Battery thermal management method and system

Abstract

The invention discloses a battery thermal management method and system, and the method comprises the steps: obtaining and analyzing a first thermal imaging image of the surface of a battery, and determining the heat characteristics of the surface of the battery; determining the temperature grade of the battery surface based on the heat characteristics, and setting refrigeration working conditions according to the temperature grade; the battery is cooled according to the refrigeration working condition, and a second thermal imaging image of the surface of the cooled battery is obtained; comparing and analyzing the first thermal imaging image and the second thermal imaging image of the surface of the battery, determining the heat change characteristics of the surface of the battery, and evaluating and calculating the cooling effect according to the heat change characteristics; and an adjustment coefficient is determined according to the evaluation result, and the refrigeration working condition is adjusted according to the adjustment coefficient. According to the invention, the first thermal imaging image and the second thermal imaging image are compared to evaluate the cooling effect, and the influence of the refrigeration working condition on the battery temperature is determined, so that intelligent adjustment can be carried out according to the actual battery temperature, the accurate control of the battery temperature is improved, and the waste of energy is reduced.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a battery thermal management method and system. Background Art

[0002] With the rapid development of electric vehicles, portable devices and renewable energy, battery technology as the core technology of energy storage has attracted increasing attention. However, batteries generate heat during use and charging, and excessively high temperatures have a negative impact on battery safety and performance. Therefore, battery thermal management technology has become a crucial part of battery system design.

[0003] However, traditional battery thermal management methods often rely on fixed temperature sensors and simple control algorithms, and have limited response capabilities to complex operating conditions and dynamic temperature changes, making it difficult to achieve precise control of battery temperature. Traditional cooling systems usually use a constant power cooling method, which may waste energy most of the time and cannot be intelligently adjusted according to the actual battery temperature, resulting in low energy efficiency. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a battery thermal management method and system, including:

[0005] Acquire a first thermal imaging image of the battery surface, and analyze the first thermal imaging image to determine thermal characteristics of the battery surface;

[0006] Determine the temperature level of the battery surface based on the thermal characteristics of the battery surface, and set the cooling working conditions according to the temperature level of the battery surface;

[0007] Cooling the battery according to the refrigeration working condition, and acquiring a second thermal imaging image of the battery surface after the cooling process;

[0008] Comparing and analyzing the first thermal imaging image and the second thermal imaging image of the battery surface, determining the heat change characteristics of the battery surface, and evaluating and calculating the cooling effect according to the heat change characteristics;

[0009] The adjustment factor is determined based on the evaluation results, and the refrigeration working conditions are adjusted based on the adjustment factor.

[0010] Furthermore, the acquiring of a first thermal imaging image of the battery surface and analyzing the first thermal imaging image to determine the thermal characteristics of the battery surface includes:

[0011] Acquire a first thermal imaging image of the battery surface, and grayscale process the first thermal imaging image to obtain a first grayscale image;

[0012] Obtaining grayscale values ​​of all pixels of the first grayscale image, and segmenting the first grayscale image into a plurality of regions according to a threshold segmentation method;

[0013] Calculate the average grayscale value of all pixels in each area, and determine the area whose average grayscale value is greater than a preset first average value as a first high temperature area;

[0014] The area and gray value average of each first high temperature region and the number of first high temperature regions are determined, and the area and gray value average of each first high temperature region and the number of first high temperature regions are determined as thermal characteristics of the battery surface.

[0015] Further, determining the temperature level of the battery surface based on the thermal characteristics of the battery surface includes:

[0016] The area, number and gray value average of each first high temperature region are obtained, and the temperature level of the battery surface is calculated based on the area, number and gray value average of each first high temperature region. The calculation formula of the temperature level of the battery surface is:

[0017]

[0018] Among them, L is the temperature level of the battery surface, R is the preset basic level, X is the area coefficient of the first high temperature area, Si is the area of ​​the i-th first high temperature area, Y is the gray value average coefficient of the first high temperature area, Pi is the gray value average of the i-th first high temperature area, and n is the number of first high temperature areas.

