Remote online operation and maintenance method and platform for power generation side storage battery

Abstract

The invention provides a remote online operation and maintenance method and platform for a power generation side storage battery, and the method comprises the steps that a server issues a capacity checking test instruction to an electrochemical impedance digital sensor module corresponding to each to-be-tested single battery based on the capacity checking test triggering operation of a user; the electrochemical impedance digital sensor module controls the to-be-tested single battery to discharge from a full electric quantity, when the electric capacity is discharged to each candidate electric capacity, electrochemical impedance spectroscopy analysis is carried out on the to-be-tested single battery, and a first multi-frequency internal resistance atlas when the electric capacity of the to-be-tested single battery is at each candidate electric capacity is tested; and performing similarity comparison on the first multi-frequency internal resistance atlas corresponding to each candidate capacitance and a first standard multi-frequency internal resistance atlas corresponding to the candidate capacitance to determine a target capacitance, and determining the target capacitance as a nuclear capacity test result of the to-be-tested single battery. Through the method, the workload of testers is reduced.

Description

Technical Field

[0001] This application relates to the technical field of storage batteries, and in particular to a remote online operation and maintenance method and platform for storage batteries on the power generation side. Background Art

[0002] In the field of power production, storage batteries have become an indispensable part of substations due to their excellent energy storage characteristics. Among them, when using a substation to convert the generated electric energy, a DC power supply is required to supply power to the substation. If the DC power supply fails and cannot supply power to the substation normally, the storage battery, as a backup power supply, replaces the DC power supply to supply power to the substation. If there is a problem with the storage battery, it will directly cause the power supply mode of the substation to collapse and trigger major operation accidents. At the same time, the storage battery is also used to store the generated electric energy. Therefore, in daily maintenance work, it is an essential link to regularly carry out the capacity verification test of the storage battery.

[0003] The traditional method for capacity verification testing of storage batteries requires removing the storage battery from the battery pack, connecting it to a dedicated test instrument, performing a complete charge and discharge cycle, and then calculating the capacity based on the discharge curve. This testing method requires the staff to reach the site where the storage battery is located, which is not only time-consuming and laborious but also poses a safety risk to the testers. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a remote online operation and maintenance method and platform for storage batteries on the power generation side, so as to reduce the workload of users (i.e., the testing staff) and ensure the safety of users at the same time.

[0005] In a first aspect, an embodiment of this application provides a remote online operation and maintenance method for storage batteries on the power generation side. The method is applied to a remote online operation and maintenance platform for storage batteries on the power generation side. The platform includes a platform service layer and a device perception layer deployed at the power production site. The device perception layer includes at least one battery pack and an electrochemical impedance digital sensor module corresponding to each single battery to be tested in each battery pack. The platform service layer includes a server. The method includes:

[0006] The server issues a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each single battery to be tested based on the user's capacity verification test trigger operation.

[0007] For each of the to-be-tested single cells, after receiving the capacity verification test instruction, the electrochemical impedance digital sensor module corresponding to the to-be-tested single cell controls the to-be-tested single cell to discharge starting from full charge. When the capacitance discharges to each candidate capacitance, an electrochemical impedance spectroscopy analysis is performed on the to-be-tested single cell to test the first multi-frequency internal resistance spectrum of the to-be-tested single cell when its capacitance is at each candidate capacitance; wherein, the candidate capacitances are determined in the order of capacitance from full charge to complete discharge based on a preset discharge amplitude.

[0008] For each of the candidate capacitances, the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance is compared with the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance for similarity, and a target capacitance is determined from the multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the to-be-tested single cell; wherein, each of the first standard multi-frequency internal resistance spectra is obtained by performing electrochemical impedance spectroscopy analysis on a large number of single cells at the candidate capacitance.

[0009] Combined with the first aspect, the embodiment of the present application provides a first possible implementation manner of the first aspect. Wherein, the platform further includes a data transmission layer and an edge computing layer deployed at the power production site. The data transmission layer includes a wireless communication module, and the edge computing layer includes an edge computing terminal and a serial communication protocol conversion module; the platform service layer further includes a user terminal; the device perception layer further includes a battery remote capacity verification device.

[0010] Based on the user's capacity verification test trigger operation, the server issues a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the to-be-tested single cells, including:

[0011] The server responds to the user's capacity verification test trigger operation on the user terminal, and sends a capacity verification test instruction to the edge computing terminal through the wireless communication module.

[0012] The edge computing terminal transmits the capacity verification test instruction to the battery remote capacity verification device through the serial communication protocol conversion module, so that the battery remote capacity verification device issues the capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the to-be-tested single cells.

[0013] Combined with the first possible implementation manner of the first aspect, the embodiment of the present application provides a second possible implementation manner of the first aspect. Wherein, the device perception layer further includes a group end aggregation module; after determining the capacity verification test results of each of the to-be-tested single cells, the method further includes:

[0014] Each of the electrochemical impedance digital sensor modules uploads the obtained nuclear capacity test results to the group - end aggregation module respectively, and the group - end aggregation module sends each of the nuclear capacity test results to the edge computing terminal;

[0015] The edge computing terminal uploads each of the nuclear capacity test results to the server through the wireless communication module;

[0016] The server sends each of the nuclear capacity test results to the user - end, so that the user can view the nuclear capacity test results of each of the to - be - tested single - cell batteries on the user - end.

[0017] Combined with the first aspect, the embodiment of the present application provides a third possible implementation manner of the first aspect. Wherein, the device perception layer further includes a surface contact temperature sensor corresponding to each of the to - be - tested single - cell batteries; the method further includes:

[0018] The server issues a battery internal temperature test instruction to the surface contact temperature sensor corresponding to each of the to - be - tested single - cell batteries based on the user's battery internal temperature test operation;

[0019] For each of the to - be - tested single - cell batteries, after the surface contact temperature sensor corresponding to the to - be - tested single - cell battery receives the battery internal temperature test instruction, it collects the surface temperature of the to - be - tested single - cell battery in real - time. When the change in the surface temperature of the to - be - tested single - cell battery exceeds a preset threshold, an electrochemical impedance spectroscopy analysis is performed on the to - be - tested single - cell battery, and a second multi - frequency internal resistance spectrum of the to - be - tested single - cell battery is measured;

[0020] The second multi - frequency internal resistance spectrum is compared with the second standard multi - frequency internal resistance spectra corresponding to different preset temperatures, and a target preset temperature is determined from multiple preset temperatures, so as to determine the target preset temperature as the internal temperature of the to - be - tested single - cell battery; wherein, the preset temperatures are determined in the order of from high to low or from low to high based on a preset temperature step; the second standard multi - frequency internal resistance spectra corresponding to the preset temperatures are obtained by performing electrochemical impedance spectroscopy analysis on a large number of single - cell batteries placed in a controllable constant - temperature box at the preset temperatures.

