Lithium ion energy storage battery equalization management method and energy storage battery pack

Abstract

The invention discloses a lithium ion energy storage battery equalization management method and an energy storage battery pack, and the method comprises the following steps: measuring the electric quantity value of a single energy storage battery in the lithium ion energy storage battery pack, obtaining the electric quantity comparison value of the single energy storage battery, and carrying out the analysis and processing of the electric quantity comparison value of the single energy storage battery and the electric quantity value of the single energy storage battery, outputting a balance evaluation value of the lithium ion energy storage battery pack; wherein the acquisition process of the equilibrium evaluation value is that the electric quantity value is analyzed to obtain the battery with large deviation and the absolute electric quantity deviation value. According to the method, the electric quantity balance of the lithium ion energy storage battery pack is improved, the service life of the battery pack is prolonged, through refined electric quantity deviation analysis and processing, electric quantity waste is reduced, the energy utilization efficiency is improved, relative deviation, distance and temperature factors among batteries are considered, the accuracy and effectiveness of electric quantity transfer are ensured, and the method is suitable for popularization and application. And meanwhile, possible thermal risks and potential safety hazards are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of battery equalization management, and in particular to a lithium-ion energy storage battery equalization management method and an energy storage battery pack. Background Art

[0002] With the rapid development of renewable energy and the growing market of electric vehicles, lithium-ion energy storage batteries, as important energy storage and conversion devices, have attracted much attention for their performance stability and safety. However, in actual applications, due to differences in battery manufacturing processes, use environments, and usage methods, there are often certain differences in the power of each battery in a lithium-ion energy storage battery pack, namely, power imbalance. This imbalance will not only reduce the overall performance of the battery pack and shorten the battery life, but may also cause safety issues;

[0003] However, current battery balancing management methods can only roughly evaluate the overall power of the battery pack, and cannot accurately determine the power deviation of each battery. As a result, in actual operations, batteries with large power deviations cannot be discovered and processed in a timely manner, thereby affecting the overall performance and safety of the battery pack. Due to the inaccuracy of power evaluation, refined power balancing management of the battery pack cannot be achieved. Summary of the invention

[0004] The object of the present invention is to provide a lithium-ion energy storage battery equalization management method and an energy storage battery pack to solve at least one of the above-mentioned prior art problems.

[0005] In a first aspect, the present invention provides a lithium-ion energy storage battery equalization management method, characterized in that it includes the following steps:

[0006] Measure the power value of a single energy storage battery in a lithium-ion energy storage battery pack to obtain a power comparison value of the single energy storage battery;

[0007] Analyze and process the power comparison value of a single energy storage battery and the power value of a single energy storage battery, and output a balanced evaluation value of the lithium-ion energy storage battery group;

[0008] The process of obtaining the balanced evaluation value is as follows: analyzing the power value to obtain the battery with large deviation and the absolute deviation value of power, analyzing the battery with large deviation and the absolute deviation value of power, calculating the proportion of the battery with large deviation and the value of power deviation degree, performing weighted summation processing according to the proportion of the battery with large deviation and the value of power deviation degree, and calculating the balanced evaluation value;

[0009] According to the output balanced evaluation value, a comparison is made to identify whether the power of the lithium-ion energy storage battery pack is in a balanced state and generate a non-balanced signal;

[0010] Based on the non-balanced signal, extract the batteries with large deviations and obtain the corresponding absolute deviation values ​​of power. Sort the batteries with large deviations in descending order according to the absolute deviation values ​​of power, determine the power deviation sorting table, and judge the positive and negative power deviation values ​​at the same time.

[0011] The positive and negative judgment results include that the power deviation values ​​are all positive or all negative, and the power deviation values ​​contain both positive and negative values;

[0012] When the power deviation values ​​are all positive or all negative, power balance adjustment is performed according to the power deviation sorting table. When the power deviation values ​​contain both positive and negative values, the power deviation values ​​are analyzed, the power transfer judgment value is calculated, and compared with the standard range of the power transfer judgment value. If the power transfer judgment value is within the standard range of the power transfer judgment value, a high power transfer signal is generated. If the power transfer judgment value is within the standard range of the power transfer judgment value, a power difference signal is generated.

