Electrochemical energy storage system battery charging effect evaluation method and device, and electronic equipment

Abstract

The invention discloses a battery charging effect evaluation scheme for an electrochemical energy storage system, and the scheme comprises the steps: obtaining a first battery voltage data set corresponding to each first continuous moment before the charging of a battery unit, and a second battery voltage data set corresponding to each second continuous moment after the charging from an energy storage power station monitoring system; determining a battery voltage consistency value of the battery unit at each first continuous moment and each second continuous moment based on each first battery voltage data set and each second battery voltage data set; calculating a first T statistic based on the battery voltage consistency values of the first continuous moments and the second continuous moments; determining a second T statistical magnitude based on a degree of freedom and a t test critical value table obtained by calculating the number of significance level values and battery voltage consistency values set in the current evaluation; based on the magnitude relationship between the first T statistic and the second T statistic, the battery charging effect of the electrochemical energy storage system is determined, the evaluation efficiency is high, and the analysis result is more reliable.

Description

Technical Field

[0001] The present invention relates to the field of new energy technology, and in particular to a method and device for evaluating the charging effect of a battery in an electrochemical energy storage system, and electronic equipment. Background Art

[0002] There are a large number of electrochemical battery cell equipment in the electrochemical energy storage power station. In the daily operation of the electrochemical energy storage power station, it is necessary to pay attention to the difference between the voltage values ​​of the batteries (also called cells). Once the voltage difference of the battery cells in the same cluster is too large, the specified battery pack needs to be recharged. After the battery recharge operation, the operation and maintenance personnel need to evaluate the actual effect of this recharge operation.

[0003] At present, the common battery charging effect analysis is mainly to observe whether the voltage difference of battery cells in each battery pack / battery cluster is significantly reduced. This charging effect analysis method relies on the experience of operation and maintenance engineers and cannot be quickly and effectively promoted. In addition, it is inefficient and the reliability of the analysis results is poor because it relies on manual execution. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method and device for evaluating the charging effect of a battery in an electrochemical energy storage system, and an electronic device, which can solve the problems in the prior art that the charging effect analysis of a battery in an electrochemical energy storage system relies on manual execution with low efficiency and poor reliability of the analysis results.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] An embodiment of the present invention provides a method for evaluating the battery charging effect of an electrochemical energy storage system, which includes:

[0007] Acquire a first battery voltage data set corresponding to each first continuous moment before the battery unit is recharged, and a second battery voltage data set corresponding to each second continuous moment after the battery unit is recharged from the energy storage power station monitoring system; wherein the battery unit includes a plurality of batteries;

[0008] Determining a battery voltage consistency value of the battery cell at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets;

[0009] Calculating a first T statistic based on the battery voltage consistency values ​​at each of the first consecutive moments and each of the second consecutive moments;

[0010] Determine the second T statistic based on the significance level value set for this evaluation, the degrees of freedom calculated from the number of battery voltage consistency values, and the t-test critical value table;

[0011] Based on the magnitude relationship between the first T statistic and the second T statistic, the battery charging effect of the electrochemical energy storage system is determined.

[0012] Optionally, the step of determining the battery voltage consistency value of the battery cell at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets includes:

[0013] For each sub-battery voltage data set corresponding to each moment, calculating a standard deviation and an average value of the sub-battery voltage data set;

[0014] calculating a quotient of the standard deviation and the mean;

[0015] The battery voltage consistency value corresponding to the moment is determined according to the quotient.

[0016] Optionally, the step of calculating a first T statistic based on the battery voltage consistency value at each of the first consecutive moments and each of the second consecutive moments includes:

[0017] Calculating a first average value and a first sample variance of the battery voltage consistency values ​​corresponding to each of the first continuous moments, wherein a battery voltage consistency value corresponding to each of the first continuous moments is a sample;

[0018] Calculate a second average value and a second sample variance of the battery voltage consistency values ​​corresponding to each of the second consecutive moments;

[0019] Determine a first number of battery voltage consistency values ​​corresponding to each of the first consecutive moments and a second number of battery voltage consistency values ​​corresponding to the second consecutive moments;

[0020] The first T statistic is calculated according to the first mean value, the first sample variance, the second mean value, the second sample variance, the first quantity, and the second quantity.