[0021] Combined with the first aspect or the third possible implementation manner of the first aspect, the embodiment of the present application provides a fourth possible implementation manner of the first aspect. Wherein, the performing an electrochemical impedance spectroscopy analysis on the to - be - tested single - cell battery includes:

[0022] According to the battery parameters of the to - be - tested single - cell battery, determine the range of the current amplitude that can be applied to the to - be - tested single - cell battery;

[0023] Combined with the range of current amplitudes that can be applied to the single battery under test and the required electrochemical impedance spectrum measurement range, multiple sine signals with different frequencies and equal amplitudes are selected, and the selected sine signals are superimposed to form the excitation current signal of the single battery under test;

[0024] Apply the excitation current signal to the single battery under test, and determine multiple sampling frequencies according to the required spectrum accuracy and the frequency of the excitation current signal;

[0025] For each of the sampling frequencies, collect the fluctuating voltage generated by the single battery under test due to the application of the excitation current signal based on the sampling frequency;

[0026] Based on the sampling frequency, the fluctuating voltage, and the excitation current signal, calculate the internal real resistance of the single battery under test at the sampling frequency;

[0027] Perform a discrete Fourier transform on the ratio of the excitation current signal and the fluctuating voltage to determine the phase difference between the excitation current signal and the fluctuating voltage of the single battery under test at the sampling frequency, and calculate the imaginary part real resistance of the single battery under test according to the phase difference;

[0028] Based on the internal real resistance and imaginary part real resistance of the single battery under test at different sampling frequencies, construct a multi-frequency internal resistance map of the single battery under test.

[0029] Combined with the second possible implementation manner of the first aspect, the embodiments of the present application provide a fifth possible implementation manner of the first aspect, wherein the device sensing layer further includes a current-voltage detection module corresponding to each of the battery packs; the method further includes:

[0030] Based on the battery monitoring operation of the user on the user side, the server sends a battery monitoring instruction to the edge computing terminal through the wireless communication module;

[0031] The edge computing terminal transmits the battery monitoring instruction to the battery remote capacity checking device through the serial communication protocol conversion module, so that the battery remote capacity checking device issues the battery monitoring instruction to the electrochemical impedance digital sensor module corresponding to each of the single batteries under test and the current-voltage detection module of each of the battery packs;

[0032] For each of the to-be-tested single cells, after receiving the battery monitoring instruction, the electrochemical impedance digital sensor module corresponding to the to-be-tested single cell monitors the single cell voltage, single cell surface temperature, and single cell impedance of the to-be-tested single cell in real time, and determines whether the to-be-tested single cell is abnormal based on the single cell voltage, the single cell surface temperature, and the single cell impedance. When the to-be-tested single cell is abnormal, the first abnormal information of the to-be-tested single cell is uploaded to the group end aggregation module, and the first abnormal information is sent to the edge computing terminal through the group end aggregation module;

[0033] For each of the battery packs, after receiving the battery monitoring instruction, the current and voltage detection module of the battery pack monitors the on-line charging current, on-line discharging current, and overall voltage of the battery pack in real time, and determines whether the battery pack is abnormal based on the on-line charging current, the on-line discharging current, and the overall voltage. When the battery pack is abnormal, the second abnormal information of the battery pack is uploaded to the group end aggregation module, and the second abnormal information is sent to the edge computing terminal through the group end aggregation module;

[0034] If the edge computing terminal receives the first abnormal information and / or the second abnormal information through the wireless communication module, the received first abnormal information and / or second abnormal information is uploaded to the server, and the server sends the first abnormal information and / or the second abnormal information to the user terminal, so that the user can view the first abnormal information and / or the second abnormal information on the user terminal.

[0035] Combined with the second possible implementation manner of the first aspect, the embodiments of the present application provide a sixth possible implementation manner of the first aspect. Before the server sends a capacity test instruction to the edge computing terminal through the wireless communication module in response to a capacity test trigger operation of the user on the user terminal, the method further includes:

[0036] The server responds to the user's login operation on the user terminal, and verifies the user's login based on the user credential information and three-dimensional dynamic living body detection information input by the user;

[0037] The server sends a capacity test instruction to the edge computing terminal through the wireless communication module in response to a capacity test trigger operation of the user on the user terminal, including:

[0038] In response to the user's triggering operation for the capacity verification test on the user terminal, the server sends a secondary authentication page to the user terminal. After the user enters the user credential information and three-dimensional dynamic liveness detection information again in the secondary authentication page, the server authenticates the user's triggering operation for the capacity verification test based on the user credential information and three-dimensional dynamic liveness detection information entered by the user again. After the authentication is passed, the server sends a capacity verification test instruction to the edge computing terminal through the wireless communication module.

[0039] Combined with the third possible implementation manner of the first aspect, the embodiments of the present application provide a seventh possible implementation manner of the first aspect, where the method further includes:

[0040] For each of the battery packs, the server records the historical operation data of the battery pack at different historical operation times; the historical operation data includes: the individual voltages, terminal temperatures, surface temperatures, remaining capacities of the individual cells in the battery pack, and the pack terminal voltage and charge and discharge current of the battery pack;

[0041] Using the historical operation data to train the initial time series machine learning algorithm to obtain a prediction model for predicting the remaining capacity of the battery pack;

[0042] Predict the change trend of the remaining capacity of each of the battery packs through the prediction model.

[0043] Combined with the fifth possible implementation manner of the first aspect, the embodiments of the present application provide an eighth possible implementation manner of the first aspect, where the method further includes:

[0044] During the period when the capacity verification test is not performed, the battery remote capacity verification device monitors the discharge amount of each battery pack in real time through each of the current and voltage detection modules. When the discharge amount is greater than the preset discharge amount threshold, the battery pack is switched from the discharge mode to the constant voltage charging mode.

[0045] In a second aspect, the embodiments of the present application further provide a remote online operation and maintenance platform for power generation side batteries. The platform includes a platform service layer and a device perception layer deployed at the power production site; the device perception layer includes at least one battery pack and an electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested in each battery pack; the platform service layer includes a server;

[0046] The server is configured to send a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested based on the user's triggering operation for the capacity verification test;

[0047] The electrochemical impedance digital sensor module is configured to, after receiving the capacity verification test instruction, control the to-be-tested single battery corresponding to the electrochemical impedance digital sensor module to discharge starting from full charge. When the capacitance discharges to each candidate capacitance, perform electrochemical impedance spectroscopy analysis on the to-be-tested single battery to test the first multi-frequency internal resistance spectrum of the to-be-tested single battery when the capacitance of the to-be-tested single battery is at each candidate capacitance; wherein, the candidate capacitances are determined in the order of capacitance from full charge to complete discharge based on a preset discharge amplitude.

[0048] The electrochemical impedance digital sensor module is further configured to, for each candidate capacitance, compare the similarity between the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance and the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance, and determine the target capacitance from multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the to-be-tested single battery; wherein, each of the first standard multi-frequency internal resistance spectra is obtained by performing electrochemical impedance spectroscopy analysis on a large number of single batteries at the candidate capacitance.

[0049] A remote online operation and maintenance method and platform for power generation side storage batteries provided by an embodiment of the present application. When performing capacity verification tests on each to-be-tested single battery in a battery pack, a user only needs to send a capacity verification test instruction to each electrochemical impedance digital sensor module through a server, and each electrochemical impedance digital sensor module will automatically perform electrochemical impedance spectroscopy analysis on the to-be-tested single battery to test the first multi-frequency internal resistance spectrum of the to-be-tested single battery when the capacitance of the to-be-tested single battery is at each candidate capacitance; and for each candidate capacitance, compare the similarity between the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance and the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance, and determine the target capacitance from multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the to-be-tested single battery. It can be seen that during the entire capacity verification test process, the user does not need to reach the site where the battery pack is located to achieve the capacity verification test, which can not only reduce the workload of the user (i.e., the test staff), but also ensure the safety of the user.

