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Energy storage battery residual life evaluation method and device, equipment and medium

An energy storage battery and life evaluation technology, which is applied in the direction of measuring devices, measuring electricity, and measuring electrical variables, etc., can solve the problems of high cost, long time consumption, and low accuracy, and achieve high accuracy, high universality, and low The effect of operating costs

Active Publication Date: 2022-02-11
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a method, device, equipment and medium for evaluating the remaining life of an energy storage battery to solve the technical problems of low accuracy, long time consumption and high cost of the existing evaluation methods

Method used

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  • Energy storage battery residual life evaluation method and device, equipment and medium
  • Energy storage battery residual life evaluation method and device, equipment and medium
  • Energy storage battery residual life evaluation method and device, equipment and medium

Examples

Experimental program
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Effect test

Embodiment 1

[0073] see figure 1 As shown, the present invention provides a method for evaluating the remaining life of an energy storage battery, comprising the following steps:

[0074] S1. Obtain the working parameters of the energy storage battery and the parameters of the shelving state; the working parameters include: current, voltage, time and temperature; the shelving state parameters include: each time of shelving and temperature;

[0075] S2. According to the data type and granularity of the real energy storage power station, evaluate the battery status based on the operating data, analyze and process the battery data, and extract the parameters of the battery during operation: current, voltage, time, temperature, and obtain through the established coupling relationship The energy loss of the working throughput within the battery △t time:

[0076] ΔQ throughput=f(SOC1)*∑(V*I*Δt*f(T))

[0077] △t is the time interval for selecting operation data;

[0078] V is the average volta...

Embodiment 2

[0120] see figure 2 As shown, the present invention also provides a device for evaluating the remaining life of an energy storage battery, including:

[0121] The acquisition module is used to acquire the working parameters of the energy storage battery and the parameters of the shelving state;

[0122] The first calculation module is used to calculate the working throughput energy loss △Q of the energy storage battery according to the parameters when the energy storage battery is working 吞吐; According to the state parameters of the energy storage battery, calculate the health state △SOH of the accumulated loss of the energy storage battery each time 搁置损耗 ;

[0123] The second calculation module is used to handle the energy loss △Q according to the working throughput of the energy storage battery 吞吐 and △SOH 搁置损耗 Calculate the current state of health loss SOH of the energy storage battery loss ;

[0124] Life prediction module, used to consume SOH according to the curre...

Embodiment 3

[0158] see image 3 As shown, the present invention also provides an electronic device 100 of a method for evaluating the remaining life of an energy storage battery; A computer program 103 running on the processor 102 and at least one communication bus 104 .

[0159] The memory 101 can be used to store the computer program 103, and the processor 102 implements the one described in Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. Method steps of a method for evaluating the remaining life of an energy storage battery. The memory 101 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function, etc.; the data storage area may store data created according to the use of the electronic device 100 Wait. In addition, the memory 101 may include non-volatile memory, such as hard...

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Abstract

The invention belongs to the technical field of energy storage batteries, and discloses an energy storage battery residual life evaluation method and device, equipment and a medium. The method comprises the following steps: acquiring parameters of an energy storage battery during working and shelving state parameters; calculating the working throughput energy loss [delta]Q throughput of the energy storage battery according to the working parameters of the energy storage battery; according to the energy storage battery shelving state parameters, calculating the health state [delta]SOH shelving loss accumulated by each shelving of the energy storage battery; calculating the current health state loss SOHloss of the energy storage battery according to the working throughput energy loss [delta]Q throughput and the [delta]SOH shelving loss of the energy storage battery; and according to the current health state loss SOHloss of the energy storage battery, predicting the residual operation life and the residual shelf life. Compared with the prior art, the method is higher in accuracy, higher in real-time performance and higher in universality, and can be popularized to batteries of various systems.

Description

technical field [0001] The invention belongs to the technical field of energy storage batteries, and in particular relates to a method, device, equipment and medium for evaluating the remaining life of an energy storage battery. Background technique [0002] As of the end of 2020, among all kinds of electrochemical energy storage technologies, the cumulative installed capacity of lithium-ion batteries is the largest, reaching 2.9GW, and will maintain a high-speed growth trend in the next few years. The number of batteries in electrochemical energy storage systems Many, large-scale, and complex operating conditions have high requirements for the safety and life characteristics of energy storage batteries. [0003] As a complex electrochemical system, lithium-ion batteries will gradually degrade in capacity during use. Lithium-ion battery Remaining Useful Life (RUL) prediction, as a cutting-edge technology for lithium-ion battery fault diagnosis and health management, is cruc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/3842G01R31/392
CPCG01R31/3842G01R31/392
Inventor 谭震杨凯范茂松耿萌萌赵曦马慧远高飞渠展展张明杰刘皓赖铱麟
Owner CHINA ELECTRIC POWER RES INST