Dust monitoring and power generation efficiency evaluation device and method

Abstract

The invention discloses a dust monitoring and power generation efficiency evaluation device and method. The dust monitoring and power generation efficiency evaluation device comprises a photovoltaic power generation battery piece C1, a photovoltaic power generation battery piece WF, a cleaning device, a power generation monitoring device and a control unit, the output end of the control unit is connected to the cleaning device, and the control unit is used for driving the cleaning device to clean the photovoltaic power generation battery piece C1; the power generation monitoring device is used for monitoring the power generation amount of the photovoltaic power generation battery pieces C1 and WF, and the output end of the power generation monitoring device is connected to the control unit. The control unit is connected with the man-machine interaction module, and the man-machine interaction module inputs a signal to the control unit and displays an evaluation result. The device has the advantages that quantitative testing between the power generation efficiency of the photovoltaic panel and dust is achieved, a quantitative basis is provided for cleaning of a photovoltaic power generation field, and power generation loss under the influence of dust is quantified.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic power generation monitoring and test evaluation, and in particular to a dust monitoring and power generation efficiency evaluation device and method. Background Art

[0002] Photovoltaic power generation has been promoted and applied in China as a clean energy source. Photovoltaic cells are used to convert solar energy into electrical energy for storage and even connected to the power grid, thereby achieving the purpose of converting solar energy into electrical energy. The power generation efficiency or power generation of solar photovoltaic panels will be affected by factors such as climate, light, and dust. Taking dust as an example, in a large direction, the more dust there is, the lower the power generation efficiency and the less power generation. Therefore, the prior art often uses the method of cleaning solar panels to solve the problems of low power generation and low power generation efficiency. For example, the walking wheel structure of a photovoltaic panel cleaning robot and a photovoltaic panel cleaning robot with patent application number 202121675397.6, wherein the walking wheel structure of the photovoltaic panel cleaning robot includes: an adjustment fixing plate; at least one adjustment fixing plate support plate is fixed on the adjustment fixing plate.

[0003] The structure disclosed in this patent can realize the cleaning of photovoltaic panels, thereby achieving the purpose of improving power generation efficiency. However, in the actual engineering application process, the dust coverage rate in different places is different, and thus the impact on the power generation of photovoltaic panels is also different. Therefore, when cleaning photovoltaic panels, there is no basis for arbitrarily setting the cleaning time or cleaning based on experience or observation. This lack of scientific basis and data support. There is no related technology disclosed in the prior art to obtain quantitative evaluation parameters for the quantitative evaluation test of photovoltaic panel power generation. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a dust monitoring and power generation efficiency evaluation device and method to achieve quantitative testing between photovoltaic panel power generation efficiency and dust, and provide a quantitative basis for the cleaning of photovoltaic power plants.

[0005] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a dust monitoring and power generation efficiency evaluation device, including a photovoltaic power generation cell C1, a photovoltaic power generation cell WF, a cleaning device, a power generation monitoring device and a control unit; the output end of the control unit is connected to the cleaning device, which is used to drive the cleaning device to clean the photovoltaic power generation cell C1; the power generation monitoring device is used to monitor the power generation of the photovoltaic power generation cells C1 and WF respectively, and its output end is connected to the control unit; the control unit is connected to a human-computer interaction module, and the human-computer interaction module inputs signals to the control unit and displays the evaluation results.

[0006] The device also includes an irradiation sensor, which is used to collect the irradiation value of sunlight. The output end of the irradiation sensor is connected to a control unit, and the control unit is used to control the working state of the power generation monitoring device according to the irradiation value and record the corresponding power generation signal.

[0007] The control unit is provided with evaluation software for calculating evaluation parameters between dust and power generation efficiency.

[0008] An evaluation and control method for a dust monitoring and power generation efficiency evaluation device comprises the following steps:

[0009] Phase 1: Install the photovoltaic power generation cell C1, the photovoltaic power generation cell WF, and the cleaning device in the photovoltaic power generation field and configure them to work;

[0010] After the evaluation is started, the control unit drives the cleaning device to clean the photovoltaic power generation cell C1 to keep the cell C1 in a clean state; the photovoltaic power generation cell WF is placed in the environment; the control unit monitors the irradiation value of the environment where the power generation site is located in real time, and after the irradiation value is greater than the set threshold, the power generation monitoring device is used to collect the power generation of the cells C1 and WF, and the power of the two at the same time is recorded as C11 and WF1 respectively;

[0011] The parameter K2 is calculated based on the recorded power generation C11 and WF1, where K2 = WF1 / C11; the parameter K2 is a parameter for evaluating the impact of dust on power generation efficiency.

