Lithium battery energy storage system battery cluster consistency detection device and method

Abstract

The invention relates to the technical field of lithium battery energy storage system intelligent detection and operation and maintenance, and discloses a lithium battery energy storage system battery cluster consistency detection device and method. The method comprises the steps that detection loops of battery clusters are sequentially connected through a control system, characteristic voltage and current signals of each battery cluster are collected, the consistency characteristic value of each battery cluster is calculated, and the dispersion rate between the clusters is analyzed through accumulative root-mean-square deviation; compared with the prior art which only depends on single cell voltage detection and cannot realize real-time monitoring and early warning of the consistency of the battery clusters especially under a multi-cluster parallel working condition, the method provided by the invention realizes rapid identification of the inconsistency between the battery clusters through accurate characteristic voltage acquisition and dispersion rate calculation, and improves the detection accuracy of the inconsistency between the battery clusters. Therefore, system potential safety hazards caused by degradation or faults of the battery clusters are avoided, and the safety, the reliability and the operation and maintenance efficiency of the energy storage system are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent detection and operation and maintenance of lithium battery energy storage systems, and in particular relates to a battery cluster consistency detection device and method for lithium battery energy storage systems. Background Art

[0002] At present, lithium battery energy storage systems are prone to inconsistency problems between battery clusters during long-term operation, which is mainly manifested in the imbalance of internal resistance, voltage and current between different battery clusters, affecting the overall performance and safety of the energy storage system. For example, the existing detection method relies on the BMS system to monitor the voltage of the single cell. However, due to the low detection accuracy of the BMS and the limitation to single voltage acquisition, it is difficult to timely detect potential aging and deterioration problems within the battery cluster under complex working conditions, resulting in low efficiency in the operation and maintenance and troubleshooting of the energy storage system. Existing technologies cannot fully meet the needs of high-precision real-time monitoring and early warning of large-scale energy storage systems. Therefore, there is an urgent need for a technology that can still achieve high-precision detection of battery cluster consistency under complex working conditions and when multiple battery clusters are operating in parallel, so as to improve the safety, reliability and operation and maintenance efficiency of the energy storage system. Summary of the invention

[0003] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to propose a battery cluster consistency detection device and method for a lithium battery energy storage system, aiming to solve the technical problem that the prior art only relies on single cell voltage detection, especially under the condition of multiple clusters working in parallel, and cannot realize real-time monitoring and early warning of battery cluster consistency.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a battery cluster consistency detection device and method for a lithium battery energy storage system. Preferably, the battery cluster consistency detection device of the lithium battery energy storage system comprises: Battery cluster negative terminal connection point module: including n connection points, used to connect the total negative terminal of the battery cluster of the DC compartment of the energy storage system, where the value of n is determined by the number of battery clusters of the energy storage system; Relay switch module: comprising a plurality of relay switches, each relay switch being connected to a negative terminal of a battery cluster, and being used for connecting to the test paths of the battery cluster one by one according to the control instruction of the control system; Resonant circuit module: including multiple relays, multiple reactors and capacitor C, wherein the relays are used to control the on-state of different reactors, thereby forming different resonant frequencies by combining different reactor values ​​with capacitor C; Control module: used to control the relay switches and relays, including controlling each relay switch to connect to the test path of the battery cluster one by one, and controlling the connection combination of the relays in the resonant circuit; this module is also used to measure the voltage signal of each battery cluster and current signal i, and based on the measured voltage signal The consistency between battery clusters is determined by the current signal i.

[0005] Preferably, in the relay switch module, only one relay switch is turned on each time during detection, and the other switches are turned off, so as to detect the consistency of each battery cluster in turn.

[0006] Preferably, in the resonant circuit module, the capacitor C is an adjustable capacitor, which supports adjusting its capacitance value according to on-site requirements.

