Fractional order battery modelling methodologies for electric vehicle applications: Recent advances and perspectives

Jin Peng Tian, Rui Xiong*, Wei Xiang Shen, Feng Chun Sun

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

31 Citations (Scopus)

Abstract

Accurate modelling of lithium ion batteries is crucial for battery management in electric vehicles. Recent studies have revealed the fractional order nature of lithium ion batteries, leading to fractional order modelling techniques. In this paper, a comprehensive review of the fractional order battery models and their applications in battery management of electric vehicles is provided from the perspectives of frequency and time domains. In the frequency domain, the fractional order models to fit electrochemical impedance spectroscopy data are investigated, followed by their applications in health diagnosis, battery heating and charging strategies In the time domain, the fractional order models adopted for voltage simulation are discussed, followed by their applications in battery state estimation and fault diagnosis. Finally, from the perspectives of time domain and frequency domain applications, critical challenges and research trends for future work in terms of fractional order modelling are highlighted to advance the development of next-generation battery management.

Original languageEnglish
Pages (from-to)2211-2230
Number of pages20
JournalScience China Technological Sciences
Volume63
Issue number11
DOIs
Publication statusPublished - Nov 2020

Keywords

  • battery management
  • electric vehicle
  • electrochemical impedance spectroscopy
  • fractional calculus
  • fractional order model
  • lithium ion battery

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