Title: Design of energy management strategy in fuel cell/battery/ultracapacitor hybrid vehicles based on a combined forward-backward algorithm and fuzzy control

Authors: Seyyed Reza Movahhed-Ghodsinya; Ehsan Azimirad

Addresses: Electrical Engineering Department, University of Torbat Heydarieh, Torbat Heydarieh, Iran ' Electrical Engineering Department, University of Torbat Heydarieh, Torbat Heydarieh, Iran

Abstract: One of the solutions for development of the clean-transportation is electric-vehicles, capable of making positive changes in the fields of energy and environment. The most significant influence is on enhancing the energy efficiency and distance traversed by the EV through electrical energy storage systems. However various types of energy storage for EV have been presented, but batteries are always the main source of energy in EVs, along with which auxiliary sources such as ultracapacitors can be used. In this research, to save more fuel consumption and increase the distance traversed constantly, a fuzzy optimised controller has been simulated to design an energy management strategy in a hybrid-vehicle equipped with a fuel cell, battery and ultracapacitor which uses a combined forward-backward algorithm. The results show the proposed control strategy provides all the required vehicle power for standard driving and reaches the power distribution desirable among a variety of power sources.

Keywords: battery; ultracapacitor; fuel cell; hybrid sources; electric vehicle; energy management.

DOI: 10.1504/IJEHV.2023.132052

International Journal of Electric and Hybrid Vehicles, 2023 Vol.15 No.2, pp.183 - 199

Received: 05 Sep 2022
Accepted: 15 Jan 2023
Published online: 07 Jul 2023 *

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