Electric energy efficiency detection method and system and electronic equipment

Abstract

The invention discloses an electric energy efficiency detection method, a battery electric energy efficiency evaluation method, an electric energy efficiency detection system, a computer readable storage medium, an electronic device and a computer program product, and the electric energy efficiency detection method comprises the steps: obtaining a charging start moment, an initial energy value of a charging device and a first SOC value of a battery module, obtaining a charging end moment, a final energy value of the charging equipment and a charging electric quantity value charged into the battery module; obtaining a discharge electric quantity value discharged by the battery module and a second SOC value of the battery module at a discharge end moment; acquiring an SOC energy difference value corresponding to a difference value between the second SOC value and the first SOC value; and obtaining the electric energy efficiency of the battery module according to the initial energy value, the final energy value, the charging electric quantity value, the discharging electric quantity value and the SOC energy difference value. According to the detection method for the electric energy efficiency, the obtained initial energy value, the final energy value, the charging electric quantity value, the discharging electric quantity value and the SOC value of the battery module under the non-full and full-discharge conditions are processed, the electric energy efficiency can be accurately calculated, the full-full and full-discharge conditions do not need to be met, and the feasibility and the simplicity of calculation of the electric energy efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a method for detecting electric energy efficiency, a method for evaluating battery electric energy efficiency, a system for detecting electric energy efficiency, a computer-readable storage medium, an electronic device and a computer program product. Background Art

[0002] In the related art, the energy efficiency of the energy storage battery can be obtained based on the energy efficiency of each battery module. The energy efficiency of the battery module is obtained by measuring the energy fully released by the fully charged battery in a continuous period of time and the energy required for the battery module to be fully charged from 0 to full, and the energy efficiency of the battery module is obtained according to the ratio between the two. However, after the energy storage battery is installed, the conditions for calculating the energy efficiency are difficult to obtain, and due to the influence of ambient temperature and humidity, the energy efficiency of the energy storage battery is not constant, and the energy efficiency of the energy storage battery needs to be updated in a timely manner. Therefore, how to accurately and timely obtain the energy efficiency of the energy storage battery running online under non-full charging and discharging conditions is a technical problem that needs to be solved urgently. Summary of the invention

[0003] The present invention is proposed to solve at least one of the above problems. According to the first aspect of the present application, a method for detecting electric energy efficiency is provided, the method comprising: obtaining the initial energy value of a charging device and the first SOC value of a battery module at the start time of charging, and obtaining the final energy value of the charging device and the charging power value charged into the battery module at the end time of charging, wherein the charging device charges the battery module; obtaining the discharge power value discharged by the battery module and the second SOC value of the battery module at the end time of discharging; obtaining the SOC energy difference value corresponding to the difference between the second SOC value and the first SOC value; obtaining the electric energy efficiency of the battery module according to the initial energy value, the final energy value, the charging power value, the discharging power value and the SOC energy difference value.

[0004] In one embodiment of the present application, the electric energy efficiency is expressed by the following formula:

[0005]

[0006] Among them, E η Indicates electrical energy efficiency, E 充 Indicates the charging capacity value, E 放 Indicates the discharge capacity value, E ΔSOC Indicates the SOC energy difference, E 终 Represents the final energy value, E 始 Represents the initial energy value.

[0007] In one embodiment of the present application, the step of obtaining the SOC energy difference corresponding to the difference between the second SOC value and the first SOC value includes: multiplying the difference between the second SOC value and the first SOC value and a fitting coefficient to obtain the SOC energy difference; wherein the fitting coefficient represents the rate of change of the SOC energy difference with the difference between the second SOC value and the first SOC value.

[0008] In one embodiment of the present application, the fitting coefficient is obtained by the following steps: obtaining the energy value and SOC value of the battery module at multiple times, wherein the SOC value corresponds one-to-one to the energy value; and obtaining the fitting coefficient by the least squares method based on the multiple energy values ​​and the multiple SOC values.

[0009] In one embodiment of the present application, after acquiring the energy value and SOC value of the battery module at multiple moments, it further includes: preprocessing the multiple energy values.

[0010] In one embodiment of the present application, the preprocessing includes: when the energy value corresponding to time T in the battery module is less than the energy value corresponding to time T-1, correcting the energy value corresponding to time T; or; when the energy value at time T in the battery module is missing, assigning the energy value at time T-1 to time T.

[0011] In one embodiment of the present application, after acquiring the charging power value charged into the battery module, the detection method further includes: preprocessing the charging power value.

[0012] In one embodiment of the present application, the preprocessing includes: when the charging power value corresponding to time T in the battery module is less than the charging power value corresponding to time T-1, correcting the charging power value corresponding to time T; or; when the charging power value corresponding to time T in the battery module is missing, assigning the charging power value at time T-1 to time T.