[0013] Based on the power difference signal, power balancing adjustment is performed according to the power deviation sorting table;

[0014] Based on the power transfer signal, power transfer balancing adjustment is performed.

[0015] In a second aspect, the present invention provides a lithium-ion energy storage battery pack, including a lithium-ion energy storage battery and a lithium-ion energy storage battery balancing management system;

[0016] Among them, the lithium-ion energy storage battery equalization management system includes:

[0017] Electricity comparison value acquisition module: measures the electricity value of a single energy storage battery in a lithium-ion energy storage battery pack and obtains the electricity comparison value of the single energy storage battery;

[0018] Balanced evaluation value acquisition module: analyzes and processes the power comparison value of a single energy storage battery and the power value of a single energy storage battery, and outputs a balanced evaluation value of the lithium-ion energy storage battery group;

[0019] The process of obtaining the balanced evaluation value is as follows: analyzing the power value to obtain the battery with large deviation and the absolute deviation value of power, analyzing the battery with large deviation and the absolute deviation value of power, calculating the proportion of the battery with large deviation and the value of power deviation degree, performing weighted summation processing according to the proportion of the battery with large deviation and the value of power deviation degree, and calculating the balanced evaluation value;

[0020] Balance state judgment module: Based on the output balance evaluation value, a comparison is made to identify whether the power of the lithium-ion energy storage battery pack is in a balanced state and generate a non-balanced signal;

[0021] Power deviation judgment module: Based on the non-balanced signal, extract the batteries with large deviations and obtain the corresponding absolute power deviation values. Sort the batteries with large deviations in descending order according to the absolute power deviation values, determine the power deviation sorting table, and judge the positive and negative power deviation values ​​at the same time;

[0022] The positive and negative judgment results include that the power deviation values ​​are all positive or all negative, and the power deviation values ​​contain both positive and negative values;

[0023] When the power deviation values ​​are all positive or all negative, power balance adjustment is performed according to the power deviation sorting table. When the power deviation values ​​contain both positive and negative values, the power deviation values ​​are analyzed, the power transfer judgment value is calculated, and compared with the standard range of the power transfer judgment value. If the power transfer judgment value is within the standard range of the power transfer judgment value, a high power transfer signal is generated. If the power transfer judgment value is within the standard range of the power transfer judgment value, a power difference signal is generated.

[0024] Based on the power difference signal, power balancing adjustment is performed according to the power deviation sorting table;

[0025] Power transfer module: performs power transfer balance adjustment based on the power transfer signal.

[0026] Beneficial effects of the present invention:

[0027] 1. The present invention measures and records the power value of each single energy storage battery in the lithium-ion energy storage battery pack, analyzes the power value, and calculates the power comparison value, so that the calculated power comparison value can be further analyzed to provide a basis for judging whether the battery power values ​​in the energy storage battery pack are balanced, and by calculating the absolute power deviation value and the power deviation degree value, the power deviation of each battery in the lithium-ion energy storage battery pack is accurately evaluated, so as to more accurately judge the power balance state of the battery pack, and the battery with large deviation can be managed in a targeted manner;

[0028] 2. The present invention improves the power balance of lithium-ion energy storage battery packs, extends the service life of the battery pack, reduces power waste and improves energy efficiency through refined power deviation analysis and processing, takes into account the relative deviation, distance and temperature factors between batteries, ensures the accuracy and effectiveness of power transfer, and avoids possible thermal risks and safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 It is a flow chart of the lithium-ion energy storage battery equalization management method of the present invention;

[0031] Figure 2 It is a schematic diagram of a lithium-ion energy storage battery balancing management system in a lithium-ion energy storage battery pack of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0033] Embodiment 1

[0034] like Figure 1 As shown, the lithium-ion energy storage battery balancing management method provided by the embodiment of the present invention specifically includes the following steps:

[0035] S1: Measure the power value of a single energy storage battery in a lithium-ion energy storage battery pack to obtain a power comparison value of the single energy storage battery;

[0036] Ensure that the lithium-ion energy storage battery pack is in a stable state and connect the power measurement equipment. Use the power measurement equipment to measure the power of each energy storage battery in turn and record the power value.

