heating equipment (such as heating plates, electric heating films, etc.) to increase the temperature of the battery cells, ensuring that the battery pack can still maintain the best working efficiency and safety in a low-temperature environment. For example, when the temperature of the battery pack is lower than 10°C, the heating strategy will be automatically activated, and the temperature will be increased by adjusting the power of the heating equipment to prevent the battery from experiencing performance degradation or being unable to start at low temperatures.

[0043] S302: Determine whether the current temperature of the battery pack is at the upper limit value or the lower limit value of the temperature control range according to the battery temperature trend information. When the current temperature of the battery pack exceeds the upper limit value, enhance the priority of the cooling strategy. When the current temperature of the battery pack exceeds the lower limit value, enhance the priority of the heating strategy.

[0044] Specifically, first, by real-time monitoring the overall temperature and temperature change trend of the battery pack, determine whether the current temperature is close to the preset upper or lower limit of the temperature control range. If the current temperature of the battery pack exceeds the preset upper limit value (for example, the temperature of the battery pack exceeds 40°C), then by analyzing the temperature change trend, timely enhance the priority of the cooling strategy. For example, if the temperature continues to rise and exceeds the safety temperature upper limit, the cooling system will be activated first, increasing the power output of the cooling equipment, automatically adjusting the fan speed or increasing the coolant flow rate, thereby accelerating the temperature drop and preventing damage caused by overheating of the battery pack. On the contrary, when the temperature of the battery pack is close to the preset lower limit value (for example, the temperature of the battery pack is lower than 10°C), analyze the battery temperature trend and enhance the priority of the heating strategy. At this time, heating equipment such as electric heating films or hot air systems will be activated first, increasing the heating power or extending the heating time to raise the temperature of the battery pack, ensuring that the battery can still maintain the best performance in a low-temperature environment and avoiding a reduction in battery capacity or difficulty in starting due to too low temperature.

[0045] S303: Identify the battery cells with large temperature fluctuations based on the battery temperature trend information, and preferentially adjust the temperature control strategy for the area where the battery cells with large temperature fluctuations are located.

[0046] Specifically, first, monitor the temperature trend information of the battery cells in real time to analyze which battery cells have large temperature fluctuations. The battery cells with large temperature fluctuations may have drastic temperature changes due to reasons such as discharge state, battery aging, uneven cooling, etc. By comparing the temperature change rates of different battery cells, these battery cells with large temperature fluctuations can be identified. For the areas where these battery cells are located, preferentially adjust the temperature control strategy for this area to ensure that this area can respond quickly and stabilize the temperature. S304: Judge the temperature change trends of each area in the battery pack according to the battery temperature trend information.

[0047] Specifically, combining the temperature information of the battery cells, judge the temperature change trends of different areas in the battery pack to determine whether each area is in a state of temperature rising, temperature dropping or temperature stability. For example, for different cooling areas or heating areas in the battery pack, collect the temperature information in the area in real time through temperature sensors and calculate the temperature change rate of this area. If the temperature of a certain area continues to rise, it indicates that there is a risk of overheating in this area; if the temperature of a certain area continues to drop, it means that there may be a low-temperature problem in this area. According to these temperature change trends, the areas that need to be processed immediately can be identified, and the temperature control strategy can be adjusted in time.

[0048] S305: Adjust the execution timing of the temperature control strategy according to the temperature change trends of each area. When the temperature change trends of each area continue to rise, strengthen the execution intensity of the cooling strategy in advance. When the temperature change trends of each area continue to drop, strengthen the execution intensity of the heating strategy in advance.

