Battery pack heat preservation and heating control method, device and equipment and medium

Abstract

The invention relates to the technical field of battery packs, in particular to a battery pack heat preservation and heating control method, device and equipment and a medium. The bag-shaped heat preservation heating sleeve with the heat insulation layer is arranged outside the battery pack to control the temperature; the method comprises the following steps: firstly, acquiring temperature data of each region by using a temperature sensor to analyze and evaluate a temperature state, identifying a temperature abnormal region, performing directional heating analysis, and generating heating control parameters; then, according to the parameters, the heating power of the local area is adjusted, a control signal is sent to a controller, and the output power of the heating film in each area is adjusted; the battery pack can be flexibly installed after leaving a factory, the temperature control effect is improved through the heat insulation effect of the heat preservation heating sleeve and accurate partition control, the battery can be kept at the proper charging and discharging temperature, the effective discharging rate of the battery is improved, and the original battery pack structure does not need to be changed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery packs, in particular to a battery pack heat preservation and heating control method, device, equipment and medium. BACKGROUND

[0002] With the rapid development of new energy vehicle technology, the temperature management of the battery pack plays a decisive role in its performance and service life. In extreme temperature environments, the charging and discharging efficiency and cycle life of the battery pack will be significantly affected. Therefore, it is crucial to establish an efficient and reliable battery pack temperature control system to improve battery performance and prolong service life.

[0003] The existing battery pack temperature control scheme mainly uses built-in heating films or liquid cooling systems for temperature regulation. These systems need to complete system layout and structure design at the initial stage of battery pack design, use fixed temperature control devices and control strategies, and achieve temperature regulation through internally integrated heating or refrigeration devices.

[0004] The existing technology products cannot be adjusted and improved according to actual use after sale, the system use flexibility is seriously limited, and the system effective discharge rate is low in extreme temperature environments, affecting the overall energy utilization efficiency; this situation needs to be further improved. SUMMARY

[0005] In order to solve the problem that the existing battery pack temperature control cannot be flexibly adjusted, and the system effective discharge rate is low in extreme temperature environments, affecting the overall energy utilization efficiency, the present application provides a battery pack heat preservation and heating control method, device, equipment and medium, which adopts the following technical scheme: In a first aspect, the present application provides a battery pack heat preservation and heating control method applied to a heating film system with multiple independently controllable heating areas, the heating film system is arranged in a bag-shaped heat preservation and heating sleeve, the heat preservation and heating sleeve includes a heat insulation layer, and the method includes the following steps: Obtain temperature data of the battery pack; According to the temperature data, analyze the temperature state of the battery pack to obtain a temperature state evaluation result; According to the temperature state evaluation result, the battery pack is judged by partition, the local area with abnormal temperature state is analyzed for directional heating, and corresponding heating control parameters are obtained; According to the heating control parameters, adjust the heating power of the local area, generate and send heating control signals to the heating controller according to the adjusted heating power, so that the heating controller adjusts the output power of each area heating film according to the heating control signals.

[0006] By adopting the technical scheme, the application realizes the control of the temperature of the battery pack by arranging the bag-shaped heat preservation and heating sleeve with the heat insulation layer outside the battery pack. Firstly, the temperature data of each region of the battery pack is acquired by the temperature sensor, and then the temperature state is analyzed and evaluated based on the temperature data. According to the evaluation result, the region with temperature abnormality is identified, and directional heating analysis is performed on the region to generate corresponding heating control parameters. Then, the heating power of the local region is adjusted according to the control parameters, and the adjusted heating control signal is sent to the controller to realize the adjustment of the output power of each region of the heating film. Not only can the battery pack be flexibly installed after leaving the factory, but also the temperature control effect is improved by the heat insulation effect and partition accurate control of the heat preservation and heating sleeve, so that the battery can be kept at a suitable charging and discharging temperature, and the effective discharge rate of the battery is improved. At the same time, the implementation of the scheme does not need to change the original structure of the battery pack.

[0007] Optionally, according to the temperature data, the temperature state of the battery pack is analyzed to obtain a temperature state evaluation result, specifically including the following steps: Based on the time sequence of the temperature data, the temperature change trend and the temperature fluctuation range of each sampling point are calculated. According to the temperature change trend and the temperature fluctuation range, the dynamic deviation of each region from the target temperature is calculated. According to the dynamic deviation, the deviation degree of the current temperature state from the preset temperature range is analyzed to obtain the temperature abnormality level of the current sampling point.

[0008] By adopting the technical scheme, the application firstly analyzes and calculates the temperature change trend and fluctuation range of each sampling point based on the collected temperature data time sequence. Then, the change characteristics are compared with the target temperature to calculate the dynamic deviation of each region. Then, according to the dynamic deviation, the deviation degree of the temperature state from the preset temperature range is analyzed to determine the temperature abnormality level of each sampling point. The overall evaluation of the temperature state is realized, which can not only timely find the local temperature abnormality, but also accurately reflect the uniformity of the temperature distribution.

[0009] Optionally, after obtaining the temperature state evaluation result, the method further includes: According to the temperature fluctuation range and the dynamic deviation, the temperature stability index of each sampling point is calculated, and the temperature stability index is obtained based on the weighted calculation of the temperature change rate, the temperature fluctuation frequency and the temperature duration. Based on the temperature stability index and the temperature abnormality level, the temperature change risk level of each region is determined. According to the temperature change risk level, the predicted temperature of the battery pack in a preset future time is calculated. When the predicted temperature is lower than a preset temperature threshold, a preheating control signal is sent to the heating controller.