[0013] According to a second aspect of the present application, a method for evaluating the electric energy efficiency of a battery is provided, wherein the battery comprises a plurality of battery modules, the electric energy efficiency of the battery is equal to the average value of the electric energy efficiencies of the respective battery modules, and the electric energy efficiency of the battery modules is obtained by the above-mentioned electric energy efficiency detection method, and the evaluation method comprises: when a charging device charges the battery, obtaining the SOC values ​​of the respective battery modules at a plurality of moments; obtaining the SOC distance difference between the respective battery modules at the same moment according to the SOC values ​​of the respective battery modules at the same moment; obtaining the median of the plurality of SOC distance differences corresponding to the respective battery modules at the same moment according to the plurality of SOC distance differences corresponding to the respective battery modules at the same moment; averaging the plurality of SOC distance differences corresponding to the respective battery modules at the same moment to obtain the average distance corresponding to the respective battery modules; obtaining the number of outlier moments of the electric energy efficiency of the battery according to the average distance and the median corresponding to the respective battery modules at a plurality of moments; obtaining the confidence of the electric energy efficiency according to the number of outlier moments and the total number of moments of the electric energy efficiency.

[0014] In one embodiment of the present application, the step of obtaining the number of outlier moments of the electric energy efficiency of the battery based on the average distance and median corresponding to each of the battery modules at multiple moments includes: taking the absolute value of the difference between the average distance and the median corresponding to each of the battery modules at each moment as the SOC outlier risk value; placing the SOC outlier risk value in a data queue corresponding to each of the battery modules, wherein the data queue is composed of historical SOC outlier risk values ​​of the battery module; obtaining the SOC outlier risk value of the target moment and the k moments before it through a sliding window; adding the obtained k+1 SOC outlier risk values ​​to obtain the target risk value; if the target risk value is greater than the outlier threshold, it indicates that the electric energy efficiency of the battery at the target moment is outlier; and counting the number of moments when the electric energy efficiency of the battery is outliers to obtain the number of outlier moments.

[0015] In one embodiment of the present application, the confidence level of the electric energy efficiency is expressed by the following formula:

[0016]

[0017] Among them, C η Represents the confidence level of electric energy efficiency, T 离群 represents the number of outlier moments, and T represents the total number of moments.

[0018] According to a third aspect of the present application, a system for detecting electric energy efficiency is provided, the detection system comprising: a data acquisition module, for acquiring an initial energy value of a charging device and a first SOC value of a battery module at the start time of charging, and acquiring a final energy value of the charging device and a charge value of the battery module at the end time of charging, and also for acquiring a discharge value of the battery module and a second SOC value of the battery module at the end time of discharging, wherein the charging device charges the battery module; a first data processing module, for acquiring an SOC energy difference value corresponding to a difference between the second SOC value and the first SOC value; and a second data processing module, for obtaining the electric energy efficiency of the battery module based on the initial energy value, the final energy value, the charge value, the discharge value and the SOC energy difference value.

[0019] According to a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for detecting electric energy efficiency or the above-mentioned method for evaluating battery electric energy efficiency is implemented.

[0020] According to a fifth aspect of the present application, an electronic device is provided, comprising a memory, a processor and a computer program stored on the memory, wherein when the computer program is executed by the processor, any one of the above-mentioned methods for detecting electric energy efficiency or methods for evaluating battery electric energy efficiency is implemented.

[0021] According to a sixth aspect of the present application, a computer program product is provided, comprising a computer program or instructions, wherein when the computer program or instructions are executed, any one of the above-mentioned methods for detecting electric energy efficiency or methods for evaluating battery electric energy efficiency is implemented.

[0022] According to the electric energy efficiency detection method, battery electric energy efficiency evaluation method, electric energy efficiency detection system, computer-readable storage medium, electronic device and computer program product provided in the embodiments of the present application, the electric energy efficiency detection method of the present application can accurately calculate the electric energy efficiency by processing the initial energy value, final energy value, charging power value, discharging power value and SOC value of the battery module under non-full charging and discharging conditions, without meeting the full charging and discharging conditions, thereby improving the feasibility and simplicity of the electric energy efficiency calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0024] Figure 1 A schematic diagram of a flow chart of a method for detecting electric energy efficiency provided by an embodiment of the present invention;

[0025] Figure 2 A statistical diagram of charging power value, discharging power value and SOC value during multi-stage charging and discharging of a battery module provided by an embodiment of the present invention;

[0026] Figure 3 (a) is a schematic diagram of SOC values ​​of multiple battery modules over a period of time provided by an embodiment of the present invention;

