Sodium ion battery heat dissipation mode regulation and control method suitable for multiple scenes

Abstract

The invention relates to the technical field of sodium ion battery heat dissipation regulation and control, in particular to a sodium ion battery heat dissipation mode regulation and control method suitable for multiple scenes. According to the method, the corresponding temperature partition information is obtained by analyzing the battery working data, the heat dissipation mode setting information is obtained by analyzing the temperature partition information, the corresponding boundary buffer area can be obtained through the heat dissipation mode setting information, slow execution of heat dissipation mode switching can be performed at the critical point through the boundary buffer area, and the heat dissipation efficiency is improved. The situation that the system burden is increased due to sudden heat dissipation mode switching is avoided, and impact on the battery is reduced; according to the invention, the battery temperature data of the sodium ion battery is obtained, the local overheating abnormal information is obtained by analyzing the battery temperature data, the corresponding heat dissipation demand information is obtained by analyzing the local overheating abnormal information, and the local heating abnormity of the battery can be obtained according to the heat dissipation demand information. And a corresponding heat dissipation strategy is generated according to the local heating abnormity, so that the heat dissipation protection of the battery is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of sodium ion electric heat dissipation control, and in particular to a sodium ion battery heat dissipation mode control method applicable to multiple scenarios. Background Art

[0002] Sodium-ion battery is a new type of electrochemical energy storage device. In the energy field, it can store electrical energy in the form of chemical energy, and then convert chemical energy into electrical energy and release it when needed. The development of sodium-ion batteries helps to reduce dependence on traditional fossil energy and promote sustainable energy development. Its raw materials are relatively easy to obtain, and the environmental impact during production and use is relatively small. It is in line with the future trend of green energy development and plays an important role in building a low-carbon, environmentally friendly energy system.

[0003] During the operation of sodium-ion batteries, the electrochemical reactions inside the battery will generate heat. If this heat cannot be dissipated in time, the battery temperature will rise, and excessively high temperature will affect the performance of the battery, such as reducing the battery's charging and discharging efficiency and shortening the battery's service life.

[0004] The existing sodium-ion battery heat dissipation mode regulation detects the battery temperature through sensors and switches the heat dissipation mode according to the preset temperature boundary and working scenario. However, when the temperature is at the set temperature boundary, the heat dissipation mode will be frequently switched or cannot be switched in time. In addition, the sudden switching of the heat dissipation mode will increase the system burden and have an impact on the battery, affecting the stability and life of the battery. Summary of the invention

[0005] The present invention provides a sodium ion battery heat dissipation mode control method suitable for multiple scenarios, which is used to solve the above-mentioned technical problems.

[0006] The first aspect of the present invention provides a sodium ion battery heat dissipation mode control method applicable to multiple scenarios, comprising the following steps:

[0007] Step 1: Battery data collection, collect data on sodium-ion batteries to obtain battery temperature data and battery operating data; obtain battery operating data by collecting data information on sodium-ion batteries, and the battery operating data includes battery performance parameters, battery temperature history data and operating environment data; obtain battery temperature data by collecting the temperature of sodium-ion batteries through sensors, and the battery temperature data includes key part temperatures, internal resistance parameters and side reaction parameters.

[0008] Step 2: Temperature zone division and mode setting: obtain corresponding temperature zone information by analyzing the battery working data, and obtain heat dissipation mode setting information by analyzing the temperature zone information.

[0009] As a further improvement of the present invention, the battery operating data is analyzed, and the specific analysis steps are as follows:

[0010] A01: Obtain battery performance parameters, battery temperature history data and working environment data by identifying battery working data;

[0011] A02: Identify battery performance parameters to obtain charge and discharge efficiency, cycle life and self-discharge rate;

[0012] A21: The charge and discharge efficiency of the sodium ion battery is divided into a high efficiency interval, a stable efficiency interval and a low efficiency interval. Each efficiency interval corresponds to an efficiency state value. The corresponding charge and discharge efficiency of the sodium ion battery per unit time is obtained, and the charge and discharge efficiency of the sodium ion battery is matched with each efficiency interval to obtain the corresponding efficiency state value.