[0010] By adopting the technical scheme, after obtaining the temperature state evaluation result, the system further calculates the temperature stability index of each sampling point according to the temperature fluctuation range and dynamic deviation obtained in the early stage, and the index is obtained by weighted calculation of the temperature change rate, temperature fluctuation frequency and temperature duration; then, the system comprehensively determines the temperature change risk level of each region based on the calculated temperature stability index and the temperature abnormality level determined in the early stage; the system calculates the predicted temperature of the battery pack in the future preset time according to the temperature change risk level of each region by using the temperature change model; finally, when the system detects that the predicted temperature is lower than the preset temperature threshold, a preheating control signal is immediately sent to the heating controller to realize preheating in advance, so as to ensure that the battery pack reaches the appropriate temperature when it is needed; the multi-dimensional temperature stability index realizes accurate quantitative evaluation of the temperature change rule, the risk level hierarchical management improves the accuracy of temperature prediction; the predictive preheating control changes passive response to active prevention, effectively reducing the problems such as preheating lag, increased energy consumption and damaged battery performance in the traditional scheme.

[0011] Optionally, according to the temperature state evaluation result, the battery pack is partitioned and judged, the local area with abnormal temperature state is directionally heated and analyzed to obtain corresponding heating control parameters, specifically including the following steps: According to the temperature state evaluation result, the battery pack is partitioned and judged to determine the position and range of the temperature abnormal area; Based on the distribution of the temperature abnormal area, the temperature compensation demand of each region is calculated; According to the temperature compensation demand, the heating power required by each abnormal area is determined in combination with the real-time temperature data of the adjacent region; Based on the heating power, the heating control parameters of the corresponding area heating film are generated.

[0012] By adopting the above technical solutions, since the battery pack faces complex situations such as uneven charging and discharging load, poor heat dissipation conditions, and external heat source influence such as local damage of the thermal insulation layer during actual use, the temperatures of different regions often show obvious differences. The application first performs partition analysis on the battery pack according to the temperature state evaluation result, identifies the specific position and influence range of the temperature abnormal region through temperature distribution characteristics; then, based on the spatial distribution characteristics of the abnormal region, the required temperature compensation amount of each region is calculated to ensure the rationality of the compensation scheme; then, the temperature compensation demand of the abnormal region is combined with the real-time temperature data of the adjacent region, and the accurate heating power required by each abnormal region is determined through heat conduction analysis to avoid excessive or insufficient heating; finally, according to the calculated heating power, the specific control parameters of the heating film of each region are generated to ensure the controllability of the heating process; the targeted adjustment of the temperature abnormal region is realized, which not only improves the heating efficiency and reduces the energy consumption, but also ensures the uniformity of the overall temperature distribution of the battery pack.

[0013] Optionally, based on the heating power, heating control parameters of the corresponding region heating film are generated, specifically including the following steps: According to the priority level of temperature compensation and the safety temperature range of the battery pack, and in combination with the heat insulation performance of the thermal insulation heating sleeve, a corresponding reference temperature rising rate is selected, the safety temperature range of the battery pack is determined according to the material characteristics, structure parameters and service life state of the battery pack, and is adaptively updated with the number of charging and discharging cycles; In combination with the time constraint of the temperature compensation demand, the reference temperature rising rate is dynamically adjusted to obtain a preset temperature rising rate, and the time constraint is determined based on the temperature response characteristics of the battery pack, the thermal diffusion characteristics of the thermal insulation heating sleeve and the temperature equalization requirement; According to the preset temperature rising rate, heating control parameters of the corresponding region heating film are generated.

[0014] By adopting the technical scheme, in the process of generating the heating control parameter based on the heating power, the system first selects the corresponding reference temperature rising rate according to the priority level of temperature compensation and the battery pack safety temperature range, in combination with the heat insulation performance of the heat preservation heating jacket, wherein the determination of the battery pack safety temperature range fully considers key factors such as material characteristics, structural parameters and service life state of the battery, and a dynamic adjustment mechanism that is adaptively updated with the number of charge and discharge cycles is established, to ensure that the safety temperature range always matches the current aging state of the battery; then, the system dynamically adjusts the reference temperature rising rate determined in the early stage in combination with the time constraint condition of the temperature compensation requirement, to obtain a more accurate preset temperature rising rate, and the determination of the time constraint comprehensively considers multi-dimensional factors such as temperature response characteristics of the battery pack, heat diffusion characteristics of the heat preservation heating jacket and temperature equalization requirements, to ensure that the temperature rising process meets the timeliness requirement and guarantees the uniformity of temperature distribution; finally, the system generates specific heating control parameters of the corresponding regional heating film according to the preset temperature rising rate that is optimized and adjusted, including key control instructions such as heating power, heating time and heating frequency, to realize accurate regional temperature control; the scientific generation of the heating control parameter is realized through multi-factor comprehensive consideration, the safety of the battery in different aging states is ensured through the adaptive safety temperature range, and the heating efficiency and temperature uniformity are considered through the dynamic temperature rising rate adjustment, to effectively solve problems such as parameter solidification, insufficient safety and low control precision in the traditional scheme, and significantly improve the intelligentization and safety level of the battery pack temperature management.

[0015] Optionally, the heat preservation heating jacket is designed in a bag shape and has plasticity and a closing structure, and from the outside to the inside, sequentially includes a waterproof layer, a foam outer layer, a heat insulation layer, a heating layer and a foam inner layer.

[0016] By adopting the technical scheme, through the synergistic effect of the multi-layer structure, flexible adaptation to the battery pack, effective waterproofing and external extrusion buffering are realized, and excellent heat preservation performance is provided in a low-thermal-conductivity heat insulation layer in a low-temperature environment, thereby reducing the influence of the external low-temperature environment on the operation efficiency and service life of the battery pack.

[0017] Optionally, the heating control signal includes a PWM modulation parameter, a heating film voltage set value and a heating time parameter, the system generates a corresponding heating control signal according to the heating control parameter, and sends the heating control signal to a heating controller through a digital communication interface.

[0018] By adopting the technical scheme, through the combination design of multi-dimensional control parameters, precise adjustment and timing control of the output power of the heating film are realized.

