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Predictive energy management for hybrid electric vehicles - Prediction horizon and battery capacity sensitivity

Abstract Increasing information about future driving conditions in vehicles makes predictive energy management realistic. This energy management strategy uses a dynamic programming algorithm on a sliding window in order to minimize the hybrid vehicle fuel consumption. For real time implementation, it is necessary to reduce computational time so as to embed this control on an automotive calculator. This paper focuses on the influence of the prediction horizon and battery capacity on CO 2 emission in the case of a combined hybrid electric vehicle.