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基于模型的锂离子电池SOC及SOH估计方法研究进展

沈佳妮 贺益君 马紫峰

化工学报2018,Vol.69Issue(1):309-316,8.
化工学报2018,Vol.69Issue(1):309-316,8.DOI:10.11949/j.issn.0438-1157.20171097

基于模型的锂离子电池SOC及SOH估计方法研究进展

Progress of model based SOC and SOH estimation methods for lithium-ion battery

沈佳妮 1贺益君 2马紫峰1

作者信息

  • 1. 上海交通大学化工系,上海 200240
  • 2. 上海电化学能源器件工程技术中心,上海 200240
  • 折叠

摘要

Abstract

Battery management system (BMS) is an important way to ensure the efficient, reliable and safety operation of lithium-ion battery system.Among the BMS functions, estimation of battery states, especially the state of charge (SOC) and state of health (SOH), is critical to the overall performance.They are not only directly related to battery safety operation during the whole life, but also sever as the urgent prerequisite for implementing other facilities.We reviewed the domestic and foreign development of model-based battery state estimation methods, including battery model and estimation methods of SOC and SOH, in the hope of providing some inspirations to the research in this field.

关键词

锂离子电池/电池管理系统/电池模型/荷电状态估计/健康状态估计

Key words

lithium-ion battery/battery management system/battery model/state of charge estimation/state of health estimation

分类

信息技术与安全科学

引用本文复制引用

沈佳妮,贺益君,马紫峰..基于模型的锂离子电池SOC及SOH估计方法研究进展[J].化工学报,2018,69(1):309-316,8.

基金项目

国家重点基础研究发展计划项目(2014CB239703) (2014CB239703)

国家重点研发计划项目(2016YFB0901505) (2016YFB0901505)

国家自然科学基金项目(21576163,21336003). supported by the National Basic Research Program of China (2014CB239703),the National Key Research and Development Program of China (2016YFB0901505) and the National Natural Science Foundation of China (21576163,21336003). (21576163,21336003)

化工学报

OA北大核心CSCDCSTPCD

0438-1157

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