[0013] A22: Obtain a preset cycle life corresponding to the sodium ion battery, obtain the current usage time of the sodium ion battery, calculate the difference between the usage time corresponding to the sodium ion battery and the preset cycle life to obtain the remaining life, divide the remaining life into multiple remaining life intervals, set a remaining life impact value for each remaining life area, and match the remaining life corresponding to the current sodium ion battery with the multiple remaining life intervals to obtain the corresponding remaining life impact value.

[0014] A23: Obtain the self-discharge rate of the sodium-ion battery when it is idle, and obtain the pre-set self-discharge standard rate, compare the self-discharge rate corresponding to the current sodium-ion battery with the self-discharge standard rate, if the self-discharge rate is greater than the self-discharge standard rate, mark the portion of the self-discharge rate that is greater than the self-discharge standard rate as an abnormal discharge rate; abnormal self-discharge is often accompanied by intensified side reactions inside the battery, these side reactions will cause the structure of the battery electrode material to change and generate a large amount of heat. If the heat cannot be dissipated in time, the battery temperature will increase.

[0015] A24: A rhombus is constructed with the values ​​of the efficiency state value and the remaining life impact value as the two diagonals of the rhombus. A straight line perpendicular to the rhombus is drawn with the intersection of the two diagonals as the starting point. The length of the straight line is equal to the value of the abnormal discharge rate. A quadrangular pyramid is then constructed with the rhombus and the straight line. The volume of the quadrangular pyramid is calculated and the value of the volume is marked as the performance impact value, which is recorded as XN.

[0016] A03: Identify the battery temperature historical data to obtain the daily historical battery temperature of the sodium-ion battery, obtain the corresponding hourly historical temperature data based on the daily historical battery temperature, and obtain the historical daily temperature data curve based on the daily corresponding hourly historical temperature data, divide the historical temperature into multiple historical temperature intervals, obtain the analysis time corresponding to each historical temperature interval through the historical daily temperature data curve, overlap and match the historical daily temperature data curves corresponding to multiple dates to obtain the historical temperature intervals corresponding to the analysis time, obtain the historical temperature interval with the most repetitions, and use the corresponding historical temperature interval as the historical normal temperature corresponding to the analysis time, and record it as ctw.

[0017] A04: Identify the working environment data to obtain the ambient temperature and ambient wind speed; obtain the preset suitable ambient temperature, calculate the difference between the ambient temperature corresponding to the current sodium ion battery and the suitable ambient temperature to obtain the ambient temperature difference, and record it as hjw; divide the ambient wind speed into multiple ambient wind speed intervals, each ambient wind speed interval corresponds to an ambient wind shadow value, match the ambient wind speed corresponding to the current sodium ion with multiple ambient wind speed intervals to obtain the corresponding ambient wind shadow value, and record it as hjf.

[0018] A05: Normalize the performance impact value, historical normal temperature, ambient temperature difference value and ambient wind shadow value and take their values, and use the formula The temperature differentiation value TC is calculated; where xzw represents the current temperature at the time corresponding to the historical normal temperature; v1, v2, v3, and v4 are all preset weight factors, with values ​​of 5.314, 3.074, 4.014, and 3.286 respectively;

[0019] A06: The temperature differentiation value is divided into multiple differentiation value intervals, each differentiation value corresponds to a temperature partition level, the temperature differentiation value corresponding to the current sodium ion battery is matched with multiple differentiation value intervals to obtain the corresponding temperature differentiation level, and the temperature differentiation level is used as the temperature partition information of the sodium ion battery; the temperature differentiation level indicates the level of influence on the temperature, and the higher the temperature differentiation level, the greater the corresponding temperature generated.

[0020] As a further improvement of the present invention, the temperature partition information is analyzed, and the specific analysis steps are as follows:

[0021] The temperature partition information currently corresponding to the sodium ion battery is obtained, and the temperature differentiation level and the temperature differentiation value of the sodium ion battery are obtained according to the temperature partition information. The boundary points of adjacent temperature differentiation levels are obtained, and a pre-set boundary buffer zone is obtained. The differentiation value buffer segments corresponding to each adjacent temperature differentiation level are obtained according to the boundary buffer zone. The corresponding heat dissipation mode setting information is generated according to the position of the temperature differentiation value corresponding to the sodium ion battery. For example, the heat dissipation mode currently corresponding to the sodium ion battery is air cooling, and its corresponding temperature differentiation value rises to the differentiation value buffer segment of two temperature differentiation levels. The heat dissipation mode setting information is to steadily reduce the air cooling power and steadily increase the liquid cooling power.