[0019] In a second aspect, the application provides a battery pack heat preservation heating control device, which is applied to a heating film system having a plurality of independently controllable heating areas, the heating film system being arranged in a bag-shaped heat preservation heating cover, the heat preservation heating cover comprising a heat insulation layer, and the device comprising: a temperature data acquisition module configured to acquire temperature data of the battery pack; a temperature state evaluation module configured to analyze a temperature state of the battery pack according to the temperature data to obtain a temperature state evaluation result; a control parameter acquisition module configured to perform partitioning judgment on the battery pack according to the temperature state evaluation result, perform directional heating analysis on a local area with an abnormal temperature state, and obtain corresponding heating control parameters; an output power adjustment module configured to adjust a heating power of the local area according to the heating control parameters, generate and send a heating control signal to a heating controller according to the adjusted heating power, so that the heating controller adjusts output powers of the heating films of the areas according to the heating control signal.

[0020] In a third aspect, the application provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the battery pack heat preservation heating control method when executing the computer program.

[0021] In a fourth aspect, the application provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the battery pack heat preservation heating control method when executed by a processor.

[0022] In summary, the application has at least one of the following beneficial technical effects: 1. The application controls temperature by arranging a bag-shaped heat preservation heating cover with a heat insulation layer outside the battery pack. Firstly, temperature data of each area is acquired by using a temperature sensor to analyze and evaluate a temperature state, identify a temperature abnormal area, and perform directional heating analysis to generate heating control parameters. Then, the heating power of the local area is adjusted according to the parameters, and a control signal is sent to the controller to adjust the output power of the heating film of each area. The device can be installed flexibly after the battery pack is manufactured, and the heat insulation effect and partitioning accurate control of the heat preservation heating cover improve the temperature control effect, so that the battery can be kept at a suitable charging and discharging temperature, and the effective discharge rate of the battery is improved without changing the original structure of the battery pack. 2. Firstly, based on the collected temperature data time series, the temperature change trend and fluctuation range of each sampling point are analyzed and calculated; then the change characteristics are compared with the target temperature, and the dynamic deviation of each region is calculated; then the deviation degree of the temperature state from the preset temperature range is analyzed according to the dynamic deviation, and the temperature abnormality level of each sampling point is determined; the overall evaluation of the temperature state is realized, which can not only find the local temperature abnormality in time, but also accurately reflect the uniformity of temperature distribution; 3. In the process of generating heating control parameters based on heating power, the system first selects the corresponding reference temperature rising rate according to the priority level of temperature compensation and the battery pack safety temperature range, combined with the heat insulation performance of the heat preservation heating jacket, wherein the battery pack safety temperature range fully considers the key factors such as material characteristics, structure parameters and service life state of the battery pack, and a dynamic adjustment mechanism is established for adaptive updating with the number of charge and discharge cycles; then, the system dynamically adjusts the reference temperature rising rate combined with the time constraint condition of temperature compensation demand, to obtain the preset temperature rising rate, which comprehensively considers multi-dimensional factors such as temperature response characteristics of the battery pack, heat diffusion characteristics of the heat preservation heating jacket and temperature equalization requirements; finally, the system generates specific heating control parameters of the corresponding regional heating film according to the preset temperature rising rate, including heating power, heating time, heating frequency and other key control instructions; the adaptive safety temperature range ensures the safety of the battery under different aging states, and the dynamic temperature rising rate adjustment takes into account the heating efficiency and temperature uniformity, effectively solving the problems of parameter fixation, insufficient safety and low control precision in traditional schemes. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 is a flowchart of a battery pack heat preservation and heating control method according to an embodiment of the present application; Figure 2 is a flowchart of step S200 in a battery pack heat preservation and heating control method according to an embodiment of the present application; Figure 3 is a flowchart of preheating control in a battery pack heat preservation and heating control method according to an embodiment of the present application; Figure 4 is a flowchart of step S300 in a battery pack heat preservation and heating control method according to an embodiment of the present application; Figure 5 is a flowchart of step S340 in a battery pack heat preservation and heating control method according to an embodiment of the present application; Figure 6 is a module diagram of a battery pack heat preservation and heating control device according to an embodiment of the present application; Figure 7 is an internal structure diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to be limiting of the present application. As used in the specification and the appended claims of the present application, the singular forms "a," "an" and "the" are intended to include plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or," as used herein, refers to any or all possible combinations of one or more of the associated listed items.

[0025] Hereinafter, the terms "first", "second" are only for the purpose of description, and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "multiple" is two or more, unless otherwise specified.

[0026] The embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0027] In a first aspect, the present application provides a battery pack heat preservation and heating control method, referring to Figure 1 , applied to a heating film system with multiple independently controllable heating areas, the heating film system is arranged in a heat preservation and heating sleeve in the form of a bag, the heat preservation and heating sleeve includes a heat insulation layer, and the method includes the following steps: S100, acquiring temperature data of the battery pack.

[0028] The heat preservation and heating sleeve has plasticity and a closing structure, and from the outside to the inside, it includes a waterproof layer, a foam outer layer, a heat insulation layer, a heating layer and a foam inner layer in sequence, the heating control circuit is arranged between the heating layer and the foam inner layer, the foam inner layer and the foam outer layer are made of insulating and flame-retardant materials, the heat insulation layer is made of a material with extremely low thermal conductivity, such as zirconium oxide or aluminum oxide, which can provide effective heat preservation in a temperature environment of-50℃ or below. The heat preservation and heating sleeve is designed in the form of a bag, has the characteristics of flexibility and convenience, can be added as needed after the battery pack is installed, is convenient to disassemble after installation, has a waterproof function, can effectively buffer external extrusion and reduce the negative impact of extrusion, thereby effectively isolating the influence of the external environment temperature on the operation efficiency and service life of the battery, and ensuring that the battery pack still works normally and efficiently in a low temperature environment of-30℃ or even-40℃ or below.