[0049] Specifically, the adjustment timing of the temperature control strategy depends on the temperature change trends of each area in the battery pack. When the temperature change trend of a certain area continues to rise, it means that there is a risk of overheating in this area. At this time, the execution intensity of the cooling strategy can be strengthened in advance, such as increasing the power output of the cooling equipment, adjusting the coolant flow rate or increasing the fan speed to accelerate the temperature drop in this area; on the contrary, when the temperature change trend of a certain area continues to drop, it means that the temperature of this area is too low, which may affect the performance of the battery pack. At this time, the execution intensity of the heating strategy can be strengthened in advance, such as increasing the heating power through the heating equipment and extending the heating time to ensure that the temperature of this area is stabilized within the predetermined safe range.

[0050] In one embodiment, as Figure 5 shown, in step S40, that is, according to the temperature control strategy, adjust the working modes of the temperature control devices in each area of the battery pack, including: S401: Identify the temperature requirements of each area within the battery pack according to the temperature control strategy, and determine the areas that need to be cooled and the areas that need to be heated.

[0051] Specifically, by real-time monitoring the temperature information of each area within the battery pack and combining with the temperature control strategy, analyze which areas within the battery pack have temperatures approaching the upper or lower limits of the temperature control range. For areas where the temperature exceeds the set upper limit, identify them as areas that need to be cooled; while for areas where the temperature is below the set lower limit, identify them as areas that need to be heated. For example, when the temperature of a certain area of the battery pack exceeds 40°C, that area is identified as an area that needs to be cooled; if the temperature of a certain area is below 10°C, it is identified as an area that needs to be heated. The temperature control strategy will allocate cooling or heating tasks to each area based on this information and prioritize the adjustment of areas with larger temperature fluctuations.

[0052] S402: For the areas that need to be cooled, adjust the working mode of the temperature control device to the cooling mode, and increase the cooling intensity and working time of the temperature control device according to the temperature fluctuation of the areas that need to be cooled.

[0053] Specifically, for the areas that need to be cooled, adjust the working mode of the temperature control device to the cooling mode. In this mode, the cooling device (such as a fan, liquid cooling system, etc.) starts to work, and reduces the temperature of this area by increasing the cooling intensity, increasing the flow rate of the cooling fluid, or adjusting the rotation speed of the fan, etc. According to the temperature fluctuation of this area, the cooling intensity and working time will be dynamically adjusted. For example, if the temperature changes greatly, the power output of the cooling device will be increased and the working time will be extended to quickly reduce the temperature of this area.

[0054] S403: For the areas that need to be heated, adjust the working mode of the temperature control device to the heating mode, and increase the heating intensity and working time of the temperature control device according to the temperature fluctuation of the areas that need to be heated.

[0055] Specifically, for the areas that need to be heated, adjust the working mode of the temperature control device to the heating mode. In this mode, the heating device (such as an electric heating film, hot air system, etc.) starts, and raises the temperature of this area by providing heat. The heating intensity and working time will be dynamically adjusted according to the temperature fluctuation of this area. If the temperature remains low and the fluctuation is small, the power of the heating device can be appropriately increased and the heating time can be extended to ensure that the temperature gradually rises to the predetermined range; if the temperature fluctuates greatly, the heating intensity may be reduced or the heating time may be shortened to prevent the temperature from rising too fast and causing overheating.

[0056] In one embodiment, as Figure 6 shown, in step S40, that is, according to the temperature control strategy, adjusting the working mode of the temperature control device for each area within the battery pack, further includes: S404: When the temperature of a certain area within the battery pack equals the upper or lower limit value of the temperature control range, adjust the working mode of the temperature control device to the dynamic adjustment mode according to the temperature requirement of the certain area and the temperature control strategy.

[0057] In this embodiment, the dynamic adjustment mode means that the temperature control device flexibly adjusts the working intensity and working state according to the real-time temperature change trend of a certain area of the battery pack to precisely control the temperature of this area and avoid over-adjustment. The dynamic adjustment mode is not fixed at a certain power output or working time, but responds according to the real-time monitored temperature information to ensure that the output of the temperature control device can adapt to different temperature change requirements.