[0007] Preferably, the lithium battery energy storage system battery cluster consistency detection method comprises: Step S10: Control one of the multiple relay switches to turn on through the control system, and disconnect the remaining relay switches at the same time, and control one of the multiple relays to output a control pulse with a pulse period of 1ms and a duty cycle of 50%. After the pulse signal is output, measure the characteristic voltage value of the first cluster ; Step S20: measuring the characteristic voltage value of each cluster in turn to When measuring each battery cluster, only one of the corresponding relay switches is turned on, and the other switches remain off until the characteristic voltage value of all battery clusters reaches to All were measured; Step S30: The characteristic voltage value of the battery cluster to The corresponding waveform is recorded along the time axis, and each characteristic voltage value includes k peak values ​​D1, D2, ..., Dk; Step S40: Calculate the characteristic voltage value of the battery cluster to The average value of the voltage of each cluster is calculated by using the cumulative root mean square deviation. Step S50: comparing the discrete rates of the voltages of each cluster, and when the discrete rate of a cluster deviates from a preset threshold, abnormal warning information is pushed to the front-end device in a wireless or wired manner.

[0008] Preferably, in step S30, the value of the number k of peaks supports dynamic adjustment.

[0009] Preferably, in step S40, the average value is calculated using the formula:

[0010] in, represents the average characteristic voltage of the i-th battery cluster under the conduction test condition, and k is the number of peaks.

[0011] Preferably, in step S40, the discrete rate The calculation formula is:

[0012] in, represents the average characteristic voltage of the ith battery cluster, Represents the average of the characteristic voltage averages of all battery clusters.

[0013] The present invention also provides a lithium battery energy storage system battery cluster consistency detection system comprising: The first measurement module is used to control one of the multiple relay switches to be turned on through the control system, and to disconnect the other relay switches at the same time, and to control one of the multiple relays to output a control pulse with a pulse period of 1ms and a duty cycle of 50%. After the pulse signal is output, the characteristic voltage value of the first cluster is measured. ; Sequential measurement module, used to measure the characteristic voltage value of each cluster in turn to When measuring each battery cluster, only one of the corresponding relay switches is turned on, and the other switches remain off until the characteristic voltage value of all battery clusters reaches to All were measured; Data recording module, used to record the characteristic voltage value of the battery cluster to The corresponding waveform is recorded along the time axis, and each characteristic voltage value includes k peak values ​​D1, D2, ..., Dk; Data processing module, used to calculate the characteristic voltage value of the battery cluster to The average value of the voltage of each cluster is calculated by using the cumulative root mean square deviation. The early warning module is used to compare the discrete rate of each cluster voltage. When the discrete rate of a cluster deviates from the preset threshold, the abnormal early warning information is pushed to the front-end device via wireless or wired means.

[0014] The present invention also provides a lithium battery energy storage system battery cluster consistency detection device, comprising a memory, a processor, and a lithium battery energy storage system battery cluster consistency detection program stored in the memory and executable on the processor, wherein the lithium battery energy storage system battery cluster consistency detection program implements the lithium battery energy storage system battery cluster consistency detection method when executed by the processor.

[0015] The present invention also provides a computer program product, including a lithium battery energy storage system battery cluster consistency detection program, and when the lithium battery energy storage system battery cluster consistency detection program is executed by a processor, the lithium battery energy storage system battery cluster consistency detection method is implemented.

[0016] The beneficial effect of the present invention is that compared with the prior art which only relies on single cell voltage detection, especially under the condition of multi-cluster parallel operation, and cannot realize the technical problem of real-time monitoring and early warning of battery cluster consistency, the present application realizes rapid identification of inconsistencies between battery clusters through precise characteristic voltage collection and discrete rate calculation, thereby avoiding system safety hazards caused by battery cluster degradation or failure, and improving the safety, reliability and operation and maintenance efficiency of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 The figure is a flow chart of a first embodiment of a method for detecting consistency of a battery cluster of a lithium battery energy storage system according to the present invention.

[0019] Figure 2 Record voltage data for the battery cluster when the relay is turned on.

