This paper describes a new methodology for sizing energy sources in hybrid electric vehicles, that enables obtaining the minimal sizing required for a given driving cycle, independently of the chosen energy management strategy. The methodology is based on two combined optimization loops: one for sizing the energy sources, using a genetic algorithm, and another one for computing the optimal energy management strategy for a specific driving cycle, using dynamic programming. Results show that the algorithm can find the best sizing of sources for the best fuel consumption, with a 6.5kW fuel cell and a 75Wh battery for the ECE driving cycle and a 9.0kW fuel cell and a 72Wh battery for the LA92 cycle. Compared to results obtained through the mean sizing power method, the algorithm shows that the hydrogen consumption can be reduced by up to 70% and the size of the battery by up to 67 %. The proposed methodology can thus help optimize the sizing of hybrid vehicles used for given driving cycles.
Combined optimal sizing and energy management of hybrid electric vehicles
01.06.2012
1272868 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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