[0058] Specifically, when the temperature of a certain area within the battery pack reaches the upper or lower limit of the preset temperature control range, the working mode of the temperature control device will be automatically adjusted to the dynamic adjustment mode. In the dynamic adjustment mode, the temperature control device (such as a cooling system or a heating system) will flexibly adjust the working intensity through refined control according to the real-time temperature fluctuation of this area and the temperature control strategy. For example, when the temperature equals the upper limit of the temperature control range, the cooling device may enter the rapid cooling mode, providing a higher cooling power, and the working time can be adjusted according to the temperature change; when the temperature equals the lower limit of the temperature control range, the heating device will enter the rapid heating mode to ensure that the temperature will not rapidly drop below the predetermined range. In this mode, the temperature control device no longer maintains a fixed power output, but continuously adjusts the working state and power according to the real-time feedback temperature change situation. For example, the temperature control device will monitor the real-time temperature change trend of this area. If the temperature starts to approach the target value or shows slight fluctuations, the temperature control device will automatically reduce the power output to avoid over-adjustment and ensure that the temperature is maintained within the predetermined range.

[0059] In one embodiment, as Figure 7 shown, after step S40, that is, the electric vehicle battery pack temperature control method further includes: S50: Obtain the feedback information of the temperature control device.

[0060] Specifically, the operating data of the device is collected in real time through sensors installed in the temperature control device, including temperature change, power output, device operating status (such as switch status, operating duration, etc.), and the energy efficiency information of the device (such as energy consumption data). These feedback information will be sent to the central control system or the temperature control management system in real time through a data transmission module (such as wireless communication or a wired bus). The sensors can include temperature sensors, current sensors, pressure sensors, etc., which can accurately reflect the working conditions of the temperature control device. In addition, the fault status of the device can also be monitored, such as fan failure, abnormal coolant flow, etc.

[0061] Further, the feedback information of the temperature control device includes, but is not limited to, real-time temperature information, power consumption, device status information, energy efficiency and efficiency information, etc. These information can reflect the various working conditions of the device during operation, and help the temperature control system to judge the performance of the device and the temperature control effect in real time. The real-time temperature data includes the temperature change in the area where the device is located, which helps to judge whether the temperature control device heats or cools according to the predetermined target; the power consumption records the power output of the device to evaluate whether it meets the required cooling or heating demand; the device status information provides important data such as whether the device is turned on, off, and working duration, ensuring that the operating status of the device meets the expectations and avoiding failures or inefficiencies; the energy efficiency and efficiency information evaluates the operating efficiency of the device under the current temperature control conditions to help optimize the temperature control strategy.

[0062] S60: According to the feedback information, judge whether the working effect of the temperature control device meets the requirements of the predetermined temperature control strategy. When the feedback information indicates that the working effect of the temperature control device fails to meet the requirements of the predetermined temperature control strategy, adjust the temperature control strategy.

[0063] Specifically, according to the feedback information obtained from the temperature control device, evaluate in real time whether the working effect of the device has reached the predetermined temperature control target. First, through the comparative analysis of the temperature data, judge whether the temperature control device effectively controls the temperature of the battery pack within the preset range; if the feedback temperature information shows that the temperature control device fails to effectively reduce or increase the temperature to the target range, or the power consumption of the temperature control device does not match the expectation, it is judged that the working effect of the device does not meet the predetermined requirements. In addition, analyze the power consumption, device status information and energy efficiency data to confirm whether the device is operating at the optimal efficiency state. If the feedback information indicates that the temperature control device fails to work effectively, it may be due to reasons such as device failure, slow response or inaccurate adjustment. At this time, the temperature control strategy will be adjusted according to the actual feedback.