[0020] Figure 3 It is a schematic diagram of a battery cluster consistency detection device for a lithium battery energy storage system of the present invention.

[0021] Figure 4 It is a schematic diagram of a battery cluster consistency detection device for a lithium battery energy storage system of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Embodiment 1: Figure 1 , which is a flow chart of a first embodiment of a method for detecting consistency of a battery cluster in a lithium battery energy storage system according to the present invention, provides a first embodiment of a method for detecting consistency of a battery cluster in a lithium battery energy storage system according to the present invention.

[0024] In a first embodiment, the lithium battery energy storage system battery cluster consistency detection method includes: Step S10: Control one of the multiple relay switches to turn on through the control system, and disconnect the remaining relay switches at the same time, and control one of the multiple relays to output a control pulse with a pulse period of 1ms and a duty cycle of 50%. After the pulse signal is output, measure the characteristic voltage value of the first cluster ; It should be noted that the cycle and duty cycle parameters of the control pulse are selected based on the requirements of detection accuracy and response time. A cycle of 1ms and a duty cycle of 50% can provide sufficient sampling frequency to capture the transient voltage change characteristics of the battery cluster, thereby accurately reflecting the consistency of the battery cluster. By controlling the control system to connect each battery cluster one by one and disconnect other battery clusters, each battery cluster can be tested independently, avoiding interference of other battery clusters with the accuracy of the test data.

[0025] Step S20: measuring the characteristic voltage value of each cluster in turn to When measuring each battery cluster, only one of the corresponding relay switches S2 to Sn is turned on, and the other switches remain off until the characteristic voltage value of all battery clusters reaches to All were measured; It should be noted that the process of measuring the characteristic voltage of each battery cluster in turn is intended to ensure that the measurement data of each battery cluster is independent and interference-free. By turning on only one relay switch, the influence of the electrical characteristics of other battery clusters on the current measurement results is avoided, thereby improving the detection accuracy and data reliability.

[0026] Step S30: The characteristic voltage value of the battery cluster to The corresponding waveform is recorded along the time axis, and each characteristic voltage value includes k peak values ​​D1, D2, ..., Dk; It should be noted that in the process of recording the characteristic voltage of the battery cluster, the waveform of the characteristic voltage is recorded in detail along the time axis in order to capture the voltage change characteristics of the battery cluster at different time points. These peaks D1, D2, …, Dk reflect the response characteristics of the battery cluster under a specific excitation signal. Different peaks can reveal the changes in the electrical characteristics within the battery cluster, which facilitates the analysis of the consistency and health status between battery clusters. Recording the peak data of each characteristic voltage can provide richer battery cluster performance information. Compared with only recording a single voltage value, this waveform recording method can extract more characteristic parameters in subsequent analysis, thereby more accurately evaluating the consistency of the battery cluster.

[0027] It should be understood that each cluster corresponds to a set of record data, for example: U_R1_L1= [D1, D2…Dk], represents the recorded voltage data of the first cluster when SL1 is turned on; U_R1_L2= [D1, D2…Dk], represents the recorded voltage data of the first cluster when SL2 is turned on; U_R1_L3= [D1, D2…Dk], represents the recorded voltage data of the first cluster when SL3 is turned on; The same is true for other clusters, where voltage data is detected and stored. The positions of D1, D2, ... Dk are given by Figure 2 As shown, D represents the positive peak of the characteristic voltage value, and 1, 2…k represents the position of D, which is arranged from large to small.

[0028] Step S40: Calculate the characteristic voltage value of the battery cluster to The average value of the voltage of each cluster is calculated by using the cumulative root mean square deviation. It should be noted that the calculation of the cumulative root mean square deviation is to quantify the degree of consistency between the characteristic voltage values ​​of each battery cluster. By calculating the deviation of the characteristic voltage values ​​of each cluster, the overall level of voltage consistency between the battery clusters can be determined. The smaller the discrete rate, the more consistent the voltage characteristics of each battery cluster, thereby ensuring the stability and reliability of the energy storage system; the larger the discrete rate, the greater the difference between the battery clusters, which may have hidden dangers of aging or failure.