[0050] To make the above objects, features, and advantages of the present application more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. Description of the Drawings

[0051] To more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings required for the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0052] Figure 1 It shows a schematic structural diagram of a remote online operation and maintenance platform for power generation side storage batteries provided by the embodiments of the present application;

[0053] Figure 2 It shows a flowchart of a remote online operation and maintenance method for power generation side storage batteries provided by the embodiments of the present application;

[0054] Figure 3 It shows a schematic topological structure diagram of a storage battery remote capacity verification device based on DC / DC conversion technology provided by the embodiments of the present application;

[0055] Figure 4 It shows a schematic diagram of login verification provided by the embodiments of the present application. Detailed implementation manners

[0056] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Usually, the components of the embodiments of the present application described and shown in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0057] Considering that the traditional method for testing the capacity of storage batteries requires disassembling the storage battery from the battery pack, connecting it to a dedicated testing instrument, performing a complete charge and discharge cycle, and then calculating the capacity based on the discharge curve. This testing method requires the staff to reach the site where the storage battery is located, which is not only time-consuming and laborious but also poses a safety risk to the testers. Based on this, the embodiments of the present application provide a remote online operation and maintenance method and platform for power generation side storage batteries, which will be described below through embodiments.

[0058] For the convenience of understanding this embodiment, first, a remote online operation and maintenance method for a power generation side battery disclosed in the embodiments of the present application will be introduced in detail. This remote online operation and maintenance method for a power generation side battery is applied to a remote online operation and maintenance platform for a power generation side battery, such as Figure 1 As shown, this remote online operation and maintenance platform for a power generation side battery includes a platform service layer and a device perception layer deployed at the power production site; the device perception layer includes at least one battery pack and an electrochemical impedance digital sensor module corresponding to each individual battery to be tested in each battery pack; the platform service layer includes a server; as Figure 2 As shown, the remote online operation and maintenance method for a power generation side battery includes the following steps S101 - S103:

[0059] S101: Based on the triggering operation of the user's capacity testing, the server sends a capacity testing instruction to the electrochemical impedance digital sensor module corresponding to each individual battery to be tested.

[0060] In this embodiment, the device perception layer is deployed at the power production site. Each battery pack in the device perception layer contains at least one individual battery. Among them, the individual batteries to be tested can be all the individual batteries included in the battery pack or some of the individual batteries. In this embodiment, the battery pack can be a lead - acid battery pack.

[0061] As Figure 1 As shown, two battery packs are shown. Each battery pack contains 4 individual batteries to be tested (4 individual batteries), and each individual battery to be tested corresponds to an electrochemical impedance digital sensor module. Therefore, there are 8 electrochemical impedance digital sensor modules.

[0062] Among them, to ensure the consistency of the individual batteries, the electrochemical impedance digital sensor module is connected in parallel to the positive and negative electrodes of the individual battery to be tested via a four - wire acquisition line, and an external power supply or battery pack provides auxiliary power supply for the electrochemical impedance digital sensor module.

[0063] The platform service layer can be deployed anywhere at an arbitrary distance from the power production site. For example, it can be deployed in an office building, etc. That is to say, geographically speaking, the device perception layer and the platform service layer are deployed in different places.

[0064] When it is necessary to perform a capacity test on the individual battery to be tested, the user (test personnel) can send a capacity test instruction to the electrochemical impedance digital sensor module corresponding to each individual battery to be tested through the server, and the capacity test can be realized without the user reaching the power production site.

[0065] In a possible implementation manner, as Figure 1As shown in the figure, the remote online operation and maintenance platform for the power generation side battery also includes a data transmission layer and an edge computing layer deployed at the power production site. The data transmission layer includes a wireless communication module, and the edge computing layer includes an edge computing terminal and a serial communication protocol conversion module; the platform service layer also includes a user terminal; the device perception layer also includes a battery remote capacity testing device; when performing step S101, it can be specifically executed according to the following steps S1011 - S1012:

[0066] S1011: In response to the user's capacity testing trigger operation on the user terminal, the server sends a capacity testing instruction to the edge computing terminal through the wireless communication module.

[0067] S1012: The edge computing terminal transmits the capacity testing instruction to the battery remote capacity testing device through the serial communication protocol conversion module, so that the battery remote capacity testing device issues a capacity testing instruction to the electrochemical impedance digital sensor module corresponding to each single battery to be tested.

[0068] In step S1011, the user terminal can be the user's mobile user terminal (such as a mobile phone, a tablet computer), or it can be a public control terminal (such as a desktop computer). When the user terminal is a mobile user terminal, the display screen of the user terminal can be a touch display screen. At this time, the user's capacity testing trigger operation can be the user clicking on the capacity testing trigger component displayed on the display screen. When the user terminal is a desktop computer, the user terminal also includes input components such as a keyboard and a mouse. At this time, the user's capacity testing trigger operation can be the user using the mouse to click on the capacity testing trigger component displayed on the display screen.

[0069] After the user performs a capacity testing trigger operation on the user terminal, the server generates a capacity testing instruction in response to the user's capacity testing trigger operation on the user terminal, and remotely sends the capacity testing instruction to the edge computing terminal through the wireless communication module.

[0070] In step S1012, after receiving the capacity testing instruction, the edge computing terminal transmits the capacity testing instruction to the battery remote capacity testing device through the serial communication protocol conversion module. The battery remote capacity testing device is communicatively connected to the electrochemical impedance digital sensor module corresponding to each single battery to be tested. After receiving the capacity testing instruction, the battery remote capacity testing device issues the capacity testing instruction to each electrochemical impedance digital sensor module.

[0071] In this embodiment, as Figure 3 shown, the battery remote capacity testing device uses high - frequency DC / DC conversion technology to construct an online on - load capacity testing topology structure. The capacity testing process does not generate heat, and the battery pack maintains the grid - connected state to perform the capacity testing.

[0072] S102: For each single battery to be tested, after the electrochemical impedance digital sensor module corresponding to the single battery to be tested receives the capacity verification test instruction, it controls the single battery to be tested to start discharging from full charge. When the capacitance discharges to each candidate capacitance, it performs electrochemical impedance spectroscopy analysis on the single battery to be tested, and tests the first multi-frequency internal resistance spectrum of the single battery to be tested when the capacitance of the single battery to be tested is at each candidate capacitance; wherein, the candidate capacitances are determined in the order of capacitance from full charge to complete discharge based on a preset discharge amplitude.

[0073] In this embodiment, after the electrochemical impedance digital sensor module corresponding to the single battery to be tested receives the capacity verification test instruction, it controls the single battery to be tested to be in the floating charge state, and at this time, the internal resistance spectrum test and drawing are started.

[0074] Specifically, full charge means that the power of the single battery to be tested is in the 100% state, and complete discharge means that the power of the single battery to be tested is in the 0% state. The value range of the preset discharge amplitude can be 1% - 20%. Exemplarily, if the preset discharge amplitude is 5%, then each candidate capacitance is: 100%, 95%, 90%... 5%, 0%.