[0027] Figure 3 (b) is a schematic diagram of SOC values ​​and charging power values ​​of multiple battery modules provided by an embodiment of the present invention;

[0028] Figure 4 (a) is a schematic diagram of SOC values ​​of multiple battery modules over a period of time provided by another embodiment of the present invention;

[0029] Figure 4 (b) is a schematic diagram of SOC values ​​and charging power values ​​of multiple battery modules provided by another embodiment of the present invention;

[0030] Figure 5 A schematic flow chart of a method for evaluating battery power efficiency provided by an embodiment of the present invention;

[0031] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical scheme and advantages of the present invention more obvious, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described herein. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative work should fall within the protection scope of the present invention.

[0033] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features well known in the art are not described.

[0034] It should be understood that the present invention can be implemented in different forms and should not be interpreted as limited to the embodiments set forth herein. On the contrary, these embodiments are provided to make the disclosure thorough and complete and to fully convey the scope of the present invention to those skilled in the art.

[0035] In order to fully understand the present invention, a detailed structure will be presented in the following description to illustrate the technical solution proposed by the present invention. The optional embodiments of the present invention are described in detail as follows, but in addition to these detailed descriptions, the present invention may also have other implementations.

[0036] To obtain the energy efficiency of the battery module, from the perspective of full charge and discharge conditions, it is essentially to calculate the energy E charged into the battery module. 充 Can actually be converted into discharge energy E 放 How much is there? The part that cannot be converted is the energy lost by the battery E 损耗 The unreleased energy is the energy difference E between the initial time and the final time corresponding to the SOC (State of Charge). ΔSOC It can be expressed as: E 充 =E 放 +E 损耗 +E ΔSOC The full filling condition is actually the E in the above formula. ΔSOC The value is equal to 0. However, after the battery module is installed, it is difficult to obtain the prerequisite for full charging and discharging.

[0037] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0038] The first aspect of the present application provides a method for detecting electric energy efficiency, such as Figure 1 As shown, the detection method of electric energy efficiency includes:

[0039] S1, obtaining the initial energy value of the charging device and the first SOC value of the battery module at the start time of charging, and obtaining the final energy value of the charging device and the charging power value of the battery module at the end time of charging. The charging device charges the battery module.

[0040] It should be noted that the battery module may refer to a single cell, a battery module or a battery cluster. The charging capacity value is a measure of the amount of electrical energy actually charged into the battery module during the charging process. During the charging process, each moment corresponds to a charging capacity value. The difference between the final energy value and the initial energy value represents the energy consumed by the charging device during the charging process.

[0041] S2, obtaining the discharge power value of the battery module and the second SOC value of the battery module at the end of the discharge.

[0042] It should be noted that the discharge power value is a measure of the actual amount of electrical energy released by the battery module during the discharge process. During the discharge process, each moment corresponds to a discharge energy value.

[0043] It is worth mentioning that Figure 2 As shown, the battery module will only produce losses during the charging and discharging process within a period of time, and this period of time may include multiple charging and discharging processes. During this period of time, the charging power value (ChargeEnergy) and the discharging power value (DisChargeEnergy) can be accumulated and calculated. The first SOC value can be the SOC value corresponding to the starting time of this period of time, and the second SOC value can be the SOC value (BatSOC) corresponding to the final time of this period of time.

[0044] S3, obtaining an SOC energy difference corresponding to a difference between the second SOC value and the first SOC value.

[0045] S4, obtaining the electric energy efficiency of the battery module according to the initial energy value, the final energy value, the charging power value, the discharging power value and the SOC energy difference.

[0046] It should be noted that the electric energy data corresponding to a part of the time period of the charging process and the discharging process may be intercepted to calculate the electric energy efficiency.

[0047] Specifically, the electrical energy efficiency is expressed by the following formula:

[0048]

[0049] Among them, E η Indicates electrical energy efficiency, E 充 Indicates the charging capacity value, E 放 Indicates the discharge capacity value, E ΔSOC Indicates the SOC energy difference, E 终 Represents the final energy value, E 始 Represents the initial energy value.

[0050] The method for detecting electric energy efficiency in an embodiment of the present invention can accurately calculate the electric energy efficiency by processing the initial energy value, final energy value, charging power value, discharging power value and SOC value of the battery module under non-full charging and discharging conditions, without meeting the full charging and discharging conditions, thereby improving the feasibility and simplicity of electric energy efficiency calculation.

[0051] E ΔSOC The value is related to the performance of the battery module itself and the environment of the energy storage power station. ΔSOC The value is a relatively complex variable, and it is difficult to estimate EΔSOC The accuracy of E determines the accuracy of the energy efficiency calculation. ΔSOC There is a direct proportional relationship between the charging capacity value.