[0037] Among them, electrical quantity measuring equipment includes but is not limited to a coulomb counter;

[0038] In some embodiments, the recorded power values ​​are divided into numerical intervals and a histogram is drawn, wherein the horizontal axis of the histogram represents the range of power values, and the vertical axis represents the number of single energy storage batteries having power values ​​within the range;

[0039] Find the interval with the largest number of single energy storage batteries, which is the interval where the peak value is located. This interval is the area where the power value is concentrated;

[0040] Extract the power value of a single energy storage battery group in the interval where the peak value is located, sum and average it, and obtain the power comparison value of a single energy storage battery;

[0041] It should be noted that if the power comparison value of a single energy storage battery is not an integer, it is rounded off to an integer;

[0042] In this embodiment, for example, the lithium-ion energy storage battery pack includes 10 single energy storage batteries, wherein the power values ​​of the single energy storage batteries are: battery 1: 55%, battery 2: 53%, battery 3: 56%, battery 4: 44%, battery 5: 59%, battery 6: 48%, battery 7: 55%, battery 8: 50%, battery 9: 45%, battery 10: 51%;

[0043] Divide the recorded power value into numerical intervals, for example, divide it into intervals of 4%, and the power value intervals are 40% to 44%, 45% to 49%, 50% to 54%, 55% to 59%, etc.;

[0044] Draw a histogram, where the horizontal axis represents the range of power values ​​(such as 40% to 44%, 45% to 49%, 50% to 54%, 55% to 59%, etc.), and the vertical axis represents the number of single energy storage batteries with power values ​​within the range;

[0045] It can be seen that the number of single energy storage batteries is the highest in the range of 55% to 59%, which is the range where the peak value is located;

[0046] The power values ​​(55%, 56%, 59%, 55%) of a single energy storage battery group in the peak interval (55% to 59%) are extracted, and the sum is taken as the average value of 56.52%, that is, the power comparison value is 56%;

[0047] In this embodiment, the power value of each single energy storage battery in the lithium-ion energy storage battery pack is measured and recorded, the power value is analyzed, and a power comparison value is calculated, so that the calculated power comparison value can be further analyzed to provide a basis for judging whether the battery power values ​​in the energy storage battery pack are balanced.

[0048] Embodiment 2

[0049] like Figure 1 As shown, the lithium-ion energy storage battery balancing management method provided by the embodiment of the present invention specifically includes the following steps:

[0050] S2: Analyze and process the power comparison value of a single energy storage battery and the power value of a single energy storage battery, and output a balanced evaluation value of the lithium-ion energy storage battery group;

[0051] In some embodiments, the power value and power comparison value of a single energy storage battery are obtained, the power value of the single energy storage battery is respectively calculated with the power comparison value to obtain a power deviation value, and the power deviation value is taken as an absolute value to obtain a power absolute deviation value;

[0052] The absolute deviation value of the electric quantity is compared with the absolute deviation threshold of the electric quantity, wherein the absolute deviation threshold of the electric quantity is a critical value used to judge the degree of deviation between the electric quantity value and the electric quantity comparison value, and is summarized and set by technicians in this field based on historical experimental data and experience;

[0053] If the absolute deviation value of the power is less than or equal to the absolute deviation threshold of the power, the battery with small deviation is marked; if the absolute deviation value of the power is greater than the absolute deviation threshold of the power, the battery with large deviation is marked;

[0054] Count the number of batteries with large deviations, and perform ratio processing on the number of batteries with large deviations and the total number of batteries to obtain the proportion of batteries with large deviations;

[0055] Extract the absolute deviation value of the power corresponding to the battery with large deviation, calculate the difference between the absolute deviation value of the power and the absolute deviation threshold of the power, calculate the ratio of the difference to the absolute deviation threshold of the power to obtain the absolute deviation difference ratio of the power, sum the absolute deviation difference ratios of the power to obtain the power deviation degree value;

[0056] A weighted summation process is performed based on the percentage of batteries with large deviations and the degree of power deviation to calculate a balanced evaluation value;

[0057] In this embodiment, the calculation formula of the balanced evaluation value JH is JH=a1*ZB+a2*CD, where ZB represents the proportion of batteries with large deviations, CD represents the degree of power deviation, a1 and a2 are weight coefficients, and the value of a1 is 0.53 and the value of a2 is 0.47;