[0075] When the capacitance is 100%, perform electrochemical impedance spectroscopy analysis on the single battery to be tested, and test the first multi-frequency internal resistance spectrum of the single battery to be tested when the capacitance is at 100%; next, control the single battery to be tested to start discharging from full charge. When the capacitance is 95%, perform electrochemical impedance spectroscopy analysis on the single battery to be tested, and test the first multi-frequency internal resistance spectrum of the single battery to be tested when the capacitance is at 95%. And so on, until the power of the single battery to be tested is discharged to 0%, and test the first multi-frequency internal resistance spectrum of the single battery to be tested when the capacitance is at 0%.

[0076] S103: For each candidate capacitance, compare the similarity between the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance and the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance, and determine the target capacitance from multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the single battery to be tested; wherein, each first standard multi-frequency internal resistance spectrum is obtained by performing electrochemical impedance spectroscopy analysis on a large number of single batteries in this candidate capacitance state.

[0077] In this embodiment, each candidate capacitance corresponds to its own first standard multi-frequency internal resistance spectrum, which is obtained by performing electrochemical impedance spectroscopy on a large number of single cells that can work normally and have the candidate capacitance. Taking the candidate capacitance of 60% as an example, when the candidate capacitance is 60%, the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance is obtained by performing electrochemical impedance spectroscopy on a large number of single cells that can work normally and have a remaining charge of 60%.

[0078] Compare the similarity between the first multi-frequency internal resistance spectrum measured when the single cell to be tested has a capacitance of 100% and the first standard multi-frequency internal resistance spectrum corresponding to a capacitance of 100% to obtain the similarity comparison result of the single cell to be tested when the capacitance is 100%. After obtaining the similarity comparison results of the single cell to be tested at each candidate capacitance, determine the highest similarity comparison result from the similarity comparison results, and use the candidate capacitance corresponding to the highest similarity comparison result as the target capacitance, and determine the target capacitance as the core capacity test result of the single cell to be tested.

[0079] In a possible implementation, as Figure 1 shown, the device perception layer further includes a group-end aggregation module; after determining the core capacity test results of each single cell to be tested in step S103, the following steps S1041-S1043 can also be executed:

[0080] S1041: Each electrochemical impedance digital sensor module uploads its obtained core capacity test results to the group-end aggregation module, and the group-end aggregation module sends each core capacity test result to the edge computing terminal.

[0081] S1042: The edge computing terminal uploads each core capacity test result to the server through the wireless communication module.

[0082] S1043: The server sends each core capacity test result to the user terminal so that the user can view the core capacity test results of each single cell to be tested on the user terminal.

[0083] In this embodiment, when performing core capacity tests on each single cell to be tested, only a core capacity test trigger operation needs to be performed on the user terminal, and each component in the remote online operation and maintenance platform of the power generation side storage battery will automatically perform core capacity tests on each single cell to be tested, and display the core capacity test results of each single cell to be tested to the user for viewing through the display screen of the user terminal, without the user having to reach the power production site.

[0084] In a possible implementation, the device perception layer further includes surface contact temperature sensors corresponding to each single battery to be tested; the remote online operation and maintenance method for the power generation side storage battery further includes the following steps S201 - S203:

[0085] S201: Based on the user's operation of testing the internal temperature of the battery, the server sends a battery internal temperature test instruction to the surface contact temperature sensors corresponding to each single battery to be tested.

[0086] In this embodiment, based on the user's operation of testing the internal temperature of the battery on the user side, the server sends a battery internal temperature test instruction to the edge computing terminal through the wireless communication module; the edge computing terminal transmits the battery internal temperature test instruction to the storage battery remote capacity testing device through the serial communication protocol conversion module, so that the storage battery remote capacity testing device sends a battery internal temperature test instruction to the surface contact temperature sensors corresponding to each single battery to be tested.

[0087] S202: For each single battery to be tested, after receiving the battery internal temperature test instruction, the surface contact temperature sensor corresponding to the single battery to be tested collects the surface temperature of the single battery to be tested in real time. When the change in the surface temperature of the single battery to be tested exceeds a preset threshold, an electrochemical impedance spectroscopy analysis is performed on the single battery to be tested, and a second multi-frequency internal resistance spectrum of the single battery to be tested is measured.

[0088] S203: Compare the similarity between the second multi-frequency internal resistance spectrum and the second standard multi-frequency internal resistance spectra corresponding to different preset temperatures, and determine the target preset temperature from multiple preset temperatures, so as to determine the target preset temperature as the internal temperature of the single battery to be tested; wherein, the preset temperatures are determined in the order of from high to low or from low to high based on a preset temperature step; the second standard multi-frequency internal resistance spectra corresponding to the preset temperatures are obtained by performing electrochemical impedance spectroscopy analysis on a large number of single batteries placed in a controllable constant temperature box at the preset temperatures.

[0089] In this embodiment, the value of the preset temperature step can be 1 degree - 20 degrees, and the present application does not limit this. Exemplarily, when the preset temperature step is 10 degrees, the preset temperatures can be 100 degrees, 90 degrees, 80 degrees... 10 degrees, 0 degrees respectively.

[0090] In this embodiment, each preset temperature corresponds to its own second standard multi-frequency internal resistance spectrum. The second standard multi-frequency internal resistance spectrum is obtained by performing electrochemical impedance spectroscopy on a large number of single cells that can work normally and are placed in a controllable constant temperature chamber at the preset temperature. Taking the preset temperature of 30 degrees as an example, when the preset temperature is 30 degrees, the second standard multi-frequency internal resistance spectrum corresponding to this preset temperature is obtained by performing electrochemical impedance spectroscopy on a large number of single cells that can work normally and are placed in a controllable constant temperature chamber at 30 degrees.

[0091] Compare the second multi-frequency internal resistance spectra of the single cells to be tested measured in step S202 with the second standard multi-frequency internal resistance spectra corresponding to each preset temperature respectively to obtain the similarity comparison results between the current second multi-frequency internal resistance spectra of the single cells to be tested and the second standard multi-frequency internal resistance spectra corresponding to each preset temperature. Then, determine the highest similarity comparison result from these similarity comparison results, and take the preset temperature corresponding to the determined highest similarity comparison result as the target preset temperature, and determine the target preset temperature as the internal temperature of the single cell to be tested.

[0092] In this embodiment, after determining the internal temperatures of each single cell to be tested, each surface contact temperature sensor uploads the obtained internal temperature to the group-end aggregation module respectively, and the group-end aggregation module sends the internal temperatures of each single cell to be tested to the edge computing terminal; the edge computing terminal uploads the internal temperatures of each single cell to be tested to the server through the wireless communication module; the server sends the internal temperatures of each single cell to be tested to the user terminal so that the user can view the internal temperatures of each single cell to be tested on the user terminal.

[0093] In a possible implementation manner, when performing electrochemical impedance spectroscopy on the single cell to be tested in step S102, and / or when performing electrochemical impedance spectroscopy on the single cell to be tested in step S202, it can be specifically executed according to the following steps S301 - S307:

[0094] S301: Determine the range of current amplitudes that can be applied to the single cell to be tested according to the battery parameters of the single cell to be tested.

[0095] In this embodiment, the range of current amplitudes that can be applied to the single cell to be tested refers to the safe interval between the maximum current value and the minimum current value that the single cell to be tested can withstand during the charge and discharge process.