[0021] Optionally, before the step of acquiring the first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged from the energy storage power station monitoring system, the method further includes:

[0022] Set the confidence level, where the confidence level is the difference between the value 1 and the significance level;

[0023] Establishing a null hypothesis, wherein the null hypothesis is that the voltage consistency of the battery cell after the charging operation is lower than the voltage consistency before the charging operation;

[0024] An alternative hypothesis is established, wherein the alternative hypothesis is that the voltage consistency of the battery cell after the power replenishment operation is higher than or equal to the voltage consistency before the power replenishment operation.

[0025] Optionally, based on the magnitude relationship between the first T statistic and the second T statistic, the step of determining the battery charging effect of the electrochemical energy storage system includes:

[0026] When the first T statistic is less than or equal to the second T statistic, determining not to reject the null hypothesis established in this evaluation;

[0027] When the first T statistic is greater than the second T statistic, it is determined to reject the null hypothesis established in this evaluation.

[0028] The embodiment of the present invention further provides a device for evaluating the battery charging effect of an electrochemical energy storage system, wherein the device comprises:

[0029] An acquisition module, used to acquire, from the energy storage power station monitoring system, a first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged, and a second battery voltage data set corresponding to each second consecutive moment after the battery unit is recharged; wherein the battery unit includes a plurality of batteries;

[0030] a consistency determination module, configured to determine a battery voltage consistency value of the battery unit at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets;

[0031] A first statistic determination module, configured to calculate a first T statistic based on the battery voltage consistency values ​​at each of the first consecutive moments and each of the second consecutive moments;

[0032] A second statistic determination module, used to determine a second T statistic based on the significance level value set for this evaluation, the degrees of freedom calculated from the number of battery voltage consistency values, and a t-test critical value table;

[0033] The power replenishment effect determination module is used to determine the power replenishment effect of the battery of the electrochemical energy storage system based on the magnitude relationship between the first T statistic and the second T statistic.

[0034] Optionally, the consistency determination module includes:

[0035] The first submodule is used to calculate the standard deviation and average value of the sub-battery voltage data set for the sub-battery voltage data set corresponding to each moment;

[0036] A second submodule is used to calculate the quotient of the standard deviation and the mean value;

[0037] The third submodule is used to determine the battery voltage consistency value corresponding to the moment according to the quotient.

[0038] Optionally, the first statistic determination module includes:

[0039] a fourth submodule, configured to calculate a first average value and a first sample variance of the battery voltage consistency values ​​corresponding to each of the first continuous moments, wherein a battery voltage consistency value corresponding to each of the first continuous moments is a sample;

[0040] A fifth submodule, configured to calculate a second average value and a second sample variance of the battery voltage consistency values ​​corresponding to each of the second consecutive moments;

[0041] A sixth submodule, configured to determine a first number of battery voltage consistency values ​​corresponding to each of the first consecutive moments and a second number of battery voltage consistency values ​​corresponding to the second consecutive moments;

[0042] A seventh submodule is configured to calculate the first T statistic according to the first mean value, the first sample variance, the second mean value, the second sample variance, the first quantity, and the second quantity.

[0043] Optionally, the device further comprises:

[0044] A setting module, used to set a confidence level before the acquisition module acquires the first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged from the energy storage power station monitoring system, wherein the confidence level is the difference between the value 1 and the significance level value;

[0045] A first establishing module is used to establish an original hypothesis, wherein the original hypothesis is that the voltage consistency of the battery unit after the power replenishment operation is lower than the voltage consistency before the power replenishment operation;

[0046] The second establishing module is used to establish an alternative hypothesis, wherein the alternative hypothesis is that the voltage consistency of the battery unit after the power replenishment operation is higher than or equal to the voltage consistency before the power replenishment operation.

[0047] Optionally, the power replenishment effect determination module includes:

[0048] An eighth submodule, configured to determine not to reject the null hypothesis established in this evaluation when the first T statistic is less than or equal to the second T statistic;

[0049] The ninth submodule is used to determine whether to reject the null hypothesis established in this evaluation when the first T statistic is greater than the second T statistic.