[0029] In the present embodiment, the temperature data refers to temperature information collected in real time by multiple temperature sensors arranged inside, on the surface of the battery pack and inside the heat preservation and heating sleeve, including temperature parameters of multiple dimensions such as the temperature of each single battery, the overall temperature distribution of the battery pack, the internal temperature gradient of the heat preservation sleeve and the environmental temperature, which are suitable for lithium ion batteries, sodium ion batteries and other items that need to be heat preserved or insulated.

[0030] Specifically, the system is connected with the battery management system BMS and the energy storage converter PCS to obtain temperature data of each monitoring point of the battery pack in real time. Meanwhile, the system collects internal temperature distribution information of the heat preservation sleeve through a temperature sensor network arranged between the inner layer of the foam of the heat preservation sleeve and the heating layer. During data acquisition, the system pre-establishes a temperature sensor position mapping table, which records the spatial coordinates of each sensor, the corresponding battery unit number, the sensor type, and the data transmission protocol, to ensure the accuracy and integrity of the temperature data. The heating control circuit can be physically controlled according to the heating time or temperature setting. When the heating time or temperature reaches the set value, the circuit is directly cut off. When the heating control circuit is started below the set time or temperature, for example, in a typical battery pack, the system arranges temperature sensors near the positive and negative electrodes, in the central region, and in the edge region of the battery pack, and sets corresponding temperature monitoring points in the waterproof layer, the heat insulation layer, and the heating layer of the heat preservation sleeve, forming a three-dimensional temperature monitoring network.

[0031] S200, analyzing the temperature state of the battery pack according to the temperature data to obtain a temperature state evaluation result.

[0032] In this embodiment, the temperature state evaluation result refers to an evaluation conclusion that whether the current temperature condition of the battery pack is normal or whether temperature control intervention is needed, based on the obtained temperature data, by analyzing the temperature distribution uniformity, temperature change trend, temperature abnormal area, and temperature stability, and the like. The evaluation process effectively improves the insulation and fire safety performance of the battery pack, and can effectively avoid the after-sales risk of the battery pack and improve the operation and maintenance efficiency.

[0033] Specifically, the system uses a temperature state classification database for evaluation and analysis. The database pre-stores standard temperature characteristic parameters under different battery types and different environmental conditions, including normal temperature range, abnormal temperature threshold, temperature change rate limit, and temperature distribution standard deviation range. The system compares and matches the real-time temperature data with the standard parameters in the database, calculates key indicators such as temperature deviation, temperature uniformity coefficient, and temperature stability index, and generates a temperature state evaluation result. In the five-layer structure design of the heat preservation sleeve, the outermost waterproof layer provides waterproof protection, the foam outer layer and the foam inner layer provide insulation and flame retardation functions, the heat insulation layer uses materials with extremely low thermal conductivity such as zirconia to ensure excellent heat preservation and insulation effect, and the heating layer provides precise temperature regulation function. For example, when it is detected that the temperature of a certain area of the battery pack is lower than the standard working temperature range and the duration exceeds the preset threshold, the system marks the area as “temperature abnormality-need heating” state, and calculates the specific temperature compensation requirement.

[0034] S300, according to the temperature state evaluation result, the battery pack is partitioned and judged, the local area with abnormal temperature state is analyzed by directional heating, and the corresponding heating control parameter is obtained.

[0035] In this embodiment, the partition judgment refers to dividing the battery pack into multiple independent temperature control areas according to the physical structure and temperature distribution characteristics of the battery pack. Each area corresponds to a heating film unit in the heat preservation heating jacket that can be independently controlled, realizing accurate local temperature regulation. The heating source can be a heating film, a heating resistor, or a fluid heating, combustion, etc. to realize internal temperature rise. The system can also be configured as a pure heat preservation and insulation mode without a heating layer.

[0036] Specifically, the system establishes a battery pack partition control mapping database. According to the size specifications of the battery pack, the arrangement mode of the single battery, the heat dissipation structure design, and the layout of the heat preservation jacket heating film, a standard partition scheme is defined in advance. The system queries the database, combines the specific model and installation mode of the current battery pack, and determines the applicable partition configuration scheme. For the identified temperature abnormal area, the system uses a heat conduction calculation model for directional heating analysis. The model considers the thermal conductivity coefficient of each layer of the heat preservation jacket, the heat capacity of the battery pack, the influence of the environment temperature, and the heat exchange effect of the adjacent area. The heat preservation heating jacket can not only be bag-shaped, but also be designed in other shapes, and can be flexible or inflexible. It is flexible and convenient to use. It can be used after the equipment is installed, effectively reducing the heating self-consumption power. For example, when the temperature of the upper left corner area of the battery pack is abnormal, the system calculates the heat required for the area to reach the target temperature, considers the heat preservation effect of the insulation layer and the heat conduction influence of the adjacent area, and finally determines the power requirement and heating time parameters of the corresponding heating film.

[0037] S400, adjusting the heating power of the local area according to the heating control parameter, generating and sending the heating control signal to the heating controller according to the adjusted heating power, so that the heating controller adjusts the output power of the heating film in each area according to the heating control signal.

[0038] In this embodiment, the heating control signal refers to a digital signal generated by the system according to the calculated heating control parameter, which is used to guide the heating controller to accurately adjust the working state of each area heating film. It includes heating power instruction, heating time setting, heating mode selection and safety protection parameter. The system can communicate and control with BMS, PCS and EMS, or can not communicate with these systems and independently apply various heating modes.

