• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Robustness of SOC Estimation Algorithms for EV Lithium-Ion Batteries against Modeling Errors and Measurement Noise
【24h】

Robustness of SOC Estimation Algorithms for EV Lithium-Ion Batteries against Modeling Errors and Measurement Noise

机译：电动汽车锂离子电池SOC估计算法对建模误差和测量噪声的鲁棒性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

State of charge (SOC) is one of the most important parameters in battery management system (BMS). There are numerous algorithms for SOC estimation, mostly of model-based observer/filter types such as Kalman filters, closed-loop observers, and robust observers. Modeling errors and measurement noises have critical impact on accuracy of SOC estimation in these algorithms. This paper is a comparative study of robustness of SOC estimation algorithms against modeling errors and measurement noises. By using a typical battery platform for vehicle applications with sensor noise and battery aging characterization, three popular and representative SOC estimation methods (extended Kalman filter, PI-controlled observer, and.. 8 observer) are compared on such robustness. The simulation and experimental results demonstrate that deterioration of SOC estimation accuracy under modeling errors resulted from aging and larger measurement noise, which is quantitatively characterized. The findings of this paper provide useful information on the following aspects: (1) how SOC estimation accuracy depends on modeling reliability and voltage measurement accuracy; (2) pros and cons of typical SOC estimators in their robustness and reliability; (3) guidelines for requirements on battery system identification and sensor selections.
机译：充电状态（SOC）是电池管理系统（BMS）中最重要的参数之一。有许多用于SOC估计的算法，其中大多数是基于模型的观察器/滤波器类型，例如Kalman滤波器，闭环观察器和鲁棒观察器。在这些算法中，建模误差和测量噪声对SOC估计的准确性具有至关重要的影响。本文是对SOC估计算法针对建模误差和测量噪声的鲁棒性的比较研究。通过将典型的电池平台用于具有传感器噪声和电池老化特性的车辆应用，在这种鲁棒性上比较了三种流行且具有代表性的SOC估计方法（扩展的Kalman滤波器，PI控制的观察器和8个观察器）。仿真和实验结果表明，建模误差导致的SOC估计精度下降是由老化和较大的测量噪声引起的，对此进行了定量表征。本文的发现为以下方面提供了有用的信息：（1）SOC估计精度如何取决于建模可靠性和电压测量精度； （2）典型SOC估计器的健壮性和可靠性； （3）电池系统识别和传感器选择要求的准则。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2015年第21期|719490.1-719490.14|共14页
  • 作者

    Li Xue; Jiang Jiuchun; Zhang Caiping; Wang Le Yi; Zheng Linfeng;

  • 作者单位

    Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr NANTEC, Beijing 100044, Peoples R China|Beijing Jiaotong Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr NANTEC, Beijing 100044, Peoples R China|Beijing Jiaotong Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr NANTEC, Beijing 100044, Peoples R China|Beijing Jiaotong Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100044, Peoples R China;

    Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA;

    Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr NANTEC, Beijing 100044, Peoples R China|Beijing Jiaotong Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100044, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号