[0019] Furthermore, the step of setting the cooling working conditions according to the temperature level of the battery surface includes:

[0020] A standard temperature level S0 is preset, a temperature level △S of the battery surface is obtained, and a first preset difference S1, a second preset difference S2, a third preset difference S3 and a fourth preset difference S4 are set, and S1<S2<S3<S4, and a first preset working condition matrix A1(a1, b1), a second preset working condition matrix A2(a2, b2), a third preset working condition matrix A3(a3, b3) and a fourth preset working condition matrix A4(a4, b4) are preset, wherein a1-a4 are the first to fourth pre-cooling powers respectively, and a1<a2<a3<a4, b1-b4 are the first to fourth cooling time respectively, and b1<b2<b3<b4;

[0021] According to the difference between the temperature level △S of the battery surface and the standard temperature level S0, the preset working condition matrix Ai is set as the cooling working condition;

[0022] When △S-S0≤S1, the first preset working condition matrix A1 is set as the cooling working condition;

[0023] When S1<△S-S0≤S2, the second preset working condition matrix A2 is set as the cooling working condition;

[0024] When S2<△S-S0≤S3, the third preset working condition matrix A3 is set as the cooling working condition;

[0025] When S3<ΔS-S0≤S4, the fourth preset working condition matrix A4 is set as the cooling working condition.

[0026] Furthermore, comparing and analyzing the first thermal imaging image and the second thermal imaging image of the battery surface to determine the heat change characteristics of the battery surface includes:

[0027] Acquire the first high temperature region and the area of ​​each first high temperature region and the number of first high temperature regions in the first thermal imaging image of the battery surface, and calculate the sum of the areas of all first high temperature regions in the first thermal imaging image to obtain a first total area;

[0028] Performing grayscale processing on the second thermal imaging image, and determining grayscale values ​​of all pixels of the second thermal imaging image;

[0029] The second thermal imaging image is divided into a plurality of regions according to a threshold segmentation method, the gray value average of all pixels in each region is calculated, and the region whose gray value average is greater than a preset second average is determined as a second high temperature region;

[0030] determining the area of ​​each second high temperature region and the number of the second high temperature regions in the second thermal imaging image, and calculating the sum of the areas of all the second high temperature regions in the second thermal imaging image to obtain a second total area;

[0031] Calculating a difference between a first total area of ​​the first high temperature region and a second total area of ​​the second high temperature region to obtain an area difference, and calculating a difference between the number of the first high temperature region and the number of the second high temperature region to obtain a number difference;

[0032] The area difference and quantity difference between the first thermal imaging image and the second thermal imaging image are used as the heat change characteristics of the battery surface.

[0033] Furthermore, the evaluation and calculation of the cooling effect according to the heat change characteristics includes:

[0034] Acquire an area difference and a quantity difference between the first thermal imaging image and the second thermal imaging image, and respectively evaluate and calculate the area difference and the quantity difference to obtain an area difference evaluation value and a quantity difference evaluation value;

[0035] The cooling effect evaluation value is determined based on the area difference evaluation value and the quantity difference evaluation value. The calculation formula for the cooling effect evaluation value is:

[0036] W = α * A + β * B,

[0037] Among them, W is the cooling effect evaluation value, α is the preset weight of the area difference evaluation value, A is the area difference evaluation value, β is the preset weight of the quantity difference evaluation value, and B is the quantity difference evaluation value.

[0038] Further, determining the adjustment coefficient according to the evaluation result, and adjusting the refrigeration working conditions according to the adjustment coefficient, includes:

[0039] The corresponding relationship between the adjustment coefficient and the cooling effect evaluation value interval is preset, and the corresponding relationship between the adjustment coefficient and the cooling effect evaluation value interval is associated with a corresponding adjustment coefficient for each cooling effect evaluation value interval;

[0040] Acquire a cooling effect evaluation value, and based on a mapping relationship between a cooling effect evaluation value interval to which the cooling effect evaluation value belongs and an adjustment coefficient corresponding to the cooling effect evaluation value interval, select an adjustment coefficient corresponding to the cooling effect evaluation value interval;

[0041] The cooling power and cooling time in the cooling working condition are adjusted according to the adjustment coefficient, and the battery is cooled according to the adjusted cooling working condition.

