A Review of SOH Estimation Methods in Lithium-ion Batteries for Electric Vehicle Applications

Cheng Lin, Aihua Tang*, Wenwei Wang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

123 Citations (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 120
  • Captures
    • Readers: 305
see details

Abstract

Aging of lithium-ion cells is an inevitable phenomenon limiting the lifetime in electric vehicle (EV) applications. Undesirable side reactions during cycle or calendar aging may affect the performance of the batteries. This results in a decreased capacity and an increase in the cell impedance. Furthermore, the aging phenomena are highly complicated to characterize due to the coupling of different factors. In this review, various aspects of recent research and developments, on lithium-ion battery aging mechanisms, analysis and estimations are put forward. To better understand a comparison and summary of techniques, models and algorithms used for battery aging estimation (SOH,RUL), going from a detailed spectroscopy and electrochemical technique to statistical methods based on data are presented in this paper, and their respective characteristics are discussed. In addition some considerations about the ideal method that can be derived from existing methods should be discussed and reported in this paper.

Original languageEnglish
Pages (from-to)1920-1925
Number of pages6
JournalEnergy Procedia
Volume75
DOIs
Publication statusPublished - 2015
Event7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates
Duration: 28 Mar 201531 Mar 2015

Keywords

  • Lithium-ion
  • aging mechanisms
  • characteristics
  • electric vehicle (EV)
  • methods

Fingerprint

Dive into the research topics of 'A Review of SOH Estimation Methods in Lithium-ion Batteries for Electric Vehicle Applications'. Together they form a unique fingerprint.

Cite this

Lin, C., Tang, A., & Wang, W. (2015). A Review of SOH Estimation Methods in Lithium-ion Batteries for Electric Vehicle Applications. Energy Procedia, 75, 1920-1925. https://doi.org/10.1016/j.egypro.2015.07.199