[0064] Further, the ways to adjust the temperature control strategy include, but are not limited to, increasing or decreasing the working intensity of the device. If the working intensity of the device is too low and the temperature control effect is not obvious, increase the power output of the device; if the device runs too strongly and causes energy waste, reduce the power output; adjust the working mode or execution frequency. For example, if the response time of the temperature control device is too long or the temperature control strategy adjustment is not timely, shorten the adjustment frequency so that the temperature control device can respond more quickly to temperature changes; optimize the area division. According to the feedback data, optimize the temperature control strategy for each area in the battery pack to ensure that the temperature control devices in each area adjust the working mode according to actual needs, thereby improving the overall temperature control effect.

[0065] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0066] In one embodiment, a temperature control device for an electric vehicle battery pack is provided, and the temperature control device for the electric vehicle battery pack corresponds one-to-one with the temperature control method for the electric vehicle battery pack in the above embodiment. As Figure 8 shown, the temperature control device for the electric vehicle battery pack includes a temperature information acquisition module, an external environment temperature acquisition and temperature prediction module, a temperature control strategy adjustment module, and a regional temperature control module. The detailed description of each functional module is as follows: The temperature information acquisition module is configured to acquire the temperature information of each battery cell, summarize the temperature information of each battery cell, and generate the overall temperature information of the battery pack; The external environment temperature acquisition and temperature prediction module is configured to acquire the external environment temperature information, input the overall temperature information of the battery pack and the external environment temperature information into a non-linear heat change model, predict the temperature change trend of the battery pack in the next period of time, and generate corresponding battery temperature trend information; The temperature control strategy adjustment module is configured to dynamically adjust the temperature control strategy within the battery pack according to the battery temperature trend information; The regional temperature control module is configured to adjust the working mode of the temperature control devices in each region within the battery pack based on the temperature control strategy.

[0067] Optionally, the temperature information acquisition module includes: The temperature summarization and weighted calculation sub-module is configured to summarize the temperature information of each battery cell through the following formula to generate the overall temperature information of the battery pack: , where T group refers to the overall temperature information of the battery pack, T i is the temperature of the i-th battery cell, W i is the weighted coefficient corresponding to the battery cell, and N is the number of battery cells.

[0068] Optionally, the temperature summarization and weighted calculation sub-module includes: The weighted coefficient reduction unit is configured to reduce the weighted coefficient corresponding to the battery cell when the temperature of the battery cell exceeds the critical temperature control threshold; The weighted coefficient increase unit is configured to increase the weighted coefficient corresponding to the battery cell when the temperature of the battery cell exceeds the critical temperature control threshold.

[0069] Optionally, the temperature control strategy adjustment module includes: The temperature control strategy definition sub-module is configured to the temperature control strategy includes a cooling strategy and a heating strategy; The temperature control strategy priority adjustment sub-module is used to determine whether the current temperature of the battery pack is at the upper or lower limit value of the temperature control range according to the battery temperature trend information. When the current temperature of the battery pack exceeds the upper limit value, the priority of the cooling strategy is enhanced. When the current temperature of the battery pack exceeds the lower limit value, the priority of the heating strategy is enhanced; The temperature fluctuation area identification and priority adjustment sub-module is used to identify the battery cells with large temperature fluctuations according to the battery temperature trend information, and preferentially adjust the temperature control strategy for the area where the battery cells with large temperature fluctuations are located; The battery pack area temperature trend judgment sub-module is used to judge the temperature change trend of each area in the battery pack according to the battery temperature trend information; The temperature control strategy execution timing adjustment sub-module is used to adjust the execution timing of the temperature control strategy according to the temperature change trend of each area. When the temperature change trend of each area continues to rise, the execution intensity of the cooling strategy is strengthened in advance. When the temperature change trend of each area continues to decline, the execution intensity of the heating strategy is strengthened in advance.