[0039] Specifically, the system establishes a heating power control instruction library, which contains control instructions of different power levels, corresponding PWM modulation parameters, heating film voltage and current set values, and safety protection thresholds. The system matches the most suitable control instruction combination in the instruction library according to the heating control parameters calculated in the early stage, and adjusts the power in combination with the current power supply state. The heating module preferentially selects photovoltaic or mains power, and in the absence of photovoltaic and mains power, the battery system can be powered. Before the heating film takes power, it must communicate with the battery system BMS to confirm that the temperature conditions are met before being powered on. After receiving the control signal, the heating controller executes the heating operation according to the preset control strategy: first, it judges whether the current temperature meets the heating conditions, then it selects the corresponding heating power mode according to the temperature range, and automatically stops heating when the set temperature or time is reached, effectively improving the battery pack insulation fire safety problem and avoiding battery pack after-sales risks. For example, when the system detects that the battery pack temperature T0 is less than the set threshold T3, the heating mode of power level P1 is started; when T0 is between T3 and T4, the heating mode of power level P2 is started, ensuring the safety and efficiency of the heating process.

[0040] In one embodiment, with reference to Figure 2 In step S200, the temperature state of the battery pack is analyzed according to the temperature data to obtain a temperature state evaluation result, which includes the following steps: S210, based on the time series of temperature data, the temperature change trend and temperature fluctuation range of each sampling point are calculated.

[0041] In this embodiment, the system pre-establishes a temperature change feature extraction rule library, which contains temperature change pattern recognition methods under different time scales, covering three levels of calculation rules: short-term fluctuation recognition, medium-term trend analysis, and long-term stability evaluation. The system uses sliding window technology to segment the temperature time series, and identifies the basic trend of temperature change by calculating the temperature difference, temperature change rate, and cumulative change amount of adjacent time points.

[0042] Specifically, the system uses a combination of standard deviation calculation method and peak-valley difference analysis method to establish a temperature fluctuation feature data table, which records the temperature fluctuation reference values of different battery types under normal working conditions. In the fluctuation range calculation, the system quantifies the temperature fluctuation degree by calculating the variance, range, and interquartile range of temperature data within a specific time window. For example, for lithium-ion batteries, the system calculates the temperature change rate within a five-minute time window. When the temperature change rate of three consecutive time points is positive and the value is increasing, it is determined that the temperature is rising, and the maximum temperature difference in this time period is calculated as the fluctuation range indicator.

[0043] S220, according to the temperature change trend and temperature fluctuation range, the dynamic deviation of each region from the target temperature is calculated.

[0044] In this embodiment, the system establishes a target temperature reference database, which establishes a multi-dimensional target temperature reference value matrix according to the battery type, working mode, environmental conditions, and charging and discharging state. The system determines the dynamic target temperature value of each region by querying the database and combining the actual working state of the current battery pack.

[0045] Specifically, the system uses a weighted fusion algorithm to comprehensively calculate the static temperature deviation, temperature change trend deviation, and fluctuation range deviation according to preset weight coefficients. The system pre-establishes a deviation calculation formula library, including linear deviation calculation, nonlinear deviation calculation, and time decay deviation calculation, and selects an appropriate calculation formula according to different application scenarios. For example, when the current temperature of a certain region is the measured value, the target temperature is the reference value, and the temperature rising trend coefficient is positive, the system multiplies the static deviation by the trend correction coefficient, and then combines the fluctuation stability correction factor to calculate the comprehensive dynamic deviation value of the region.

[0046] S230, according to the dynamic deviation, analyze the deviation degree of the current temperature state from the preset temperature range, and obtain the temperature abnormality level of the current sampling point.

[0047] In this embodiment, the system establishes a temperature abnormality level determination standard table, and formulates corresponding deviation threshold intervals and level division standards according to different battery chemical systems, different working environments, and different safety requirements. The system compares the calculated dynamic deviation value with the threshold values in the standard table step by step, and determines the abnormality level by interval matching.

[0048] Specifically, the system establishes an abnormality level correction rule library, which considers the deviation duration, deviation change rate, and adjacent region correlation influencing factors to correct and optimize the preliminary determination result. The system also establishes an abnormality level historical record database to track the development trend and periodic characteristics of temperature abnormalities, and provides historical reference basis for abnormality level determination. For example, when the dynamic deviation value of a certain sampling point falls within the slight abnormality interval, but the duration exceeds the preset threshold, or similar deviations occur in adjacent regions, the system will upgrade the abnormality level of the sampling point to moderate abnormality, ensuring the accuracy and timeliness of temperature state evaluation.

[0049] In one embodiment, with reference to Figure 3 , after obtaining the temperature state evaluation result in step S200, the method further includes: S240, according to the temperature fluctuation range and the dynamic deviation, calculating the temperature stability index of each sampling point, which is obtained by weighted calculation based on the temperature change rate, temperature fluctuation frequency, and temperature duration.

[0050] In this embodiment, the system establishes a temperature stability evaluation parameter library, which includes standard configuration schemes of temperature change rate weight coefficient, temperature fluctuation frequency weight coefficient, and temperature duration weight coefficient. The system determines the applicable weight configuration scheme by querying the parameter library and combining the specific application scenario of the current battery pack.

[0051] Specifically, the system calculates the temperature stability index by using a multi-dimensional weighted fusion algorithm. The temperature change rate is standardized and multiplied by the corresponding weight. The temperature fluctuation frequency is converted into stability contribution degree through frequency domain analysis and multiplied by the corresponding weight. The temperature duration is processed by a time decay function and multiplied by the corresponding weight. Finally, the comprehensive stability index is obtained by linear combination. The system establishes a stability index calculation rule library, including fast estimation method, accurate calculation method, and real-time optimization method. The appropriate calculation method is selected according to the calculation resource and accuracy requirement. For example, when the temperature change rate of a certain sampling point remains in a small range within ten minutes, the fluctuation frequency is lower than the preset threshold, and the duration of the stable state is longer, the system calculates a higher temperature stability index value, indicating that the temperature state of this region is relatively stable.

[0052] S250, determining the temperature change risk level of each region based on the temperature stability index and the temperature anomaly level.

[0053] In this embodiment, the system establishes a risk level evaluation matrix, taking the temperature stability index as the horizontal axis and the temperature anomaly level as the vertical axis, forming a two-dimensional risk evaluation grid. Each grid corresponds to a specific risk level classification. The system locates the stability index and anomaly level of each region by querying the evaluation matrix, and quickly determines the corresponding risk level.