[0058] S3: Based on the output balanced evaluation value, a comparison is made to identify whether the power of the lithium-ion energy storage battery pack is in a balanced state;

[0059] In some embodiments, a balance evaluation value is obtained, and the balance evaluation value is compared with a balance evaluation threshold, wherein the balance evaluation value is summarized and set by a person skilled in the art based on historical experimental data and experience;

[0060] If the balance evaluation value is less than or equal to the balance evaluation threshold, it means that the battery power in the energy storage battery group is in a balanced state, and a balance signal is generated;

[0061] If the balance evaluation value is greater than the balance evaluation threshold, it means that the battery power in the energy storage battery group is in an unbalanced state, and an unbalanced signal is generated;

[0062] In this embodiment: the power value and power comparison value of a single energy storage battery are obtained, and analyzed and processed, batteries with small deviations and batteries with large deviations are marked, the number of batteries with large deviations is counted, and the proportion of batteries with large deviations is calculated, the absolute power deviation value of the batteries with large deviations is extracted, and the absolute power deviation difference ratio is further calculated, and the power deviation degree value is obtained by summing up, and a weighted summation process is performed according to the proportion of batteries with large deviations and the power deviation degree value to calculate a balanced evaluation value, and the balanced evaluation value is compared with a preset balanced evaluation threshold value, and a balanced signal or a non-balanced signal is generated according to the comparison result to indicate the power balanced state of the energy storage battery group, so that the power deviation of each battery in the lithium-ion energy storage battery group is accurately evaluated by calculating the absolute power deviation value and the power deviation degree value, so as to more accurately judge the power balanced state of the battery group, and the batteries with large deviations can be managed in a targeted manner.

[0063] Embodiment 3

[0064] like Figure 1 As shown, the lithium-ion energy storage battery balancing management method provided by the embodiment of the present invention specifically includes the following steps:

[0065] S4: Based on the non-balanced signal, the power deviation value of the battery with large deviation is analyzed and processed to determine the power deviation ranking table, and the positive and negative power deviation value is judged;

[0066] In some embodiments, based on the non-balanced signal, a battery with a large deviation is extracted, and a corresponding power deviation value and a power absolute deviation value are obtained;

[0067] The batteries with large deviations are sorted in descending order according to the absolute deviation values ​​of power, and a power deviation sorting table is obtained;

[0068] Determine the positive or negative value of the power deviation value of the battery with large deviation;

[0069] If the power deviation values ​​are all positive or all negative, the battery with a large deviation is charged or discharged to the power comparison value in the order of the power deviation sorting table, and the equalization evaluation value is recalculated after each charging or discharging until the equalization evaluation value is less than or equal to the equalization evaluation threshold, and the power equalization adjustment is completed;

[0070] If the power deviation value contains both positive and negative values, the battery with a large deviation corresponding to the negative power deviation value is marked as a low-power battery, and the battery with a large deviation corresponding to the positive power deviation value is marked as a high-power battery;

[0071] The power deviation values ​​of the low-power batteries are summed up, and the absolute value of the sum is taken to obtain the total low-power deviation value, and the power deviation values ​​of the high-power batteries are summed up to obtain the total high-power deviation value;

[0072] The difference between the total value of high power deviation and the total value of low power deviation is calculated to obtain the high and low power deviation degree value, and the high and low power deviation degree value is processed with the power comparison value to obtain the high and low power deviation degree ratio;

[0073] Count the number of high-power batteries and the number of low-power batteries, calculate the difference, take the absolute value of the difference to obtain the high- and low-power quantity deviation value, and perform ratio processing on the high- and low-power quantity deviation value and the total number of batteries in the lithium-ion energy storage battery pack to obtain the high- and low-power quantity deviation ratio;

[0074] The power transfer judgment value is calculated by performing weighted summation processing according to the high and low power deviation degree ratio and the high and low power quantity deviation ratio;

[0075] In this embodiment, the calculation formula of the power transfer judgment value PD is PD=s1*DC+s2*SP, wherein DC represents the high and low power deviation ratio, SP represents the high and low power quantity deviation ratio, s1 is 0.56, and s2 is 0.44;

[0076] Compare the power transfer judgment value with the power transfer judgment value standard range, wherein the high and low power deviation degree standard range is summarized and set by technical personnel in this field based on historical multiple test data;