[0022] Step 3: local overheating analysis and processing, obtaining the battery temperature data of the sodium ion battery and analyzing the battery temperature data to obtain local overheating abnormal information, and analyzing the local overheating abnormal information to obtain corresponding heat dissipation demand information.

[0023] As a further improvement of the present invention, the battery temperature data is analyzed, and the specific analysis steps are as follows:

[0024] S1: Obtain key part temperature, internal resistance parameters and side reaction parameters by identifying battery temperature data;

[0025] S2: Obtain the key part temperature corresponding to each key part of the sodium ion battery, obtain the pre-set operating standard temperature, when the key part temperature is greater than the operating standard temperature, mark the corresponding key part as an abnormal part, count the number of abnormal parts to obtain the number of abnormal parts, and calculate the ratio of the number of abnormal parts to the total number of key components to obtain the abnormal part ratio.

[0026] S3: Obtain the internal resistance parameters of the sodium ion battery and a preset internal resistance threshold, obtain the internal resistance value of each part of the battery according to the internal resistance parameters, obtain the internal resistance value of each part of the battery at multiple detection time points within a unit time, compare the internal resistance value corresponding to each detection time point with the internal resistance threshold, and when the internal resistance value is greater than the internal resistance threshold, mark the part of the internal resistance value that exceeds the internal resistance threshold as the internal resistance influence value, and calculate and sum the internal resistance influence values ​​at each detection time point to obtain the total internal resistance influence value.

[0027] S4: Obtain the number of side reactions occurring per unit time according to the side reaction parameters of the sodium ion battery, and record the occurrence duration of each side reaction, obtain a preset reaction duration threshold, mark the side reaction whose occurrence duration exceeds the reaction duration threshold as an abnormal side reaction, count the number of abnormal side reactions and record it as the abnormal side reaction number, and calculate the ratio of the abnormal side reaction number to the number of side reactions to obtain the abnormal side reaction ratio.

[0028] S5: Construct two equilateral triangles with the values ​​of the abnormal site ratio and the total internal resistance as the sides of the equilateral triangle. The two equilateral triangles are parallel and the two centers of gravity are on the same center line. Use the centers of gravity of the two equilateral triangles as the starting point and the end point to draw a straight line perpendicular to the two equilateral triangles. The length of the straight line is equal to the value of the abnormal side reaction ratio. Then construct a prism with the two equilateral triangles and the straight line. Calculate the volume of the prism and mark the value of the volume as the local outlier.

[0029] S6: When the local abnormal value is greater than a preset threshold, the corresponding part of the sodium ion battery is marked as a local abnormal part, and the corresponding local abnormal part is used as the corresponding local overheating abnormal information.

[0030] As a further improvement of the present invention, the local overheating abnormal information is analyzed, and the specific analysis steps are as follows:

[0031] The local overheating abnormal information of the sodium ion battery is identified to obtain the corresponding local abnormal part, the position information of the local abnormal part is obtained, and the corresponding heat dissipation demand information is generated for the corresponding position information to indicate that the local heat dissipation demand increases.

[0032] Step 4: heat dissipation mode identification and execution, which specifically includes: obtaining heat dissipation mode setting information and heat dissipation requirement information, performing corresponding heat dissipation execution according to the heat dissipation mode setting information, and performing local heat dissipation enhancement execution according to the heat dissipation requirement information.

[0033] Step 5: Perform heat dissipation feedback evaluation based on the temperature after heat dissipation. The specific analysis method is that when the temperature rises, a corresponding feedback evaluation is generated as heat dissipation out of control information; when the temperature drops, the corresponding heat change value after the heat dissipation is executed is obtained, and the pre-set expected minimum temperature drop value is obtained. When the heat change value is less than the expected minimum temperature drop value, a corresponding feedback evaluation is generated as heat dissipation mismatch information.