[0012] After the first stage is completed, the power generation monitoring device is suspended from collecting and recording the power generation, and the cleaning device is controlled to clean the battery cell WF; after the cleaning is completed, the control unit monitors the irradiation value of the environment in the power generation site in real time. After the irradiation value is greater than the set threshold, the power generation of the battery cells C1 and WF is collected through the power generation monitoring device, and the power of the two at the same time is recorded as C12 and WF2 respectively; the parameter K3 is calculated based on the recorded power generation C12 and WF2, where K3=WF2 / C12, and the power loss after cleaning is evaluated based on K3.

[0013] A dust impact variable K4 is set, where K4 = K3 - K2, and the impact of dust cleaning on the power generation of photovoltaic cells before and after is evaluated based on K4.

[0014] When conducting evaluation tests on a photovoltaic power generation area, multiple test areas are divided within the area, and an evaluation device is installed in each test area. The values ​​of evaluation parameters K2, K3, and K4 are calculated for each area, and then the cleaning frequency of solar cells in different areas of the area is adjusted according to the values ​​of evaluation parameters K2, K3, and K4.

[0015] Based on historical data analysis, power generation data of cells at different locations in the field are obtained. After analyzing the data, several cells with stable power generation are selected as photovoltaic power generation cells WF. Then, corresponding power generation monitoring devices are installed to calculate the parameter K4 generated by comparing each cell with stable power generation with the cell C1 to obtain the parameter K4 for calibrating the dust image in the power plant.

[0016] The evaluation device has two battery cells C1. During evaluation, one of them is controlled to be in a cleaning state, and the other is configured to be in the same environment as the battery cell WF. The abnormal data is monitored and eliminated through the working data of the two battery cells C1.

[0017] The advantages of the present invention are: it is used to realize quantitative testing between photovoltaic panel power generation efficiency and dust, provides quantitative basis for the cleaning of photovoltaic power fields, quantifies the power generation loss under the influence of dust, and at the same time, based on the device, it can also realize dust image evaluation of the entire photovoltaic power field, provides basic data for the promotion and application of photovoltaic power generation, and reduces the operation and maintenance cost and efficiency of photovoltaic power fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The following is a brief description of the contents expressed in the drawings of the present invention and the symbols in the drawings:

[0019] Figure 1 It is a schematic diagram of the principle of the evaluation device of the present invention. DETAILED DESCRIPTION

[0020] The specific implementation of the present invention will be further explained in detail below by describing the optimal embodiment with reference to the accompanying drawings.

[0021] The evaluation device provided in this embodiment can be used to quantitatively evaluate the impact of dust in a photovoltaic power plant on power generation efficiency. The evaluation results can provide reference data for adjusting the frequency of cleaning solar panels in the field, thereby maximizing power generation efficiency. Figure 1 As shown, the present solution provides a dust monitoring and power generation efficiency evaluation device, including a photovoltaic power generation cell C1, a photovoltaic power generation cell WF, a cleaning device, a power generation monitoring device and a control unit;

[0022] The output end of the control unit is connected to the cleaning device, which is used to drive the cleaning device to clean the photovoltaic power generation cell C1; the photovoltaic power generation cell WF is a real working cell in the power field or a photovoltaic cell in a simulated real working state of the power field, and the cell works according to the photovoltaic working environment in the photovoltaic field, so that it works in the presence of dust;

[0023] The power generation monitoring device is used to monitor the power generation of photovoltaic power generation cells C1 and WF respectively, and its output end is connected to the control unit; during the evaluation, the power generation of cells C1 and WF is monitored respectively through the power generation monitoring device, and the difference in power generation can reflect the power generation efficiency under the influence of dust. The power generation monitoring device can convert the power into electricity through an electric meter or by monitoring the voltage and current of the power generation.