[0042] The present invention also provides a battery thermal management system, comprising:

[0043] An analysis module, used to obtain a first thermal imaging image of the battery surface, and analyze the first thermal imaging image to determine the thermal characteristics of the battery surface;

[0044] A setting module, used to determine the temperature level of the battery surface based on the thermal characteristics of the battery surface, and set the cooling working conditions according to the temperature level of the battery surface;

[0045] A cooling module, used to cool the battery according to the cooling working conditions and obtain a second thermal imaging image of the battery surface after the cooling treatment;

[0046] A comparison module, used for comparing and analyzing the first thermal imaging image of the battery surface with the second thermal imaging image, determining the heat change characteristics of the battery surface, and evaluating and calculating the cooling effect according to the heat change characteristics;

[0047] The adjustment module is used to determine the adjustment coefficient according to the evaluation result, and adjust the refrigeration working conditions according to the adjustment coefficient.

[0048] Compared with the prior art, the battery thermal management method and system according to the embodiment of the present invention have the following beneficial effects:

[0049] The present invention can determine the temperature distribution, hot spot areas and other characteristics of the battery surface through the analysis of the first thermal imaging image, so as to understand the heat distribution of the battery surface;

[0050] The present invention can set the temperature level of the battery surface according to the thermal characteristics of the battery surface, and determine the appropriate cooling working conditions based on this to ensure that the battery operates within a safe temperature range;

[0051] By comparing and analyzing the first and second thermal imaging images, the present invention can evaluate the effect of the cooling treatment and understand the influence of the refrigeration working conditions on the battery temperature, so as to perform further optimization and adjustment;

[0052] The present invention determines the adjustment coefficient according to the evaluation result and adjusts the refrigeration working conditions, thereby improving the precise control of the battery temperature, so as to further improve the temperature management effect of the battery and the energy efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 is a schematic diagram of the process structure of a battery thermal management method in an embodiment of the present invention;

[0054] Figure 2 Schematic diagram of the composition of a battery thermal management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0056] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0057] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying a relative degree of importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0058] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technical personnel in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0059] like Figure 1 As shown, in an embodiment of the present application, a battery thermal management method is provided, including: S100: acquiring a first thermal imaging image of a battery surface, and analyzing the first thermal imaging image to determine the thermal characteristics of the battery surface; S200: determining the temperature level of the battery surface based on the thermal characteristics of the battery surface, and setting a refrigeration working condition according to the temperature level of the battery surface; S300: cooling the battery according to the refrigeration working condition, and acquiring a second thermal imaging image of the battery surface after the cooling process; S400: comparing and analyzing the first thermal imaging image of the battery surface with the second thermal imaging image to determine the thermal change characteristics of the battery surface, and evaluating and calculating the cooling effect according to the thermal change characteristics; S500: determining an adjustment coefficient according to the evaluation result, and adjusting the refrigeration working condition according to the adjustment coefficient.

[0060] Furthermore, the present invention can determine the temperature distribution, hot spot areas and other characteristics of the battery surface through analysis of the first thermal imaging image, so as to understand the heat distribution of the battery surface; the present invention can set the temperature level of the battery surface according to the thermal characteristics of the battery surface, and determine appropriate refrigeration working conditions based on this to ensure that the battery operates within a safe temperature range; the present invention can evaluate the effect of the cooling treatment by comparing and analyzing the first and second thermal imaging images, understand the impact of the refrigeration working conditions on the battery temperature, and thus perform further optimization and adjustment; the present invention determines the adjustment coefficient based on the evaluation results, and adjusts the refrigeration working conditions, thereby improving the precise control of the battery temperature, so as to further improve the temperature management effect of the battery and the energy efficiency of the system.

[0061] In an embodiment of the present application, a battery thermal management method is provided, wherein a first thermal imaging image of a battery surface is acquired, and the first thermal imaging image is analyzed to determine the thermal characteristics of the battery surface, including: acquiring a first thermal imaging image of the battery surface, and grayscale processing the first thermal imaging image to obtain a first grayscale image; acquiring grayscale values ​​of all pixels of the first grayscale image, and segmenting the first grayscale image into a plurality of regions according to a threshold segmentation method; calculating the average grayscale value of all pixels of each region, and determining a region whose average grayscale value is greater than a preset first average as a first high temperature region; determining the area and average grayscale value of each first high temperature region and the number of first high temperature regions, and determining the area and average grayscale value of each first high temperature region and the number of first high temperature regions as the thermal characteristics of the battery surface.

