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

Gianluca Brando, Adolfo Dannier, Ivan Spina and Pietro Tricoli
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Gianluca Brando: Department of Electrical Eng. and IT, DIETI, University of Naples, Federico II, 80138 Napoli NA, Italy
Adolfo Dannier: Department of Electrical Eng. and IT, DIETI, University of Naples, Federico II, 80138 Napoli NA, Italy
Ivan Spina: Department of Electrical Eng. and IT, DIETI, University of Naples, Federico II, 80138 Napoli NA, Italy
Pietro Tricoli: Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK

Energies, 2017, vol. 10, issue 10, 1-14

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.

Keywords: electric vehicles (EV); modular multilevel converters (MMCs); state-of-charge balancing; traction drives; battery management system (BMS); lithium-ion cells (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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