Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review

Md Ohirul Qays; Yonis Buswig; Md Liton Hossain; Ahmed Abu-Siada

doi:10.17775/CSEEJPES.2019.03060

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Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review

Regular Papers | 更新时间：2026-10-15

- Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review
- CSEE Journal of Power and Energy Systems Vol. 8, Issue 1, Pages: 105-114(2022)
- 作者机构：
  
  1. Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan,Malaysia
  2. Department of Electrical and Computer Engineering, Curtin University,WA,Perth,Australia
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.03060
  CLC：
- Published：01 January 2022
- 稿件说明：
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Md Ohirul Qays, Yonis Buswig, Md Liton Hossain, et al. Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review[J]. CSEE Journal of Power and Energy Systems, 2022, 8(1): 105-114.
DOI：

Md Ohirul Qays, Yonis Buswig, Md Liton Hossain, et al. Recent progress and future trends on the state of charge estimation methods to improve battery-storage efficiency: A review[J]. CSEE Journal of Power and Energy Systems, 2022, 8(1): 105-114. DOI： 10.17775/CSEEJPES.2019.03060.

摘要

Abstract

Battery storage systems are subject to frequent charging/discharging cycles

which reduce the operational life of the battery and reduce system reliability in the long run. As such

several Battery Management Systems (BMS) have been developed to maintain system reliability and extend the battery's operative life. Accurate estimation of the battery's State of Charge (SOC) is a key challenge in the BMS due to its non-linear characteristics. This paper presents a comprehensive review on the most recent classifications and mathematical models for SOC estimation. Future trends for SOC estimation methods are also presented.

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