[0062] Specifically, an infrared thermal imager or similar device is used to scan the battery surface to obtain a thermal imaging image of the battery surface. Thermal imaging technology can convert infrared radiation emitted by an object into a visible thermal imaging image, reflecting the temperature distribution of different parts; the first thermal imaging image is gray-processed to obtain a first gray-scale image. Gray-scale processing is the process of converting a color image into a gray-scale image. Through this step, more attention can be paid to the brightness information of the image while ignoring the color information; the gray-scale values ​​of all pixels of the first gray-scale image are obtained, and the first gray-scale image is segmented into several regions according to the threshold segmentation method. This step is the process of image segmentation. By setting the threshold, The image is segmented into different areas for subsequent analysis and processing; the grayscale value average of all pixels in each area is calculated, and the area with a grayscale value average greater than the preset first average is determined as the first high-temperature area. This step is to further analyze the segmented area to determine the high-temperature area, that is, the area with a higher battery surface temperature; determine the area and grayscale value average of each first high-temperature area and the number of first high-temperature areas, and determine these parameters as the thermal characteristics of the battery surface. The thermal characteristics of the battery surface are obtained by statistics on the area, average grayscale value and number of high-temperature areas, and then the temperature distribution and heat distribution of the battery surface are understood. This step can achieve quantitative analysis of the thermal characteristics of the battery surface, including the acquisition of parameters such as the area, average grayscale value and number of high-temperature areas, thereby helping to determine the temperature distribution of the battery surface.

[0063] In an embodiment of the present application, a battery thermal management method is provided, wherein determining the temperature level of the battery surface based on the thermal characteristics of the battery surface includes: obtaining the area, number and gray value average of each first high temperature region, and calculating the temperature level of the battery surface based on the area, number and gray value average of each first high temperature region. The calculation formula of the temperature level of the battery surface is:

[0064]

[0065] Among them, L is the temperature level of the battery surface, R is the preset basic level, X is the area coefficient of the first high temperature area, Si is the area of ​​the i-th first high temperature area, Y is the gray value average coefficient of the first high temperature area, Pi is the gray value average of the i-th first high temperature area, and n is the number of first high temperature areas.

[0066] In an embodiment of the present application, a battery thermal management method is provided, wherein the cooling working condition is set according to the temperature level of the battery surface, including: presetting a standard temperature level S0, obtaining a temperature level △S of the battery surface, and setting a first preset difference S1, a second preset difference S2, a third preset difference S3 and a fourth preset difference S4, and S1<S2<S3<S4, and presetting a first preset working condition matrix A1(a1, b1), a second preset working condition matrix A2(a2, b2), a third preset working condition matrix A3(a3, b3) and a fourth preset working condition matrix A4(a4, b4), wherein a1-a4 are first to fourth pre-cooling powers respectively, And a1<a2<a3<a4, b1-b4 are the first to fourth cooling time lengths respectively, b1<b2<b3<b4; according to the difference between the temperature level △S on the battery surface and the standard temperature level S0, the preset working condition matrix Ai is set as the cooling working condition; when △S-S0≤S1, the first preset working condition matrix A1 is set as the cooling working condition; when S1<△S-S0≤S2, the second preset working condition matrix A2 is set as the cooling working condition; when S2<△S-S0≤S3, the third preset working condition matrix A3 is set as the cooling working condition; when S3<△S-S0≤S4, the fourth preset working condition matrix A4 is set as the cooling working condition.