[0050] An embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of any one of the above-mentioned methods for evaluating the battery charging effect of an electrochemical energy storage system are implemented.

[0051] The embodiment of the present application provides an electrochemical energy storage system battery recharging effect evaluation scheme, which obtains a first battery voltage data set corresponding to each first continuous moment before the battery unit is recharged, and a second battery voltage data set corresponding to each second continuous moment after the recharging from the energy storage power station monitoring system; based on each first battery voltage data set and each second battery voltage data set, determines the battery voltage consistency value of the battery unit at each first continuous moment and each second continuous moment; based on the battery voltage consistency value at each first continuous moment and each second continuous moment, calculates a first T statistic; based on the significance level value set for this evaluation, the degree of freedom calculated from the number of battery voltage consistency values, and the t-test critical value table, determines a second T statistic; based on the size relationship between the first T statistic and the second T statistic, determines the battery recharging effect of the electrochemical energy storage system. The electrochemical energy storage system battery recharging effect evaluation scheme provided in the embodiment of the present application uses the voltage consistency index of each cell in the battery unit in the continuous time corresponding to each time point at the end of discharge before and after recharging as the key indicator for recharging effect evaluation. The battery recharging effect can be automatically evaluated by a computing device. Compared with the prior art of battery recharging effect evaluation performed manually, the efficiency is high and the analysis results are more reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a flowchart showing the steps of a method for evaluating the battery charging effect of an electrochemical energy storage system according to an embodiment of the present application;

[0053] Figure 2 is an overall flow chart showing a method for evaluating the battery charging effect of an electrochemical energy storage system according to an embodiment of the present application;

[0054] Figure 3 is a specific flow chart showing a method for establishing an independent sample T hypothesis test according to an embodiment of the present application;

[0055] Figure 4 It is a structural block diagram of a battery charging effect evaluation device for an electrochemical energy storage system according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0057] The following, in conjunction with the accompanying drawings, describes in detail the electrochemical energy storage system battery charging effect evaluation scheme provided in the embodiment of the present application through specific embodiments and their application scenarios.

[0058] As attached Figure 1As shown, the method for evaluating the battery charging effect of the electrochemical energy storage system of the embodiment of the present application includes the following steps:

[0059] Step 101: Obtaining from an energy storage power station monitoring system a first battery voltage data set corresponding to each first consecutive moment before battery unit charging, and a second battery voltage data set corresponding to each second consecutive moment after charging.

[0060] Among them, the battery unit includes multiple batteries, and the battery unit can be a battery cluster, a battery pack, etc., which is not specifically limited in the embodiments of the present application.

[0061] In the embodiment of the present application, the voltage consistency index of each cell voltage in the battery unit before and after charging at each time point at the end of discharge is observed as a key indicator for judging whether there is a significant difference in battery cell consistency before and after charging. Therefore, it is necessary to obtain a battery voltage data set first. The first battery voltage data set contains the battery voltage corresponding to each battery at multiple times before charging, and the second battery voltage data set contains the battery voltage corresponding to each battery at multiple times after charging.

[0062] More preferably, only the voltage values ​​of the batteries whose remaining power is less than or equal to a preset power are obtained, wherein the preset power can be set to 5%, 10% or 8%, etc.

[0063] Step 102: Determine battery voltage consistency values ​​of the battery unit at each first continuous moment and each second continuous moment based on each first battery voltage data set and each second battery voltage data set.

[0064] In an optional embodiment, based on each first battery voltage data set and each second battery voltage data set, a method for determining a battery voltage consistency value of a battery cell at each first continuous moment and each second continuous moment may be as follows:

[0065] First, for the sub-battery voltage data set corresponding to each moment, the standard deviation and the average value of the sub-battery voltage data set are calculated;

[0066] Second, calculate the quotient of the standard deviation and the mean;

[0067] Finally, the battery voltage consistency value corresponding to the moment is determined based on the quotient.

[0068] An exemplary method is to calculate the battery voltage consistency value at a certain moment in the battery cell by the following formula:

[0069]

[0070] Among them, CV cells Represents the battery voltage consistency value within a battery cell; V cellsRepresents a sub-battery voltage data set in a battery unit, in V; std(V cells ) represents the standard deviation of the sub-battery voltage data set in a battery cell at a certain time, in V; average(V cells ) represents the average value of the sub-battery voltage data set in a battery cell at a certain moment, in V.