[0070] Optionally, the regionalized temperature control module includes: The regional temperature control demand identification sub-module is used to identify the temperature requirements of each area in the battery pack according to the temperature control strategy, and determine the areas that need to be cooled and the areas that need to be heated; The cooling area adjustment sub-module is used to adjust the working mode of the temperature control device to the cooling mode for the areas that need to be cooled, and increase the cooling intensity and working time of the temperature control device according to the temperature fluctuation of the areas that need to be cooled; The heating area adjustment sub-module is used to adjust the working mode of the temperature control device to the heating mode for the areas that need to be heated, and increase the heating intensity and working time of the temperature control device according to the temperature fluctuation of the areas that need to be heated.

[0071] Optionally, the regionalized temperature control module further includes: The dynamic adjustment mode enabling sub-module is used to adjust the working mode of the temperature control device to the dynamic adjustment mode according to the temperature requirements and temperature control strategy of a certain area when the temperature of a certain area in the battery pack is equal to the upper or lower limit value of the temperature control range.

[0072] Optionally, after the regionalized temperature control module, there is also The temperature control device feedback information acquisition sub-module is used to obtain the feedback information of the temperature control device; The temperature control strategy adjustment sub-module is used to judge whether the working effect of the temperature control device meets the requirements of the predetermined temperature control strategy according to the feedback information. When the feedback information indicates that the working effect of the temperature control device fails to meet the requirements of the predetermined temperature control strategy, the temperature control strategy is adjusted.

[0073] For the specific limitations of the temperature control device of the electric vehicle battery pack, reference can be made to the limitations of the temperature control method of the electric vehicle battery pack in the above text, which will not be elaborated here. Each module in the above temperature control device of the electric vehicle battery pack can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0074] In one embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 9 shown. The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a temperature control method for an electric vehicle battery pack.

[0075] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Obtain the temperature information of each battery cell, perform temperature aggregation on the temperature information of each battery cell, and generate the overall temperature information of the battery pack; Obtain the external environmental temperature information, input the overall temperature information of the battery pack and the external environmental temperature information into a non-linear heat change model, predict the temperature change trend of the battery pack in the next period of time, and generate corresponding battery temperature trend information; According to the battery temperature trend information, dynamically adjust the temperature control strategy within the battery pack; Based on the temperature control strategy, adjust the working modes of the temperature control devices in each area within the battery pack.

[0076] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the following steps are implemented: Obtain the temperature information of each battery cell, perform temperature aggregation on the temperature information of each battery cell, and generate the overall temperature information of the battery pack; Obtain the external environmental temperature information, input the overall temperature information of the battery pack and the external environmental temperature information into a non-linear heat change model, predict the temperature change trend of the battery pack in the next period of time, and generate corresponding battery temperature trend information; Dynamically adjust the temperature control strategy within the battery pack according to the battery temperature trend information; Based on the temperature control strategy, adjust the working modes of the temperature control devices in each area within the battery pack.

[0077] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0078] Those skilled in the art can clearly understand that for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0079] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for controlling the temperature of an electric vehicle battery pack, characterized in that: The electric vehicle battery pack temperature control method comprises: Acquire temperature information of each battery cell, summarize the temperature information of each battery cell, and generate overall temperature information of the battery pack; Acquire external environment temperature information, input the overall temperature information of the battery pack and the external environment temperature information into a nonlinear heat change model, predict the temperature change trend of the battery pack in the future, and generate corresponding battery temperature trend information; Dynamically adjust the temperature control strategy within the battery pack according to the battery temperature trend information; Based on the temperature control strategy, the working mode of the temperature control equipment in each area of ​​the battery pack is adjusted.

2. The electric vehicle battery pack temperature control method according to claim 1, characterized in that: The step of acquiring the temperature information of each battery cell, summarizing the temperature information of each battery cell, and generating the overall temperature information of the battery pack includes: The temperature information of each battery cell is summarized by the following formula to generate the overall temperature information of the battery pack: , where the T group Refers to the overall temperature information of the battery pack, the T i is the temperature of the ith battery cell, W i is the weighting coefficient corresponding to the battery cell, and N is the number of battery cells.