[0024] The control unit is connected to the human-machine interaction module, which inputs signals to the control unit and displays the evaluation results. The human-machine interaction module can be a large touch screen, display screen, etc. The built-in software of the control unit calculates and processes the collected power generation to obtain the corresponding evaluation parameters, which are used to evaluate the power generation state parameters at this time. These parameters can provide basic parameters for managing the electric field. The control unit can be a data processing and server, which can be set up at the test site or in the monitoring room. If it is set up in the monitoring room, it is necessary to configure network interaction, obtain the power generation collected on site, and remotely control the cleaning device, etc.

[0025] In a preferred embodiment, the device further includes an irradiation sensor for collecting the irradiation value of sunlight, and the output end of the irradiation sensor is connected to the control unit, and the control unit is used to control the working state of the power generation monitoring device according to the irradiation value and record the corresponding power generation signal. Only when the irradiation is greater than the set requirement, the collection and statistical recording of the power quantity is started, which facilitates the analysis and processing of the power quantity to obtain the corresponding evaluation parameters.

[0026] In the present application, an evaluation software is configured in the control unit for calculating the evaluation parameters between dust and power generation efficiency. The calculation method is integrated into the evaluation software, and the calculation of the evaluation parameters is realized through the evaluation software, wherein the evaluation parameters include K2, K3, and K4. For the specific calculation of the evaluation parameters, please refer to the description in the following embodiment.

[0027] This embodiment also provides an evaluation control method of a dust monitoring and power generation efficiency evaluation device, comprising the following steps:

[0028] Phase 1: Install the photovoltaic power generation cell C1, the photovoltaic power generation cell WF, and the cleaning device in the photovoltaic power generation field and configure them to work;

[0029] After the evaluation is started, the control unit drives the cleaning device to clean the photovoltaic power generation cell C1 to keep the cell C1 in a clean state; the photovoltaic power generation cell WF is placed in the environment; the control unit monitors the irradiation value of the environment where the power generation site is located in real time, and after the irradiation value is greater than the set threshold, the power generation monitoring device is used to collect the power generation of the cells C1 and WF, and the power of the two at the same time is recorded as C11 and WF1 respectively;

[0030] The parameter K2 is calculated based on the recorded power generation C11 and WF1, where K2 = WF1 / C11; the parameter K2 is a parameter for evaluating the impact of dust on power generation efficiency.

[0031] After the first stage is completed, the second stage begins. In the second stage, the power generation monitoring device is suspended from collecting and recording the power generation. At this time, the cleaning device is controlled to clean the battery cell WF. After the cleaning is completed, the control unit monitors the irradiation value of the environment in the power generation site in real time. After the irradiation value is greater than the set threshold, the power generation of the battery cells C1 and WF is collected through the power generation monitoring device, and the power of the two at the same time is recorded as C12 and WF2 respectively. The parameter K3 is calculated based on the recorded power generation C12 and WF2, where K3=WF2 / C12, and the power loss after cleaning is evaluated based on K3.

[0032] A dust impact variable K4 is set, where K4 = K3 - K2, and the impact of dust cleaning on the power generation of photovoltaic cells before and after is evaluated based on K4.

[0033] The above calculations can be used to obtain the dust impact assessment parameters K2 and K4. Based on these parameters, the impact of dust and post-dust cleaning on power generation can be quantitatively characterized. Based on these parameters, the corresponding power plant cleaning strategy can be set, and the solar panel cleaning can be completed through the cleaning strategy.

[0034] In order to more completely analyze the dust impact in different locations and areas of the entire solar power plant, the following two solutions can be adopted:

[0035] Solution 1: When evaluating and testing a photovoltaic power generation area, multiple test areas are divided within the area, and an evaluation device is installed in each test area. The values ​​of evaluation parameters K2, K3, and K4 are calculated for each area, and then the cleaning frequency of solar cells in different areas of the area is adjusted according to the values ​​of evaluation parameters K2, K3, and K4.

[0036] Solution 2: Based on historical data analysis, the power generation data of cells at different locations in the field are obtained. After analyzing the data, several cells with stable power generation are selected as photovoltaic power generation cells WF. Then, the corresponding power generation monitoring device is installed to compare the parameter K4 generated by each cell with stable power generation with the cell C1 to obtain the parameter K4 for calibrating the dust image in the power plant.

