Christopher Bacher

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Hybrid Electric Vehicles (HEVs) have risen in popularity in the last years. Therefore their fuel efficiency becomes increasingly important to manufacturers to satisfy consumer expectations and legal restrictions. The efficiency of a HEV depends strongly on the used operation strategy. As operation strategies are typically complex their optimal parameters(More)
The fuel consumption of a simulation model of a real Hybrid Electric Vehicle is optimized on a standardized driving cycle using meta-heuristics (PSO, ES, GA). Search space discretization and metamodels are considered for reducing the number of required, time-expensive simulations. Two hybrid metaheuristics for combining the discussed methods are presented.(More)
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