[0034] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0035] 1. The present invention obtains corresponding temperature partition information by analyzing battery working data, and obtains heat dissipation mode setting information by analyzing the temperature partition information. The corresponding boundary buffer can be obtained through the heat dissipation mode setting information. The heat dissipation mode switching can be slowly executed at the critical point through the boundary buffer, so as to avoid sudden heat dissipation mode switching to increase the system burden and reduce the impact on the battery.

[0036] 2. The present invention obtains battery temperature data of the sodium ion battery, and obtains local overheating abnormality information by analyzing the battery temperature data, and obtains corresponding heat dissipation demand information by analyzing the local overheating abnormality information. According to the heat dissipation demand information, the local heating abnormality of the battery can be obtained, and a corresponding heat dissipation strategy is generated according to the local heating abnormality to optimize the heat dissipation protection of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0038] Figure 1 is a flow chart of the method of the present invention;

[0039] Figure 2 It is a schematic diagram of the historical daily temperature data curve of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1-2 In an embodiment of the present invention, an embodiment of a sodium ion battery heat dissipation mode control method applicable to multiple scenarios includes the following steps:

[0042] Step 1: Battery data collection, collect data on sodium-ion batteries to obtain battery temperature data and battery operating data; obtain battery operating data by collecting data information on sodium-ion batteries, and the battery operating data includes battery performance parameters, battery temperature history data and operating environment data; obtain battery temperature data by collecting the temperature of sodium-ion batteries through sensors, and the battery temperature data includes key part temperatures, internal resistance parameters and side reaction parameters.

[0043] Step 2: Temperature zone division and mode setting: obtain corresponding temperature zone information by analyzing the battery working data, and obtain heat dissipation mode setting information by analyzing the temperature zone information.

[0044] The specific analysis steps for analyzing the battery working data are as follows:

[0045] A01: Obtain battery performance parameters, battery temperature history data and working environment data by identifying battery working data;

[0046] A02: Identify battery performance parameters to obtain charge and discharge efficiency, cycle life and self-discharge rate;

[0047] A21: The charge and discharge efficiency of the sodium ion battery is divided into a high efficiency interval, a stable efficiency interval and a low efficiency interval. Each efficiency interval corresponds to an efficiency state value. The corresponding charge and discharge efficiency of the sodium ion battery per unit time is obtained, and the charge and discharge efficiency of the sodium ion battery is matched with each efficiency interval to obtain the corresponding efficiency state value.

[0048] A22: Obtain a preset cycle life corresponding to the sodium ion battery, obtain the current usage time of the sodium ion battery, calculate the difference between the usage time corresponding to the sodium ion battery and the preset cycle life to obtain the remaining life, divide the remaining life into multiple remaining life intervals, set a remaining life impact value for each remaining life area, and match the remaining life corresponding to the current sodium ion battery with the multiple remaining life intervals to obtain the corresponding remaining life impact value.

[0049] A23: Obtain the self-discharge rate of the sodium-ion battery when it is idle, and obtain the pre-set self-discharge standard rate, compare the self-discharge rate corresponding to the current sodium-ion battery with the self-discharge standard rate, if the self-discharge rate is greater than the self-discharge standard rate, mark the portion of the self-discharge rate that is greater than the self-discharge standard rate as an abnormal discharge rate; abnormal self-discharge is often accompanied by intensified side reactions inside the battery, these side reactions will cause the structure of the battery electrode material to change and generate a large amount of heat. If the heat cannot be dissipated in time, the battery temperature will increase.

[0050] A24: A rhombus is constructed with the values ​​of the efficiency state value and the remaining life impact value as the two diagonals of the rhombus. A straight line perpendicular to the rhombus is drawn with the intersection of the two diagonals as the starting point. The length of the straight line is equal to the value of the abnormal discharge rate. A quadrangular pyramid is then constructed with the rhombus and the straight line. The volume of the quadrangular pyramid is calculated and the value of the volume is marked as the performance impact value.