[0071] In the actual implementation process, the battery voltage consistency value in the battery cell at each moment can be calculated based on the above formula and the sub-battery voltage data set corresponding to the battery cell at each moment.

[0072] Step 103: Calculate a first T statistic based on the battery voltage consistency value at each first consecutive moment and each second consecutive moment.

[0073] The paired sample T test is used to compare the consistency of the battery cell voltage at the end of discharge (SOC<5%) before and after the recharge. It can be evaluated whether there is a significant change in the consistency of the battery cell voltage at the end of discharge before and after the recharge. If the consistency is significantly improved, it means that this recharge operation can indeed alleviate the problem of poor voltage consistency of the battery cluster / battery pack; if the consistency is not significantly improved, or even decreases, it means that this recharge operation has not helped the battery consistency in the specified battery unit.

[0074] An alternative method of calculating the first T statistic based on the battery voltage consistency value at each first consecutive moment and each second consecutive moment may include the following sub-steps:

[0075] Sub-step 1: Calculate a first average value and a first sample variance of the battery voltage consistency value corresponding to each first continuous moment;

[0076] A battery voltage consistency value corresponding to each first continuous moment is a sample and may also be called a data sample.

[0077] Sub-step 2: Calculate a second average value and a second sample variance of the battery voltage consistency value corresponding to each second consecutive moment;

[0078] Sub-step 3: determining a first number of battery voltage consistency values ​​corresponding to each first continuous moment and a second number of battery voltage consistency values ​​corresponding to the second continuous moment;

[0079] Sub-step 4: Calculate a first T statistic based on the first mean, the first sample variance, the second mean, the second sample variance, the first quantity, and the second quantity.

[0080] An exemplary implementation is to calculate the T statistic using the following formula:

[0081]

[0082] in, Represents the average value of battery voltage consistency data samples after recharging, i.e., the first average value; Represents the average value of the battery voltage consistency data samples before recharging, i.e., the first average value; n a represents the sample size (number of data records) of the battery voltage consistency data after recharging, i.e., the first number; n b represents the battery voltage consistency data sample size (number of data records) before recharging, i.e., the second number; Represents the sample variance of the battery voltage consistency data after recharging, i.e., the second sample variance; The sample variance of the battery voltage consistency data before recharging is the first sample variance.

[0083] Step 104: Determine a second T statistic based on the significance level value set for this evaluation, the degrees of freedom calculated from the number of battery voltage consistency values, and the t-test critical value table.

[0084] The significance level can be represented by α, and the degree of freedom = the number of battery voltage consistency data sample records after charging (ie, the second number) + the number of battery voltage consistency data sample records before charging (ie, the first number) - 2. The second T statistic can be represented by T0.

[0085] The t-test critical value table includes: the correspondence between the significance level value, degrees of freedom and T statistics. The t-test critical value table is an existing table, and some of the table contents are shown in Table 1 below.

[0086]

[0087] Step 105: Determine the battery charging effect of the electrochemical energy storage system based on the magnitude relationship between the first T statistic and the second T statistic.

[0088] Compare the second T statistic T0 with the first T statistic T: If T≤T0, it means that the charging operation has not had any effect on the consistency of the cell voltage in the specified battery cell. If T>T0, it means that the consistency of the battery voltage in the battery cell after charging is higher than before charging, that is, the charging operation has achieved the expected effect.

[0089] In an optional embodiment, the battery charging effect can also be evaluated by judging whether the original hypothesis is rejected. Specifically, before the step of obtaining the first battery voltage data set corresponding to each first consecutive moment before the battery unit is charged from the energy storage power station monitoring system, the following operations are performed:

[0090] First, set the confidence level, where the confidence level is the difference between the value 1 and the significance level value;

[0091] Secondly, establishing a null hypothesis, wherein the null hypothesis is that the voltage consistency of the battery cell after the charging operation is lower than the voltage consistency before the charging operation;

[0092] Thirdly, an alternative hypothesis is established, wherein the alternative hypothesis is that the voltage consistency of the battery cell after the power replenishment operation is higher than or equal to the voltage consistency before the power replenishment operation.