[0029] For example, the specific calculation method can be: The first cluster of data:

[0030]

[0031]

[0032] in: Characterizes the test characteristic values ​​obtained during the SL1 conduction test of the first cluster.

[0033] Characterizes the test characteristic values ​​obtained during the SL2 conduction test of the first cluster.

[0034] Characterizes the test characteristic values ​​obtained during the SL3 conduction test of the first cluster.

[0035] calculate:

[0036] Then R1R1R1 is the comprehensive eigenvalue of the first cluster.

[0037] Similarly, the characteristic values ​​R2, R3, ..., Rn of other battery clusters are calculated.

[0038] (2) Discreteness rate calculation The discrete rate of the characteristic value of each battery cluster is calculated to evaluate the consistency between battery clusters. The discrete rate is calculated using the cumulative root mean square deviation (RMSD) formula: Discreteness The calculation formula is:

[0039] in, represents the average characteristic voltage of the ith battery cluster, represents the average value of the characteristic voltage averages of all battery clusters, is the total number of battery clusters.

[0040] The discrete rate reflects the degree of deviation of the characteristic values ​​of each battery cluster. The smaller the discrete rate, the better the consistency and the more stable the system. If the discrete rate is large, it means that there are large differences between battery clusters and further inspection and maintenance may be required.

[0041] Step S50: comparing the discrete rates of the voltages of each cluster, and when the discrete rate of a cluster deviates from a preset threshold, abnormal warning information is pushed to the front-end device in a wireless or wired manner.

[0042] It should be noted that the preset threshold is a reference value set according to the normal operating parameters and historical data of the system. This threshold is used to determine whether the consistency between battery clusters is within an acceptable range. If the discrete rate of a battery cluster exceeds the threshold, it means that there is a significant abnormal deviation in the characteristic voltage of the cluster, which may indicate that the battery cluster has potential faults, aging or degradation problems.

[0043] By pushing abnormal warning information to the front-end equipment in real time, operation and maintenance personnel can promptly learn about potential fault hazards in the system, so as to take inspection or maintenance measures in advance, avoid greater fault risks caused by abnormal battery clusters, and improve the operational safety and reliability of the system. This real-time warning mechanism can use wireless communication (such as Wi-Fi, 4G / 5G) or wired communication (such as Ethernet) to achieve remote monitoring and efficient operation and maintenance.

[0044] Embodiment 2: Figure 3 As shown, Figure 3 Schematic diagram of a battery cluster consistency detection device for a lithium battery energy storage system. In a second embodiment, the battery cluster consistency detection device for a lithium battery energy storage system includes: Battery cluster negative terminal connection point module: including n connection points, used to connect the total negative terminal of the battery cluster of the DC compartment of the energy storage system, where the value of n is determined by the number of battery clusters of the energy storage system; Relay switch module: comprising a plurality of relay switches, each relay switch being connected to a negative terminal of a battery cluster, and being used for connecting to the test paths of the battery cluster one by one according to the control instruction of the control system; Resonant circuit module: including multiple relays, multiple reactors and capacitor C, wherein the relays are used to control the on-state of different reactors, thereby forming different resonant frequencies by combining different reactor values ​​with capacitor C; Control module: used to control the relay switches and relays, including controlling each relay switch to connect to the test path of the battery cluster one by one, and controlling the connection combination of the relays in the resonant circuit; this module is also used to measure the voltage signal of each battery cluster and current signal i, and based on the measured voltage signal The consistency between battery clusters is determined by the current signal i.

[0045] It should be noted that the combination of relays and reactors in the resonant circuit module is designed to achieve different resonant frequencies. This design can flexibly adapt to different battery cluster characteristics, thereby optimizing the accuracy and effectiveness of detection. By combining and controlling SL1, SL2, and SL3, different reactance values ​​can be generated to make the resonant frequency cover more frequency bands, so as to detect the consistency of battery clusters under different frequency conditions.

