Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application

Gianluca Brando, Adolfo Dannier, Ivan Spina*, Pietro Tricoli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
167 Downloads (Pure)

Abstract

This paper proposes a new mathematical model of modular multilevel converters for battery electric vehicles with space-vectors enabling a critical analysis of cell balancing for the battery management system. In particular, the requirements for power balancing and the actual number of degrees of freedom of the control are investigated. The paper shows that the traditional approach of cell balancing is a special case of the proposed control methodology. Numerical analyses with Matlab/Simulink highlight the reasons of the slow response of the standard balancing technique for specific operating conditions of the battery electric vehicle. The paper suggests potential improvements that could be introduced through the proposed generalised approach.

Original languageEnglish
Article number1628
JournalEnergies
Volume10
Issue number10
DOIs
Publication statusPublished - 17 Oct 2017

Keywords

  • Battery management system (BMS)
  • Electric vehicles (EV)
  • Lithium-ion cells
  • Modular multilevel converters (MMCs)
  • State-of-charge balancing
  • Traction drives

ASJC Scopus subject areas

  • General Computer Science
  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)

Fingerprint

Dive into the research topics of 'Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application'. Together they form a unique fingerprint.

Cite this