[0077] If the power transfer judgment value is within the power transfer judgment value standard range, the difference between the high power deviation total value and the low power deviation total value is small, and a power transfer signal is generated;

[0078] If the power transfer judgment value is within the power transfer judgment value standard range, the high power deviation total value is significantly different from the low power deviation total value, and a power difference signal is generated;

[0079] Based on the power difference signal, the battery with large deviation is charged or discharged to the power comparison value in the order of the power deviation sorting table, and the equalization evaluation value is recalculated after each charging or discharging until the equalization evaluation value is less than or equal to the equalization evaluation threshold, and the power equalization adjustment is completed;

[0080] S5: Performing power transfer balancing adjustment based on the power transfer signal;

[0081] In some embodiments, based on the power transfer signal, a high power battery and a low power battery are extracted to obtain corresponding power absolute deviation values;

[0082] Sort the absolute deviation values ​​of the power corresponding to the high-power batteries in descending order to obtain a high-power sorting table;

[0083] According to the order of the high-power ranking table, the transfer target judgment coefficient of each high-power battery is calculated in turn to determine the corresponding low-power transfer target;

[0084] Among them, the process of obtaining the transfer target judgment coefficient is:

[0085] For a high-capacity battery, the difference between the absolute deviation value of the power corresponding to the high-capacity battery and the absolute deviation value of the power of the low-capacity battery is taken as the absolute value to obtain the relative deviation value, and the relative deviation value is compared with the power comparison value to obtain the relative deviation ratio;

[0086] Calculate the minimum connection distance between the high-power battery and each low-power battery, mark it as a relative distance value, calculate the difference between the minimum distance value and the relative distance value, take the absolute value of the difference, and perform ratio processing on the relative distance difference and the minimum distance value to obtain a relative distance ratio;

[0087] Where necessary, the minimum distance is the minimum distance between single energy storage batteries in a lithium-ion energy storage battery pack;

[0088] Obtain the temperature value data of the temperature monitoring point on the relative distance connection line, and sum and average them to obtain the temperature mean value, calculate the difference between the temperature mean value and the temperature standard value, take the absolute value of the difference to obtain the temperature deviation value, and perform ratio processing on the temperature deviation value and the temperature standard value to obtain the temperature deviation ratio;

[0089] It should be noted that there are several temperature monitoring points in the lithium-ion energy storage battery pack to monitor the internal temperature;

[0090] The temperature standard value is calculated by summing up the maximum value and the minimum value of the temperature standard range and taking the average value. The temperature standard range is set by technicians in this field based on historical experimental data.

[0091] The relative deviation ratio, relative distance ratio and temperature deviation ratio corresponding to the same low-power battery are weighted and summed to obtain the transfer target judgment coefficient;

[0092] In this embodiment, the calculation formula of the transfer target judgment coefficient ZY is: ZY=m1*XP+m2*XJ+m3*WJ, where XP represents the relative deviation ratio, XJ represents the relative distance ratio, WJ represents the temperature deviation ratio, m1, m2, and m3 are weight coefficients, and the value of m1 is 0.36, the value of m2 is 0.33, and the value of m3 is 0.31;

[0093] Extract the minimum value of all low-battery transfer target judgment coefficients, and use the low-battery corresponding to the minimum value as the transfer target of the corresponding high-battery;

[0094] It should be noted that if there are multiple low-battery transfer target judgment coefficients and they are the smallest, the one with the smallest relative deviation ratio is selected. If the relative deviation ratios are also tied for the smallest, the one with the smallest relative distance ratio is selected. If the relative distance ratios are also tied for the smallest, the one with the smallest temperature deviation ratio is selected. If they are all tied for the smallest, a low-battery battery is randomly selected as the transfer target.

