Series Architecture for the Reduction of the DC-DC Converter in a Hybrid Energy Storage System for Electric Vehicles

Caio Augusto Fonseca de Freitas (), Patrick Bartholomeus, Xavier Margueron and Philippe Le Moigne
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Caio Augusto Fonseca de Freitas: Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille, Junia, ULR 2697-L2EP, F-59000 Lille, France
Patrick Bartholomeus: Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille, Junia, ULR 2697-L2EP, F-59000 Lille, France
Xavier Margueron: Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille, Junia, ULR 2697-L2EP, F-59000 Lille, France
Philippe Le Moigne: Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille, Junia, ULR 2697-L2EP, F-59000 Lille, France

Energies, 2023, vol. 16, issue 22, 1-19

Abstract: A Hybrid Energy Storage System (HESS) uses DC-DC converters to couple its energy sources. However, this device represents a “dead weight” in the system and must be reduced to a minimum in order to maximize the HESS’ performance. This work proposes a new coupling architecture to reduce the converter’s volume and mass. Not yet addressed in the literature, this architecture is based on a series coupling of the sources. In this case, a DC-DC converter is used to control the current difference between the two sources. If this difference is zero, so is the power processed by the converter. By reducing the power processed by the converter, its mass and volume can be reduced. Simulation and experimental tests were carried out to validate the architecture concept. For the latter, power supplies were used to emulate the batteries and the load, and a 2 kg, 3.3 kW evaluation board served as the DC-DC converter. The results show that, compared to a conventional solution that is usually adopted in the literature, with the series architecture, it is possible to reduce the converter sizing power by almost 3.7.

Keywords: DC-DC converter reduction; partial power processing; electric vehicle; hybrid energy storage system; dual battery storage system (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: 2023
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