[0096] S302: Combine the range of current amplitudes that can be applied to the single cell to be tested and the required electrochemical impedance spectrum measurement range, select a plurality of sine signals with different frequencies and equal amplitudes, and superimpose the selected sine signals to form the excitation current signal I(t) of the single cell to be tested.

[0097] S303: Apply the excitation current signal I(t) to the single cell to be tested, and determine a plurality of sampling frequencies f according to the required spectral accuracy and the frequency of the excitation current signal I(t). n .

[0098] Where n is a frequency variable, and the value range of the sampling frequency f n is from 0.5 Hz to 7.5 KHz.

[0099] In this embodiment, a battery state-frequency domain analysis model is established based on SVM, and the state of the current single cell to be tested is analyzed accordingly. The most sensitive frequency band of this state is selected as the priority measurement frequency band (i.e., the optimal value range of f n ).

[0100] S304: For each sampling frequency f n , collect the fluctuating voltage V(t) generated by the single cell to be tested due to the application of the excitation current signal I(t) based on the sampling frequency f n .

[0101] S305: Based on the sampling frequency f n , as well as the fluctuating voltage V(t) and the excitation current signal I(t), calculate the internal real resistance X n of the single cell to be tested at the sampling frequency f n .

[0102] In this embodiment, the internal real resistance X of the single cell to be tested is calculated by the following formula n :

[0103]

[0104] S306: Perform a discrete Fourier transform on the ratio of the excitation current signal I(t) and the fluctuating voltage V(t) to determine the phase difference θ between the excitation current signal I(t) and the fluctuating voltage V(t) of the single cell to be tested at this sampling frequency, and calculate the imaginary part real resistance Y of the single cell to be tested according to the phase difference θ n .

[0105] In this embodiment, the imaginary part real resistance Y of the single cell to be tested is calculated by the following formula n :

[0106]

[0107] S307: Based on the internal real resistance X n and the imaginary part real resistance Y n of the single cell to be tested at different sampling frequencies f n, a multi-frequency internal resistance spectrum (Nyquist spectrum) of the single battery to be tested is formed.

[0108] In this embodiment, when performing step S102, the multi-frequency internal resistance spectrum of the single battery to be tested formed is used as the first multi-frequency internal resistance spectrum of the single battery to be tested; when performing step S202, the multi-frequency internal resistance spectrum of the single battery to be tested formed is used as the second multi-frequency internal resistance spectrum of the single battery to be tested.

[0109] In a possible implementation manner, the device perception layer further includes a current and voltage detection module corresponding to each battery pack; the remote online operation and maintenance method for the power generation side battery further includes the following steps S401 - S405:

[0110] S401: Based on the battery monitoring operation of the user on the user side, the server sends a battery monitoring instruction to the edge computing terminal through the wireless communication module.

[0111] S402: The edge computing terminal transmits the battery monitoring instruction to the battery remote capacity calibration device through the serial communication protocol conversion module, so that the battery remote capacity calibration device issues the battery monitoring instruction to the electrochemical impedance digital sensor module corresponding to each single battery to be tested and the current and voltage detection modules of each battery pack.

[0112] S403: For each single battery to be tested, after receiving the battery monitoring instruction, the electrochemical impedance digital sensor module corresponding to the single battery to be tested monitors the single battery voltage, single battery surface temperature, and single battery impedance in real time, and determines whether the single battery to be tested is abnormal based on the single battery voltage, single battery surface temperature, and single battery impedance. When the single battery to be tested is abnormal, the first abnormal information of the single battery to be tested is uploaded to the group-end aggregation module, and the first abnormal information is sent to the edge computing terminal through the group-end aggregation module.

[0113] In this embodiment, if the single battery voltage of the single battery to be tested is greater than the floating charge upper limit threshold of the single battery, it is determined that there is an abnormal event of high floating charge of the single battery to be tested;

[0114] If the single battery voltage of the single battery to be tested is less than the floating charge lower limit threshold of the single battery, it is determined that there is an abnormal event of low floating charge of the single battery to be tested;

[0115] If the change rate of the single battery impedance of the single battery to be tested is greater than the change rate threshold, it is determined that there is an over-discharge abnormal event for the single battery to be tested;

[0116] If the single battery surface temperature of the single battery to be tested is not within the upper and lower limits of the single battery temperature range, it is determined that there is a battery temperature abnormal event for the single battery to be tested.

[0117] S404: For each battery pack, after the current-voltage detection module of the battery pack receives the battery monitoring instruction, it monitors the on-line charging current, on-line discharging current, and overall voltage of the battery pack in real time, and determines whether the battery pack is abnormal based on the on-line charging current, on-line discharging current, and overall voltage. When the battery pack is abnormal, the second abnormal information of the battery pack is uploaded to the group-end aggregation module, and the second abnormal information is sent to the edge computing terminal through the group-end aggregation module.

[0118] In this embodiment, if the on-line charging current of the battery pack is greater than the charging current threshold, it is determined that there is an abnormal event of excessive charging current in the battery pack;

[0119] If the on-line discharging current of the battery pack is greater than the discharging current threshold, it is determined that there is an abnormal event of excessive discharging current in the battery pack;

[0120] If the overall voltage of the battery pack is greater than the floating charge upper limit threshold of the battery pack, it is determined that there is an abnormal event of high floating charge voltage in the battery pack;

[0121] If the overall voltage of the battery pack is less than the floating charge lower limit threshold of the battery pack, it is determined that there is an abnormal event of low floating charge voltage in the battery pack.

[0122] S405: If the edge computing terminal receives the first abnormal information and / or the second abnormal information through the wireless communication module, the received first abnormal information and / or the second abnormal information is uploaded to the server, and the server sends the first abnormal information and / or the second abnormal information to the user side so that the user can view the first abnormal information and / or the second abnormal information on the user side.

[0123] In a possible implementation manner, in response to the user's capacity testing trigger operation on the user side, before the server sends the capacity testing instruction to the edge computing terminal through the wireless communication module in step S101, the following step S100 can also be executed:

[0124] S100: In response to the user's login operation on the user side, the server verifies the user's login based on the user credential information input by the user and the three-dimensional dynamic live detection information.

[0125] In this embodiment, to ensure the security of the remote on-line operation and maintenance of the power generation side battery, as Figure 4 shown, a two-factor security authentication mechanism is adopted: login verification is realized through the user credential information (i.e., the user's account password) and the three-dimensional dynamic live detection information (such as face recognition).

[0126] When the server responds to the user's triggering operation of the capacity testing on the user terminal and sends a capacity testing instruction to the edge computing terminal through the wireless communication module in step S101, it can be specifically executed according to the following steps:

[0127] The server responds to the user's triggering operation of the capacity testing on the user terminal, sends a secondary authentication page to the user terminal, and after the user enters the user credential information and three-dimensional dynamic live detection information again in the secondary authentication page, authenticates the user's triggering operation of the capacity testing based on the user credential information and three-dimensional dynamic live detection information entered by the user again, and after the authentication passes, sends a capacity testing instruction to the edge computing terminal through the wireless communication module.

[0128] In this embodiment, for critical instructions (such as the capacity testing instruction), the control authority of the server needs to be activated through a secondary authentication process (that is, it needs to be authenticated again), so as to avoid the user accidentally touching the triggering operation of the capacity testing.

