Battery modelling methods for electric vehicles-A review

Cheng Zhang, Kang Li, Sean Mcloone, Zhile Yang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

48 Citations (Scopus)

Abstract

Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and in developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.
Original languageEnglish
Title of host publication 2014 European Control Conference (ECC)
PublisherIEEE
Pages2673-2678
Number of pages6
ISBN (Print)978-3-9524269-1-3
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 European Control Conference - Strasbourg, France
Duration: 24 Jun 201427 Jun 2014

Conference

Conference2014 European Control Conference
Abbreviated titleECC
CountryFrance
CityStrasbourg
Period24/06/1427/06/14

Keywords

  • Batteries
  • Mathematical model
  • Integrated circuit modeling
  • Analytical models
  • System-on-chip
  • Temperature measurement
  • Computational modeling

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  • Cite this

    Zhang, C., Li, K., Mcloone, S., & Yang, Z. (2014). Battery modelling methods for electric vehicles-A review. In 2014 European Control Conference (ECC) (pp. 2673-2678). IEEE. https://doi.org/10.1109/ECC.2014.6862541