[0052] In some embodiments, the step of obtaining an SOC energy difference corresponding to a difference between the second SOC value and the first SOC value includes:

[0053] The difference between the second SOC value and the first SOC value is multiplied by the fitting coefficient to obtain the SOC energy difference; wherein the fitting coefficient represents the rate of change of the SOC energy difference with the difference between the second SOC value and the first SOC value.

[0054] As an example, the SOC energy difference can be expressed by the following formula:

[0055] E ΔSOC = k * ΔSOC

[0056] Wherein, ΔSOC represents the difference between the second SOC value and the first SOC value, and k represents the fitting coefficient.

[0057] like Figure 3 As shown in the figure, based on the visualization of the charging power value and the SOC value, it can be found that the charging energy increment and the SOC increment are proportional, and the same amount of charging energy can obtain the same amount of SOC increase. However, the increase in SOC of different battery modules with the increase in charging power value may not be exactly the same, so the fitting coefficients corresponding to different battery modules are not the same.

[0058] In some embodiments, the fitting coefficients are obtained by the following steps:

[0059] S41, obtaining energy values ​​and SOC values ​​of the battery module at multiple moments, wherein the SOC value corresponds to the energy value one by one.

[0060] S42, obtaining a fitting coefficient using a least square method according to the multiple energy values ​​and the multiple SOC values.

[0061] As an example, according to multiple energy values ​​and multiple SOC values, the specific process of using the least square method to obtain the fitting coefficient includes:

[0062] First, the energy value and SOC value corresponding to each moment are taken as an incremental data pair. For example, a charging time period within the sampling time can be sampled to n sample points, each sample point will correspond to an SOC value and an energy value, then n sample points can correspond to (n(n-1)) / 2 SOC and charging power value incremental data pairs.

[0063] Next, based on the incremental data pairs, the error equation is constructed:

[0064] error_i=ΔEnergy_i–k×ΔSOC_i

[0065] Among them, ΔEnergy_i represents the charge power value increment of the i-th incremental data pair, ΔSOC_i represents the SOC increment of the i-th incremental data pair, and k represents the fitting coefficient.

[0066] Then, define the loss function L as the sum of squares of all errors, that is:

[0067]

[0068] Finally, in order to find the value of k that minimizes L, this can be achieved by taking the derivative of L with respect to k and setting the derivative equal to zero. Solving the above equations, we get the optimal value of k.

[0069] In this embodiment, by acquiring the energy values ​​and SOC values ​​of the battery module at multiple times, and using these one-to-one corresponding data points and adopting the least square method for fitting, an accurate fitting coefficient can be obtained.

[0070] During the charging and discharging process of the battery module, the energy value corresponding to the battery module may be missing. In this case, the missing value needs to be supplemented. According to the prior knowledge that the energy value is the accumulation of past electric energy, the energy value at time T must be greater than or equal to the energy value at time T-1 and less than or equal to the energy value at time T+1. The missing energy value can be supplemented according to this condition. In addition to the possibility of missing energy values, the energy value at time T+1 may be less than the energy at time T due to unknown reasons. In this case, the energy value needs to be corrected.

[0071] In some embodiments, after acquiring the energy values ​​and SOC values ​​of the battery module at multiple times, the method further includes: preprocessing the multiple energy values.

[0072] Specifically, preprocessing the multiple energy values ​​includes:

[0073] When the energy value corresponding to time T in the battery module is less than the energy value corresponding to time T-1, the energy value corresponding to time T is corrected; or

[0074] When the energy value at time T is missing in the battery module, the energy value at time T-1 is assigned to time T.

[0075] It should be noted that when the energy value corresponding to time T in the battery module is less than the energy value corresponding to time T-1, the energy value corresponding to time T-1 is assigned to time T to correct the abnormal energy value in the battery module.

[0076] As an example, the preprocessing also includes: time alignment, arranging the SOC data of different battery modules at the same time in order to ensure that the SOC data at time T will not be recorded at T-1 or other times.

[0077] In this embodiment, by preprocessing the energy value, abnormal data caused by equipment errors, environmental interference or inaccurate measurement can be effectively corrected, ensuring that the data used in the subsequent calculation of electric energy efficiency is more accurate.

[0078] During the charging and discharging process of the battery module, the charging power value corresponding to the battery module may be missing. In this case, the missing value needs to be supplemented. According to the prior knowledge that the charging power value is the accumulation of past electric energy, the charging power value at time T must be greater than or equal to the charging power value at time T-1 and less than or equal to the charging power value at time T+1. The missing charging power value can be supplemented according to this condition. In addition to the possibility of missing charging power values, the charging power value may be less than the electric energy at time T+1 due to unknown reasons. In this case, the charging power value needs to be corrected.