[0037] In a preferred embodiment, in order to have a control and parameter significance in the evaluation test process and avoid deviations in the evaluation test process, the evaluation device has two battery cells C1. During the evaluation, one of them is controlled to be in a cleaning state and the other is configured to be the same as the battery cell WF environment; abnormal data is monitored and eliminated through the working data of the two battery cells C1.

[0038] In this embodiment, the power generation loss of the photovoltaic modules in the local or the entire field area due to dust influence is monitored, and the corresponding evaluation parameters are obtained, specifically as follows:

[0039] ● The first stage:

[0040] ● 1. Install the measuring device at the position of the power generation branch. The installation method needs to be consistent with the branch. After installation, when the irradiance value is greater than 400W / M 2 (not absolute) and above, start recording the power generation of the branch and the monitoring device, and at the same time record the power generation data of C1; this data accumulation can be extended to one week or extended according to local conditions. The purpose is to test the relationship between the WF of the component branch in the original uncleaned state and the cleaning device C1. Note: It is necessary to always keep C1 clean. K2 = WF / C1; if conditions permit, several groups of tests can be carried out to find the average value of k2

[0041] ● 2. After the first sub-stage is completed, start cleaning the branch components. After cleaning, when the irradiance value is greater than 400W / M 2 (not absolute) and above, start recording the power generation CF of the branch and the power generation of the monitoring device. The first stage mode can be referred to for data calibration. The calibration result is named: k3; k3 = the selected power generation unit CF / c1; if conditions permit, several groups of data can be tested to find the average value of k3;

[0042] ● The second stage: After the tests and recordings of K2 and K3 are completed, check the differences. Theoretically, the data after cleaning will be larger than that in the uncleaned state, that is, K3>K2; the result obtained represents the power difference caused by cleaning. If the values are equal or K3<K2, please check the equipment or select the comparison power generation unit to see if it is working properly. After troubleshooting, test again;

[0043] ● Conclusion: Since C1 is always in a clean state in the front, the situation where C1 affects the power generation of the C1 battery due to dust can be excluded. Introduce the dust influence variable k4, k4 = K3 - K2, and the result obtained is the influence caused by dust;

[0044] ● The third stage: The above results only represent the influence of dust on this power generation unit and do not represent the influence of dust on the entire field area. Therefore, two solutions are proposed to evaluate the influence of the measuring equipment on the entire field area:

[0045] ● 1. Multiple sets of measuring equipment can be used for direct measurement

[0046] ● Carry out the test in the above way to obtain the dust impact within the range. According to the actual situation of each place, you can choose a suitable range to install several measuring devices, that is, introduce multiple K3X and K2X, and obtain multiple K4X to calculate the power generation impact of each area caused by dust. Advantages: direct data feedback, directly follow up the K4X value to get a relatively accurate power generation loss caused by dust; Disadvantages: too many measuring devices are invested, and it is impossible to accurately reflect the power loss of the power generation system other than dust, such as equipment conversion efficiency, component performance degradation, etc.

[0047] ●2. Calculate using fewer measuring devices and representative benchmark branches of the power station, combined with historical data of the power station

[0048] ●2.1 All branch data in the station can be manually corrected and matched with algorithms to filter out abnormal data. After elimination, a relatively stable power generation branch can be found through a suitable algorithm. Then, the applicable area of ​​the benchmark branch can be determined by the location of the string inverter and combiner box. After the scope is determined, the scope will be communicated with the on-site staff to finally determine whether to use this branch as the benchmark branch.

[0049] ●2.2 After the branch situation is confirmed,

[0050] ●2.2.1 By analyzing the relationship between stable and unstable data and using the data impact measured by your device, you can try to build a mapping or model to estimate the impact of the environment on unstable data. The key to this method is to find the correlation or pattern between stable and unstable data, and then apply these findings to explain or predict changes in unstable data. Because each power station data type is different, it is impossible to combine the data to give a specific actual case. The following are some model data processing suggestions, as described below.

[0051] ●2.2.2 Here are some steps to implement this plan:

[0052] ●Data preprocessing: First, you need to clean and preprocess the data to ensure the quality and consistency of the data. This may include handling missing values, outliers, and converting data formats.

