Comparison of Two Real-Time Predictive Strategies for the Optimal Energy Management of a Hybrid Electric Vehicle

R. Beck (1) , A. Bollig (1) , D. Abel (1)

1 RWTH - Rheinisch-Westfälische Technische Hochschule Aachen University

The presence of at least two alternative power sources in a HEV poses the problem of determining the optimal power split among them for a given driver's request in order to achieve a minimum fuel consumption. This article will introduce two strategies capable of solving this optimisation problem both relying on predictive information about the driving conditions within a limited future time horizon. The important aspects of optimality of the determined power split and the real-time applicability of the algorithms are addressed.

Domaines: Physique [physics]

R. Beck, A. Bollig, D. Abel. Comparison of Two Real-Time Predictive Strategies for the Optimal Energy Management of a Hybrid Electric Vehicle. Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles, 2007, 62 (4), pp.635-643. ⟨10.2516/ogst:2007038⟩. ⟨hal-02005713⟩