[0129] In a possible implementation manner, it can also be executed according to the following steps S501 - S503:

[0130] S501: For each battery pack, the server records the historical operation data of the battery pack at different historical operation times; the historical operation data includes: the single-cell voltage, pole temperature, surface temperature, remaining capacity of each single battery in the battery pack, and the pack terminal voltage and charge-discharge current of the battery pack;

[0131] S502: Use the historical operation data to train the initial time series machine learning algorithm to obtain a prediction model for predicting the remaining capacity of the battery pack;

[0132] S503: Predict the change trend of the remaining capacity of each battery pack through the prediction model.

[0133] In a possible implementation manner, it can also be executed according to the following steps:

[0134] During the period when the capacity testing is not carried out, the battery remote capacity testing device monitors the discharge amount of each battery pack in real time through each current and voltage detection module, and when the discharge amount is greater than the preset discharge amount threshold, switches the battery pack from the discharge mode to the constant voltage charging mode.

[0135] In this embodiment, considering that if the discharge amount of the battery pack exceeds the preset discharge amount threshold, it will cause damage to the battery pack. Therefore, during the period when the capacity testing is not carried out, the discharge amount of each battery pack is monitored in real time to ensure that the discharge amount of each battery pack does not exceed the preset discharge amount threshold, so as to ensure the safety of the battery pack.

[0136] Based on the same technical concept, an embodiment of the present application further provides a remote online operation and maintenance platform for power generation side storage batteries, as Figure 1 shown. The platform includes a platform service layer and a device perception layer deployed at the power production site; the device perception layer includes at least one battery pack and an electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested in each battery pack; the platform service layer includes a server;

[0137] The server is configured to issue a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested based on a capacity verification test trigger operation of a user;

[0138] The electrochemical impedance digital sensor module is configured to, after receiving the capacity verification test instruction, control the individual cell to be tested corresponding to the electrochemical impedance digital sensor module to discharge from full charge, and perform electrochemical impedance spectroscopy analysis on the individual cell to be tested when the capacitance discharges to each candidate capacitance, and test a first multi-frequency internal resistance spectrum of the individual cell to be tested when the capacitance of the individual cell to be tested is at each candidate capacitance; wherein, the candidate capacitances are determined in the order of capacitance from full charge to complete discharge based on a preset discharge amplitude;

[0139] The electrochemical impedance digital sensor module is further configured to, for each candidate capacitance, compare the similarity between the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance and the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance, and determine a target capacitance from multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the individual cell to be tested; wherein, each of the first standard multi-frequency internal resistance spectra is obtained by performing electrochemical impedance spectroscopy analysis on a large number of individual cells at the candidate capacitance.

[0140] Optionally, the platform further includes a data transmission layer and an edge computing layer deployed at the power production site, the data transmission layer includes a wireless communication module, the edge computing layer includes an edge computing terminal and a serial communication protocol conversion module; the platform service layer further includes a user terminal; the device perception layer further includes a battery remote capacity verification device;

[0141] When the server is configured to issue a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested based on a capacity verification test trigger operation of a user, it is specifically configured to:

[0142] In response to a user's triggering operation for the capacity testing on the user terminal, a capacity testing instruction is sent to the edge computing terminal through the wireless communication module; wherein, the edge computing terminal is used to transmit the capacity testing instruction to the battery remote capacity testing device through the serial communication protocol conversion module, so that the battery remote capacity testing device issues the capacity testing instruction to the electrochemical impedance digital sensor module corresponding to each of the to-be-tested single cells.

[0143] Optionally, the device perception layer further includes a group-end aggregation module;

[0144] The electrochemical impedance digital sensor module is further used to upload the obtained capacity testing results to the group-end aggregation module, and send each of the capacity testing results to the edge computing terminal through the group-end aggregation module;

[0145] The edge computing terminal is further used to upload each of the capacity testing results to the server through the wireless communication module;

[0146] The server is further used to send each of the capacity testing results to the user terminal, so that the user can view the capacity testing results of each of the to-be-tested single cells on the user terminal.

[0147] Optionally, the device perception layer further includes a surface contact temperature sensor corresponding to each of the to-be-tested single cells;

[0148] The server is further used to issue a battery internal temperature testing instruction to the surface contact temperature sensor corresponding to each of the to-be-tested single cells based on the user's battery internal temperature testing operation;

[0149] The surface contact temperature sensor corresponding to the to-be-tested single cell is used to, after receiving the battery internal temperature testing instruction, collect the surface temperature of the to-be-tested single cell in real time. When the change in the surface temperature of the to-be-tested single cell exceeds a preset threshold, perform electrochemical impedance spectroscopy analysis on the to-be-tested single cell to test a second multi-frequency internal resistance spectrum of the to-be-tested single cell; and compare the similarity between the second multi-frequency internal resistance spectrum and the second standard multi-frequency internal resistance spectra corresponding to different preset temperatures, and determine a target preset temperature from multiple preset temperatures, so as to determine the target preset temperature as the internal temperature of the to-be-tested single cell; wherein, the preset temperatures are determined in the order of from high to low or from low to high based on a preset temperature step; and the second standard multi-frequency internal resistance spectra corresponding to the preset temperatures are obtained by performing electrochemical impedance spectroscopy analysis on a large number of single cells placed in a controllable constant temperature chamber at the preset temperatures.

[0150] Optionally, when the electrochemical impedance digital sensor module is used for performing electrochemical impedance spectroscopy analysis on the to-be-tested single battery, and / or when the surface contact temperature sensor is used for performing electrochemical impedance spectroscopy analysis on the to-be-tested single battery, it is specifically used for:

[0151] Determine the range of current amplitudes that can be applied to the to-be-tested single battery according to the battery parameters of the to-be-tested single battery;

[0152] Combine the range of current amplitudes that can be applied to the to-be-tested single battery and the required electrochemical impedance spectroscopy measurement range, select multiple sine signals with different frequencies and equal amplitudes, and superimpose the selected sine signals to form an excitation current signal for the to-be-tested single battery;

[0153] Apply the excitation current signal to the to-be-tested single battery, and determine multiple sampling frequencies according to the required spectrum accuracy and the frequency of the excitation current signal;

[0154] For each of the sampling frequencies, collect the fluctuating voltage generated by the to-be-tested single battery due to the application of the excitation current signal based on the sampling frequency;

[0155] Based on the sampling frequency, the fluctuating voltage, and the excitation current signal, calculate the internal real resistance of the to-be-tested single battery at the sampling frequency;

[0156] Perform a discrete Fourier transform on the ratio of the excitation current signal and the fluctuating voltage to determine the phase difference between the excitation current signal and the fluctuating voltage of the to-be-tested single battery at the sampling frequency, and calculate the imaginary part real resistance of the to-be-tested single battery according to the phase difference;

[0157] Based on the internal real resistance and imaginary part real resistance of the to-be-tested single battery at different sampling frequencies, construct a multi-frequency internal resistance map of the to-be-tested single battery.

