储能科学与技术 ›› 2017, Vol. 6 ›› Issue (6): 1321-.doi: 10.12028/j.issn.2095-4239.2017.0008

• 进展与评述 • 上一篇    下一篇

基于微分曲线的LiFePO4电池SOC估计算法研究

侯朝勇1，数见昌弘2，许守平1，彭文凭2   

  1. 1中国电力科学研究院，北京 100192；2横河电机（中国）有限公司，北京100020
  • 出版日期:2017-11-01 发布日期:2017-11-01
  • 通讯作者: 侯朝勇（1979—），男，高级工程师，研究方向为电池管理系统及储能应用，E-mail：houchaoyong@epri.sgcc.com.cn
  • 基金资助:
    国家自然科学基金项目（51407167），国家电网公司科技项目（DG71-14-001）。

Research of SOC estimation algorithm for LiFePO4 battery based on differential curves

HOU Chaoyong1, MASAHIRO Kazumi2, XU Shouping1, PENG Wenping2   

  1. 1China Electric Power Research Institute, Beijing 100192, China; 2Yokogawa China Co., Ltd., Beijing 100020, China
  • Online:2017-11-01 Published:2017-11-01

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被引次数

1

摘要： 电池荷电状态是电池剩余容量状态的重要参数，电池荷电状态准确实时的估算是进行电池有效管控的基础。本文首先根据储能用磷酸铁锂电池的开路电压相对SOC变化率的关系，确定电池荷电状态的识别区；分析电池在不同老化程度、环境温度和充放电倍率等因素影响下的电压和容量的微分曲线（dV/dQ vs. Q），提出了在识别区采用微分曲线进行SOC校正的算法；最后，建立了电池实验系统，验证提出的算法的精度和适用性。

关键词: 磷酸铁锂电池, 荷电状态, 识别区, 微分曲线

Abstract:

The state of charge (SOC) of battery is an important parameter for battery capacity state, the accurate and real-time prediction is one of the most essential performances of for battery management system (BMS). Firstly, according to the open circuit voltage (OCV) characteristic of LiFePO4 battery, the identification zone for SOC is determined. Under different aging conditions, ambient temperature and charge/discharge ratio, the differential curve of voltage versus capacity (dV/dQ vs. Q) against the charging progress was analyzed. Based on analysis results, the correction algorithm of SOC is proposed using the differential curve. Finally, the lithium battery energy storage system is built, the accuracy and applicability of the algorithm is verified  by the experimental results .

Key words: LiFePO4 battery, state of charge, identification zone, differential curves