[0067] Specifically, a standard temperature level S0 is pre-set, which is the reference value of the battery surface temperature. At the same time, a series of preset difference values ​​S1, S2, S3 and S4 are also required to be set, and these differences are used to divide different temperature level ranges; a series of working condition matrices A1, A2, A3 and A4 are pre-set, and each matrix includes parameters of cooling power and cooling time, and these parameters will be used to determine the cooling working conditions according to the temperature level difference; the difference △S between the battery surface temperature level and the standard temperature level is compared with the pre-set difference values ​​S1, S2, S3 and S4 to determine which preset working condition matrix should be used as the cooling working condition; according to the range of the difference, a suitable preset working condition matrix is ​​selected as the cooling working condition to ensure that corresponding cooling measures can be taken at different temperature levels. This step intelligently selects the appropriate cooling working condition according to the difference between the actual temperature level of the battery surface and the preset standard temperature level to achieve accurate control and adjustment of the battery temperature. In this way, flexible cooling processing can be performed according to the actual temperature conditions, thereby ensuring that the battery works within a safe temperature range, preventing the battery from overheating, and maximizing the performance and life of the battery.

[0068] In an embodiment of the present application, a battery thermal management method is provided, wherein a first thermal imaging image of a battery surface is compared and analyzed with a second thermal imaging image to determine the heat change characteristics of the battery surface, including: obtaining a first high temperature region in the first thermal imaging image of the battery surface and the area of ​​each first high temperature region and the number of first high temperature regions, and calculating the sum of the areas of all first high temperature regions in the first thermal imaging image to obtain a first total area; grayscale processing is performed on the second thermal imaging image, and the grayscale values ​​of all pixels in the second thermal imaging image are determined; the second thermal imaging image is segmented into a plurality of regions according to a threshold segmentation method, and the grayscale values ​​of all pixels in each region are calculated. The gray value average of the pixel points, and the area with the gray value average greater than the preset second average is determined as the second high temperature area; the area of ​​each second high temperature area and the number of the second high temperature areas in the second thermal imaging image are determined, and the sum of the areas of all the second high temperature areas in the second thermal imaging image is calculated to obtain the second total area; the difference between the first total area of ​​the first high temperature area and the second total area of ​​the second high temperature area is calculated to obtain the area difference, and the difference between the number of the first high temperature areas and the number of the second high temperature areas is calculated to obtain the number difference; the area difference and the number difference between the first thermal imaging image and the second thermal imaging image are used as the heat change characteristics of the battery surface.

[0069] Specifically, based on the previous processing of the first thermal imaging image, the high temperature areas therein are identified and measured, including the area and number of each high temperature area; the sum of the areas of all first high temperature areas in the first thermal imaging image is calculated to obtain the first total area, and the areas of all first high temperature areas are accumulated to obtain the total high temperature area of ​​the first thermal imaging image; the second thermal imaging image is gray-processed, and the gray-scale values ​​of all pixels of the second thermal imaging image are determined, the second thermal imaging image is gray-processed, the color image is converted into a gray-scale image, and the gray-scale values ​​of all pixels are obtained; the second thermal imaging image is divided into several areas according to the threshold segmentation method, the average gray-scale value of all pixels in each area is calculated, and the area whose average gray-scale value is greater than the preset second average is determined as the second high temperature area, the second thermal imaging image is segmented, and the gray-scale value of each area is calculated. The average value of the grayscale value is obtained, and the area with a higher grayscale value is identified as the second high temperature area; the area and number of each second high temperature area in the second thermal imaging image are determined, and the sum of the areas of all second high temperature areas in the second thermal imaging image is calculated to obtain the second total area, the area and number of the second high temperature areas are counted, and the total area of ​​the high temperature areas in the second thermal imaging image is calculated; the difference between the first total area of ​​the first high temperature area and the second total area of ​​the second high temperature area is calculated to obtain the area difference, and the difference between the number of the first high temperature area and the number of the second high temperature area is calculated to obtain the number difference, and the area difference and number difference are obtained by calculating the difference between the area and number of the high temperature areas in the two thermal imaging images; the area difference and number difference are used as the heat change characteristics of the battery surface, and the area difference and number difference are used as the heat change characteristics of the battery surface to analyze the heat change of the battery surface. This step uses the difference in the area and number of the high temperature areas in the two thermal imaging images to reflect the heat change of the battery surface, thereby providing important data support for the thermal management and performance evaluation of the battery. By comparing the changes in the high temperature areas in the thermal imaging images, the change trend of the heat on the battery surface can be discovered in time, providing useful information for the safe operation and performance optimization of the battery.

