Comparison and Evaluation of State-of-charge and Health Monitoring Methods for Lithium-sulfur Batteries

Jinkai Ma; Haodong Yan; Yitian Sun; Ruohan Zhao; Zixuan Liu; Xingjie Han; Guanjun Liu; Hao Li; Chengrun Zou; Yifei Zhang

doi:10.54097/mhpg6x76

Authors

Jinkai Ma
Haodong Yan
Yitian Sun
Ruohan Zhao
Zixuan Liu
Xingjie Han
Guanjun Liu
Hao Li
Chengrun Zou
Yifei Zhang

DOI:

https://doi.org/10.54097/mhpg6x76

Keywords:

Lithium-sulfur Battery, State-of-charge (SOC) Estimation, State-of-health Prediction

Abstract

State-of-charge (SOC) estimation and state-of-health (SOH) prediction of lithium-sulfur batteries is an extremely important technology for battery management systems (BMS), which is affected by factors such as internal chemical reactions and external temperature changes of lithium-sulfur batteries, which makes it difficult to predict the state of charge and state of health of lithium-sulfur batteries. Firstly, the retrieval status of battery SOC estimation and SOH prediction is introduced, then the main methods and advantages and disadvantages of various methods are introduced, and finally the challenges of battery SOC estimation and SOH prediction are summarized, and the development direction and innovative ideas are proposed. The results show that state-of-charge estimation and health prediction techniques are of great significance for improving the safety, reliability and lifetime of lithium-sulfur batteries.

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