Genetic Algorithm Fuzzy Logic Energy Management Strategy for Fuel Cell Hybrid Vehicle - Université Toulouse III - Paul Sabatier - Toulouse INP
Article Dans Une Revue IFAC Proceedings Volumes Année : 2009

Genetic Algorithm Fuzzy Logic Energy Management Strategy for Fuel Cell Hybrid Vehicle

Résumé

The use of fuel cell hybrid vehicles is a potential transport solution achieving zero emission once technical, economic, and social challenges are overcome. Energy management strategies on board remain an important research subject in a quest to find an efficient power splitting between the fuel cell system and the energy storage element of the hybrid powertrain. This paper proposes an online strategy based on a fuzzy decision system. Fine tuning of the fuzzy system parameters, mainly the membership functions, is made possible using a powerful optimisation tool which is a genetic algorithm. This optimisation procedure takes into consideration the minimisation of the hydrogen consumption while satisfying the requested power over a given driving cycle.
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Dates et versions

hal-03541370 , version 1 (24-01-2022)

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Walid Hankache, Stéphane Caux, Daniel Hissel, Maurice Fadel. Genetic Algorithm Fuzzy Logic Energy Management Strategy for Fuel Cell Hybrid Vehicle. IFAC Proceedings Volumes, 2009, 42 (9), pp.137-142. ⟨10.3182/20090705-4-SF-2005.00026⟩. ⟨hal-03541370⟩
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