3. The electric vehicle battery pack temperature control method according to claim 2, characterized in that: The W i is the weighting coefficient corresponding to the battery cell, and also includes: When the temperature of the battery cell exceeds a critical temperature control threshold, reducing a weighting coefficient corresponding to the battery cell; When the temperature of the battery cell exceeds a critical temperature control threshold, a weighting coefficient corresponding to the battery cell is increased.

4. The electric vehicle battery pack temperature control method according to claim 1, characterized in that: The dynamically adjusting the temperature control strategy in the battery pack according to the battery temperature trend information includes: The temperature control strategy includes a cooling strategy and a heating strategy; Determine whether the current temperature of the battery pack is within the upper limit or lower limit of the temperature control interval according to the battery temperature trend information; when the current temperature of the battery pack exceeds the upper limit, enhance the priority of the cooling strategy; when the current temperature of the battery pack exceeds the lower limit, enhance the priority of the heating strategy; According to the battery temperature trend information, identifying battery cells with large temperature fluctuations, and preferentially adjusting the temperature control strategy of the area where the battery cells with large temperature fluctuations are located; Determining the temperature change trend of each area in the battery pack according to the battery temperature trend information; According to the changing trend of the temperature of each area, the execution timing of the temperature control strategy is adjusted. When the changing trend of the temperature of each area continues to increase, the execution of the cooling strategy is strengthened in advance. When the changing trend of the temperature of each area continues to decrease, the execution of the heating strategy is strengthened in advance.

5. The electric vehicle battery pack temperature control method according to claim 1, characterized in that: The step of adjusting the working mode of the temperature control devices in each area of ​​the battery pack according to the temperature control strategy includes: According to the temperature control strategy, identifying the temperature requirements of each area in the battery pack, and determining the area that needs to be cooled and the area that needs to be heated; For the area that needs cooling, adjust the working mode of the temperature control device to a cooling mode, and increase the cooling intensity and working time of the temperature control device according to the temperature fluctuation of the area that needs cooling; For the area that needs to be heated, the working mode of the temperature control device is adjusted to a heating mode, and the heating intensity and working time of the temperature control device are increased according to the temperature fluctuation of the area that needs to be heated.

6. The electric vehicle battery pack temperature control method according to claim 1, characterized in that: The step of adjusting the working mode of the temperature control devices in each area of ​​the battery pack according to the temperature control strategy further includes: When the temperature of a certain area in the battery pack is equal to the upper limit value or the lower limit value of the temperature control interval, the working mode of the temperature control device is adjusted to a dynamic adjustment mode according to the temperature requirement of the certain area and the temperature control strategy.

7. The electric vehicle battery pack temperature control method according to claim 1, characterized in that: The electric vehicle battery pack temperature control method further includes: Obtaining feedback information from the temperature control device; According to the feedback information, it is determined whether the working effect of the temperature control device meets the predetermined temperature control strategy requirements. When the feedback information indicates that the working effect of the temperature control device fails to meet the predetermined temperature control strategy requirements, the temperature control strategy is adjusted.

8. A temperature control device for an electric vehicle battery pack, characterized in that: The electric vehicle battery pack temperature control device comprises: A temperature information acquisition module, used to acquire the temperature information of each battery cell, summarize the temperature information of each battery cell, and generate the overall temperature information of the battery pack; An external environment temperature acquisition and temperature prediction module is used to acquire external environment temperature information, input the overall temperature information of the battery pack and the external environment temperature information into a nonlinear heat change model, predict the temperature change trend of the battery pack in the future, and generate corresponding battery temperature trend information; A temperature control strategy adjustment module, used to dynamically adjust the temperature control strategy in the battery pack according to the battery temperature trend information; The regional temperature control module is used to adjust the working mode of the temperature control equipment in each area of ​​the battery pack based on the temperature control strategy.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the electric vehicle battery pack temperature control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the electric vehicle battery pack temperature control method as claimed in any one of claims 1 to 7 are implemented.

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