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1. CN110750874 - Retired power battery life prediction method

Office
China
Application Number 201910914866.6
Application Date 26.09.2019
Publication Number 110750874
Publication Date 04.02.2020
Grant Number 110750874
Grant Date 28.07.2020
Publication Kind B
IPC
G06F 30/20
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design
20Design optimisation, verification or simulation
G06F 119/04
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
119Details relating to the type or aim of the analysis or the optimisation
04Ageing analysis or optimisation against ageing
CPC
G06F 30/20
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design [CAD]
20Design optimisation, verification or simulation
Applicants CHANGSHA UNIVERSITY OF SCIENCE & TECHNOLOGY
长沙理工大学
Inventors LIU ZHIQIANG
刘志强
ZHAO YANG
赵杨
GAN JUN
甘骏
YANG DILONG
杨迪龙
ZHOU HAOYU
周浩宇
CHEN WENKAI
陈文凯
LI YIQI
李一启
YANG BIN
杨斌
Agents 长沙惟盛赟鼎知识产权代理事务所(普通合伙) 43228
Title
(EN) Retired power battery life prediction method
(ZH) 一种退役动力电池寿命预测方法
Abstract
(EN)
The invention discloses a retired power battery life prediction method. The method is used for predicting the service life of screened same-type retired power batteries with the same state parameters.In the charging and discharging process of the power battery, the temperature T, the discharge rate C and the discharge depth DOD influence the capacity decline of the power battery, a power batterylife attenuation curve is obtained by establishing a charging and discharging characteristic curve of the power battery and a power battery life model; a three-dimensional relation graph of the cyclelife about the capacity loss rate and the function relation is established by using the life attenuation curve, and the three-dimensional relation graph is applied to the same type of batteries, so that the performance attenuation condition of the batteries in the whole life cycle can be predicted. According to the method, the service life of the retired power battery can be quickly predicted through a small amount of calculation, and the working efficiency of an enterprise is greatly improved.

(ZH)
本发明公开了一种退役动力电池寿命预测的方法,本发明针对经过筛选后状态参数相同的同型退役动力电池的寿命预测。利用动力电池充放电过程中,温度T、放电倍率C以及放电深度DOD对动力电池容量衰退影响,通过建立动力电池的充放电特性曲线和动力电池寿命模型得到动力电池寿命衰减曲线,利用寿命衰减曲线建立一个循环寿命关于容量损失率和函数关系的三维关系图,并且将该三维关系图运用到同类型的电池,就能预测出电池在全寿命周期内性能衰减的情况。本发明通过少量的计算能够快速对退役动力电池进行寿命预测,大大提高了企业的工作效率。

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