[0095] It should be noted that, after the first high-power battery in the high-power ranking table selects a transfer target from the low-power battery, the second high-power battery in the high-power ranking table selects a transfer target from the remaining low-power batteries, and so on;

[0096] After determining the transfer targets of all high-power batteries, power transfer is performed, thereby increasing balance and reducing power waste;

[0097] This embodiment: This process describes a method for balancing the power of batteries with large deviations in a lithium-ion energy storage battery pack based on a non-balanced signal. First, the batteries with large deviations are extracted and a power deviation ranking table is determined. Then, the positive and negative values ​​of the power deviation values ​​are judged. Different strategies are adopted according to the positive and negative conditions of the power deviation values. If they are all of the same sign, they are directly charged or discharged to the power comparison value. If they contain different signs, the power transfer judgment value is obtained by calculating the high and low power deviation degree ratio and the quantity deviation ratio, and the power transfer judgment value is obtained. Based on this, it is decided whether to perform power transfer balancing adjustment or direct charging / discharging adjustment. In the power transfer balancing adjustment, the power transfer target of the high power battery is determined by calculating the transfer target judgment coefficient to achieve effective power transfer and balancing, thereby improving the power balance of the lithium-ion energy storage battery pack and extending the service life of the battery pack. Through refined power deviation analysis and processing, power waste is reduced, energy utilization efficiency is improved, and relative deviations, distances and temperature factors between batteries are considered to ensure the accuracy and effectiveness of power transfer, while avoiding possible thermal risks and safety hazards.

[0098] Embodiment 4

[0099] like Figure 2 As shown, the lithium-ion energy storage battery pack provided by the embodiment of the present invention includes a lithium-ion energy storage battery and a lithium-ion energy storage battery balancing management system;

[0100] Among them, the lithium-ion energy storage battery equalization management system includes:

[0101] Electricity comparison value acquisition module: measures the electricity value of a single energy storage battery in a lithium-ion energy storage battery pack and obtains the electricity comparison value of the single energy storage battery;

[0102] Balanced evaluation value acquisition module: analyzes and processes the power comparison value of a single energy storage battery and the power value of a single energy storage battery, and outputs a balanced evaluation value of the lithium-ion energy storage battery group;

[0103] Balance state judgment module: Based on the output balance evaluation value, a comparison is made to identify whether the power of the lithium-ion energy storage battery pack is in a balanced state;

[0104] Power deviation judgment module: Based on the non-balanced signal, analyze and process the power deviation value of the battery with large deviation, determine the power deviation ranking table, and judge the positive and negative power deviation value;

[0105] Power transfer module: performs power transfer balance adjustment based on the power transfer signal.

[0106] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0107] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0108] In the embodiments disclosed in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0109] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0110] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0111] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A lithium-ion energy storage battery equalization management method, characterized in that: The following steps are involved: Measure the power value of a single energy storage battery in a lithium-ion energy storage battery pack to obtain a power comparison value of the single energy storage battery; Analyze and process the power comparison value of a single energy storage battery and the power value of a single energy storage battery, and output a balanced evaluation value of the lithium-ion energy storage battery group; The process of obtaining the balanced evaluation value is as follows: analyzing the power value to obtain the battery with large deviation and the absolute deviation value of power, analyzing the battery with large deviation and the absolute deviation value of power, calculating the proportion of the battery with large deviation and the value of power deviation degree, performing weighted summation processing according to the proportion of the battery with large deviation and the value of power deviation degree, and calculating the balanced evaluation value; According to the output balanced evaluation value, a comparison is made to identify whether the power of the lithium-ion energy storage battery pack is in a balanced state and generate a non-balanced signal; Based on the non-balanced signal, extract the batteries with large deviations and obtain the corresponding absolute deviation values ​​of power. Sort the batteries with large deviations in descending order according to the absolute deviation values ​​of power, determine the power deviation sorting table, and judge the positive and negative power deviation values ​​at the same time. The positive and negative judgment results include that the power deviation values ​​are all positive or all negative, and the power deviation values ​​contain both positive and negative values; When the power deviation values ​​are all positive or all negative, power balance adjustment is performed according to the power deviation sorting table. When the power deviation values ​​contain both positive and negative values, the power deviation values ​​are analyzed, the power transfer judgment value is calculated, and compared with the standard range of the power transfer judgment value. If the power transfer judgment value is within the standard range of the power transfer judgment value, a high power transfer signal is generated. If the power transfer judgment value is within the standard range of the power transfer judgment value, a power difference signal is generated. Based on the power difference signal, power balancing adjustment is performed according to the power deviation sorting table; Based on the power transfer signal, power transfer balancing adjustment is performed.