[0079] In some embodiments, after acquiring the charging power value charged into the battery module, the detection method further includes: preprocessing the charging power value.

[0080] In some embodiments, preprocessing the charging power value includes:

[0081] When the charging power value corresponding to time T in the battery module is less than the charging power value corresponding to time T-1, the charging power value corresponding to time T is corrected; or

[0082] When the charging power value corresponding to time T in the battery module is missing, the charging power value at time T-1 is assigned to time T.

[0083] As an example, the preprocessing also includes: time alignment, arranging the SOC data of different battery modules at the same time in order to ensure that the SOC data at time T will not be recorded at T-1 or other times.

[0084] In this embodiment, by preprocessing the charging power value, abnormal data caused by equipment errors, environmental interference or inaccurate measurement can be effectively corrected, ensuring that the data used in the subsequent calculation of power efficiency is more accurate.

[0085] When an unknown fault occurs in the battery, the SOC of each battery module may be inconsistent. Figure 4 As shown in the figure, the same battery module cannot maintain consistent slope changes at different times. The inability to maintain consistent slope changes means that the relationship between the charging power value and SOC is not clear. In this case, E ΔSOCThere may be a large error, so the consistency of SOC affects E ΔSOC The higher the SOC consistency, the better the E ΔSOC The higher the accuracy, the higher the confidence of the corresponding power efficiency.

[0086] In addition, the present application also provides a method for evaluating the power efficiency of a battery. The battery includes multiple battery modules. The power efficiency of the battery is equal to the average value of the power efficiency of each battery module. The power efficiency of the battery module is obtained by the above-mentioned power efficiency detection method.

[0087] Take two batteries (each battery includes ten battery modules) as an example. Figure 3 and Figure 4 As shown, based on the collected data, the power efficiency of each battery module in the battery can be obtained respectively, and the power efficiency of the ten battery modules is averaged to obtain the power efficiency of the two batteries, which are 0.957 and 0.948 respectively.

[0088] like Figure 5 As shown, the evaluation methods of battery energy efficiency include:

[0089] A1, when the charging device is charging the battery, the SOC value of each battery module at multiple times is obtained.

[0090] A2, according to the SOC value of each battery module at the same moment, obtain the SOC distance difference between each battery module at that moment.

[0091] It should be noted that the SOC distance difference represents the difference in power between different battery modules at the same moment.

[0092] As an example, when the number of battery modules is 10, each battery module corresponds to 9 SOC distance difference values.

[0093] A3, according to the multiple SOC distance differences corresponding to the battery modules at the same moment, the median of the multiple SOC distance differences corresponding to the battery modules at the moment is obtained.

[0094] A4, averaging a plurality of SOC distance differences corresponding to each battery module at the same time to obtain an average distance corresponding to each battery module.

[0095] As an example, when the battery includes 10 battery modules, each battery module corresponds to 9 SOC distance difference values, and the 3 SOC distance difference values ​​with the smallest values ​​among the 9 SOC distance difference values ​​can be averaged to obtain the average distance.

[0096] A5, according to the average distance and median corresponding to each battery module at multiple moments, the number of outlier moments of the battery's electrical energy efficiency is obtained.

[0097] A6, according to the number of outlier moments and the total number of moments of the electric energy efficiency, the confidence of the electric energy efficiency is obtained.

[0098] As an example, if the confidence of the electric energy efficiency is less than the first confidence threshold, it indicates that the electric energy efficiency obtained in this time period is unreliable, and the electric energy efficiency calculated at the last sampling time of the battery is not updated; if the confidence of the electric energy efficiency is greater than the second confidence threshold, it indicates that the electric energy efficiency obtained in this time period is reliable, and the electric energy efficiency of the battery is updated; if the confidence of the electric energy efficiency is not less than the first confidence threshold and the confidence of the electric energy efficiency is not greater than the second confidence threshold, the electric energy efficiency result calculated in the last sampling time period and the electric energy efficiency result calculated in this sampling time period can be averaged as the final electric energy efficiency in this time period. Among them, the first confidence threshold is less than the second confidence threshold.

[0099] The battery power efficiency evaluation method of the embodiment of the present invention can further identify the moment when the battery performance is abnormal and evaluate the reliability of the calculated power efficiency by determining the confidence level of the battery power efficiency according to the SOC value of the battery module, which helps to improve the overall performance of the battery.

