Performances, in terms of fuel consumption, of hybrid vehicles are strongly related to their control strategy. A first class of studies about this problem deals with instantaneous optimization algorithms/Paganelli 1999/Seiler & Schroder 1998/ /Yamaguchi & al. 1996/ designed for real time application. The second class is based on global optimization algorithms /Delprat & al. 1999/ and /Rimaux & al. 1999/. They outperform instantaneous optimization results, but require a lot of computing time and it seems hard to derive a real time strategy from them. This paper is focused on the control strategy issue applied to the described example of hybrid parallel single shaft architecture. A global optimization algorithm based on optimal control theory is presented. The results obtained with the optimal theory outperform the ones obtained by local and/or global strategies. A very interesting point is that this method can be easily used for real time application.
Control strategy optimization for an hybrid parallel powertrain
American Control Conference, 2001 ; 1315-1320
2001
6 Seiten, 7 Quellen
Conference paper
English
Real-Time Powertrain Control Strategy for Series-Parallel Hybrid Electric Vehicles
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