[0070] In an embodiment of the present application, a battery thermal management method is provided, wherein the evaluation and calculation of the cooling effect according to the heat change characteristics includes: obtaining the area difference and the quantity difference between the first thermal imaging image and the second thermal imaging image, and evaluating and calculating the area difference and the quantity difference respectively to obtain an area difference evaluation value and a quantity difference evaluation value; determining a cooling effect evaluation value based on the area difference evaluation value and the quantity difference evaluation value, and the calculation formula of the cooling effect evaluation value is:

[0071] W = α * A + β * B,

[0072] Among them, W is the cooling effect evaluation value, α is the preset weight of the area difference evaluation value, A is the area difference evaluation value, β is the preset weight of the quantity difference evaluation value, and B is the quantity difference evaluation value.

[0073] In an embodiment of the present application, a battery thermal management method is provided, wherein an adjustment coefficient is determined according to an evaluation result, and the refrigeration working condition is adjusted according to the adjustment coefficient, including: presetting an adjustment coefficient-cooling effect evaluation value interval correspondence relationship, wherein the adjustment coefficient-cooling effect evaluation value interval correspondence relationship is associated with a corresponding adjustment coefficient for each cooling effect evaluation value interval; obtaining a cooling effect evaluation value, and based on a mapping relationship between the cooling effect evaluation value interval to which the cooling effect evaluation value belongs within the adjustment coefficient-cooling effect evaluation value interval correspondence relationship, selecting an adjustment coefficient corresponding to the cooling effect evaluation value interval; adjusting the refrigeration power and refrigeration time in the refrigeration working condition according to the adjustment coefficient, and cooling the battery according to the adjusted refrigeration working condition.

[0074] Specifically, a group of intervals are pre-set, each interval is associated with an adjustment coefficient, these intervals represent different ranges of cooling effect evaluation values, and the adjustment coefficient is used to adjust the refrigeration working conditions; the cooling effect evaluation value is obtained, and based on the mapping relationship between the interval to which the value belongs and the adjustment coefficient-cooling effect evaluation value interval correspondence, the adjustment coefficient corresponding to the cooling effect evaluation value interval is selected, and according to the size of the actual cooling effect evaluation value, it is mapped to the pre-set interval range, and the adjustment coefficient corresponding to the interval is selected; the cooling power and cooling time in the refrigeration working conditions are adjusted according to the adjustment coefficient, and the cooling power and cooling time in the refrigeration working conditions are adjusted accordingly according to the selected adjustment coefficient to achieve more effective cooling treatment; the battery is cooled according to the adjusted refrigeration working conditions, and the battery is cooled according to the adjusted refrigeration working conditions to ensure that the battery surface temperature can operate stably within a safe range. This step intelligently selects the adjustment coefficient based on the actual cooling effect evaluation value, and optimizes the refrigeration working conditions according to the selected adjustment coefficient to achieve more accurate and effective cooling processing. By dynamically adjusting the refrigeration working conditions, the battery temperature can be accurately controlled according to actual conditions to ensure battery safety and performance stability.

[0075] like Figure 2As shown, in an embodiment of the present application, a battery thermal management system is provided, including: an analysis module, used to obtain a first thermal imaging image of a battery surface, and analyze the first thermal imaging image to determine the thermal characteristics of the battery surface; a setting module, used to determine the temperature level of the battery surface based on the thermal characteristics of the battery surface, and set the refrigeration working conditions according to the temperature level of the battery surface; a cooling module, used to cool the battery according to the refrigeration working conditions, and obtain a second thermal imaging image of the battery surface after the cooling treatment; a comparison module, used to compare and analyze the first thermal imaging image of the battery surface with the second thermal imaging image, determine the thermal change characteristics of the battery surface, and evaluate and calculate the cooling effect according to the thermal change characteristics; an adjustment module, used to determine the adjustment coefficient according to the evaluation result, and adjust the refrigeration working conditions according to the adjustment coefficient.