[0093] Accordingly, based on the magnitude relationship between the first T statistic and the second T statistic, the method for determining the battery charging effect of the electrochemical energy storage system can be as follows:

[0094] When the first T statistic is less than or equal to the second T statistic, it is determined that the null hypothesis established in this evaluation is not rejected; when the first T statistic is greater than the second T statistic, it is determined that the null hypothesis established in this evaluation is rejected.

[0095] The electrochemical energy storage system battery recharging effect evaluation scheme provided in the embodiment of the present application uses the voltage consistency index of each cell in the battery unit in the continuous time corresponding to each time point at the end of discharge before and after recharging as the key indicator for recharging effect evaluation. The battery recharging effect can be automatically evaluated by a computing device. Compared with the prior art of battery recharging effect evaluation performed manually, the efficiency is high and the analysis results are more reliable.

[0096] Combine the following Figure 2 , Figure 3 The method for evaluating the battery charging effect of an electrochemical energy storage system provided in an embodiment of the present application is described with a specific example.

[0097] Figure 2 1 is an overall flow chart showing a method for evaluating the battery charging effect of an electrochemical energy storage system according to an embodiment of the present application. Figure 2 As shown, the overall process includes the following steps:

[0098] Step 201: Obtain the seven-day charging of a designated battery cluster / battery pack, and divide the battery cell voltage data sets V_Cells_b and V_Cells_a corresponding to the final charging period (SOC≤5%) before and after the charging.

[0099] Step 202: Establish an independent sample t-test hypothesis test of the battery cell voltage before and after the battery is replenished.

[0100] Step 203: Determine whether the hypothesis test result rejects the null hypothesis; if so, execute step 204; if not, execute step 205.

[0101] When judging whether the hypothesis test result rejects the null hypothesis, it is necessary to calculate the T statistic based on the battery voltage unit data set obtained in step 201, and judge whether the hypothesis test result rejects the null hypothesis based on the T statistic. The specific judgment method can refer to the relevant description in the above embodiment, which will not be repeated here.

[0102] Step 204: if the original hypothesis is rejected, it means that the current charging has an effect of improving the voltage consistency of each battery cell in the specified battery cluster / battery stack (ie, battery pack);

[0103] Step 205: If the original hypothesis is not rejected, it means that the current charging has no effect on improving the voltage consistency of each battery cell in the specified battery cluster / battery stack.

[0104] The specific process of establishing the independent sample T hypothesis test is as follows Figure 3 As shown, the following steps are included:

[0105] S1: Set the confidence level to 1-α.

[0106] The default value of the confidence level is 99%, where α is the "significance level", that is, the threshold for judging low-probability events.

[0107] S2: Establish the null hypothesis H0.

[0108] The cell (i.e., battery) voltage consistency at the end of discharge (SOC≤5%) after recharging is greater than the cell voltage consistency at the end of discharge (SOC≤5%) before recharging. That is, H0 specifies that the consistency of the battery cluster / battery pack after the recharging operation is less than the consistency before the recharging operation:

[0109] H0:CV_V-cells-b≥CV_V-cells-a

[0110] S3: Establish alternative hypothesis H1.

[0111] The cell (i.e., battery) voltage consistency at the end of discharge (SOC≤5%) after recharging is less than or equal to the cell voltage consistency at the end of discharge (SOC≤5%) before recharging, i.e., the consistency of the H1 specified battery cluster / battery pack after the recharging operation is not less than the consistency before the recharging operation.

[0112] S4: Calculate the T statistic.

[0113] The T statistic in this step is the first T statistic mentioned above.

[0114] An exemplary implementation is to calculate the T statistic using the following formula:

[0115]

[0116] in, Represents the average value of battery voltage consistency data samples after recharging, i.e., the first average value; Represents the average value of the battery voltage consistency data samples before recharging, i.e., the first average value; n a represents the sample size (number of data records) of the battery voltage consistency data after recharging, i.e., the first number; n b represents the battery voltage consistency data sample size (number of data records) before recharging, i.e., the second number; Represents the sample variance of the battery voltage consistency data after recharging, i.e., the second sample variance; The sample variance of the battery voltage consistency data before recharging is the first sample variance.