[0046] It should be noted that the relay switch module connects each battery cluster one by one under the command of the control system to ensure that the measurement data of each battery cluster is independent, thereby avoiding measurement errors caused by interference from other battery clusters. The design purpose of this module is to improve the accuracy of data acquisition and ensure the consistency of subsequent analysis. The control module is responsible for switching the relay switches S1 to Sn and connecting the combination of SL1, SL2 and SL3 in the resonant circuit, and then measuring the characteristic voltage signal and current signal of the battery cluster. The control module automatically performs these switching operations, making the entire detection process efficient and accurate, thereby improving the reliability of the detection results.

[0047] In addition, the present invention provides a lithium battery energy storage system battery cluster consistency detection system, which adopts a lithium battery energy storage system battery cluster consistency detection method in the above embodiment, and can solve a technical problem of lithium battery energy storage system battery cluster consistency detection. Compared with the prior art, the beneficial effects of the lithium battery energy storage system battery cluster consistency detection system provided by the present invention are the same as the beneficial effects of the lithium battery energy storage system battery cluster consistency detection method provided by the above embodiment, and the other technical features of the lithium battery energy storage system battery cluster consistency detection system are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0048] The present invention provides a lithium battery energy storage system battery cluster consistency detection device, please refer to Figure 4 A battery cluster consistency detection device for a lithium battery energy storage system includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a battery cluster consistency detection method for a lithium battery energy storage system in the above-mentioned embodiment 1. A battery cluster consistency detection device for a lithium battery energy storage system in an embodiment of the present invention may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. A battery cluster consistency detection device for a lithium battery energy storage system is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention. A battery cluster consistency detection device for a lithium battery energy storage system may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of a battery cluster consistency detection device for a lithium battery energy storage system are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow a lithium battery energy storage system battery cluster consistency detection device to communicate wirelessly or wired with other devices to exchange data. Although a lithium battery energy storage system battery cluster consistency detection device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0049] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of a method for detecting consistency of a battery cluster of a lithium battery energy storage system as described above. The computer program product provided by the present invention can solve the technical problem of detecting consistency of a battery cluster of a lithium battery energy storage system. Compared with the prior art, the beneficial effects of the computer program product provided by the present invention are the same as the beneficial effects of the method for detecting consistency of a battery cluster of a lithium battery energy storage system provided by the above embodiment, and will not be described in detail here.

[0050] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present invention are executed.

[0051] It should be understood that the various parts disclosed in the present invention can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0052] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A battery cluster consistency detection device for a lithium battery energy storage system, characterized in that: The lithium battery energy storage system battery cluster consistency detection device comprises: Battery cluster negative terminal connection point module: including n connection points, used to connect the total negative terminal of the battery cluster of the DC compartment of the energy storage system, where the value of n is determined by the number of battery clusters of the energy storage system; Relay switch module: comprising a plurality of relay switches, each relay switch being connected to a negative terminal of a battery cluster, and being used for connecting to the test paths of the battery cluster one by one according to the control instruction of the control system; Resonant circuit module: including multiple relays, multiple reactors and capacitor C, wherein the relays are used to control the on-state of different reactors, thereby forming different resonant frequencies by combining different reactor values ​​with capacitor C; Control module: used to control the relay switches and relays, including controlling each relay switch to connect to the test path of the battery cluster one by one, and controlling the connection combination of the relays in the resonant circuit; this module is also used to measure the voltage signal of each battery cluster and current signal i, and based on the measured voltage signal The consistency between battery clusters is determined by the current signal i.

2. A battery cluster consistency detection device for a lithium battery energy storage system as claimed in claim 1, characterized in that: In the relay switch module, only one relay switch is turned on at a time during detection, and the other switches are turned off to achieve consistency of each battery cluster detected in turn.

3. A battery cluster consistency detection device for a lithium battery energy storage system as claimed in claim 1, characterized in that: In the resonant circuit module, the capacitor C is an adjustable capacitor, which supports adjusting its capacitance value according to on-site requirements.

