Transactions on Machine Intelligence

Transactions on Machine Intelligence

A Novel Multifunctional Multi-Port Integrated Converter for Fuel-Cell Hybrid Electric Vehicles

Document Type : Original Article

Authors
1 Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
2 Professor, Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
Abstract
The effective design of the powertrain for Fuel Cell Hybrid Electric Vehicles (FCHEVs) holds paramount importance in achieving high efficiency. Traditional FCHEV powertrains typically employ separate converters, a configuration that adversely impacts overall system efficiency. This paper presents a novel approach by proposing a multifunctional multi-port integrated converter designed for fuel cell-based hybrid electric vehicles. Specifically, the converter is tailored for FCHEVs incorporating an ultra-capacitor and a battery alongside the fuel cell stack to enhance system efficiency and dynamic response during startup. The versatility of the proposed converter is evident in its ability to operate in three distinct modes: battery charging, propulsion, and regenerative braking. Notably, the regenerative braking mode facilitates the return of energy to the battery, optimizing its state of charge (SOC). A standout feature of this converter is its capacity to charge the battery with a pure sinusoidal input current and controllable active and reactive power. This capability arises from its unique topology and the detailed control strategy elucidated in this paper. To complement the converter's performance, an energy management strategy is introduced, contributing to its efficient operation. The topology, coupled with the control strategy, is rigorously simulated using MATLAB/SIMULINK, with results affirming the thoroughness of the system analysis.
Keywords

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Volume 3, Issue 3
Summer 2020
Pages 176-190

  • Receive Date 03 May 2020
  • Revise Date 11 June 2020
  • Accept Date 21 September 2020