[0076] In summary, an embodiment of the present invention provides a battery thermal management method and system, which includes: acquiring and analyzing a first thermal imaging image of the battery surface to determine the thermal characteristics of the battery surface; determining the temperature level of the battery surface based on the thermal characteristics, and setting the refrigeration working conditions accordingly; cooling the battery according to the refrigeration working conditions, and acquiring a second thermal imaging image of the battery surface after the cooling treatment; comparing and analyzing the first thermal imaging image of the battery surface with the second thermal imaging image to determine the thermal change characteristics of the battery surface, and evaluating and calculating the cooling effect according to the thermal change characteristics; determining an adjustment coefficient according to the evaluation result, and adjusting the refrigeration working conditions according to the adjustment coefficient. The present invention compares the first and second thermal imaging images to evaluate the effect of the cooling treatment and determine the influence of the refrigeration working conditions on the battery temperature, so that intelligent adjustments can be made according to the actual temperature of the battery, thereby improving the precise control of the battery temperature and reducing energy waste.

[0077] Finally, it should be noted that: Obviously, a person skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, the present invention is also intended to include these modifications and variations.

[0078] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0079] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0080] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it is easy for a person skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, a person skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A battery thermal management method, characterized in that: include: Acquire a first thermal imaging image of the battery surface, and analyze the first thermal imaging image to determine a thermal feature of the battery surface; Determine the temperature level of the battery surface based on the thermal characteristics of the battery surface, and set the cooling working conditions according to the temperature level of the battery surface; Cooling the battery according to the refrigeration working condition, and acquiring a second thermal imaging image of the battery surface after the cooling process; Comparing and analyzing the first thermal imaging image and the second thermal imaging image of the battery surface, determining the heat change characteristics of the battery surface, and evaluating and calculating the cooling effect according to the heat change characteristics; The adjustment factor is determined based on the evaluation results, and the refrigeration working conditions are adjusted based on the adjustment factor.

2. A battery thermal management method according to claim 1, characterized in that: The step of acquiring a first thermal imaging image of the battery surface and analyzing the first thermal imaging image to determine the thermal characteristics of the battery surface includes: Acquire a first thermal imaging image of the battery surface, and grayscale process the first thermal imaging image to obtain a first grayscale image; Obtaining grayscale values ​​of all pixels of the first grayscale image, and segmenting the first grayscale image into a plurality of regions according to a threshold segmentation method; Calculate the average grayscale value of all pixels in each area, and determine the area whose average grayscale value is greater than a preset first average value as a first high temperature area; The area and gray value average of each first high temperature region and the number of first high temperature regions are determined, and the area and gray value average of each first high temperature region and the number of first high temperature regions are determined as thermal characteristics of the battery surface.

3. A battery thermal management method according to claim 2, characterized in that: The step of determining the temperature level of the battery surface based on the thermal characteristics of the battery surface includes: The area, number and gray value average of each first high temperature region are obtained, and the temperature level of the battery surface is calculated based on the area, number and gray value average of each first high temperature region. The calculation formula of the temperature level of the battery surface is: Among them, L is the temperature level of the battery surface, R is the preset basic level, X is the area coefficient of the first high temperature area, Si is the area of ​​the i-th first high temperature area, Y is the gray value average coefficient of the first high temperature area, Pi is the gray value average of the i-th first high temperature area, and n is the number of first high temperature areas.

4. A battery thermal management method according to claim 3, characterized in that: The step of setting the cooling working conditions according to the temperature level of the battery surface includes: A standard temperature level S0 is preset, a temperature level △S of the battery surface is obtained, and a first preset difference S1, a second preset difference S2, a third preset difference S3 and a fourth preset difference S4 are set, and S1<S2<S3<S4, and a first preset working condition matrix A1(a1, b1), a second preset working condition matrix A2(a2, b2), a third preset working condition matrix A3(a3, b3) and a fourth preset working condition matrix A4(a4, b4) are preset, wherein a1-a4 are the first to fourth pre-cooling powers respectively, and a1<a2<a3<a4, b1-b4 are the first to fourth cooling time respectively, and b1<b2<b3<b4; According to the difference between the temperature level △S of the battery surface and the standard temperature level S0, the preset working condition matrix Ai is set as the cooling working condition; When △S-S0≤S1, the first preset working condition matrix A1 is set as the cooling working condition; When S1<△S-S0≤S2, the second preset working condition matrix A2 is set as the cooling working condition; When S2<△S-S0≤S3, the third preset working condition matrix A3 is set as the cooling working condition; When S3<ΔS-S0≤S4, the fourth preset working condition matrix A4 is set as the cooling working condition.

