Balancing control method and equipment of battery and storage medium

Abstract

The invention provides a battery equalization control method and device and a storage medium. The battery equalization control method comprises the following steps: acquiring health degree scores of a plurality of target batteries; determining a standard deviation of the plurality of health degree scores; classifying the plurality of target batteries according to the health degree scores by using the standard deviation so as to determine a target category of each target battery; and performing battery equalization processing between the target batteries of the at least two target categories. According to the embodiment of the invention, the health degree scores of the plurality of target batteries are obtained, and the plurality of target batteries are dynamically classified according to the health degree scores based on the standard deviation of the plurality of health degree scores, so that the classification of the target batteries subjected to battery equalization processing is more reasonable, the battery equalization efficiency is improved, the energy consumption in the equalization process is reduced, and the battery equalization quality is improved. And the battery equalization effect is improved.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a battery balancing control method, device, and storage medium. Background Art

[0002] During the long-term battery charging and discharging process, differences will exist between multiple batteries, and the inconsistency will increase, causing the capacity of the entire battery pack to rapidly decay, and even causing individual batteries to be damaged due to overcharging or over-discharging. Therefore, battery balancing is necessary to regulate the status of the entire battery pack.

[0003] In related technologies, the efficiency of battery balancing is often low, and the energy consumption during the balancing process is large, resulting in poor battery balancing effect. Summary of the Invention

[0004] The embodiments of the present application provide a battery balancing control method, device, and storage medium, aiming to improve battery balancing effect.

[0005] In a first aspect, an embodiment of the present application provides a battery balancing control method, the battery balancing control method comprising:

[0006] Get the health scores of multiple target batteries;

[0007] determining a standard deviation of a plurality of the health scores;

[0008] Using the standard deviation, classify the plurality of target batteries according to the health scores to determine a target category for each target battery;

[0009] A cell balancing process is performed between target cells of at least two target categories.

[0010] In an embodiment of the present application, by obtaining the health scores of multiple target batteries and dynamically classifying the multiple target batteries according to the health scores based on the standard deviation of the multiple health scores, the classification of the target batteries for battery balancing is made more reasonable, thereby improving the efficiency of battery balancing, reducing energy consumption during the balancing process, and improving the battery balancing effect.

[0011] In one embodiment, using the standard deviation to classify the plurality of target batteries according to the health scores to determine the target category of each target battery includes:

[0012] Get the battery quantity ratio used for battery classification;

[0013] Preliminarily classifying the plurality of target batteries sorted in order according to the health scores according to the battery quantity ratio to obtain a preliminary category for each target battery;

[0014] The preliminary category of at least one target battery is adjusted using the standard deviation to obtain a target category for each target battery.

[0015] In an embodiment of the present application, by preliminarily classifying multiple target batteries sorted by health scores according to the battery quantity ratio, and then adjusting the preliminary category of at least one target battery using the standard deviation, the classification of the target batteries for battery balancing can be made more reasonable, thereby further improving the battery balancing effect.

[0016] In one embodiment, adjusting the preliminary category of at least one target battery using the standard deviation includes:

[0017] Determining, from among the preliminary categories of the plurality of target batteries sequentially sorted according to the health scores, a first category and a second category that are sequentially sorted and positioned adjacently;

[0018] determining a minimum value among health scores of a plurality of target batteries in the first category;

[0019] determining an average of the health scores of the plurality of target batteries in the second category;

[0020] If the minimum value, the mean value, and the standard deviation do not satisfy a preset first size relationship, the preliminary category of at least one target battery is adjusted so that the first size relationship is satisfied.

[0021] In the embodiment of the present application, by adjusting the preliminary category of at least one target battery through the constraint of the first size relationship, the classification of the target batteries to be subjected to battery balancing processing can be made more reasonable, thereby further improving the battery balancing effect.

[0022] In one embodiment, the first size relationship includes that the difference between the minimum value and the mean value is greater than or equal to a first target threshold value, and the first target threshold value is determined based on the standard deviation.

[0023] In the embodiment of the present application, the constraint relationship among the minimum value, the mean value, and the standard deviation is defined by the first size relationship, so that the adjustment of the preliminary category of the target battery is more accurate.

[0024] In one embodiment, adjusting the preliminary category of at least one target battery further includes:

[0025] Determining a third category, wherein, in the preliminary categories of the plurality of target batteries sorted in sequence according to the health scores, the first category, the second category, and the third category are sorted in sequence, and the third category is adjacent to the second category;

[0026] determining a maximum value among health scores of the plurality of target batteries in the third category;

[0027] If the maximum value, the mean value, and the standard deviation of the health scores of the plurality of target batteries in the third category do not satisfy a preset second size relationship, the preliminary category of at least one target battery is adjusted so that the second size relationship is satisfied.

