汽车蓄电池老化原理及其在线学习算法  

Aging Principle of Automotive Battery and Its Online Learning Algorithm

作　　者：俞潇强 吴涛 孙竞[1] YU Xiao-qiang;WU Tao;Sun jing(Pan Asia Technical Automotive Center Co.,Ltd.,Shanghai,201201,China)

机构地区：[1]泛亚汽车技术中心有限公司,上海201201

出　　处：《汽车电器》2021年第6期40-42,45,共4页Auto Electric Parts

摘　　要：在汽车工业中铅酸蓄电池的老化现象非常普遍,如何能够提前识别出蓄电池老化以及制定相应的整车保护措施是当前研究的热点。本文介绍了蓄电池老化的背景和意义,几种常见的老化种类,阐述了蓄电池的相关老化信号定义以及开发算法。最后通过相应的标定来将相关的信号运用到整车的功能中并给实际用户带来收益。In the automotive industry,the aging phenomenon of lead-acid battery is very common.How to identify the aging of lead-acid battery in advance and make the corresponding vehicle protection measures is the current research focus.This paper describes the background and the significance of studying the battery aging,then introduce several common aging types.And the definition and development algorithm of related aging signal of battery are introduced.Finally,through the corresponding calibration,the relevant signals are applied to the functions of the vehicle and bring benefits to the actual users.

关 键 词：蓄电池硫化 活性物质脱落 板栅腐蚀 SOC SOF SOH 

分 类 号：U463.6[机械工程—车辆工程]