4. A method for detecting consistency of a battery cluster in a lithium battery energy storage system, characterized in that: The lithium battery energy storage system battery cluster consistency detection method comprises: Step S10: Control one of the multiple relay switches to turn on through the control system, and disconnect the remaining relay switches at the same time, and control one of the multiple relays to output a control pulse with a pulse period of 1ms and a duty cycle of 50%. After the pulse signal is output, measure the characteristic voltage value of the first cluster ; Step S20: measuring the characteristic voltage value of each cluster in turn to When measuring each battery cluster, only one of the corresponding relay switches is turned on, and the other switches remain off until the characteristic voltage value of all battery clusters reaches to All were measured; Step S30: The characteristic voltage value of the battery cluster to The corresponding waveform is recorded along the time axis, and each characteristic voltage value includes k peak values ​​D1, D2, ..., Dk; Step S40: Calculate the characteristic voltage value of the battery cluster to The average value of the voltage of each cluster is calculated by using the cumulative root mean square deviation. Step S50: comparing the discrete rates of the voltages of each cluster, and when the discrete rate of a cluster deviates from a preset threshold, abnormal warning information is pushed to the front-end device in a wireless or wired manner.

5. A method for detecting consistency of a battery cluster in a lithium battery energy storage system according to claim 4, characterized in that: In step S30, the value of the number k of peaks supports dynamic adjustment.

6. A method for detecting consistency of a battery cluster in a lithium battery energy storage system according to claim 4, characterized in that: In step S40, the average value is calculated using the formula: in, represents the average characteristic voltage of the i-th battery cluster under the conduction test condition, and k is the number of peaks.

7. A method for detecting consistency of a battery cluster in a lithium battery energy storage system according to claim 4, characterized in that: In step S40, the discrete rate The calculation formula is: in, represents the average characteristic voltage of the ith battery cluster, Represents the average of the characteristic voltage averages of all battery clusters.

8. A lithium battery energy storage system battery cluster consistency detection system, characterized in that: The lithium battery energy storage system battery cluster consistency detection system comprises: The first measurement module is used to control one of the multiple relay switches to be turned on through the control system, and to disconnect the other relay switches at the same time, and to control one of the multiple relays to output a control pulse with a pulse period of 1ms and a duty cycle of 50%. After the pulse signal is output, the characteristic voltage value of the first cluster is measured. ; Sequential measurement module, used to measure the characteristic voltage value of each cluster in turn to When measuring each battery cluster, only one of the corresponding relay switches is turned on, and the other switches remain off until the characteristic voltage value of all battery clusters reaches to All were measured; Data recording module, used to record the characteristic voltage value of the battery cluster to The corresponding waveform is recorded along the time axis, and each characteristic voltage value includes k peak values ​​D1, D2, ..., Dk; Data processing module, used to calculate the characteristic voltage value of the battery cluster to The average value of the voltage of each cluster is calculated by using the cumulative root mean square deviation. The early warning module is used to compare the discrete rate of each cluster voltage. When the discrete rate of a cluster deviates from the preset threshold, the abnormal early warning information is pushed to the front-end device via wireless or wired means.

9. A lithium battery energy storage system battery cluster consistency detection device, characterized in that: The lithium battery energy storage system battery cluster consistency detection device comprises: A memory, a processor, and a lithium battery energy storage system battery cluster consistency detection program stored in the memory and executable on the processor, wherein the lithium battery energy storage system battery cluster consistency detection program, when executed by the processor, implements the lithium battery energy storage system battery cluster consistency detection method described in any one of claims 1 to 7.

10. A computer program product, characterized in that The computer program product comprises a lithium battery energy storage system battery cluster consistency detection program, and when the lithium battery energy storage system battery cluster consistency detection program is executed by a processor, a lithium battery energy storage system battery cluster consistency detection method described in any one of claims 1 to 7 is implemented.

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