[0117] The calculation of the cell voltage consistency value of a battery cluster / battery pack at a certain moment can be obtained by the following formula:

[0118]

[0119] Among them, CV cells Represents the battery voltage consistency value within a battery cell; V cells Represents a sub-battery voltage data set in a battery unit, in V; std(V cells ) represents the standard deviation of the sub-battery voltage data set in a battery cell at a certain time, in V; average(V cells ) represents the average value of the sub-battery voltage data set in a battery cell at a certain moment, in V.

[0120] S5: Find the T0 value in the t-test critical value table based on the significance level α and the degrees of freedom calculated based on the data sample size.

[0121] The T0 value is the second T statistic.

[0122] The degree of freedom = the number of battery voltage consistency data sample records after charging + the number of battery voltage consistency data sample records before charging - 2.

[0123] S6: Compare T0 and T (i.e. t0 and t in the flowchart), and infer the relationship between the P value and the significance level α value, and finally determine whether to reject the null hypothesis.

[0124] S7: Determine whether t≤t0, if so, execute step S8, if not, execute step S9.

[0125] S8: Do not reject the null hypothesis.

[0126] S9: Reject the null hypothesis.

[0127] If t≤t0 (which means p value ≥ significance level α value), the null hypothesis is not rejected, that is, the charging operation does not play a role in the voltage consistency of the specified battery cluster / battery pack. Otherwise, the null hypothesis is rejected, which means that the battery voltage consistency of the battery cluster / battery pack after charging is higher than that before charging, that is, the charging operation achieves the expected effect.

[0128] The present embodiment provides a method for evaluating the effect of battery recharging of an electrochemical energy storage system based on an independent sample T test. The method of comparing the consistency of the battery cell voltage at the end of discharge (SOC<5%) before and after recharging is a paired sample T test. This can evaluate whether there is a significant change in the consistency of the battery cell voltage at the end of discharge before and after recharging. If the consistency is significantly improved, it means that this recharging operation can indeed alleviate the problem of poor consistency of the battery cluster / battery pack voltage; if the consistency is not significantly improved, or even decreases, it means that this recharging operation does not help the consistency of the specified battery cluster / battery pack.

[0129] Figure 4 A structural block diagram of a device for evaluating the battery charging effect of an electrochemical energy storage system in order to realize an embodiment of the present application.

[0130] The electrochemical energy storage system battery charging effect evaluation device provided in the embodiment of the present application includes the following functional modules:

[0131] The acquisition module 401 is used to acquire, from the energy storage power station monitoring system, a first battery voltage data set corresponding to each first continuous moment before the battery unit is recharged, and a second battery voltage data set corresponding to each second continuous moment after the battery unit is recharged; wherein the battery unit includes a plurality of batteries;

[0132] A consistency determination module 402, configured to determine a battery voltage consistency value of the battery unit at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets;

[0133] A first statistic determination module 403, configured to calculate a first T statistic based on the battery voltage consistency values ​​at each of the first consecutive moments and each of the second consecutive moments;

[0134] A second statistic determination module 404 is used to determine a second T statistic based on the significance level value set for this evaluation, the degree of freedom calculated from the number of battery voltage consistency values, and the t-test critical value table;

[0135] The power replenishment effect determination module 405 is used to determine the power replenishment effect of the battery of the electrochemical energy storage system based on the magnitude relationship between the first T statistic and the second T statistic.

[0136] Optionally, the consistency determination module includes:

[0137] The first submodule is used to calculate the standard deviation and average value of the sub-battery voltage data set for the sub-battery voltage data set corresponding to each moment;

[0138] A second submodule is used to calculate the quotient of the standard deviation and the mean value;

[0139] The third submodule is used to determine the battery voltage consistency value corresponding to the moment according to the quotient.

