Li-ion battery management system for electric vehicles - a practical guide

Jing Deng*, Kang Li, David Laverty, Wei Hua Deng, Yus Heng Xue

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Electric vehicles (EVs) are becoming more popular and have gained better customer acceptance in the past few years due to the improved performances, such as high acceleration rate and long driving distance from a single charging. Recent research also shows some promising benefits from integrating EVs with power grid. One of these is to use EV batteries as distributed energy storage. As a result, the excessive electricity generated from renewable resources can be stored in EVs and release to the power grid when needed. However, compared to traditional Nickel-cadmium and lead-acid batteries, Li-ion battery only can be operated in a narrow window, and needs to be properly monitored, managed and protected. This issue becomes severe when it is deployed for large applications, such as EVs and centralised electricity storage, where a large number of Li-Ion cells are interconnected to provide sufficient voltage and current. The solution mainly relies on a robust and efficient battery management system (BMS). This paper presents a brief review on the features of BMS, followed by a practical guide on selecting a commercial BMS from the market and designing a custom BMS for better control of functionalities. A Lithimate Pro BMS from Elithion is used to demonstrate the effectiveness of BMS in managing and protecting Li-Ion cells during the charge and discharge phases.

Original languageEnglish
Pages (from-to)32-44
Number of pages13
JournalCommunications in Computer and Information Science
Volume463
Publication statusPublished - 01 Jan 2014

Keywords

  • Battery management system
  • Battery modelling
  • Intelligent charging
  • Lithium-ion Electric vehicle

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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