[0028] In the embodiment of the present application, by adjusting the preliminary category of at least one target battery through the constraint of the second size relationship, the classification of the target batteries to be subjected to the battery balancing process can be made more reasonable, thereby further improving the battery balancing effect.

[0029] In one embodiment, the first size relationship includes that a difference between the mean and the maximum value is greater than or equal to a second target threshold, and the second target threshold is determined based on a standard deviation of health scores of the plurality of target batteries in the third category.

[0030] In an embodiment of the present application, the constraint relationship among the minimum value, mean value, and standard deviation of the health scores of multiple target batteries in the third category is limited by the second size relationship, so that the adjustment of the preliminary category of the target battery is more accurate.

[0031] In one embodiment, after determining the third category, the method further includes:

[0032] removing target batteries that meet a preset screening condition from the plurality of target batteries of the third category;

[0033] The screening conditions include that the actual measured battery capacity of the target battery is less than a preset capacity threshold, and / or the actual measured internal resistance of the target battery is greater than a preset internal resistance threshold.

[0034] The capacity threshold is determined based on at least one of the factory rated capacity of the target battery, the average of the measured battery capacities of the plurality of target batteries, and the standard deviation of the measured battery capacities of the plurality of target batteries.

[0035] The internal resistance threshold is determined based on the initial internal resistance of the target battery before leaving the factory and the internal resistance at the end of life.

[0036] In the embodiment of the present application, by removing target batteries that meet the screening conditions from the plurality of target batteries in the third category, it is possible to avoid performing cell balancing processing on the target batteries that meet the screening conditions, thereby reducing cell balancing efficiency.

[0037] In one embodiment, performing battery balancing between target batteries of at least two target categories includes:

[0038] If a preset cell balancing condition is met, performing cell balancing between the target cells of the first category and the target cells of the third category;

[0039] If the cell balancing condition is not met, performing cell balancing between the target cells of the first category and the target cells of the second category, and performing cell balancing between the target cells of the second category and the target cells of the third category;

[0040] The battery balancing condition includes at least one of the following:

[0041] A difference in battery state of charge between at least one target battery of the first category and at least one target battery of the third category is greater than a preset first difference;

[0042] A temperature difference between the at least one target battery of the first category and the at least one target battery of the third category is less than or equal to a preset second difference;

[0043] The ambient temperature of the target battery is greater than or equal to a preset temperature threshold.

[0044] In the embodiment of the present application, different cell balancing strategies are selected when the cell balancing condition is met and when the cell balancing condition is not met, so as to improve the cell balancing effect.

[0045] In a second aspect, an embodiment of the present application provides a battery balancing control device, the battery balancing control device comprising:

[0046] An acquisition module is used to obtain the health scores of multiple target batteries;

[0047] a determination module, configured to determine a standard deviation of a plurality of health scores;

[0048] a classification module, configured to classify a plurality of target batteries according to the health scores using the standard deviation to determine a target category of each target battery;

[0049] The balancing module is configured to perform battery balancing between target batteries of at least two target categories.

[0050] In a third aspect, an embodiment of the present application provides a battery balancing control device, comprising a processor and a memory, wherein a computer program is stored in the memory, and the computer program is configured to be executed by the processor to implement the battery balancing control method as described in any one of the above items.

[0051] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is configured to be executed by a processor to implement the battery balancing control method as described in any one of the above items.

[0052] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, which are executed by a processor to implement the battery balancing control method as described in any one of the above items.

[0053] Beneficial effects of the embodiments of the present application:

[0054] In an embodiment of the present application, by obtaining the health scores of multiple target batteries and dynamically classifying the multiple target batteries according to the health scores based on the standard deviation of the multiple health scores, the classification of the target batteries for battery balancing is made more reasonable, thereby improving the efficiency of battery balancing, reducing energy consumption during the balancing process, and improving the battery balancing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0056] Figure 1 This is a flow chart of an embodiment of a battery balancing control method provided in an embodiment of the present application;

[0057] Figure 2 This is a flow chart of another embodiment of a battery balancing control method provided in an embodiment of the present application;

[0058] Figure 3 This is a flow chart of another embodiment of the battery balancing control method provided in the embodiments of the present application;

[0059] Figure 4 This is a schematic structural diagram of an embodiment of a battery balancing control device provided in an embodiment of the present application;

[0060] Figure 5 This is a schematic structural diagram of an embodiment of a battery balancing control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of this application. In addition, in the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0062] In the related art, most power storage projects use passive balancing. However, passive balancing can cause significant heating of the resistors used for balancing. Furthermore, due to battery consistency issues, the voltage differential in the battery system can easily become excessive, triggering an alarm. Active balancing increases balancing costs, and the circuitry used for active balancing is complex and difficult to implement. Manual balancing relies on manual experience, resulting in slow balancing speed, high energy consumption, and large errors, all of which lead to low balancing efficiency.