[0053] ●Feature Engineering: Next, you can extract features from the stable and unstable data, which may include statistical features (such as mean, standard deviation) or time series features (such as trend, seasonality).

[0054] ●Build a model: Using the extracted features, you can build a predictive model to estimate the impact of the environment on unstable data. This may involve using regression analysis, time series analysis, or machine learning algorithms.

[0055] Validation and testing: Once you have built your model, you need to validate and test it to ensure its accuracy and reliability. This may include using cross-validation, holding out a test set, or simulating data.

[0056] ● Apply and optimize: Finally, you can apply the model to real data and adjust and optimize it as needed.

[0057] ●2.3 Select one or several relatively stable branches according to the above model, install monitoring equipment within the range of this group of branches, and automatically calculate the impact of dust on power generation through the above model, benchmark branch monitoring data and dust monitoring equipment data K4.

[0058] ●Phase 4: Mutual verification of data and devices

[0059] ● In order to ensure the influence of the measuring device itself, the measuring equipment has two sets of devices with the same specifications and cleaning methods, namely C1 and D1, corresponding to battery cell 1 and battery cell 2;

[0060] ●There are two purposes

[0061] ●1. The data of the measuring device itself is verified: Therefore, the variable K1 is introduced. K1: As the evaluation of the two photovoltaic cells of the dust measuring device, the power of the two cells can be tested separately in the standard test environment. When testing the cleaning device, it is necessary to refer to the STC (Standard Test Conditions) photovoltaic module test standard or the NOCT (Normal Operating Cell Temperature) photovoltaic module test standard to test the power of the two photovoltaic cells on the device. After the test, K1 = C1 (cell 1 at the device position) / D1 (cell 2 at the device position) can be used to determine the power relationship of the two photovoltaic cells. The best relationship is K1 = 1, that is, the specifications and powers of the two measuring device cells are completely consistent; mainly because there may be basic power differences in the device cells. If the power of the two groups of cells is exactly the same (after testing according to the above test standards, all performances have no difference), the influence of K1 can be ignored. After the K1 value is determined, the K1, C1, and D1 cell measurement parameters should be calibrated in the device nameplate. If the above three values ​​change after verification later, the nameplate coefficient needs to be reprinted to ensure the accuracy of the measuring device. Theoretically, C1 will always be in a clean state, and D1 and the selected calibration branch will be contaminated in the natural environment. D1 is not cleaned, which has restored the on-site dirtiness to the greatest extent. The internal feedback data of the device should be K1>1. If the data shows K1≤1, check whether the measuring equipment is damaged or has other abnormalities.

[0062] ●2. Allow D1 and the selected calibration branch to be contaminated in the natural environment. D1 is not cleaned to restore the dirty situation on site to the greatest extent. The D1 device can be used as an auxiliary verification of the uncleaned branch in the field. In theory, the data trend of D1 should be proportional to the component branch WF in the original uncleaned state and inversely proportional to K4. If any abnormal situation occurs, please eliminate the data abnormality and check whether the measuring equipment is damaged or has other abnormalities.

[0063] Through the above scheme, quantitative parameter calculation is performed to obtain the evaluation parameters for evaluating the relationship between photovoltaic dust and power generation, which has certain application value in the photovoltaic industry and can measure the power generation of photovoltaic modules in clean and polluted states in real time. Through comparative analysis, the specific impact of dust accumulation on the power generation of photovoltaic modules is determined, and the power generation loss caused by dust is quantified; direct measurement and multiple measurement equipment combined with benchmark branches are used to evaluate the dust impact of the entire site. The reliability and accuracy of the monitoring results are ensured through device self-verification and data cross-validation.

[0064] The evaluation parameters K2, K3, and K4 obtained through the above scheme provide a scientific basis for the operation and maintenance of photovoltaic power stations, which helps to formulate more effective cleaning and maintenance plans, thereby improving power generation efficiency. By accurately evaluating the impact of dust, power stations can reasonably allocate cleaning resources, avoid excessive cleaning, and save operation and maintenance costs. The introduction of monitoring devices helps to promptly discover and solve the problem of power generation decline and improve the overall operating efficiency of photovoltaic power stations.

[0065] Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention, they are all within the protection scope of the present invention.