[0100] In some embodiments, the step of obtaining the number of outlier moments of the electric energy efficiency of the battery according to the average distance and the median corresponding to each battery module at multiple moments includes:

[0101] A51, the absolute value of the difference between the average distance and the median corresponding to each battery module at each moment is used as the SOC outlier risk value.

[0102] A52, placing the SOC outlier risk value in a data queue corresponding to each battery module, wherein the data queue is composed of historical SOC outlier risk values ​​of the battery module.

[0103] A53, through the sliding window, obtain the SOC outlier risk value of the target moment and the k moments before it.

[0104] A54, add the obtained k+1 SOC outlier risk values ​​to obtain the target risk value.

[0105] A55, if the target risk value is greater than the outlier threshold, it means that the battery energy efficiency at the target time is outlier.

[0106] It is worth mentioning that at the target moment, if the target risk value corresponding to any battery module is greater than the outlier threshold, the power efficiency of the battery at that moment is outlier.

[0107] It should be noted that the outlier threshold can be adjusted according to the actual situation of the battery and prior knowledge.

[0108] As an example, k can be set to 9 and the outlier threshold can be set to 35, where 35 means that the average target risk value of the SOC value of a battery module is greater than 3.5, which is equivalent to the average deviation distance between the SOC value of the battery module and the SOC values ​​of other battery modules being greater than 3.5 for 10 consecutive moments.

[0109] A56, counting the number of moments when the battery's electric energy efficiency is outliers, and obtaining the number of outlier moments.

[0110] In this embodiment, by comprehensively considering the data corresponding to the battery modules at multiple moments and flexibly using the sliding window, the power efficiency of the battery can be evaluated more accurately, which helps to improve the reliability of the battery and extend its service life.

[0111] In some embodiments, the confidence level of the power efficiency is expressed by the following formula:

[0112]

[0113] Among them, C η Represents the confidence level of electric energy efficiency, T 离群 represents the number of outlier moments, and T represents the total number of moments.

[0114] In this embodiment, the number of SOC outlier moments is easier to obtain than the SOC consistency time, and the confidence of the electric energy efficiency is obtained by the number of outlier moments and the total number of moments, which saves computing resources and improves the accuracy of the calculation.

[0115] In addition, the present application also provides a detection system for electric energy efficiency, characterized in that the detection system comprises:

[0116] The data acquisition module is used to obtain the initial energy value of the charging device and the first SOC value of the battery module at the start time of charging, and to obtain the final energy value of the charging device and the charging power value charged into the battery module at the end time of charging, and is also used to obtain the discharge power value discharged by the battery module and the second SOC value of the battery module at the end time of discharging, wherein the charging device charges the battery module.

[0117] The first data processing module is used to obtain an SOC energy difference corresponding to a difference between the second SOC value and the first SOC value.

[0118] The second data processing module is used to obtain the electric energy efficiency of the battery module according to the initial energy value, the final energy value, the charging power value, the discharging power value and the SOC energy difference.

[0119] The electric energy efficiency detection system of the embodiment of the present invention can accurately calculate the electric energy efficiency by processing the initial energy value, final energy value, charging power value, discharging power value and SOC value of the battery module under non-full charging and discharging conditions, without meeting the full charging and discharging conditions, thereby improving the feasibility and simplicity of electric energy efficiency calculation.

[0120] In addition, the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned method for detecting electric energy efficiency or the method for evaluating battery electric energy efficiency is implemented.

[0121] The computer-readable storage medium of the embodiment of the present invention can accurately calculate the electric energy efficiency by processing the initial energy value, final energy value, charging power value, discharging power value and SOC value of the battery module under non-full charging and discharging conditions, without meeting the full charging and discharging conditions, thereby improving the feasibility and simplicity of the electric energy efficiency calculation.

[0122] In addition, the present application also provides an electronic device, such as Figure 6 As shown, the electronic device 100 includes: a memory 101, a processor 102 and a computer program stored in the memory 101. The memory 101 and the processor 102 are connected, such as through a bus 103. Optionally, the electronic device 100 may also include a transceiver 104. When the computer program is executed by the processor 102, the above-mentioned method for detecting power efficiency or the method for evaluating battery power efficiency is implemented. It should be noted that in actual applications, the transceiver 104 is not limited to one, and the structure of the electronic device 100 does not constitute a limitation on the embodiments of the present invention.

[0123] The processor 102 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. The processor 102 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0124] The bus 103 may include a path to transmit information between the above components. The bus 103 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 103 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0125] The memory 101 is used to store a computer program corresponding to the method for detecting the electric energy efficiency or the method for evaluating the electric energy efficiency of a battery in the above-mentioned embodiment of the present invention, and the computer program is controlled and executed by the processor 102. The processor 102 is used to execute the computer program stored in the memory 101 to implement the contents shown in the above-mentioned embodiment of the battery pack abnormality detection method.