[0063] Therefore, embodiments of the present application provide a battery balancing control method, device, and storage medium. By obtaining the health scores of multiple target batteries and dynamically classifying them according to their health scores based on their standard deviations, this method makes the classification of target batteries for battery balancing more reasonable, thereby improving battery balancing efficiency, reducing energy consumption during the balancing process, and enhancing battery balancing effectiveness. For a detailed description of the solution, please refer to the following.

[0064] In the first aspect, the embodiments of the present application provide a method for controlling the balancing of a battery. Figure 1 , Figure 1 FIG1 is a flow chart of an embodiment of a battery balancing control method. Figure 1 In the embodiment of the present invention, the battery balancing control method may include:

[0065] 101. Obtain health scores of multiple target batteries.

[0066] In the embodiments of the present application, multiple target batteries can be batteries in the same battery pack or battery module, or batteries in different battery packs or battery modules, without limitation. The health score is a numerical value used to reflect the health of the corresponding target battery, and each target battery has a corresponding health score.

[0067] In some embodiments of the present application, a method for determining a health score is described. Specifically, obtaining the health scores of multiple target batteries may include: obtaining the state of charge, temperature, and internal resistance of each target battery; determining the health score of the corresponding target battery based on the state of charge, temperature, and internal resistance, for example, by weighted summation of the state of charge, temperature, and internal resistance to obtain the health score of the corresponding target battery. The state of charge may be calculated based on the voltage of the target battery, and the specific calculation process is not limited here. The calculation formula for the health score may include, for example:

[0068] H=αSOC+β*(1 / R)+γ*(1 / ΔT)

[0069] Among them, H is the health score of the target battery, SOC is the state of charge of the target battery, R is the internal resistance of the target battery, ΔT is the temperature of the target battery, α, β, and γ are preset weights, for example, α can be 0.6, β can be 0.3, and γ can be 0.1.

[0070] It can be seen that the health score calculated based on the state of charge, temperature, and internal resistance can be used in battery balancing to take into account the differences in state of charge, temperature, and internal resistance of different target batteries, thereby further improving the efficiency of battery balancing and reducing energy consumption during the balancing process.

[0071] In some embodiments of the present application, another method for determining a health score is described. Specifically, obtaining the health scores of multiple target batteries may include: obtaining the state of health (SOH) of each target battery; and using the battery health as the health score of the corresponding target battery.

[0072] 102. Determine the standard deviation of multiple health scores.

[0073] In the embodiments of the present application, the standard deviation of multiple health scores is a statistic used to describe the degree of dispersion of the multiple health scores. The standard deviation can be calculated by determining the average of the multiple health scores, calculating the square of the difference between each health score and the average, summing all the squared values, dividing by the total, and then taking the square root of the result. The square root result is the standard deviation of the multiple health scores.

[0074] 103. Using standard deviation, multiple target batteries are classified according to health scores to determine the target category of each target battery.

[0075] In the embodiment of the present application, the classification criteria can be determined based on the standard deviation, and multiple target batteries can be classified according to their health scores, thereby determining the target category of each target battery. Figure 2 The steps in the illustrated embodiment can, of course, also be classified in other ways. For example, the average of multiple health scores can be determined, and target batteries with health scores greater than the sum of the average and the standard deviation can be used as target batteries of one target category, and target batteries with health scores less than the difference between the average and the standard deviation can be used as target batteries of another target category, while the remaining unclassified target batteries can be used as target batteries of yet another target category.

[0076] 104. Perform battery balancing between target batteries of at least two target categories.

[0077] In the embodiment of the present application, the battery balancing process refers to controlling a target battery of one target category to charge a target battery of another target category, thereby completing energy transfer between target batteries of different target categories.

[0078] It can be seen that in the above embodiment of the present application, by obtaining the health scores of multiple target batteries and dynamically classifying the multiple target batteries according to the health scores based on the standard deviation of the multiple health scores, the classification of the target batteries undergoing battery balancing is made more reasonable, thereby improving the efficiency of battery balancing, reducing energy consumption during the balancing process, and improving the battery balancing effect.

[0079] In some embodiments of the present application, reference is made to Figure 2 ,exist Figure 1 Based on the embodiment shown, using standard deviation to classify multiple target batteries according to health scores to determine the target category of each target battery may include:

[0080] 201. Obtain the battery quantity ratio used for battery classification.

[0081] In the embodiments of the present application, the battery quantity ratio used for battery classification refers to the expected ratio between the number of target batteries in different target categories when classifying multiple target batteries. For example, when classifying multiple target batteries into three target categories, the ratio of the number of batteries in the three target categories can be 30%:50%:20%.