Claims

1. A dust monitoring and power generation efficiency evaluation device, characterized in that: It includes a photovoltaic power generation cell C1, a photovoltaic power generation cell WF, a cleaning device, a power generation monitoring device and a control unit; the output end of the control unit is connected to the cleaning device, which is used to drive the cleaning device to clean the photovoltaic power generation cell C1; the power generation monitoring device is used to monitor the power generation of the photovoltaic power generation cells C1 and WF respectively, and its output end is connected to the control unit; the control unit is connected to a human-computer interaction module, and the human-computer interaction module inputs signals to the control unit and displays evaluation results.

2. A dust monitoring and power generation efficiency evaluation device as claimed in claim 1, characterized in that: The device also includes an irradiation sensor, which is used to collect the irradiation value of sunlight. The output end of the irradiation sensor is connected to a control unit, and the control unit is used to control the working state of the power generation monitoring device according to the irradiation value and record the corresponding power generation signal.

3. A dust monitoring and power generation efficiency evaluation device as claimed in claim 1 or 2, characterized in that: The control unit is provided with evaluation software for calculating evaluation parameters between dust and power generation efficiency.

4. An evaluation and control method for the dust monitoring and power generation efficiency evaluation device according to any one of claims 1 to 3, characterized in that: The steps include: Phase 1: Install the photovoltaic power generation cell C1, the photovoltaic power generation cell WF, and the cleaning device in the photovoltaic power generation field and configure them to work; After the evaluation is started, the control unit drives the cleaning device to clean the photovoltaic power generation cell C1 to keep the cell C1 in a clean state; the photovoltaic power generation cell WF is placed in the environment; the control unit monitors the irradiation value of the environment where the power generation site is located in real time, and after the irradiation value is greater than the set threshold, the power generation monitoring device is used to collect the power generation of the cells C1 and WF, and the power of the two at the same time is recorded as C11 and WF1 respectively; The parameter K2 is calculated based on the recorded power generation C11 and WF1, where K2 = WF1 / C11; the parameter K2 is a parameter for evaluating the impact of dust on power generation efficiency.

5. The evaluation and control method of the dust monitoring and power generation efficiency evaluation device according to claim 4, characterized in that: After the first stage is completed, the power generation monitoring device is suspended from collecting and recording the power generation, and the cleaning device is controlled to clean the battery cell WF; after the cleaning is completed, the control unit monitors the irradiation value of the environment in the power generation site in real time. After the irradiation value is greater than the set threshold, the power generation of the battery cells C1 and WF is collected through the power generation monitoring device, and the power of the two at the same time is recorded as C12 and WF2 respectively; the parameter K3 is calculated based on the recorded power generation C12 and WF2, where K3=WF2 / C12, and the power loss after cleaning is evaluated based on K3.

6. The evaluation and control method of the dust monitoring and power generation efficiency evaluation device according to claim 5, characterized in that: A dust impact variable K4 is set, where K4 = K3 - K2, and the impact of dust cleaning on the power generation of photovoltaic cells before and after is evaluated based on K4.

7. The evaluation and control method of the dust monitoring and power generation efficiency evaluation device according to any one of claims 4 to 6, characterized in that: When conducting evaluation tests on a photovoltaic power generation area, multiple test areas are divided within the area, and an evaluation device is installed in each test area. The values ​​of evaluation parameters K2, K3, and K4 are calculated for each area, and then the cleaning frequency of solar cells in different areas of the area is adjusted according to the values ​​of evaluation parameters K2, K3, and K4.

8. The evaluation and control method of the dust monitoring and power generation efficiency evaluation device according to any one of claims 4 to 6, characterized in that: Based on historical data analysis, power generation data of cells at different locations in the field are obtained. After analyzing the data, several cells with stable power generation are selected as photovoltaic power generation cells WF. Then, corresponding power generation monitoring devices are installed to calculate the parameter K4 generated by comparing each cell with stable power generation with the cell C1 to obtain the parameter K4 for calibrating the dust image in the power plant.

9. The evaluation and control method of the dust monitoring and power generation efficiency evaluation device according to any one of claims 4 to 6, characterized in that: The evaluation device has two battery cells C1. During evaluation, one of them is controlled to be in a cleaning state, and the other is configured to be in the same environment as the battery cell WF. The abnormal data is monitored and eliminated through the working data of the two battery cells C1.

Images