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Mass-state imbalance prediction method for lithium iron phosphate battery safety management system for energy storage

A lithium iron phosphate battery, safety management technology, applied to secondary batteries, secondary battery repair/maintenance, circuits, etc., can solve problems such as deviation of prediction results from correct values, poor mathematical model effects, etc., to ensure operating life and expectations Economic benefits, the effect of achieving consistent management

Active Publication Date: 2020-09-04
STATE GRID JIANGSU ECONOMIC RES INST +1
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Problems solved by technology

In addition, the current data analysis methods used to predict and judge abnormal batteries mostly use the average value of data to obtain a standard model, and then use this model to compare with battery data to find abnormal batteries. This method will be greatly affected by abnormal data points , the more abnormal data points, the worse the obtained mathematical model, and the more the prediction results of abnormal batteries deviate from the correct value

Method used

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  • Mass-state imbalance prediction method for lithium iron phosphate battery safety management system for energy storage
  • Mass-state imbalance prediction method for lithium iron phosphate battery safety management system for energy storage
  • Mass-state imbalance prediction method for lithium iron phosphate battery safety management system for energy storage

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Embodiment Construction

[0036] The invention is a method for predicting mass-state imbalance applied to a safety management system of a lithium iron phosphate battery for energy storage, comprising the following steps:

[0037] 1. Use the impedance detection module to measure the discharge characteristics of all n batteries in the same batch and in the same time period within 2 hours, that is, to measure the time-impedance data curve of the batch of batteries. The data sampling period is 1 minute, and each data curve There are 120 data points in total, and the data curves of n batteries are sent to the remote server.

[0038] 2. The remote server calculates the mathematical prediction model based on the batch curve data and the effective data set.

[0039] Among them, the establishment process of the prediction model is as follows, such as figure 1 Shown:

[0040] (1) Number the time-impedance curves of n batteries: 1, 2...n;

[0041] (2) Randomly select m curves, where m is not less than 75% of t...

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Abstract

The invention discloses a quality state imbalance prediction method for an energy storage lithium iron phosphate battery safety management system. The electrochemical characteristics of batteries areanalyzed according to the change trend information of impedance in the battery discharge process and consistency judgment is performed. Time-impedance data curves of all the batteries are collected, aprediction mathematical model is established, the correlation coefficient of the mathematical model and an original data curve is calculated, the batteries with electrochemical characteristics obviously different from those of other batteries are judged, and the battery numbers are reported to an administrator in time so as to replace the batteries in time. The method can greatly save the labor cost, and has a significant promotion effect on realizing consistency management of an energy storage battery system and guaranteeing the operation life and expected economic benefit of an energy storage power station.

Description

technical field [0001] The invention belongs to the technical field of storage batteries, in particular to a method for predicting mass-state imbalance used in a battery safety management system. Background technique [0002] In the safety management system of lithium iron phosphate batteries for energy storage, the research on the mass-state imbalance of lithium iron phosphate batteries for energy storage has always been a very important issue. Affected by the production process, there are more or less differences in the internal chemical elements of the battery when it leaves the factory, and the battery needs to be used in groups in most applications. With the accumulation of cycle charge and discharge, the inconsistency between the batteries will become more and more Large, leading to a serious decline in the quality of a single battery, the charge and discharge indicators of the entire cluster are not up to the requirements, the rate of quality decline of other cells is...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H01M10/42G06F30/20
CPCH01M10/4207H01M2010/4278Y02E60/10
Inventor 何大瑞李妍孙建龙朱寰田方媛童国道陈夕松翟军勇牛丹沈启鹏王鹤莹
Owner STATE GRID JIANGSU ECONOMIC RES INST
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