Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

• Main Authors: Duong Tran, Sajib Chakraborty, Yuanfeng Lan, Joeri Van Mierlo, Omar Hegazy
• Format: Article
• Language: English
• Published: MDPI AG 2018-08-01
• Series: Applied Sciences
• Subjects: interleaved multiport converte; multi-objective genetic algorithm; hybrid electric vehicles; losses model; wide bandgap (WBG) technologies; Energy Storage systems
• Online Access: http://www.mdpi.com/2076-3417/8/8/1351

DC/DC Multiport Converters (MPC) are gaining interest in the hybrid electric drivetrains (i.e., vehicles or machines), where multiple sources are combined to enhance their capabilities and performances in terms of efficiency, integrated design and reliability. This hybridization will lead to more complexity and high development/design time. Therefore, a proper design approach is needed to optimize the design of the MPC as well as its performance and to reduce development time. In this research article, a new design methodology based on a Multi-Objective Genetic Algorithm (MOGA) for non-isolated interleaved MPCs is developed to minimize the weight, losses and input current ripples that have a significant impact on the lifetime of the energy sources. The inductor parameters obtained from the optimization framework is verified by the Finite Element Method (FEM) COMSOL software, which shows that inductor weight of optimized design is lower than that of the conventional design. The comparison of input current ripples and losses distribution between optimized and conventional designs are also analyzed in detailed, which validates the perspective of the proposed optimization method, taking into account emerging technologies such as wide bandgap semiconductors (SiC, GaN).