[0054] Specifically, the system establishes a risk level decision tree, which uses multi-level judgment logic. First, it performs coarse classification according to the temperature anomaly level, then performs fine classification according to the temperature stability index, and finally modifies the level combined with the historical risk trend. The system also establishes a risk level dynamic adjustment rule library, which considers the risk propagation of adjacent regions, time accumulation effect, and environmental change influencing factors, and updates the risk level in real time. For example, when the temperature anomaly level of a certain region is moderate, but the temperature stability index is high, the system classifies the risk level of this region as moderate risk; when the stability index is low, it is upgraded to high risk level, ensuring the accuracy of risk assessment.

[0055] S260, calculating the predicted temperature of the battery pack within a preset time in the future according to the temperature change risk level.

[0056] In this embodiment, the system establishes a temperature prediction model library, which includes various prediction methods such as linear prediction models, nonlinear prediction models, and machine learning prediction models. Corresponding model selection strategies are configured for different risk levels and prediction time lengths. The system selects a suitable prediction model for temperature trend prediction based on the risk level of each region.

[0057] Specifically, the system employs a hierarchical prediction strategy: a simplified linear extrapolation method for low-risk areas, a multiple regression prediction method for medium-risk areas, and a composite prediction algorithm for high-risk areas. The system establishes a prediction parameter calibration database, storing correction coefficients for prediction parameters under different environmental conditions to improve prediction accuracy. The system also establishes a prediction result verification mechanism, dynamically adjusting prediction model parameters by comparing historical prediction accuracy. For example, for high-risk areas, the system comprehensively considers current temperature trends, historical change patterns, the influence of ambient temperature, and changes in battery operating status, using time series analysis to predict the temperature change trajectory within the next thirty minutes.

[0058] S270. When the predicted temperature is lower than the preset temperature threshold, a preheating control signal is sent to the heating controller.

[0059] In this embodiment, the system establishes a preheating trigger condition judgment table, and sets corresponding temperature threshold parameters and trigger logic according to different battery types, different operating modes, and different environmental conditions. The system compares the predicted temperature with the threshold in the judgment table, and immediately generates a preheating control signal when the preheating trigger condition is met.

[0060] Specifically, the system establishes a preheating control signal generation rule base, which includes control rules at multiple levels, such as signal priority settings, signal transmission protocols, and signal security verification. Based on the predicted temperature drop, the expected time to reach the threshold, and the current power supply status, the system generates preheating control signals of appropriate intensity and duration. The system also establishes a preheating effect evaluation and feedback mechanism, which verifies the effectiveness of preheating control and optimizes parameters by monitoring the temperature response during the preheating process. For example, when the system predicts that the temperature in a certain area will drop below a preset threshold in twenty minutes, it immediately sends a preheating control signal to the heating controller, containing the target heating power, expected heating time, and safety protection parameters, thus achieving early preheating intervention.

[0061] In one embodiment, refer to Figure 4 In step S300, based on the temperature status assessment results, the battery pack is divided into zones for judgment, and targeted heating analysis is performed on local areas with abnormal temperature status to obtain the corresponding heating control parameters. Specifically, this includes the following steps: S310. Based on the temperature condition assessment results, the battery pack is divided into zones to determine the location and range of abnormal temperature areas.

[0062] In this embodiment, the system establishes a battery pack partition mapping table, which establishes a standardized regional division scheme according to the physical structure of the battery pack, the sensor layout, and the heating film distribution. The system quickly locates the specific position of the temperature abnormal region by querying the mapping table combined with the abnormality identification in the temperature state evaluation result.

[0063] Specifically, the system uses a regional clustering analysis method to merge adjacent temperature abnormal sampling points to form a continuous abnormal region range. The system establishes an abnormal region boundary determination rule library, including boundary expansion rules, boundary contraction rules, and boundary merging rules. For example, when the system detects that three adjacent sampling points on the left side of the battery pack show temperature abnormalities, the three points are merged into a continuous abnormal region through regional clustering analysis, and the boundary coordinate range of the region is determined.

[0064] S320, based on the distribution of the temperature abnormal region, calculate the temperature compensation demand of each region.

[0065] In this embodiment, the system establishes a temperature compensation demand calculation formula library, including basic compensation calculation formulas, correction compensation calculation formulas, and dynamic compensation calculation formulas, which provides corresponding calculation methods for different abnormal degrees and region characteristics. The system selects appropriate calculation formulas according to the temperature deviation degree, region area size, and heat capacity characteristics of each abnormal region.

[0066] Specifically, the system uses a heat balance analysis method to calculate the temperature compensation demand, considering the difference between the target temperature and the current temperature, the heat capacity of the battery cells in the region, the environmental heat loss rate, and other factors. The system establishes a compensation demand correction coefficient database, which stores compensation correction parameters under different battery types and different environmental conditions. For example, for an abnormal region with a negative temperature deviation, the system calculates the total heat required for the region to rise from the current temperature to the target temperature, and then considers the heat conduction loss to determine the actual temperature compensation demand of the region.

[0067] S330, according to the temperature compensation demand, combined with the real-time temperature data of adjacent regions, determine the heating power required by each abnormal region.

[0068] In this embodiment, the system establishes a power demand conversion algorithm library to convert temperature compensation demand into specific heating power demand, including power-temperature conversion formulas, time-power distribution formulas, and other conversion methods. The system selects appropriate conversion algorithms according to the power characteristics, heating efficiency, response time, and other parameters of the heating film.

[0069] Specifically, the system adopts a neighboring area thermal coupling analysis method, considers the heat exchange influence between the abnormal area and the neighboring normal area, and dynamically adjusts the heating power demand. The system establishes an inter-area heat conduction influence coefficient matrix to describe the heat conduction strength between areas. For example, when the temperature of the neighboring area of an abnormal area is high, the system will consider the positive influence of heat conduction and appropriately reduce the heating power demand of the abnormal area; when the temperature of the neighboring area is low, the heating power needs to be increased to compensate for the heat loss.

