Optimal control of a parallel powertrain: from global optimization to real time control strategy

This paper focuses on optimal control theory applied to parallel hybrid vehicles. For simulation purpose, a global optimization algorithm has been developed allowing one to obtain optimal consumption on a given driving cycle. In comparison with other global optimization methods, the proposed one has two main advantages: its quickness and the possibility to derive a real time control strategy. A first trial in that sense is done in this paper and compared with another real time strategy.