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. The performance and robustness of the optimised fuzzy system was tested on two different mission power profiles showing quite acceptable results as compared to a dynamic programming based algorithm. As future perspectives, a thorough study will be made to define a quantitative relation between a certain profile and the optimised parameters obtained with the genetic algorithm in order to allow easy tuning and adaptation of the fuzzy system without having to repeat the optimisation procedure.
Genetic algorithm fuzzy logic energy management strategy for fuel cell hybrid vehicle
Genetischer Algorithmus und Fuzzy-Logik-Energiemanagement-Strategie für Hybridfahrzeuge mit Brennstoffzelle
2009
6 Seiten
Aufsatz (Konferenz)
Englisch
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