六自由度振动老化条件下锂离子电池的衰退机理诊断与SOH预测

被引：16

作者：

李文华 ^{[1
]}

邵方旭 ^{[1
]}

暴二平 ^{[2
]}

何明泽 ^{[1
]}

王洋洋 ^{[1
]}

机构：

[1] 河北工业大学省部共建电工装备可靠性与智能化国家重点实验室

[2] 中国航天建设集团有限公司

来源：

仪器仪表学报 | 2021年 / 41卷 / 08期

关键词：

锂离子电池; 健康状态; 振动; 老化; 容量增量; 衰退机理;

D O I：

10.19650/j.cnki.cjsi.J2107895

中图分类号：

U469.72 [电动汽车]; TM912 [蓄电池];

学科分类号：

080802 [电力系统及其自动化]; 082301 [道路与铁道工程];

摘要：

电动汽车锂离子电池会受振动与老化影响而加速衰减,为了诊断振动老化条件下的衰退机理,实现健康状态(SOH)预测,采取如下措施:首先,分析电池受振动影响的衰减结果;其次,辨识衰退模式,利用容量增量-微分电压(IC-DV)曲线对衰退模式进行量化,Z组结果为:活性物质损失(36.94%)、锂离子损失(35.12%)、电导率损失(1.9%);最后,将量化结果输入建立的GA-Elman模型实现SOH预测,结果误差保持在5%以内,满足电池管理系统(BMS)预测的要求。该研究为振动老化条件下锂离子电池的衰退机理诊断与SOH预测提供了依据,有助于BMS制定相关策略延长电池使用寿命。

引用

页码：62 / 69

页数：8

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