[0140] Optionally, the first statistic determination module includes:

[0141] a fourth submodule, configured to calculate a first average value and a first sample variance of the battery voltage consistency values ​​corresponding to each of the first continuous moments, wherein a battery voltage consistency value corresponding to each of the first continuous moments is a sample;

[0142] A fifth submodule, configured to calculate a second average value and a second sample variance of the battery voltage consistency values ​​corresponding to each of the second consecutive moments;

[0143] A sixth submodule, configured to determine a first number of battery voltage consistency values ​​corresponding to each of the first consecutive moments and a second number of battery voltage consistency values ​​corresponding to the second consecutive moments;

[0144] A seventh submodule is configured to calculate the first T statistic according to the first mean value, the first sample variance, the second mean value, the second sample variance, the first quantity, and the second quantity.

[0145] Optionally, the device further comprises:

[0146] A setting module, used to set a confidence level before the acquisition module acquires the first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged from the energy storage power station monitoring system, wherein the confidence level is the difference between the value 1 and the significance level value;

[0147] A first establishing module is used to establish an original hypothesis, wherein the original hypothesis is that the voltage consistency of the battery unit after the power replenishment operation is lower than the voltage consistency before the power replenishment operation;

[0148] The second establishing module is used to establish an alternative hypothesis, wherein the alternative hypothesis is that the voltage consistency of the battery unit after the power replenishment operation is higher than or equal to the voltage consistency before the power replenishment operation.

[0149] Optionally, the power replenishment effect determination module includes:

[0150] An eighth submodule, configured to determine not to reject the null hypothesis established in this evaluation when the first T statistic is less than or equal to the second T statistic;

[0151] The ninth submodule is used to determine whether to reject the null hypothesis established in this evaluation when the first T statistic is greater than the second T statistic.

[0152] The device for evaluating the battery charging effect of an electrochemical energy storage system provided in the embodiment of the present application uses the voltage consistency index of each cell in the battery unit in the continuous time corresponding to each time point at the end of discharge before and after charging as the key indicator for evaluating the charging effect, and can automatically evaluate the battery charging effect through a computing device. Compared with the prior art of manually evaluating the battery charging effect, the device has high efficiency and the analysis results are more reliable.

[0153] In the present application embodiment Figure 4 The electrochemical energy storage system battery charging effect evaluation device shown is set in an electronic device or a server. The electronic device or server provided with the device can be a device with an operating system. The operating system can be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.

[0154] The embodiments of the present application provide Figure 4 The electrochemical energy storage system battery charging effect evaluation device shown can achieve Figure 1 To avoid repetition, the various processes implemented by the method embodiment are not described here.

[0155] Optionally, an embodiment of the present application also provides an electronic device, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the various processes performed by the above-mentioned electrochemical energy storage system battery charging effect evaluation device are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0156] It should be noted that the electronic device in the embodiment of the present application includes the server described above.

[0157] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0158] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0159] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for evaluating the battery charging effect of an electrochemical energy storage system, characterized in that: include: Acquire a first battery voltage data set corresponding to each first continuous moment before the battery unit is recharged, and a second battery voltage data set corresponding to each second continuous moment after the battery unit is recharged from the energy storage power station monitoring system; wherein the battery unit includes a plurality of batteries; Determining a battery voltage consistency value of the battery cell at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets; Calculating a first T statistic based on the battery voltage consistency values ​​at each of the first consecutive moments and each of the second consecutive moments; Determine the second T statistic based on the significance level value set for this evaluation, the degrees of freedom calculated from the number of battery voltage consistency values, and the t-test critical value table; Based on the magnitude relationship between the first T statistic and the second T statistic, the battery charging effect of the electrochemical energy storage system is determined.

2. The method according to claim 1, characterized in that The step of determining the battery voltage consistency value of the battery cell at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets comprises: For each sub-battery voltage data set corresponding to each moment, calculating a standard deviation and an average value of the sub-battery voltage data set; calculating a quotient of the standard deviation and the mean; The battery voltage consistency value corresponding to the moment is determined according to the quotient.

3. The method according to claim 2, characterized in that The step of calculating a first T statistic based on the battery voltage consistency values ​​at each of the first consecutive moments and each of the second consecutive moments includes: Calculating a first average value and a first sample variance of the battery voltage consistency values ​​corresponding to each of the first continuous moments, wherein a battery voltage consistency value corresponding to each of the first continuous moments is a sample; Calculate a second average value and a second sample variance of the battery voltage consistency values ​​corresponding to each of the second consecutive moments; Determine a first number of battery voltage consistency values ​​corresponding to each of the first consecutive moments and a second number of battery voltage consistency values ​​corresponding to the second consecutive moments; The first T statistic is calculated according to the first mean value, the first sample variance, the second mean value, the second sample variance, the first quantity, and the second quantity.