5. A battery thermal management method according to claim 4, characterized in that: The comparing and analyzing the first thermal imaging image and the second thermal imaging image of the battery surface to determine the heat change characteristics of the battery surface includes: Acquire the first high temperature region and the area of ​​each first high temperature region and the number of first high temperature regions in the first thermal imaging image of the battery surface, and calculate the sum of the areas of all first high temperature regions in the first thermal imaging image to obtain a first total area; Performing grayscale processing on the second thermal imaging image, and determining grayscale values ​​of all pixels of the second thermal imaging image; The second thermal imaging image is divided into a plurality of regions according to a threshold segmentation method, the gray value average of all pixels in each region is calculated, and the region whose gray value average is greater than a preset second average is determined as a second high temperature region; determining the area of ​​each second high temperature region and the number of the second high temperature regions in the second thermal imaging image, and calculating the sum of the areas of all the second high temperature regions in the second thermal imaging image to obtain a second total area; Calculating a difference between a first total area of ​​the first high temperature region and a second total area of ​​the second high temperature region to obtain an area difference, and calculating a difference between the number of the first high temperature region and the number of the second high temperature region to obtain a number difference; The area difference and quantity difference between the first thermal imaging image and the second thermal imaging image are used as the heat change characteristics of the battery surface.

6. A battery thermal management method according to claim 5, characterized in that: The evaluation and calculation of the cooling effect according to the heat change characteristics includes: Acquire an area difference and a quantity difference between the first thermal imaging image and the second thermal imaging image, and respectively evaluate and calculate the area difference and the quantity difference to obtain an area difference evaluation value and a quantity difference evaluation value; The cooling effect evaluation value is determined based on the area difference evaluation value and the quantity difference evaluation value. The calculation formula for the cooling effect evaluation value is: W = α * A + β * B, Among them, W is the cooling effect evaluation value, α is the preset weight of the area difference evaluation value, A is the area difference evaluation value, β is the preset weight of the quantity difference evaluation value, and B is the quantity difference evaluation value.

7. A battery thermal management method according to claim 6, characterized in that: Determining the adjustment coefficient according to the evaluation result, and adjusting the refrigeration working conditions according to the adjustment coefficient, includes: The corresponding relationship between the adjustment coefficient and the cooling effect evaluation value interval is preset, and the corresponding relationship between the adjustment coefficient and the cooling effect evaluation value interval is associated with a corresponding adjustment coefficient for each cooling effect evaluation value interval; Acquire a cooling effect evaluation value, and based on a mapping relationship between a cooling effect evaluation value interval to which the cooling effect evaluation value belongs and an adjustment coefficient corresponding to the cooling effect evaluation value interval, select an adjustment coefficient corresponding to the cooling effect evaluation value interval; The cooling power and cooling time in the cooling working condition are adjusted according to the adjustment coefficient, and the battery is cooled according to the adjusted cooling working condition.

8. A battery thermal management system, characterized in that: include: An analysis module, used to obtain a first thermal imaging image of the battery surface, and analyze the first thermal imaging image to determine the thermal characteristics of the battery surface; A setting module, used to determine the temperature level of the battery surface based on the thermal characteristics of the battery surface, and set the cooling working conditions according to the temperature level of the battery surface; A cooling module, used to cool the battery according to the cooling working conditions and obtain a second thermal imaging image of the battery surface after the cooling treatment; A comparison module, used for comparing and analyzing the first thermal imaging image of the battery surface with the second thermal imaging image, determining the heat change characteristics of the battery surface, and evaluating and calculating the cooling effect according to the heat change characteristics; The adjustment module is used to determine the adjustment coefficient according to the evaluation result, and adjust the refrigeration working conditions according to the adjustment coefficient.

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