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Energy Management Algorithm of Fuel Cell/Supercapacitor System for Electrical Vehicle
nassira barhoumi, Hajer Marzougui, Faouzi Bacha, Moussa Boukhnifer

Energy Management Algorithm of Fuel Cell/Supercapacitor System for Electrical Vehicle

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

The main objective of this work is to apply rule-based energy management algorithm between two sources and a load using two interleaved floating DC/DC converters dedicated to vehicular applications; the first is a two-way converter, the second is a one-way converter. These two converters are combined to interface the hybrid power which is composed of a fuel cell as the primary source for the vehicle and a storage system (supercapacitor) as a secondary source. This article provides a modelling of the two proposed DC-DC converters as well as a control strategy for each of them. However, the studied system being powered by two sources, it is essential to apply an energy management algorithm which must ensure the distribution of the energy flows between the sources and the load in order to satisfy the required power. A rule based algorithm is applied as well to generate source power references considering state-of-charge limitation to avoid overcharging and deep discharging in order to decrease the lifetime of the supercapacitor. To evaluate the performance of the studied converters, simulation results of the hybrid system with the energy management algorithm are presented.

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Document Information

Document Title Energy Management Algorithm of Fuel Cell/Supercapacitor System for Electrical Vehicle
Author / Organization nassira barhoumi, Hajer Marzougui, Faouzi Bacha, Moussa Boukhnifer
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-122009
Original Source Link Visit Source Page on hal.science »