[0082] In some embodiments of the present application, a method for determining a battery quantity ratio is described. Specifically, obtaining a battery quantity ratio for battery classification may include: obtaining an overall capacity decay rate of multiple target batteries, wherein the overall capacity decay rate of the multiple target batteries may be obtained by dividing the difference between the factory nominal total capacity of the multiple target batteries and the current actual available total capacity of the multiple target batteries (which can be determined through charge and discharge testing) by the factory nominal total capacity of the multiple target batteries; if the overall capacity decay rate is less than or equal to a preset decay rate threshold, a first preset ratio is used as the battery quantity ratio; if the overall capacity decay rate is greater than the preset decay rate threshold, a second preset ratio is used as the battery quantity ratio. The decay rate threshold may be, for example, 0.2, the first preset ratio may be 30%:50%:20%, and the second preset ratio may be 20%:55%:20%, thereby making the classification of the target batteries undergoing battery balancing more reasonable. Of course, the battery quantity ratio can be manually set and adjusted based on actual needs, which is not limited here.

[0083] 202. Preliminarily classify the multiple target batteries sorted in order by health scores according to the ratio of battery quantity to obtain a preliminary category for each target battery.

[0084] In the embodiments of the present application, the battery quantity ratio is used for preliminary classification of target batteries. For example, multiple target batteries can be sorted in descending order of health scores to obtain a ranking of the multiple target batteries. The multiple target batteries in the ranking are then divided into multiple sections, with the target batteries in each section belonging to the same preliminary category. The ratio of the target batteries in the different preliminary categories sorted in sequence is equal to the aforementioned battery quantity ratio, thereby completing the preliminary classification of the multiple target batteries.

[0085] 203. Using the standard deviation, adjust the preliminary category of at least one target battery to obtain a target category for each target battery.

[0086] In an embodiment of the present application, in order to ensure that the classification of multiple target batteries still meets the classification criteria determined based on the standard deviation, the preliminary category of at least one target battery can be adjusted based on the standard deviation to obtain the target category of each target battery. The target category of each target battery can be displayed on a visualization terminal for viewing by relevant technicians.

[0087] In some embodiments of the present application, adjusting the preliminary category of at least one target battery using the standard deviation may include: determining a first category and a second category that are sequentially and adjacently ranked among the preliminary categories of multiple target batteries sorted in descending order according to their health scores, for example, the first category may be the highest ranked preliminary category (indicating high-quality batteries), and the second category may be the second highest ranked preliminary category (indicating medium-quality batteries); determining the minimum health score of the multiple target batteries in the first category, where the minimum health score is the health score of the target battery in the first category closest to the second category; determining the mean health score of the multiple target batteries in the second category; if the minimum health score, the mean health score, and the standard deviation do not satisfy a preset first size relationship, indicating that the preliminary classification of at least one target battery in the first and second categories is unreasonable, the preliminary category of the at least one target battery may be adjusted, for example, adjusting at least one target battery in the second category that is close to the first category to the first category, or adjusting at least one target battery in the first category that is close to the second category to the second category, so that the first size relationship is satisfied. The first size relationship represents a classification standard determined based on the standard deviation.

[0088] In some embodiments of the present application, an example description of the first size relationship is provided. Specifically, the first size relationship includes a difference between the minimum value and the mean value being greater than or equal to a first target threshold value, where the first target threshold value is determined based on the standard deviation. The first size relationship may include, for example:

[0089] H_A_min-H_B_avg≥kσ

[0090] Among them, H_A_min is the minimum value among the health scores of multiple target batteries in the first category, H_B_avg is the average of the health scores of multiple target batteries in the second category, kσ is the first target threshold, σ is the above-mentioned standard deviation, k is the preset first adjustment coefficient, and the value range of k can be, for example, [1.5, 3], thereby achieving adaptive adjustment of the first target threshold.

[0091] In some embodiments of the present application, adjusting the preliminary category of at least one target battery may further include: determining a third category, wherein, among the preliminary categories of the plurality of target batteries sorted in descending order according to the health scores, the first category, the second category, and the third category are sorted in order, and the third category is adjacent to the second category, for example, the first category may be the preliminary category ranked highest, the second category may be the preliminary category ranked second highest, and the third category may be the preliminary category ranked third highest (characterizing inferior batteries); determining a maximum value among the health scores of the plurality of target batteries in the third category, the maximum value being the health score of the target battery in the third category that is closest to the second category; if the maximum value, the mean value, and the standard deviation of the health scores of the plurality of target batteries in the third category do not satisfy a preset second size relationship, indicating that the preliminary classification of at least one target battery in the second and third categories is unreasonable, the preliminary category of the at least one target battery may be adjusted, for example, adjusting at least one target battery in the third category that is close to the second category to the second category, or adjusting at least one target battery in the second category that is close to the third category to the third category, so that the second size relationship is satisfied. The second size relationship represents a classification standard determined based on a standard deviation of health scores of multiple target batteries in the third category.