[0158] Optionally, the device perception layer further includes a current and voltage detection module corresponding to each of the battery packs;

[0159] The server is further configured to send a battery monitoring instruction to the edge computing terminal through the wireless communication module based on the battery monitoring operation of the user on the user terminal;

[0160] The edge computing terminal is further configured to transmit the battery monitoring instruction to the battery remote capacity calibration device through the serial communication protocol conversion module, so that the battery remote capacity calibration device issues the battery monitoring instruction to the electrochemical impedance digital sensor module corresponding to each of the to-be-tested single batteries and the current and voltage detection modules of each of the battery packs;

[0161] The electrochemical impedance digital sensor module corresponding to the single battery to be tested is also used to, after receiving the battery monitoring instruction, monitor in real time the single battery voltage, single battery surface temperature, and single battery impedance of the single battery to be tested, and determine whether the single battery to be tested is abnormal based on the single battery voltage, the single battery surface temperature, and the single battery impedance, so as to, when the single battery to be tested is abnormal, upload the first abnormal information of the single battery to be tested to the group - end aggregation module, and send the first abnormal information to the edge computing terminal through the group - end aggregation module;

[0162] The current - voltage detection module of the battery pack is used to, after receiving the battery monitoring instruction, monitor in real time the on - line charging current, on - line discharging current, and overall voltage of the battery pack, and determine whether the battery pack is abnormal based on the on - line charging current, the on - line discharging current, and the overall voltage, so as to, when the battery pack is abnormal, upload the second abnormal information of the battery pack to the group - end aggregation module, and send the second abnormal information to the edge computing terminal through the group - end aggregation module;

[0163] The edge computing terminal is also used to, if it receives the first abnormal information and / or the second abnormal information through the wireless communication module, upload the received first abnormal information and / or the second abnormal information to the server;

[0164] The server is also used to send the first abnormal information and / or the second abnormal information to the user terminal, so that the user can view the first abnormal information and / or the second abnormal information on the user terminal.

[0165] Optionally, before the server is used to respond to the capacity testing trigger operation of the user on the user terminal and send a capacity testing instruction to the edge computing terminal through the wireless communication module, it is also used to respond to the login operation of the user on the user terminal, and perform login verification on the user based on the user credential information and three - dimensional dynamic living body detection information input by the user;

[0166] When the server is used to respond to the capacity testing trigger operation of the user on the user terminal and send a capacity testing instruction to the edge computing terminal through the wireless communication module, it is specifically used for:

[0167] In response to the user's triggering operation of the capacity verification test on the user terminal, send a secondary authentication page to the user terminal. After the user re-enters the user credential information and three-dimensional dynamic live detection information in the secondary authentication page, authenticate the user's triggering operation of the capacity verification test based on the user credential information and three-dimensional dynamic live detection information re-entered by the user. After successful authentication, send a capacity verification test instruction to the edge computing terminal through the wireless communication module.

[0168] Optionally, the server is further configured to:

[0169] Record the historical operation data of the battery pack at different historical operation times; the historical operation data includes: the individual voltages, pole temperatures, surface temperatures, remaining capacities of each individual battery in the battery pack, and the terminal voltage and charge-discharge current of the battery pack;

[0170] Use the historical operation data to train the initial time series machine learning algorithm to obtain a prediction model for predicting the remaining capacity of the battery pack;

[0171] Predict the change trend of the remaining capacity of each battery pack through the prediction model.

[0172] Optionally, the battery remote capacity verification device is further configured to, during the period when the capacity verification test is not performed, monitor the discharge amount of each battery pack in real time through each current-voltage detection module. When the discharge amount is greater than the preset discharge amount threshold, switch the battery pack from the discharge mode to the constant voltage charging mode.

[0173] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the remote online operation and maintenance platform for the power generation side battery described above can refer to the corresponding process in the foregoing embodiment of the remote online operation and maintenance method for the power generation side battery, and will not be elaborated herein.

[0174] In several embodiments provided in the present application, it should be understood that the disclosed method and platform can be implemented in other ways. The module embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces, and the indirect coupling or communication connection of the devices or units can be in electrical, mechanical or other forms.

[0175] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0176] In addition, each functional unit in various embodiments of the present application may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0177] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0178] Finally, it should be noted that: the above embodiments are only specific implementation manners of the present application, used to illustrate the technical solutions of the present application, rather than limiting them. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present application can still modify the technical solutions recorded in the foregoing embodiments or easily think of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes, or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A remote online operation and maintenance method for power generation side storage batteries, characterized in that, The method is applied to a remote online operation and maintenance platform for power generation side storage batteries. The platform includes a platform service layer and a device perception layer deployed at the power production site. The device perception layer includes at least one battery pack and an electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested in each battery pack. The platform service layer includes a server. The method includes: Based on the triggering operation of the capacity verification test by the user, the server sends a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested. For each of the individual cells to be tested, after receiving the capacity verification test instruction, the electrochemical impedance digital sensor module corresponding to the individual cell to be tested controls the individual cell to be tested to discharge from full charge. When the capacitance discharges to each candidate capacitance, an electrochemical impedance spectroscopy analysis is performed on the individual cell to be tested, and a first multi-frequency internal resistance spectrum at which the capacitance of the individual cell to be tested is at each candidate capacitance is measured. Among them, the candidate capacitances are determined in the order of capacitance from full charge to complete discharge based on a preset discharge amplitude. For each of the candidate capacitances, the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance is compared with the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance in terms of similarity, and a target capacitance is determined from the multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the individual cell to be tested. Among them, each of the first standard multi-frequency internal resistance spectra is obtained by performing electrochemical impedance spectroscopy analysis on a large number of individual cells at the candidate capacitance.

2. The method according to claim 1, wherein The platform further includes a data transmission layer and an edge computing layer deployed at the power production site. The data transmission layer includes a wireless communication module, and the edge computing layer includes an edge computing terminal and a serial communication protocol conversion module. The platform service layer further includes a user terminal. The device perception layer further includes a battery remote capacity verification device. The server based on the triggering operation of the capacity verification test by the user sends a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested, including: The server responds to the triggering operation of the capacity verification test by the user on the user terminal, and sends a capacity verification test instruction to the edge computing terminal through the wireless communication module. The edge computing terminal transmits the capacity verification test instruction to the battery remote capacity verification device through the serial communication protocol conversion module, so that the battery remote capacity verification device sends the capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested.

3. The method according to claim 2, wherein The device perception layer further includes a group-end aggregation module. After determining the capacity verification test results of each of the individual cells to be tested, the method further includes: Each of the electrochemical impedance digital sensor modules uploads the obtained capacity verification test result to the group-end aggregation module respectively, and the group-end aggregation module sends each of the capacity verification test results to the edge computing terminal. The edge computing terminal uploads each of the capacity testing results to the server through the wireless communication module; The server sends each of the capacity testing results to the user terminal so that the user can view the capacity testing results of each of the to-be-tested single cells on the user terminal.

4. The method according to claim 1, wherein The device perception layer further includes a surface contact temperature sensor corresponding to each of the to-be-tested single cells; the method further includes: Based on the battery internal temperature testing operation of the user, the server sends a battery internal temperature testing instruction to the surface contact temperature sensor corresponding to each of the to-be-tested single cells; For each of the to-be-tested single cells, after receiving the battery internal temperature testing instruction, the surface contact temperature sensor corresponding to the to-be-tested single cell collects the surface temperature of the to-be-tested single cell in real time. When the change in the surface temperature of the to-be-tested single cell exceeds a preset threshold, electrochemical impedance spectroscopy analysis is performed on the to-be-tested single cell to test the second multi-frequency internal resistance spectrum of the to-be-tested single cell; Perform a similarity comparison between the second multi-frequency internal resistance spectrum and the second standard multi-frequency internal resistance spectra corresponding to different preset temperatures, and determine a target preset temperature from multiple preset temperatures, so as to determine the target preset temperature as the internal temperature of the to-be-tested single cell; wherein, the preset temperatures are determined in the order from high to low or from low to high based on a preset temperature step; the second standard multi-frequency internal resistance spectra corresponding to the preset temperatures are obtained by performing electrochemical impedance spectroscopy analysis on a large number of single cells placed in a controllable constant temperature box at the preset temperatures.