[0126] in, Figure 6 The electronic device 100 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0127] The electronic device 100 of the embodiment of the present invention can accurately calculate the power efficiency by executing the power efficiency detection method or the battery power efficiency evaluation method, and by processing the initial energy value, final energy value, charging power value, discharging power value and SOC value of the battery module under the acquired non-full charging and discharging conditions, without satisfying the full charging and discharging conditions, thereby improving the feasibility and simplicity of power efficiency calculation. It can also further identify the moment when the battery performance is abnormal, and evaluate the reliability of the calculated power efficiency, which helps to improve the overall performance of the battery.

[0128] In addition, the present application also provides a computer program product, including a computer program or instructions, wherein when the computer program or instructions are executed, any of the above-mentioned methods for detecting electric energy efficiency or methods for evaluating battery electric energy efficiency is implemented.

[0129] The computer program product of the embodiment of the present invention can accurately calculate the power efficiency by executing the power efficiency detection method or the battery power efficiency evaluation method, and by processing the initial energy value, final energy value, charging power value, discharging power value and SOC value of the battery module under the acquired non-full charging and discharging conditions, without satisfying the full charging and discharging conditions, thereby improving the feasibility and simplicity of power efficiency calculation. It can also further identify the moment when the battery performance is abnormal, and evaluate the reliability of the calculated power efficiency, which helps to improve the overall performance of the battery.

[0130] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely exemplary and are not intended to limit the scope of the present application to this. Those of ordinary skill in the art may make various changes and modifications therein without departing from the scope and spirit of the present application. All these changes and modifications are intended to be included within the scope of the present application as required by the appended claims.

[0131] 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.

[0132] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0133] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0134] Similarly, it should be understood that in order to streamline the present application and help understand one or more of the various inventive aspects, in the description of the exemplary embodiments of the present application, the various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, the method of the present application should not be interpreted as reflecting the following intention: the claimed application requires more features than the features clearly stated in each claim. More specifically, as reflected in the corresponding claims, the inventive point is that the corresponding technical problem can be solved with features less than all the features of a single disclosed embodiment. Therefore, the claims following the specific embodiment are hereby explicitly incorporated into the specific embodiment, wherein each claim itself serves as a separate embodiment of the present application.

[0135] It will be understood by those skilled in the art that, except for mutually exclusive features, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this specification may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0136] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present application and form different embodiments. For example, in the claims, any one of the claimed embodiments may be used in any combination.

[0137] The various component embodiments of the present application can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all functions of some modules according to the embodiments of the present application. The application can also be implemented as a device program (e.g., computer program and computer program product) for executing a part or all of the methods described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0138] It should be noted that the above embodiments illustrate the present application rather than limit the present application, and that those skilled in the art may design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets should not be constructed as a limitation to the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of multiple such elements. The present application may be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim that lists several devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names.

[0139] The above is only a specific implementation or description of a specific implementation of the present application, and the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. The protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for detecting electric energy efficiency, characterized in that: The detection method comprises: Acquire the initial energy value of the charging device and the first SOC value of the battery module at the start time of charging, and acquire the final energy value of the charging device and the charging power value of the battery module at the end time of charging, wherein the charging device charges the battery module; Acquire a discharge quantity value of the battery module and a second SOC value of the battery module at the end of discharge; Obtaining an SOC energy difference corresponding to a difference between the second SOC value and the first SOC value; The electric energy efficiency of the battery module is obtained according to the initial energy value, the final energy value, the charging power value, the discharging power value and the SOC energy difference value.

2. The method for detecting electric energy efficiency according to claim 1, characterized in that: The step of obtaining an SOC energy difference corresponding to a difference between the second SOC value and the first SOC value comprises: Multiplying the difference between the second SOC value and the first SOC value by a fitting coefficient to obtain the SOC energy difference; The fitting coefficient represents the rate of change of the SOC energy difference with the difference between the second SOC value and the first SOC value.

3. The method for detecting electric energy efficiency according to claim 2, characterized in that: The fitting coefficients are obtained by the following steps: Acquire energy values ​​and SOC values ​​of the battery module at multiple moments, wherein the SOC value corresponds to the energy value one by one; The fitting coefficient is obtained by adopting the least square method according to the multiple energy values ​​and the multiple SOC values.

4. The method for detecting electric energy efficiency according to any one of claims 1 to 3, characterized in that: The electrical energy efficiency is expressed by the following formula: Among them, E η Indicates electrical energy efficiency, E 充 Indicates the charging capacity value, E 放 Indicates the discharge capacity value, E ΔSOC Indicates the SOC energy difference, E 终 Represents the final energy value, E 始 Represents the initial energy value.