[0092] In some embodiments of the present application, an example is provided for describing the second size relationship. Specifically, the second size relationship includes a difference between the mean and the maximum being greater than or equal to a second target threshold, where the second target threshold is determined based on the standard deviation of the health scores of multiple target batteries in the third category. The second size relationship may, for example, include:

[0093] H_B_avg-H_C_max≥α*σ B

[0094] Wherein, H_B_avg is the average health score of multiple target batteries in the second category, H_C_max is the maximum health score of multiple target batteries in the third category, α*σ B is the second target threshold, σ Bis the standard deviation of the health scores of multiple target batteries in the third category, and α is a preset second adjustment coefficient. The value range of α can be, for example, [1.5, 2.0], thereby achieving adaptive adjustment of the second target threshold. Furthermore, by adjusting the classification of target batteries in the second and / or third categories, it is possible to prevent target batteries in the third category from mixing with target batteries in the second category and causing a capacity drop, thereby achieving performance isolation between target batteries in the third and second categories.

[0095] In some embodiments of the present application, after determining the third category, the method may further include: removing target batteries that meet preset screening conditions from multiple target batteries in the third category to avoid performing cell balancing on the target batteries that meet the screening conditions and reducing cell balancing efficiency.

[0096] The screening conditions include the target battery's measured capacity being less than a preset capacity threshold, and / or the target battery's measured internal resistance being greater than a preset internal resistance threshold. The capacity threshold is determined based on at least one of the target battery's factory rated capacity, the mean of the measured battery capacities of multiple target batteries, and the standard deviation of the measured battery capacities of multiple target batteries. The internal resistance threshold is determined based on the target battery's factory initial internal resistance and end-of-life internal resistance.

[0097] In some embodiments of the present application, taking the case where the capacity threshold is determined based on the factory rated capacity of the target battery as an example, the capacity threshold can be calculated using the following formula:

[0098] H_C_min=γ*C_rated

[0099] Wherein, H_C_min is the capacity threshold, C_rated is the factory rated capacity of the target battery, γ is the safety attenuation coefficient, and the value range of γ can be, for example, [0.6, 0.7].

[0100] In some embodiments of the present application, taking the case where the capacity threshold is determined based on the mean of the measured battery capacities of multiple target batteries and the standard deviation of the measured battery capacities of the multiple target batteries as an example, the capacity threshold can be calculated using the following formula:

[0101] H_C_min=μ-4σ

[0102] Among them, H_C_min is the capacity threshold, μ is the mean of the measured battery capacity of multiple target batteries, and σ is the standard deviation of the measured battery capacity of multiple target batteries. The capacity threshold is used to exclude extremely degraded target battery individuals, which is suitable for the classification of large quantities of target batteries.

[0103] In some embodiments of the present application, taking the internal resistance threshold determined based on the factory initial internal resistance and the internal resistance at the end of life of the target battery as an example, the internal resistance threshold can be calculated using the following formula:

[0104] R_C_max=R_rated+δ*(R_EOL - R_rated)

[0105] Wherein, R_C_max is the internal resistance threshold, R_rated is the initial internal resistance of the target battery before leaving the factory, R_EOL is the internal resistance of the target battery at the end of its life (usually 2 to 3 times the initial internal resistance before leaving the factory), and δ is the internal resistance growth tolerance coefficient. The value range of δ can be, for example, [0.8, 0.9].

[0106] It can be seen that in the above embodiment of the present application, multiple target batteries sorted in order by health scores are preliminarily classified according to the battery quantity ratio, and then the standard deviation is used to adjust the preliminary category of at least one target battery. This can make the classification of target batteries for battery balancing more reasonable, thereby further improving the efficiency of battery balancing, further reducing energy consumption during the balancing process, and further improving the battery balancing effect.

[0107] In some embodiments of the present application, reference is made to Figure 3 ,exist Figure 1 or Figure 2 Based on the illustrated embodiment, performing battery balancing between target batteries of at least two target categories may include:

[0108] 301. If a preset cell balancing condition is met, perform cell balancing between target cells of the first category and target cells of the third category.

[0109] 302. If the cell balancing condition is not met, perform cell balancing between the target cells of the first category and the target cells of the second category, and perform cell balancing between the target cells of the second category and the target cells of the third category.