2. The lithium-ion energy storage battery equalization management method according to claim 1, characterized in that: The process of obtaining the power comparison value is as follows: Use the power measurement equipment in turn to measure the power of a single energy storage battery and record the power value; The recorded power values ​​are divided into numerical intervals and a histogram is drawn. The horizontal axis of the histogram represents the range of power values, and the vertical axis represents the number of single energy storage batteries with power values ​​within the range. Find the interval with the largest number of single energy storage batteries, which is the interval where the peak value is located. This interval is the area where the power value is concentrated; The power values ​​of a single energy storage battery group in the interval where the peak value is located are extracted, summed and averaged to obtain the power comparison value of the single energy storage battery.

3. The lithium-ion energy storage battery equalization management method according to claim 1, characterized in that: The percentage of batteries with large deviation and the degree of power deviation are as follows: Get the absolute deviation value of the battery with large deviation and the power; Count the number of batteries with large deviations, and perform ratio processing on the number of batteries with large deviations and the total number of batteries to obtain the proportion of batteries with large deviations; Extract the absolute deviation value of the power corresponding to the battery with large deviation, calculate the difference between the absolute deviation value and the absolute deviation threshold of the power, calculate the ratio of the difference to the absolute deviation threshold of the power to obtain the absolute deviation difference ratio of the power, sum the absolute deviation difference ratios of the power to obtain the power deviation degree value.

4. The lithium-ion energy storage battery equalization management method according to claim 3, characterized in that: The process of obtaining the absolute deviation value of the battery with large deviation and the power is as follows: Obtaining the power value and power comparison value of a single energy storage battery, performing difference calculation between the power value of the single energy storage battery and the power comparison value to obtain a power deviation value, taking the absolute value of the power deviation value to obtain a power absolute deviation value; Compare the absolute deviation value of the power quantity with the absolute deviation threshold of the power quantity; If the absolute deviation value of the battery power is greater than the absolute deviation threshold of the battery power, it is marked as a battery with large deviation.

5. The lithium-ion energy storage battery equalization management method according to claim 1, characterized in that: The process of generating the unbalanced signal is as follows: Obtaining a balance evaluation value, and comparing the balance evaluation value with a balance evaluation threshold; If the equalization evaluation value is greater than the equalization evaluation threshold, a non-equalization signal is generated.

6. The lithium-ion energy storage battery equalization management method according to claim 1, characterized in that: When the power deviation values ​​are all positive or all negative, the process of power balancing adjustment is as follows according to the power deviation sorting table: The battery with large deviation is charged or discharged to the power comparison value in the order of the power deviation sorting table, and the balance evaluation value is recalculated after each charging or discharging until the balance evaluation value is less than or equal to the balance evaluation threshold, and the power balance adjustment is completed.

7. The lithium-ion energy storage battery equalization management method according to claim 1, characterized in that: The process of obtaining the power transfer judgment value is as follows: If the power deviation value contains both positive and negative values, the battery with a large deviation corresponding to the negative power deviation value is marked as a low-power battery, and the battery with a large deviation corresponding to the positive power deviation value is marked as a high-power battery; The power deviation values ​​of the low-power batteries are summed up, and the absolute value of the sum is taken to obtain the total low-power deviation value, and the power deviation values ​​of the high-power batteries are summed up to obtain the total high-power deviation value; The difference between the total value of high power deviation and the total value of low power deviation is calculated to obtain the high and low power deviation degree value, and the high and low power deviation degree value is processed with the power comparison value to obtain the high and low power deviation degree ratio; Count the number of high-power batteries and the number of low-power batteries, calculate the difference, take the absolute value of the difference to obtain the high- and low-power quantity deviation value, and perform ratio processing on the high- and low-power quantity deviation value and the total number of batteries in the lithium-ion energy storage battery pack to obtain the high- and low-power quantity deviation ratio; The power transfer judgment value is calculated by performing weighted summation processing based on the high and low power deviation degree ratio and the high and low power quantity deviation ratio.

8. The lithium-ion energy storage battery equalization management method according to claim 7, characterized in that: Based on the power difference signal and according to the power deviation sorting table, the process of power balancing adjustment is as follows: Based on the power difference signal, the battery with large deviation is charged or discharged to the power comparison value in the order of the power deviation sorting table, and the equalization evaluation value is recalculated after each charging or discharging until the equalization evaluation value is less than or equal to the equalization evaluation threshold, and the power equalization adjustment is completed.

