电池SOC估算算法的中国专利分析  

Chinese patent analysis of battery SOC estimation algorithm

作　　者：孟欣[1] 金鹏[2] MENG Xin;JIN Peng(Intellectual Property Publishing House ,Beijing 100088,China;School of Electrical and Control Engineering,North China University of Technology,Beijing 100144,China)

机构地区：[1]知识产权出版社,北京100088 [2]北方工业大学电气与控制工程学院,北京100144

出　　处：《电池》2018年第6期421-423,共3页Battery Bimonthly

摘　　要：对截至2017年11月30日的电池荷电状态(SOC)估算算法中国专利申请数据进行挖掘和系统分析。目前,SOC估算算法专利申请人主要是企业,研究的重点是卡尔曼滤波算法,针对的电池类型主要是锂离子电池。探讨中国SOC估算算法的研究现状与技术发展趋势。企业和相关研究机构,应发挥各自的优势,可根据SOC估算算法的技术发展趋势来调整研究方向。The Chinese patent application data of battery state of charge(SOC)estimation algorithm up to November 30,2017 were mined and systematically analyzed.The SOC estimation algorithm patent applicants were mainly enterprises,the research was focused on the Kalman filter algorithm,the hattery type was mainly the Li-ion battery.The research status and technology development trends of Chinese SOC estimation algorithms were discussed.Companies and related research institutions could exert their respective advantages,adjust the research direction according to the technological development trend of SOC estimation algorithms.

关 键 词：电池 荷电状态(SOC) 估算算法 技术现状 发展趋势 

分 类 号：TM912.9[电气工程—电力电子与电力传动]