[0110] In the embodiments of the present application, since the battery balancing effect is poor in some cases (for example, the energy consumption during the battery balancing process is too high, the battery balancing process takes a long time, etc.), corresponding battery balancing conditions can be set based on these situations. When the battery balancing conditions are met and when the battery balancing conditions are not met, different battery balancing strategies can be selected to improve the battery balancing effect. For example, when the battery balancing conditions are met, battery balancing is performed between the target batteries of the first category and the target batteries of the third category. When the battery balancing conditions are not met, battery balancing is performed between the target batteries of the first category and the target batteries of the second category, and between the target batteries of the second category and the target batteries of the third category. Energy transfer during battery balancing can be achieved by building an energy transfer channel through a programmable bidirectional DC / DC (Direct Current / Direct Current) converter.

[0111] In some embodiments of the present application, the battery balancing condition includes at least one of the following:

[0112] A difference in battery state of charge between at least one target battery of the first category and at least one target battery of the third category is greater than a preset first difference;

[0113] A temperature difference between at least one target battery of the first category and at least one target battery of the third category is less than or equal to a preset second difference;

[0114] The ambient temperature of the plurality of target batteries is greater than or equal to a preset temperature threshold.

[0115] For example, if the difference in battery state of charge between at least one target battery in the first category and at least one target battery in the third category is greater than a preset first difference, if this battery balancing condition is met, it indicates that the battery state of charge difference between the target batteries in the first category and the target batteries in the third category is large. Therefore, a high current can be used to perform battery balancing between the target batteries in the first category and the target batteries in the third category to quickly reduce the battery state of charge difference and shorten the balancing cycle. Furthermore, since the introduction of target batteries in the second category is avoided, the energy consumption and time consumption of the battery balancing process can be reduced. The first difference can be, for example, 20%.

[0116] For example, if the temperature difference between at least one target cell of the first category and at least one target cell of the third category is less than or equal to a preset second difference, if this cell balancing condition is not met, it indicates that the temperature difference between the target cells of the first category and the target cells of the third category is large, which is likely to trigger the battery's fuse protection mechanism. Therefore, cell balancing can be performed between the target cells of the first category and the target cells of the second category, and between the target cells of the second category and the target cells of the third category. This step-by-step balancing between the first, second, and third categories provides temperature buffering, avoids triggering the battery's fuse protection mechanism, and improves the cell balancing effect. The second difference can be, for example, 3°C.

[0117] For example, if the target battery's ambient temperature is greater than or equal to a preset temperature threshold, if the cell balancing condition is not met, cell balancing can be performed between target batteries of the first and second categories, and between target batteries of the second and third categories. This allows for current buffering through step-by-step cell balancing between the first, second, and third categories, reducing the risk of lithium dendrite growth and polarization losses, thereby improving cell balancing effectiveness. The temperature threshold can be, for example, 0°C.

[0118] In some embodiments of the present application, the step of performing battery balancing between target batteries of at least two target categories may further include: obtaining the state of charge (SOC) of the two target batteries undergoing battery balancing, and determining the larger of the SOCs of the two target batteries; if the larger SOC is greater than a preset SOC threshold, it indicates that the larger SOC is in a high range, and thus a first preset current may be used to perform battery balancing on the two target batteries; if the larger SOC is less than or equal to the preset SOC threshold, it indicates that the larger SOC is in a low range, and thus a second preset current may be used to perform battery balancing on the two target batteries. The first preset current is greater than the second preset current to reduce energy loss. The first preset current may be, for example, 100 mA, and the second preset current may be, for example, 50 mA.

[0119] In some embodiments of the present application, the step of performing cell balancing between target batteries of at least two target categories may further include: obtaining aging status values ​​of the two target batteries undergoing cell balancing, wherein the aging status value may be an average aging status value or a total aging status value of the two target batteries; if the aging status value is less than or equal to a preset aging status threshold, indicating that the degree of aging of the two target batteries undergoing cell balancing is relatively low, and thus the maximum allowable voltage difference between the two target batteries at the end of the cell balancing process may be set to a first preset voltage difference; if the aging status value is greater than the preset aging status threshold, indicating that the degree of aging of the two target batteries undergoing cell balancing is relatively high, and thus the maximum allowable voltage difference between the two target batteries at the end of the cell balancing process may be set to a second preset voltage difference. The second preset voltage difference is smaller than the first preset voltage difference to reduce accumulated unbalanced power. The first preset voltage difference may be, for example, 10 millivolts, and the second preset voltage difference may be, for example, 5 millivolts.

[0120] In some embodiments of the present application, the step of performing cell balancing between target batteries of at least two target categories may further include: after the power transfer between the two target batteries undergoing cell balancing is completed, switching to a low current mode (e.g., 5 amps) for cell balancing, and extending the balancing time window (e.g., greater than or equal to 5 hours) to optimize the cell balancing effect.

[0121] In some embodiments of the present application, when performing cell balancing between target cells of the first category and target cells of the third category, the following condition must be met: the internal resistance difference between the target cells of the first category and the target cells of the third category must be less than a preset difference threshold, thereby reducing energy transmission loss during cell balancing and improving cell balancing efficiency. The difference threshold may be, for example, 5 milliohms.