[0070] S340, based on the heating power, generating heating control parameters of the corresponding area heating film.

[0071] In this embodiment, the system establishes a heating control parameter generation template library, which contains standard control parameter configurations under different power levels, covering key parameters such as voltage set value, current limit value, PWM duty cycle, heating time setting, etc. The system matches the corresponding parameter configuration scheme in the template library according to the calculated heating power demand.

[0072] Specifically, the system uses a parameter optimization algorithm to individually adjust the template parameters, considering factors such as the actual characteristics of the heating film, power supply capacity, heat dissipation conditions, etc., to correct the standard parameters. The system establishes a control parameter verification rule library to ensure that the generated control parameters meet the system requirements through safety checks and effectiveness verification. For example, for an area that needs moderate power heating, the system selects the corresponding parameter configuration from the template library, and then adjusts the voltage set value and PWM duty cycle according to the specific model of the area heating film to generate specific heating control parameter instructions.

[0073] In one embodiment, referring to Figure 5 , in step S340, based on the heating power, generating heating control parameters of the corresponding area heating film, specifically including the following steps: S341, according to the priority level of temperature compensation and the safety temperature range of the battery pack, combined with the heat insulation performance of the heat preservation heating sleeve, selecting a corresponding reference temperature rise rate.

[0074] Wherein, the safety temperature range of the battery pack is determined according to the material characteristics, structure parameters and service life state of the battery, and is adaptively updated with the number of charge and discharge cycles.

[0075] In this embodiment, the system establishes a reference temperature rise rate selection table, which establishes a multi-level temperature rise rate standard according to the temperature compensation priority level, including a high-priority fast temperature rise mode, a medium-priority balanced temperature rise mode, and a low-priority slow temperature rise mode. The system determines the preliminary temperature rise rate range by querying the selection table combined with the priority level and urgency of the current abnormal area.

[0076] Specifically, the system establishes a dynamic updating mechanism for the safe temperature range of the battery pack. The mechanism establishes a safe temperature boundary correction algorithm according to the material aging degree, structural deformation, and charge-discharge cycle historical data of the battery pack. The system matches and calculates the heat insulation coefficient, thermal conductivity, and heat capacity of the heat preservation jacket with the baseline heating rate to ensure that the heating process does not exceed the safe temperature range. For example, for a high-priority temperature abnormal area, the system selects a higher baseline heating rate under the premise of ensuring the safe temperature range; for a battery pack with serious material aging, the system correspondingly reduces the baseline heating rate to ensure heating safety.

[0077] S342, dynamically adjusting the baseline heating rate in combination with the time constraint of temperature compensation, to obtain a preset heating rate.

[0078] The time constraint is determined based on the temperature response characteristics of the battery pack, the heat diffusion characteristics of the heat preservation jacket, and the temperature equalization requirements.

[0079] In this embodiment, the system establishes a time constraint evaluation model, and establishes time constraint parameters according to the temperature response lag time of the battery pack, the heat diffusion speed of the heat preservation jacket, and the temperature equalization requirements of adjacent areas. The system corrects the baseline heating rate by analyzing the urgency and available time window of the current temperature compensation.

[0080] Specifically, the system uses a multi-factor weighing algorithm to dynamically adjust the heating rate, which considers factors such as temperature response delay, heat diffusion unevenness, and energy consumption optimization requirements. The system establishes a heating rate correction coefficient database to store rate adjustment parameters under different environmental conditions and battery states. For example, when the system detects that temperature compensation needs to be completed in a short time, it will appropriately increase the heating rate within the safe range; when it detects that the heat preservation jacket has slow heat diffusion, it will reduce the heating rate to avoid local overheating and temperature unevenness.

[0081] S343, generating heating control parameters of the corresponding area heating film according to the preset heating rate.

[0082] In this embodiment, the system establishes a heating rate conversion calculation library to convert the preset heating rate into specific electric control parameters of the heating film, including power-heating rate conversion formula, voltage-current matching relationship, PWM control strategy, and other conversion rules. The system selects the corresponding conversion calculation method according to the technical specifications and performance parameters of different types of heating films.

[0083] Specifically, the system adopts a parameter generation optimization algorithm, which calculates the voltage set value, current limit value, control cycle time and other specific parameters required to achieve the preset temperature rise rate according to the rated power, resistance characteristics, temperature coefficient and other technical parameters of the heating film. The system establishes a parameter safety verification mechanism to verify the generated control parameters in terms of electrical safety, thermal safety, system compatibility and other aspects. For example, for a heating film that needs to achieve a specific temperature rise rate, the system calculates the corresponding PWM duty ratio and voltage adjustment range, and generates a complete set of heating control parameters including start-up voltage, working voltage, protection voltage, control frequency, etc.

[0084] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0085] In a second aspect, the present application provides a battery pack heat preservation and heating control device. The battery pack heat preservation and heating control device of the present application will be described below in combination with the above-mentioned battery pack heat preservation and heating control method.

[0086] Reference Figure 6 A battery pack heat preservation and heating control device is applied to a heating film system with multiple independently controllable heating areas. The heating film system is arranged in a bag-shaped heat preservation and heating sleeve, and the heat preservation and heating sleeve includes a heat insulation layer. The device includes: A temperature data acquisition module for acquiring temperature data of the battery pack; A temperature state evaluation module for analyzing the temperature state of the battery pack according to the temperature data to obtain a temperature state evaluation result; A control parameter acquisition module for partitioning the battery pack according to the temperature state evaluation result, performing directional heating analysis on the local area with abnormal temperature state, and obtaining corresponding heating control parameters; An output power adjustment module for adjusting the heating power of the local area according to the heating control parameters, generating and sending a heating control signal to the heating controller according to the adjusted heating power, so that the heating controller adjusts the output power of each area heating film according to the heating control signal.

