Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application
1
Department of Electrical Eng. and IT, DIETI, University of Naples, Federico II, 80138 Napoli NA, Italy
2
Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK
*
Author to whom correspondence should be addressed.
Energies 2017, 10(10), 1628; https://doi.org/10.3390/en10101628
Received: 27 September 2017
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Revised: 11 October 2017
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Accepted: 12 October 2017
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Published: 17 October 2017
(This article belongs to the Special Issue Emerging Power Electronics Technologies for Power Systems and Machine Drives)
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.
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Keywords:
electric vehicles (EV); modular multilevel converters (MMCs); state-of-charge balancing; traction drives; battery management system (BMS); lithium-ion cells
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MDPI and ACS Style
Brando, G.; Dannier, A.; Spina, I.; Tricoli, P. Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application. Energies 2017, 10, 1628. https://doi.org/10.3390/en10101628
AMA Style
Brando G, Dannier A, Spina I, Tricoli P. Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application. Energies. 2017; 10(10):1628. https://doi.org/10.3390/en10101628
Chicago/Turabian StyleBrando, Gianluca, Adolfo Dannier, Ivan Spina, and Pietro Tricoli. 2017. "Integrated BMS-MMC Balancing Technique Highlighted by a Novel Space-Vector Based Approach for BEVs Application" Energies 10, no. 10: 1628. https://doi.org/10.3390/en10101628
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