[0122] Secondly, refer to Figure 4 Based on the battery balancing control method of the above embodiment, an embodiment of the present application provides a battery balancing control device 400. The battery balancing control device 400 is configured to perform the steps of any of the above embodiments of the battery balancing control method. For example, the battery balancing control device 400 may include:

[0123] An acquisition module 401 is configured to acquire health scores of multiple target batteries;

[0124] A determination module 402 is configured to determine a standard deviation of a plurality of health scores;

[0125] A classification module 403 is configured to classify the plurality of target batteries according to their health scores using standard deviations to determine a target category for each target battery;

[0126] The balancing module 404 is configured to perform battery balancing between target batteries of at least two target categories.

[0127] In a third aspect, based on the battery balancing control method of the above embodiment, an embodiment of the present application provides a battery balancing control device, which is used to execute the steps of any embodiment of the battery balancing control method.

[0128] The battery balancing control device may include at least one of a detection module, a classification controller, and an energy transfer unit.

[0129] The detection module may include: a sensor array (including voltage, temperature, internal resistance and other sensors), a signal conditioning circuit data, an acquisition and pre-processing unit, and at least one of a parameter database.

[0130] The classification controller may include: an embedded processor, a memory, a dynamic classification algorithm library (including health score calculation, classification strategy, etc.), a communication interface (such as CAN (Controller Area Network) bus, Modbus, etc.), and at least one of a visualization terminal (optional, used to display status and receive instructions).

[0131] The energy transfer unit may include: a switch matrix, a relay, a programmable bidirectional DC / DC converter, an energy router safety protection module (such as overvoltage, overcurrent, overtemperature protection), and at least one of a connection interface with an energy storage device or a load (such as a target battery).

[0132] In a fourth aspect, embodiments of the present application provide a battery balancing control device that integrates any of the battery balancing control devices provided in the embodiments of the present application. The battery balancing control device includes a processor and a memory, wherein the memory stores a computer program configured to be executed by the processor to implement the battery balancing control method described in any of the above embodiments, for example:

[0133] Obtain health scores of multiple target batteries; determine a standard deviation of the multiple health scores; classify the multiple target batteries according to the health scores using the standard deviation to determine a target category for each target battery; and perform battery balancing between target batteries in at least two target categories.

[0134] In a fifth aspect, the embodiments of the present application provide a battery balancing control device that integrates any of the battery balancing control devices provided in the embodiments of the present application. Figure 5 , which shows a schematic structural diagram of a battery balancing control device according to an embodiment of the present application, specifically:

[0135] The battery balancing control device may include one or more processing core processors 501, one or more computer-readable storage media memories 502, a power supply 503, an input unit 504 and other components. Those skilled in the art will understand that Figure 5 The battery balancing control device structure shown in the figure does not constitute a limitation on the battery balancing control device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. Among them:

[0136] The processor 501 is the control center of the battery balancing control device. It utilizes various interfaces and circuits to connect the various components of the entire battery balancing control device. By running or executing software programs and / or modules stored in the memory 502 and accessing data stored in the memory 502, it performs various functions of the battery balancing control device and processes data, thereby providing overall monitoring of the battery balancing control device. Optionally, the processor 501 may include one or more processing cores. Preferably, the processor 501 may integrate an application processor and a modem processor, wherein the application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into the processor 501.

[0137] The memory 502 can be used to store software programs and modules. The processor 501 executes various functional applications and data processing by running the software programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area. The program storage area may store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area may store data created based on the use of the battery balancing control device. In addition, the memory 502 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device. Accordingly, the memory 502 may also include a memory controller to provide the processor 501 with access to the memory 502.

[0138] The battery balancing control device also includes a power supply 503 that supplies power to various components. Preferably, the power supply 503 can be logically connected to the processor 501 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The power supply 503 can also include one or more DC or AC power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components.

[0139] The battery balancing control device may further include an input unit 504 , which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0140] Although not shown, the battery balancing control device may further include a display unit, etc., which will not be described in detail here. Specifically, in the embodiment of the present application, the processor 501 in the battery balancing control device will load the executable files corresponding to one or more application processes into the memory 502 according to the following instructions, and the processor 501 will run the application stored in the memory 502 to implement various functions, such as:

[0141] Obtain health scores of multiple target batteries; determine a standard deviation of the multiple health scores; classify the multiple target batteries according to the health scores using the standard deviation to determine a target category for each target battery; and perform battery balancing between target batteries in at least two target categories.

