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Study on Global Optimization of Plug-In Hybrid Electric Vehicle Energy Management Strategies

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6 Author(s)
Chenghong Yang ; State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China ; Jun Li ; Wei Sun ; Bo Zhang
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By using dynamic programming (DP) which is kind of global optimization algorithm, an energy management control strategy for a parallel plug-in hybrid electric vehicle (PHEV) on different charging depleting range (CDR) has been studied. The results show that Motor-Dominant control strategy should be applied to the PHEV when CDR is less than 55 km, and Engine-Dominant control strategy should be used when CDR is more than 55 km. With optimal control strategies from DP, the best economic performance can be obtained as CDR is 55 km; PHEV average equivalence fuel consumption could be reduced to 2.7 L/100 km which is 58% lower than that of prototype vehicle.

Published in:

Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific

Date of Conference:

28-31 March 2010