[0051] A03: Identify the battery temperature historical data to obtain the daily historical battery temperature of the sodium-ion battery, obtain the corresponding hourly historical temperature data based on the daily historical battery temperature, and obtain the historical daily temperature data curve based on the daily corresponding hourly historical temperature data, divide the historical temperature into multiple historical temperature intervals, obtain the analysis time corresponding to each historical temperature interval through the historical daily temperature data curve, overlap and match the historical daily temperature data curves corresponding to multiple dates to obtain the historical temperature intervals corresponding to the analysis time, obtain the historical temperature interval with the most repetitions, and use the corresponding historical temperature interval as the historical normal temperature corresponding to the analysis time.

[0052] A04: Identify the working environment data to obtain the ambient temperature and ambient wind speed; obtain the preset suitable ambient temperature, calculate the difference between the ambient temperature corresponding to the current sodium ion battery and the suitable ambient temperature to obtain the ambient temperature difference; divide the ambient wind speed into multiple ambient wind speed intervals, each ambient wind speed interval corresponds to an ambient wind shadow value, and match the ambient wind speed corresponding to the current sodium ion battery with multiple ambient wind speed intervals to obtain the corresponding ambient wind shadow value.

[0053] A05: Normalize the performance impact value, historical normal temperature, ambient temperature difference value and ambient wind shadow value and take their values, and use the formula The temperature differentiation value TC is calculated; among them, XN, hjw, hjf represent the performance impact value, the ambient temperature difference value and the ambient wind shadow value respectively, ctw and xzw represent the historical normal temperature and the corresponding current temperature respectively; v1, v2, v3, v4 are all preset weight factors, and the values ​​are 5.314, 3.074, 4.014, 3.286 respectively;

[0054] A06: The temperature differentiation value is divided into multiple differentiation value intervals, each differentiation value corresponds to a temperature partition level, the temperature differentiation value corresponding to the current sodium ion battery is matched with multiple differentiation value intervals to obtain the corresponding temperature differentiation level, and the temperature differentiation level is used as the temperature partition information of the sodium ion battery; the temperature differentiation level indicates the level of influence on the temperature, and the higher the temperature differentiation level, the greater the corresponding temperature generated.

[0055] The temperature partition information is analyzed, and the specific analysis steps are as follows:

[0056] The temperature partition information currently corresponding to the sodium ion battery is obtained, and the temperature differentiation level and the temperature differentiation value of the sodium ion battery are obtained according to the temperature partition information. The boundary points of adjacent temperature differentiation levels are obtained, and a pre-set boundary buffer zone is obtained. The differentiation value buffer segments corresponding to each adjacent temperature differentiation level are obtained according to the boundary buffer zone. The corresponding heat dissipation mode setting information is generated according to the position of the temperature differentiation value corresponding to the sodium ion battery. For example, the heat dissipation mode currently corresponding to the sodium ion battery is air cooling, and its corresponding temperature differentiation value rises to the differentiation value buffer segment of two temperature differentiation levels. The heat dissipation mode setting information is to steadily reduce the air cooling power and steadily increase the liquid cooling power.

[0057] Step 3: local overheating analysis and processing, obtaining the battery temperature data of the sodium ion battery and analyzing the battery temperature data to obtain local overheating abnormal information, and analyzing the local overheating abnormal information to obtain corresponding heat dissipation demand information.

[0058] The battery temperature data is analyzed, and the specific analysis steps are as follows:

[0059] S1: Obtain key part temperature, internal resistance parameters and side reaction parameters by identifying battery temperature data;

[0060] S2: Obtain the key part temperature corresponding to each key part of the sodium ion battery, obtain the pre-set operating standard temperature, when the key part temperature is greater than the operating standard temperature, mark the corresponding key part as an abnormal part, count the number of abnormal parts to obtain the number of abnormal parts, and calculate the ratio of the number of abnormal parts to the total number of key components to obtain the abnormal part ratio.

