Towards a smarter battery management system: A critical review on battery state of health monitoring methods

Rui Xiong*, Linlin Li, Jinpeng Tian

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

715 Citations (Scopus)

Abstract

To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the health state of the battery properly is of significant importance. This study aims to serve as a useful support for researchers and practitioners by systematically reviewing the available literature on state of health estimation methods. These methods can be divided into two types: experimental and model-based estimation methods. Experimental methods are conducted in a laboratory environment to analyze battery aging process and provide theoretical support for model-based methods. Based on a battery model, model-based estimation methods identify the parameters, which have certain relationships with battery aging level, to realize state of health estimation. On the basis of reading extensive literature, methods for determining the health state of the battery are explained in a deeper way, while their corresponding strengths and weaknesses of these methods are analyzed in this paper. At the end of the paper, conclusions for these methods and prospects for the development trend of health state estimation are made.

Original languageEnglish
Pages (from-to)18-29
Number of pages12
JournalJournal of Power Sources
Volume405
DOIs
Publication statusPublished - 30 Nov 2018

Keywords

  • Capacity
  • Degradation
  • Electric vehicles
  • Impedance
  • Lithium-ion battery
  • State of health

Fingerprint

Dive into the research topics of 'Towards a smarter battery management system: A critical review on battery state of health monitoring methods'. Together they form a unique fingerprint.

Cite this

Xiong, R., Li, L., & Tian, J. (2018). Towards a smarter battery management system: A critical review on battery state of health monitoring methods. Journal of Power Sources, 405, 18-29. https://doi.org/10.1016/j.jpowsour.2018.10.019