A COMPUTATIONALLY EFFICIENT ENERGY MANAGEMENT STRATEGY FOR A PLUG-IN FUEL-CELL HYBRID ELECTRIC VEHICLE COMPOSED OF A MULTI-INPUT CONVERTER
Abstract
Fuel cell vehicle technology has drawn wide attention because of the environmental and economic issues related to excessive usage of fossil fuels. Fuel cells are known for their unidirectional environmental friendly operation; however, they have low power density and suffer from slow dynamics. Therefore, a sole fuel cell system cannot meet the requirements of an electric vehicle whose power demand is quite dynamic. In a way of hybridizing a fuel cell with energy storage devices, it can be possible to overcome aforementioned problems. A plug-in fuel cell hybrid electric vehicle system, equipped with a battery and an ultra-capacitor, is proposed in this work. In this system, a single multi-input converter is utilized to control source energies. Moreover, this work develops a computationally efficient energy management strategy which is essentially a frequency decoupling method basically taking the advantage of easily applicable low pass filters. In this strategy, a polynomial scales the fuel cell and battery power levels to regulate ultra-capacitor voltage. The whole system is tested via a simulation model after the detailed analysis of the multi-input converter.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Furkan Akar
*
0000-0002-1460-4468
Türkiye
Publication Date
June 30, 2019
Submission Date
November 15, 2018
Acceptance Date
March 8, 2019
Published in Issue
Year 2019 Volume: 5 Number: 1
Cited By
Fuzzy Logic Based Control of a Fuel Cell/Battery/Ultra-capacitor Hybrid Power System via a Multi-Phase Multi-Input Converter
Düzce Üniversitesi Bilim ve Teknoloji Dergisi
https://doi.org/10.29130/dubited.938253