5. The method according to claim 1 or 4, characterized in that The performing electrochemical impedance spectroscopy analysis on the to-be-tested single cell includes: Determine the range of current amplitude that can be applied to the to-be-tested single cell according to the battery parameters of the to-be-tested single cell; Combined with the range of current amplitude that can be applied to the to-be-tested single cell and the required electrochemical impedance spectrum measurement range, select a plurality of sine signals with different frequencies and equal amplitudes, and superimpose the selected sine signals to form an excitation current signal of the to-be-tested single cell; Apply the excitation current signal to the to-be-tested single cell, and determine a plurality of sampling frequencies according to the required spectrum accuracy and the frequency of the excitation current signal; For each of the sampling frequencies, collect the fluctuating voltage generated by the to-be-tested single cell due to the application of the excitation current signal based on the sampling frequency; Based on the sampling frequency, the fluctuating voltage, and the excitation current signal, calculate the internal real resistance of the to-be-tested single cell at the sampling frequency; Perform a discrete Fourier transform on the ratio of the excitation current signal and the fluctuating voltage to determine the phase difference between the excitation current signal and the fluctuating voltage of the to-be-tested single cell at the sampling frequency, and calculate the imaginary part real resistance of the to-be-tested single cell according to the phase difference; Based on the internal real resistance and imaginary part real resistance of the to-be-tested single cell at different sampling frequencies, form a multi-frequency internal resistance spectrum of the to-be-tested single cell.

6. The method according to claim 3, characterized in that, The device perception layer further includes a current and voltage detection module corresponding to each of the battery packs; the method further includes: Based on the battery monitoring operation of the user on the user terminal, the server sends a battery monitoring instruction to the edge computing terminal through the wireless communication module; The edge computing terminal transmits the battery monitoring instruction to the battery remote capacity calibration device through the serial communication protocol conversion module, so that the battery remote capacity calibration device issues the battery monitoring instruction to the electrochemical impedance digital sensor module corresponding to each of the to-be-tested single cells and the current and voltage detection modules of each of the battery packs; For each of the to-be-tested single cells, after receiving the battery monitoring instruction, the electrochemical impedance digital sensor module corresponding to the to-be-tested single cell monitors the single cell voltage, single cell surface temperature, and single cell impedance of the to-be-tested single cell in real time, and determines whether the to-be-tested single cell is abnormal based on the single cell voltage, the single cell surface temperature, and the single cell impedance. When the to-be-tested single cell is abnormal, the first abnormal information of the to-be-tested single cell is uploaded to the group-end aggregation module, and the first abnormal information is sent to the edge computing terminal through the group-end aggregation module; For each of the battery packs, after receiving the battery monitoring instruction, the current and voltage detection module of the battery pack monitors the on-line charging current, on-line discharging current, and overall voltage of the battery pack in real time, and determines whether the battery pack is abnormal based on the on-line charging current, the on-line discharging current, and the overall voltage. When the battery pack is abnormal, the second abnormal information of the battery pack is uploaded to the group-end aggregation module, and the second abnormal information is sent to the edge computing terminal through the group-end aggregation module; If the edge computing terminal receives the first abnormal information and / or the second abnormal information through the wireless communication module, the received first abnormal information and / or the second abnormal information is uploaded to the server, and the server sends the first abnormal information and / or the second abnormal information to the user terminal, so that the user can view the first abnormal information and / or the second abnormal information on the user terminal.

7. The method according to claim 3, wherein Before the server sends a capacity calibration test instruction to the edge computing terminal through the wireless communication module in response to a capacity calibration test trigger operation of the user on the user terminal, the method further includes: In response to a login operation of the user on the user terminal, the server performs login verification on the user based on the user credential information and three-dimensional dynamic live detection information input by the user; The server sends a capacity calibration test instruction to the edge computing terminal through the wireless communication module in response to a capacity calibration test trigger operation of the user on the user terminal, including: In response to a triggering operation for the capacity verification test by the user on the user terminal, the server sends a secondary authentication page to the user terminal. After the user enters the user credential information and three-dimensional dynamic liveness detection information again in the secondary authentication page, based on the user credential information and three-dimensional dynamic liveness detection information entered by the user again, the server authenticates the triggering operation for the capacity verification test by the user, and after the authentication is passed, sends a capacity verification test instruction to the edge computing terminal through the wireless communication module.

8. The method according to claim 4, wherein The method further includes: For each of the battery packs, the server records the historical operation data of the battery pack at different historical operation times; the historical operation data includes: the individual voltages, pole temperatures, surface temperatures, remaining capacities of the individual cells in the battery pack, and the terminal voltage and charge-discharge current of the battery pack. Using the historical operation data to train the initial time series machine learning algorithm to obtain a prediction model for predicting the remaining capacity of the battery pack. Predict the change trend of the remaining capacity of each of the battery packs through the prediction model.

9. The method according to claim 6, wherein The method further includes: During the time period when the capacity verification test is not performed, the battery remote capacity verification device monitors the discharge amount of each battery pack in real time through each of the current-voltage detection modules. When the discharge amount is greater than the preset discharge amount threshold, the battery pack is switched from the discharge mode to the constant voltage charging mode.

10. A remote online operation and maintenance platform for power generation side storage batteries, characterized in that, The platform includes a platform service layer and a device perception layer deployed at the power production site; the device perception layer includes at least one battery pack and an electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested in each battery pack; the platform service layer includes a server. The server is configured to send a capacity verification test instruction to the electrochemical impedance digital sensor module corresponding to each of the individual cells to be tested based on the triggering operation for the capacity verification test by the user. The electrochemical impedance digital sensor module is configured to, after receiving the capacity verification test instruction, control the individual cell to be tested corresponding to the electrochemical impedance digital sensor module to start discharging from full charge. When the capacitance discharges to each candidate capacitance, perform electrochemical impedance spectroscopy analysis on the individual cell to be tested, and test the first multi-frequency internal resistance spectrum of the individual cell to be tested when the capacitance of the individual cell to be tested is at each candidate capacitance; wherein, the candidate capacitances are determined in the order of capacitance from full charge to complete discharge based on a preset discharge amplitude. The electrochemical impedance digital sensor module is further configured to, for each of the candidate capacitances, compare the first multi-frequency internal resistance spectrum corresponding to the candidate capacitance with the first standard multi-frequency internal resistance spectrum corresponding to the candidate capacitance, and determine the target capacitance from the multiple candidate capacitances, so as to determine the target capacitance as the capacity verification test result of the individual cell to be tested; wherein, each of the first standard multi-frequency internal resistance spectra is obtained by performing electrochemical impedance spectroscopy analysis on a large number of individual cells at the candidate capacitance.

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