4. The method according to claim 1, characterized in that: Before the step of acquiring the first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged from the energy storage power station monitoring system, the method further includes: Set the confidence level, where the confidence level is the difference between the value 1 and the significance level; Establishing a null hypothesis, wherein the null hypothesis is that the voltage consistency of the battery cell after the charging operation is lower than the voltage consistency before the charging operation; An alternative hypothesis is established, wherein the alternative hypothesis is that the voltage consistency of the battery cell after the power replenishment operation is higher than or equal to the voltage consistency before the power replenishment operation.

5. The method according to claim 4, characterized in that The step of determining the charging effect of the battery of the electrochemical energy storage system based on the magnitude relationship between the first T statistic and the second T statistic includes: When the first T statistic is less than or equal to the second T statistic, determining not to reject the null hypothesis established in this evaluation; When the first T statistic is greater than the second T statistic, it is determined to reject the null hypothesis established in this evaluation.

6. A device for evaluating the battery charging effect of an electrochemical energy storage system, characterized in that: include: An acquisition module, used to acquire, from the energy storage power station monitoring system, a first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged, and a second battery voltage data set corresponding to each second consecutive moment after the battery unit is recharged; wherein the battery unit includes a plurality of batteries; a consistency determination module, configured to determine a battery voltage consistency value of the battery unit at each of the first consecutive moments and each of the second consecutive moments based on each of the first battery voltage data sets and each of the second battery voltage data sets; A first statistic determination module, configured to calculate a first T statistic based on the battery voltage consistency values ​​at each of the first consecutive moments and each of the second consecutive moments; A second statistic determination module, used to determine a second T statistic based on the significance level value set for this evaluation, the degrees of freedom calculated from the number of battery voltage consistency values, and a t-test critical value table; The power replenishment effect determination module is used to determine the power replenishment effect of the battery of the electrochemical energy storage system based on the magnitude relationship between the first T statistic and the second T statistic.

7. The device according to claim 6, characterized in that The consistency determination module comprises: The first submodule is used to calculate the standard deviation and average value of the sub-battery voltage data set for the sub-battery voltage data set corresponding to each moment; A second submodule is used to calculate the quotient of the standard deviation and the mean value; The third submodule is used to determine the battery voltage consistency value corresponding to the moment according to the quotient.

8. The device according to claim 7, characterized in that The first statistic determination module comprises: a fourth submodule, configured to calculate a first average value and a first sample variance of the battery voltage consistency values ​​corresponding to each of the first continuous moments, wherein a battery voltage consistency value corresponding to each of the first continuous moments is a sample; A fifth submodule, configured to calculate a second average value and a second sample variance of the battery voltage consistency values ​​corresponding to each of the second consecutive moments; A sixth submodule, configured to determine a first number of battery voltage consistency values ​​corresponding to each of the first consecutive moments and a second number of battery voltage consistency values ​​corresponding to the second consecutive moments; A seventh submodule is configured to calculate the first T statistic according to the first mean value, the first sample variance, the second mean value, the second sample variance, the first quantity, and the second quantity.

9. The device according to claim 6, characterized in that The device also includes: A setting module, used to set a confidence level before the acquisition module acquires the first battery voltage data set corresponding to each first consecutive moment before the battery unit is recharged from the energy storage power station monitoring system, wherein the confidence level is the difference between the value 1 and the significance level value; A first establishing module is used to establish an original hypothesis, wherein the original hypothesis is that the voltage consistency of the battery unit after the power replenishment operation is lower than the voltage consistency before the power replenishment operation; The second establishing module is used to establish an alternative hypothesis, wherein the alternative hypothesis is that the voltage consistency of the battery unit after the power replenishment operation is higher than or equal to the voltage consistency before the power replenishment operation.

10. An electronic device, characterized in that: The electronic device includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method for evaluating the battery charging effect of an electrochemical energy storage system as described in any one of claims 1 to 5 are implemented.

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