9. The lithium-ion energy storage battery equalization management method according to claim 8, characterized in that: The process of performing power transfer balancing adjustment based on the power transfer signal is as follows: Based on the power transfer signal, high-power batteries and low-power batteries are extracted to obtain the corresponding power absolute deviation values; Sort the absolute deviation values ​​of the power corresponding to the high-power batteries in descending order to obtain a high-power sorting table; According to the order of the high-power ranking table, the transfer target judgment coefficient of each high-power battery is calculated in turn to determine the corresponding low-power transfer target; Among them, the process of obtaining the transfer target judgment coefficient is: For a high-capacity battery, the difference between the absolute deviation value of the power corresponding to the high-capacity battery and the absolute deviation value of the power of the low-capacity battery is taken as the absolute value to obtain the relative deviation value, and the relative deviation value is compared with the power comparison value to obtain the relative deviation ratio; Calculate the minimum connection distance between the high-power battery and each low-power battery, mark it as a relative distance value, calculate the difference between the minimum distance value and the relative distance value, take the absolute value of the difference, and perform ratio processing on the relative distance difference and the minimum distance value to obtain a relative distance ratio; Obtain the temperature value data of the temperature monitoring point on the relative distance connection line, and sum and average them to obtain the temperature mean value, calculate the difference between the temperature mean value and the temperature standard value, take the absolute value of the difference to obtain the temperature deviation value, and perform ratio processing on the temperature deviation value and the temperature standard value to obtain the temperature deviation ratio; The relative deviation ratio, relative distance ratio and temperature deviation ratio corresponding to the same low-power battery are weighted and summed to obtain the transfer target judgment coefficient; The minimum value among all low-battery transfer target judgment coefficients is extracted, and the low-battery corresponding to the minimum value is used as the transfer target of the corresponding high-battery.

10. A lithium-ion energy storage battery pack, wherein the lithium-ion energy storage battery pack executes the lithium-ion energy storage battery equalization management method according to claims 1 to 9, characterized in that: Including lithium-ion energy storage batteries and lithium-ion energy storage battery equalization management systems; Among them, the lithium-ion energy storage battery equalization management system includes: Electricity comparison value acquisition module: measures the electricity value of a single energy storage battery in a lithium-ion energy storage battery pack and obtains the electricity comparison value of the single energy storage battery; Balanced evaluation value acquisition module: analyzes and processes the power comparison value of a single energy storage battery and the power value of a single energy storage battery, and outputs a balanced evaluation value of the lithium-ion energy storage battery group; The process of obtaining the balanced evaluation value is as follows: analyzing the power value to obtain the battery with large deviation and the absolute deviation value of power, analyzing the battery with large deviation and the absolute deviation value of power, calculating the proportion of the battery with large deviation and the value of power deviation degree, performing weighted summation processing according to the proportion of the battery with large deviation and the value of power deviation degree, and calculating the balanced evaluation value; Balance state judgment module: Based on the output balance evaluation value, a comparison is made to identify whether the power of the lithium-ion energy storage battery pack is in a balanced state and generate a non-balanced signal; Power deviation judgment module: Based on the non-balanced signal, extract the batteries with large deviations and obtain the corresponding absolute power deviation values. Sort the batteries with large deviations in descending order according to the absolute power deviation values, determine the power deviation sorting table, and judge the positive and negative power deviation values ​​at the same time; The positive and negative judgment results include that the power deviation values ​​are all positive or all negative, and the power deviation values ​​contain both positive and negative values; When the power deviation values ​​are all positive or all negative, power balance adjustment is performed according to the power deviation sorting table. When the power deviation values ​​contain both positive and negative values, the power deviation values ​​are analyzed, the power transfer judgment value is calculated, and compared with the standard range of the power transfer judgment value. If the power transfer judgment value is within the standard range of the power transfer judgment value, a high power transfer signal is generated. If the power transfer judgment value is within the standard range of the power transfer judgment value, a power difference signal is generated. Based on the power difference signal, power balancing adjustment is performed according to the power deviation sorting table; Power transfer module: performs power transfer balance adjustment based on the power transfer signal.

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