[0087] In one embodiment, the present application provides an electronic device, which can be a server, and its internal structure diagram can be as shown in Figure 7As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium, 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 operating system and the computer program in the non-volatile storage medium to run. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement a battery pack heat preservation heating control method.

[0088] Those skilled in the art can understand that, Figure 7 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0089] In one embodiment, an electronic device is also provided, including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps in the above method embodiments.

[0090] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The above-mentioned 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 above-mentioned embodiments. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not as a limitation, RAM can be in various forms such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0091] The above are the preferred embodiments of the present application, which do not limit the protection scope of the present application, therefore: any equivalent changes made on the structure, shape, principle of the present application shall be covered within the protection scope of the present application.

Claims

1. A method for controlling the heat preservation and heating of a battery pack, characterized in that, A heating film system with multiple independently controllable heating zones is used, the heating film system being housed in a bag-shaped heat-insulating heating jacket, the heat-insulating heating jacket including a heat insulation layer, the method comprising the following steps: Obtain the temperature data of the battery pack; Based on the temperature data, the temperature status of the battery pack is analyzed to obtain the temperature status assessment results; Based on the temperature status assessment results, the battery pack is divided into zones for judgment, and targeted heating analysis is performed on local areas with abnormal temperature status to obtain the corresponding heating control parameters; The heating power of the local area is adjusted according to the heating control parameters, and a heating control signal is generated and sent to the heating controller according to the adjusted heating power, so that the heating controller adjusts the output power of the heating film in each area according to the heating control signal.

2. The battery pack heat preservation and heating control method according to claim 1, characterized in that, Based on the temperature data, the temperature state of the battery pack is analyzed to obtain a temperature state assessment result, which specifically includes the following steps: Based on the time series of the temperature data, calculate the temperature change trend and temperature fluctuation range for each sampling point; Based on the temperature change trend and temperature fluctuation range, calculate the dynamic deviation between each region and the target temperature; Based on the dynamic deviation, the degree of deviation between the current temperature state and the preset temperature range is analyzed to obtain the temperature anomaly level of the current sampling point.

3. The battery pack heat preservation and heating control method according to claim 2, characterized in that, After obtaining the temperature state assessment result, the method further includes: Based on the temperature fluctuation range and the dynamic deviation, the temperature stability index of each sampling point is calculated. The temperature stability index is obtained by weighted calculation based on the temperature change rate, temperature fluctuation frequency and temperature duration. Based on the temperature stability index and the temperature anomaly level, the temperature change risk level of each region is determined. Based on the temperature change risk level, calculate the predicted temperature of the battery pack within a preset time period in the future; When the predicted temperature is lower than the preset temperature threshold, a preheating control signal is sent to the heating controller.

4. The battery pack heat preservation and heating control method according to claim 1, characterized in that, Based on the temperature status assessment results, the battery pack is divided into zones for judgment, and targeted heating analysis is performed on local areas with abnormal temperature status to obtain the corresponding heating control parameters. The specific steps include the following: Based on the temperature status assessment results, the battery pack is divided into zones to determine the location and range of abnormal temperature areas; Based on the distribution of the temperature anomaly areas, calculate the temperature compensation requirements for each area. Based on the temperature compensation requirements and combined with real-time temperature data from adjacent areas, the required heating power for each abnormal area is determined. Based on the heating power, heating control parameters for the corresponding area of ​​the heating film are generated.

5. The battery pack heat preservation and heating control method according to claim 4, characterized in that, Based on the heating power, heating control parameters for the corresponding region of the heating film are generated, specifically including the following steps: Based on the priority level of temperature compensation and the safe temperature range of the battery pack, and combined with the thermal insulation performance of the heat insulation jacket, a corresponding reference heating rate is selected. The safe temperature range of the battery pack is determined according to the material characteristics, structural parameters and service life of the battery pack, and is adaptively updated with the number of charge and discharge cycles. The reference heating rate is dynamically adjusted in combination with the time constraint of temperature compensation requirements to obtain the preset heating rate. The time constraint is determined based on the temperature response characteristics of the battery pack, the thermal diffusion characteristics of the heat insulation jacket, and the temperature equalization requirements. Based on the preset heating rate, heating control parameters for the corresponding area heating film are generated.

6. The battery pack heat preservation and heating control method according to claim 1, characterized in that, The heat-insulating heating jacket has a bag-like design, is malleable and has a closed opening structure, and includes, from the outside to the inside, a waterproof layer, an outer foam layer, a heat insulation layer, a heating layer and an inner foam layer.

7. The battery pack heat preservation and heating control method according to claim 1, characterized in that, The heating control signal includes PWM modulation parameters, heating film voltage setting value, and heating duration parameters. The system generates a corresponding heating control signal based on the heating control parameters and sends it to the heating controller through a digital communication interface.

8. A battery pack heat preservation and heating control device, characterized in that, A heating film system with multiple independently controllable heating zones is provided, the heating film system being housed in a bag-shaped heat-insulating heating jacket, the heat-insulating heating jacket including a heat insulation layer, the device comprising: Temperature data acquisition module, used to acquire temperature data of the battery pack; The temperature status assessment module is used to analyze the temperature status of the battery pack based on the temperature data and obtain the temperature status assessment result. The control parameter acquisition module is used to divide the battery pack into zones based on the temperature state assessment results, perform targeted heating analysis on the local areas with abnormal temperature states, and obtain the corresponding heating control parameters. The output power adjustment module is used to adjust the heating power of the local area according to the heating control parameters, generate and send a heating control signal to the heating controller according to the adjusted heating power, so that the heating controller adjusts the output power of the heating film in each area according to the heating control signal.

9. An electronic device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the battery pack heat preservation and heating control method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the battery pack heat preservation and heating control method according to any one of claims 1-7.

Images