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Simply designed and universal sliding mode observer for the SOC estimation of lithium-ion batteries

  • Qiaoyan Chen
  • , Jiuchun Jiang
  • , Haijun Ruan
  • , Caiping Zhang
  • Beijing Jiaotong University
  • Collaborative Innovation Center of Electric Vehicles in Beijing

Research output: Contribution to journal › Article › peer-review

Abstract

A new sliding mode observer to estimate the state of charge (SOC) of lithium-ion batteries is presented. The proposed observer has been developed from a previous observer. The observer is applicable to the common battery circuit models and the design of the algorithm is simple. The observer can also be used for state estimations of both time-varying and time-invariant systems. The robustness of the observer is proved by Lyapunov stability theory. In this study, two typical circuit models are used as examples to design the observer and this study shows that the design of the observer is simple and the observer exhibits good performance. The observer is used to estimate the battery SOC under two conditions. The estimation results show that the observer is robust and the adaptive method can improve the estimation accuracy.

Original languageEnglish
Pages (from-to)697-705
Number of pages9
JournalIET Power Electronics
Volume10
Issue number6
Early online date1 May 2017
DOIs
Publication statusE-pub ahead of print - 1 May 2017
Externally publishedYes

Bibliographical note

© 2021 The Authors. IET Power Electronics published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology

Funder

The work was supported by the National Natural Science Foundation of China (no. 51477009).

Publisher Copyright:
© The Institution of Engineering and Technology.

Funding

The work was supported by the National Natural Science Foundation of China (no. 51477009).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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