5. The method for detecting electric energy efficiency according to claim 4, characterized in that: After acquiring the energy value and SOC value of the battery module at multiple moments, the method further includes: Preprocessing is performed on the plurality of energy values.

6. The method for detecting electric energy efficiency according to claim 5, characterized in that: The pre-processing comprises: When the energy value corresponding to time T in the battery module is less than the energy value corresponding to time T-1, correcting the energy value corresponding to time T; or When the energy value at time T is missing in the battery module, the energy value at time T-1 is assigned to time T.

7. The method for detecting electric energy efficiency according to claim 1, characterized in that: After obtaining the charging power value charged into the battery module, the detection method further includes: The charging power value is preprocessed.

8. The method for detecting electric energy efficiency according to claim 7, characterized in that: The pre-processing comprises: When the charging power value corresponding to time T in the battery module is less than the charging power value corresponding to time T-1, correcting the charging power value corresponding to time T; or When the charging power value corresponding to time T in the battery module is missing, the charging power value at time T-1 is assigned to time T.

9. A method for evaluating battery power efficiency, wherein the battery comprises a plurality of battery modules, the power efficiency of the battery is equal to the average power efficiency of each of the battery modules, and the power efficiency of the battery module is obtained by the power efficiency detection method according to any one of claims 1 to 8, characterized in that: The evaluation methods include: When the charging device charges the battery, obtaining the SOC value of each battery module at multiple moments; According to the SOC values ​​of the battery modules at the same moment, obtaining the SOC distance difference between the battery modules at that moment; According to the multiple SOC distance difference values ​​corresponding to the battery modules at the same moment, the median of the multiple SOC distance difference values ​​corresponding to the battery modules at the moment is obtained; Averaging a plurality of SOC distance differences corresponding to each of the battery modules at the same time to obtain an average distance corresponding to each of the battery modules; Obtaining the number of outlier moments of the electric energy efficiency of the battery according to the average distances and medians corresponding to the battery modules at multiple moments; The confidence level of the electric energy efficiency is obtained according to the number of outlier moments and the total number of moments of the electric energy efficiency.

10. The method for evaluating battery power efficiency according to claim 9, characterized in that: The step of obtaining the number of outlier moments of the electric energy efficiency of the battery according to the average distance and the median corresponding to each of the battery modules at multiple moments comprises: The absolute value of the difference between the average distance and the median corresponding to each battery module at each time is used as the SOC outlier risk value; placing the SOC outlier risk value in a data queue corresponding to each of the battery modules, wherein the data queue is composed of historical SOC outlier risk values ​​of the battery modules; Through the sliding window, the SOC outlier risk value of the target moment and the k moments before it is obtained; Add the obtained k+1 SOC outlier risk values ​​to get the target risk value; If the target risk value is greater than the outlier threshold, it means that the power efficiency of the battery at the target moment is outlier; The number of moments when the electric energy efficiency of the battery is outliers is counted to obtain the number of outlier moments.

11. The method for evaluating battery power efficiency according to claim 9, characterized in that: The confidence level of the electric energy efficiency is expressed by the following formula: Among them, C η Represents the confidence level of electric energy efficiency, T 离群 represents the number of outlier moments, and T represents the total number of moments.

12. A detection system for electric energy efficiency, characterized in that: The detection system comprises: a data acquisition module, used to acquire the initial energy value of the charging device and the first SOC value of the battery module at the start time of charging, and to acquire the final energy value of the charging device and the charging power value charged into the battery module at the end time of charging, and to acquire the discharge power value discharged by the battery module and the second SOC value of the battery module at the end time of discharging, wherein the charging device charges the battery module; A first data processing module, configured to obtain an SOC energy difference corresponding to a difference between the second SOC value and the first SOC value; The second data processing module is used to obtain the electric energy efficiency of the battery module according to the initial energy value, the final energy value, the charging power value, the discharging power value and the SOC energy difference.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for detecting electric energy efficiency according to any one of claims 1 to 8 or the method for evaluating battery electric energy efficiency according to any one of claims 9 to 11 is implemented.

14. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: When the computer program is executed by the processor, the method for detecting electric energy efficiency according to any one of claims 1 to 8 or the method for evaluating battery electric energy efficiency according to any one of claims 9 to 11 is implemented.

15. A computer program product comprising a computer program or instructions, wherein: When the computer program or instruction is executed, the method for detecting electric energy efficiency according to any one of claims 1 to 8 or the method for evaluating battery electric energy efficiency according to any one of claims 9 to 11 is implemented.

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