Energy Management Strategy of Fuel Cell/Battery Hybrid Vehicle Based on Series Fuzzy Control
Author:
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12239-021-0133-0.pdf
Reference34 articles.
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3. Darwich, I., Lachhab, I. and Krichen, L. (2019). Implementation of an on-line multi-objective particle swarm optimization controllers gains self-adjusted of FC/UC system devoted for electrical vehicle. Int. J. Hydrogen Energy 44, 52, 28262–28272.
4. Dayeni, M. K., Macias, A., Dépature, C., Boulon, L., Kelouwani, S. and Chaoui, H. (2017). Real-time fuzzy logic strategy scheme for energetic macroscopic representation of a fuel cell/battery vehicle. IEEE Vehicle Power and Propulsion Conf. (VPPC). Belfort, France.
5. Ezzat, M. and Dincer, I. (2020). Exergoeconomic analysis and optimization of a new hybrid fuel cell vehicle. Int. J. Hydrogen Energy 45, 9, 5734–5744.
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