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Energy management strategy for a parallel hybrid electric truck

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4 Author(s)
Chan-Chiao Lin ; Dept. of Mech. Eng., Michigan Univ., Ann Arbor, MI, USA ; Jun-Mo Kang ; Grizzle, J.W. ; Huei Peng

Due to the complex nature of hybrid electric vehicles, control strategies based on engineering intuition frequently fail to achieve satisfactory overall system efficiency. This paper presents a procedure for improving the energy management strategy for a parallel hybrid electric truck on the basis of dynamic optimization over a given drive cycle. Dynamic programming techniques are utilized to determine the optimal control actions for a hybrid powertrain in order to minimize fuel consumption. By carefully analyzing the resulting optimal policy, new rules can be ascertained to improve the basic control strategy. The resulting new control strategy is shown to achieve better fuel economy through simulations on a detailed vehicle model

Published in:

American Control Conference, 2001. Proceedings of the 2001  (Volume:4 )

Date of Conference: