The aim of this paper is to design an optimal shifting strategy along with an optimal Energy Management System for a parallel Hybrid Electric Vehicle (HEV) to study its potential contribution on fuel economy. The control algorithm will optimize both the power split ratio between the internal combustion engine and the electric machine and also the gear shifting strategy. The global optimal solutions are obtained based on two approaches: Dynamic Programming (DP) and another new method of combining gradient-based optimal control and DP. Simulation results show that, by extra optimizing shifting strategy, 10.3% additional fuel saving can be reached compared to the case of optimizing only power split ratio for a mild parallel HEV. The DP algorithm results in a benchmark of global optimal solutions despite the heavy time consuming method itself. The new proposed algorithm outperforms the DP algorithm in term of computational efficiency meanwhile still attaining the global optimal results.
Optimal shifting strategy for a parallel hybrid electric vehicle
2010
8 Seiten, 12 Bilder, 1 Tabelle, 12 Quellen
(nicht paginiert)
Aufsatz (Konferenz)
Datenträger
Englisch
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