[0061] S3: Obtain the internal resistance parameters of the sodium ion battery and a preset internal resistance threshold, obtain the internal resistance value of each part of the battery according to the internal resistance parameters, obtain the internal resistance value of each part of the battery at multiple detection time points within a unit time, compare the internal resistance value corresponding to each detection time point with the internal resistance threshold, and when the internal resistance value is greater than the internal resistance threshold, mark the part of the internal resistance value that exceeds the internal resistance threshold as the internal resistance influence value, and calculate and sum the internal resistance influence values ​​at each detection time point to obtain the total internal resistance influence value.

[0062] S4: Obtain the number of side reactions occurring per unit time according to the side reaction parameters of the sodium ion battery, and record the occurrence duration of each side reaction, obtain a preset reaction duration threshold, mark the side reaction whose occurrence duration exceeds the reaction duration threshold as an abnormal side reaction, count the number of abnormal side reactions and record it as the abnormal side reaction number, and calculate the ratio of the abnormal side reaction number to the number of side reactions to obtain the abnormal side reaction ratio.

[0063] S5: Construct two equilateral triangles with the values ​​of the abnormal site ratio and the total internal resistance as the sides of the equilateral triangle. The two equilateral triangles are parallel and the two centers of gravity are on the same center line. Use the centers of gravity of the two equilateral triangles as the starting point and the end point to draw a straight line perpendicular to the two equilateral triangles. The length of the straight line is equal to the value of the abnormal side reaction ratio. Then construct a prism with the two equilateral triangles and the straight line. Calculate the volume of the prism and mark the value of the volume as the local outlier.

[0064] S6: When the local abnormal value is greater than a preset threshold, the corresponding part of the sodium ion battery is marked as a local abnormal part, and the corresponding local abnormal part is used as the corresponding local overheating abnormal information.

[0065] Analyze the local overheating abnormal information, and the specific analysis steps are as follows:

[0066] The local overheating abnormal information of the sodium ion battery is identified to obtain the corresponding local abnormal part, the position information of the local abnormal part is obtained, and the corresponding heat dissipation demand information is generated for the corresponding position information to indicate that the local heat dissipation demand increases.

[0067] Step 4: heat dissipation mode identification and execution, obtaining heat dissipation mode setting information and heat dissipation demand information, performing corresponding heat dissipation execution according to the heat dissipation mode setting information, and performing local heat dissipation enhancement execution according to the heat spreading demand information.

[0068] Step 5: Heat dissipation feedback evaluation, perform heat dissipation feedback evaluation based on the temperature after heat dissipation; when the temperature rises, generate a corresponding feedback evaluation as heat dissipation out of control information; when the temperature drops, obtain the corresponding heat change value after the heat dissipation is executed, and obtain the pre-set expected minimum temperature drop value. When the heat change value is less than the expected minimum temperature drop value, generate a corresponding feedback evaluation as heat dissipation mismatch information.

[0069] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A sodium ion battery heat dissipation mode control method suitable for multiple scenarios, characterized in that: The steps include: Step 1: Collect data on the sodium ion battery to obtain battery temperature data and battery operating data; Step 2: Analyze the battery working data to obtain corresponding temperature partition information, and analyze the temperature partition information to obtain heat dissipation mode setting information; Step 3: Obtain battery temperature data of the sodium ion battery and analyze the battery temperature data to obtain local overheating abnormal information, and analyze the local overheating abnormal information to obtain corresponding heat dissipation demand information; Step 4: Heat dissipation pattern identification and execution; Step 5: Perform heat dissipation feedback evaluation based on the temperature after heat dissipation.

2. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1 is characterized in that: The data collection of the sodium ion battery to obtain the battery temperature data and the battery operating data is specifically as follows: the battery operating data is obtained by collecting data information of the sodium ion battery, and the battery operating data includes battery performance parameters, battery temperature history data and working environment data; the battery temperature data is obtained by collecting the temperature of the sodium ion battery through a sensor, and the battery temperature data includes key part temperature, internal resistance parameters and side reaction parameters.

3. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1 is characterized in that: The specific analysis steps for analyzing the battery working data are as follows: A01: Obtain battery performance parameters, battery temperature history data and working environment data by identifying battery working data; A02: Identify battery performance parameters to obtain charge and discharge efficiency, cycle life and self-discharge rate, and conduct a comprehensive analysis of the charge and discharge efficiency, cycle life and self-discharge rate to obtain the performance impact value; A03: Identify the battery temperature historical data to obtain the daily historical battery temperature of the sodium-ion battery, obtain the corresponding hourly historical temperature data based on the daily historical battery temperature, and obtain the historical daily temperature data curve based on the daily corresponding hourly historical temperature data, divide the historical temperature into multiple historical temperature intervals, obtain the analysis time corresponding to each historical temperature interval through the historical daily temperature data curve, overlap and match the historical daily temperature data curves corresponding to multiple dates to obtain the historical temperature intervals corresponding to the analysis time, obtain the historical temperature interval with the most repetitions, and use the corresponding historical temperature interval as the historical normal temperature corresponding to the analysis time. A04: Identify the working environment data to obtain the ambient temperature and ambient wind speed; obtain the preset suitable ambient temperature, calculate the difference between the ambient temperature corresponding to the current sodium ion battery and the suitable ambient temperature to obtain the ambient temperature difference; divide the ambient wind speed into multiple ambient wind speed intervals, each ambient wind speed interval corresponds to an ambient wind shadow value, match the ambient wind speed corresponding to the current sodium ion with multiple ambient wind speed intervals to obtain the corresponding ambient wind shadow value; A05: The temperature differentiation value is obtained by comprehensively calculating the performance impact value, historical normal temperature, ambient temperature difference value and ambient wind shadow value; A06: The temperature differentiation value is divided into multiple differentiation value intervals, each differentiation value corresponds to a temperature partition level, the temperature differentiation value corresponding to the current sodium ion battery is matched with the multiple differentiation value intervals to obtain the corresponding temperature differentiation level, and the temperature differentiation level is used as the temperature partition information of the sodium ion battery.

4. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 3 is characterized in that: The comprehensive analysis of the charge and discharge efficiency, cycle life and self-discharge rate is carried out, and the specific analysis steps are as follows: A21: The charge and discharge efficiency of the sodium ion battery is divided into a high efficiency interval, a stable efficiency interval and a low efficiency interval. Each efficiency interval corresponds to an efficiency state value. The charge and discharge efficiency of the sodium ion battery per unit time is obtained. The charge and discharge efficiency of the sodium ion battery is matched with each efficiency interval to obtain the corresponding efficiency state value. A22: Obtain a preset cycle life corresponding to the sodium ion battery, obtain the usage time of the current sodium ion battery, calculate the difference between the usage time corresponding to the sodium ion battery and the preset cycle life to obtain the remaining life, divide the remaining life into multiple remaining life intervals, set a remaining life impact value for each remaining life interval, match the remaining life corresponding to the current sodium ion battery with the multiple remaining life intervals to obtain the corresponding remaining life impact value; A23: Obtain the self-discharge rate of the sodium-ion battery when it is idle, and obtain a preset self-discharge standard rate, compare the self-discharge rate corresponding to the current sodium-ion battery with the self-discharge standard rate, and if the self-discharge rate is greater than the self-discharge standard rate, mark the portion of the self-discharge rate greater than the self-discharge standard rate as an abnormal discharge rate; A24: A rhombus is constructed with the values ​​of the efficiency state value and the remaining life impact value as the two diagonals of the rhombus. A straight line perpendicular to the rhombus is drawn with the intersection of the two diagonals as the starting point. The length of the straight line is equal to the value of the abnormal discharge rate. A quadrangular pyramid is then constructed with the rhombus and the straight line. The volume of the quadrangular pyramid is calculated and the value of the volume is marked as the performance impact value.

5. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 4 is characterized in that: The performance impact value, historical normal temperature, ambient temperature difference value and ambient wind shadow value are comprehensively calculated, and the specific calculation method is as follows: The performance impact value, historical normal temperature, ambient temperature difference value and ambient wind shadow value are normalized and their values ​​are taken. The formula is used The temperature differentiation value TC is calculated; wherein, XN, hjw, hjf represent the performance impact value, the ambient temperature difference value and the ambient wind shadow value respectively, ctw and xzw represent the historical normal temperature and the corresponding current temperature respectively; v1, v2, v3, v4 are all preset weight factors.

6. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1 is characterized in that: The temperature partition information is analyzed, which specifically includes: obtaining the temperature partition information currently corresponding to the sodium ion battery, obtaining the temperature differentiation level and the temperature differentiation value of the sodium ion battery according to the temperature partition information, obtaining the boundary points of adjacent temperature differentiation levels, and obtaining a pre-set boundary buffer zone, obtaining the differentiation value buffer segments corresponding to each adjacent temperature differentiation level according to the boundary buffer zone, and generating corresponding heat dissipation mode setting information according to the position of the temperature differentiation value corresponding to the sodium ion battery.

7. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1 is characterized in that: The specific analysis steps for analyzing the battery temperature data are as follows: S1: Obtain key part temperature, internal resistance parameters and side reaction parameters by identifying battery temperature data; S2: Obtain the key part temperature corresponding to each key part of the sodium ion battery, obtain the preset operating standard temperature, and when the key part temperature is greater than the operating standard temperature, mark the corresponding key part as an abnormal part, count the number of abnormal parts to obtain the number of abnormal parts, and calculate the ratio of the number of abnormal parts to the total number of key components to obtain the abnormal part ratio; S3: Obtaining the internal resistance parameter of the sodium ion battery and a preset internal resistance threshold, obtaining the internal resistance value of each part of the battery according to the internal resistance parameter, obtaining the internal resistance value of each part of the battery at a plurality of detection time points within a unit time, comparing the internal resistance value corresponding to each detection time point with the internal resistance threshold, and when the internal resistance value is greater than the internal resistance threshold, marking the part of the internal resistance value exceeding the internal resistance threshold as the internal resistance influence value, and calculating and summing the internal resistance influence values ​​at each detection time point to obtain the total internal resistance influence value; S4: obtaining the number of side reactions occurring per unit time according to the side reaction parameters of the sodium ion battery, and recording the occurrence time corresponding to each side reaction, obtaining a preset reaction time threshold, marking the side reaction whose occurrence time exceeds the reaction time threshold as an abnormal side reaction, counting the number of abnormal side reactions and recording it as the abnormal side reaction number, and calculating the ratio of the abnormal side reaction number to the number of side reactions to obtain the abnormal side reaction ratio; S5: Use the values ​​of the abnormal part ratio and the total internal resistance as the sides of the equilateral triangle to construct two equilateral triangles. The two equilateral triangles are parallel and the two centers of gravity are on the same center line. Use the centers of gravity of the two equilateral triangles as the starting point and the end point to draw a straight line perpendicular to the two equilateral triangles. The length of the straight line is equal to the abnormal side reaction ratio. Then use the two equilateral triangles and the straight line to construct a prism. Calculate the volume of the prism and mark the value of the volume as the local abnormal value. S6: When the local abnormal value is greater than a preset threshold, the corresponding part of the sodium ion battery is marked as a local abnormal part, and the corresponding local abnormal part is used as the corresponding local overheating abnormal information.

8. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1 is characterized in that: The analysis of the local overheating abnormal information is specifically as follows: identifying the local overheating abnormal information of the sodium ion battery to obtain the corresponding local abnormal part, obtaining the position information of the local abnormal part, and generating corresponding heat dissipation demand information for the corresponding position information to indicate that the local heat dissipation demand increases.

9. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1, characterized in that: The heat dissipation mode identification and execution specifically includes: obtaining heat dissipation mode setting information and heat dissipation requirement information, performing corresponding heat dissipation execution according to the heat dissipation mode setting information, and performing local heat dissipation enhancement execution according to the heat dissipation requirement information.

10. The sodium ion battery heat dissipation mode control method applicable to multiple scenarios according to claim 1, characterized in that: The heat dissipation feedback evaluation is performed according to the temperature after heat dissipation, which is specifically: When the temperature rises, a corresponding feedback evaluation is generated as heat dissipation out of control information; when the temperature drops, the corresponding heat change value after the heat dissipation is executed is obtained, and the pre-set expected minimum temperature drop value is obtained. When the heat change value is less than the expected minimum temperature drop value, a corresponding feedback evaluation is generated as heat dissipation mismatch information.

Images