[0142] In a sixth aspect, embodiments of the present application provide a computer-readable storage medium, which may include: a read-only memory (ROM), a random access memory (RAM), a disk, or an optical disk. The computer-readable storage medium stores a computer program, which is configured to be executed by a processor to implement the battery balancing control method described in any one of the above items, for example:

[0143] Obtain health scores of multiple target batteries; determine a standard deviation of the multiple health scores; classify the multiple target batteries according to the health scores using the standard deviation to determine a target category for each target battery; and perform battery balancing between target batteries in at least two target categories.

[0144] In a seventh aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, which are executed by a processor to implement the battery balancing control method as described in any one of the above items, for example:

[0145] Obtain health scores of multiple target batteries; determine a standard deviation of the multiple health scores; classify the multiple target batteries according to the health scores using the standard deviation to determine a target category for each target battery; and perform battery balancing between target batteries in at least two target categories.

[0146] The above is a detailed introduction to the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for those skilled in the art, based on the ideas of the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A battery balancing control method, characterized in that: The battery balancing control method includes: Get the health scores of multiple target batteries; determining a standard deviation of a plurality of the health scores; Using the standard deviation, classify the plurality of target batteries according to the health scores to determine a target category for each target battery; A cell balancing process is performed between target cells of at least two target categories.

2. The battery balancing control method according to claim 1, wherein: The method of utilizing the standard deviation to classify the plurality of target batteries according to the health scores to determine a target category of each target battery includes: Get the battery quantity ratio used for battery classification; Preliminarily classifying the plurality of target batteries sorted in order according to the health scores according to the battery quantity ratio to obtain a preliminary category for each target battery; The preliminary category of at least one target battery is adjusted using the standard deviation to obtain a target category for each target battery.

3. The battery balancing control method according to claim 2, wherein: The adjusting the preliminary category of at least one target battery using the standard deviation includes: Determining, from among the preliminary categories of the plurality of target batteries sequentially sorted according to the health scores, a first category and a second category that are sequentially sorted and positioned adjacently; determining a minimum value among health scores of a plurality of target batteries in the first category; determining an average of the health scores of the plurality of target batteries in the second category; If the minimum value, the mean value, and the standard deviation do not satisfy a preset first size relationship, the preliminary category of at least one target battery is adjusted so that the first size relationship is satisfied.

4. The battery balancing control method according to claim 3, wherein: The first size relationship includes that the difference between the minimum value and the mean value is greater than or equal to a first target threshold value, and the first target threshold value is determined based on the standard deviation.

5. The battery balancing control method according to claim 3, wherein: The adjusting the preliminary category of at least one target battery further includes: Determining a third category, wherein, in the preliminary categories of the plurality of target batteries sorted in sequence according to the health scores, the first category, the second category, and the third category are sorted in sequence, and the third category is adjacent to the second category; determining a maximum value among health scores of the plurality of target batteries in the third category; If the maximum value, the mean value, and the standard deviation of the health scores of the plurality of target batteries in the third category do not satisfy a preset second size relationship, the preliminary category of at least one target battery is adjusted so that the second size relationship is satisfied.

6. The battery balancing control method according to claim 5, wherein: The first size relationship includes a difference between the mean and the maximum value being greater than or equal to a second target threshold, and the second target threshold is determined based on a standard deviation of health scores of the plurality of target batteries in the third category.

7. The battery balancing control method according to claim 5, wherein: After determining the third category, the method further includes: removing target batteries that meet a preset screening condition from the plurality of target batteries of the third category; The screening conditions include that the actual measured battery capacity of the target battery is less than a preset capacity threshold, and / or the actual measured internal resistance of the target battery is greater than a preset internal resistance threshold. The capacity threshold is determined based on at least one of the factory rated capacity of the target battery, the average of the measured battery capacities of the plurality of target batteries, and the standard deviation of the measured battery capacities of the plurality of target batteries. The internal resistance threshold is determined based on the initial internal resistance of the target battery before leaving the factory and the internal resistance at the end of life.

8. The battery balancing control method according to claim 5, wherein: The performing battery balancing between target batteries of at least two target categories includes: If a preset cell balancing condition is met, performing cell balancing between the target cells of the first category and the target cells of the third category; If the cell balancing condition is not met, performing cell balancing between the target cells of the first category and the target cells of the second category, and performing cell balancing between the target cells of the second category and the target cells of the third category; The battery balancing condition includes at least one of the following: A difference in battery state of charge between at least one target battery of the first category and at least one target battery of the third category is greater than a preset first difference; A temperature difference between the at least one target battery of the first category and the at least one target battery of the third category is less than or equal to a preset second difference; The ambient temperature of the target battery is greater than or equal to a preset temperature threshold.

9. A battery balancing control device, characterized in that: The battery balancing control device includes a processor and a memory, wherein a computer program is stored in the memory, and the computer program is configured to be executed by the processor to implement the battery balancing control method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and the computer program is configured to be executed by a processor to implement the battery balancing control method according to any one of claims 1 to 8.

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