Title: An optimal power management strategy for power split plug-in hybrid electric vehicles

Authors: A. Taghavipour; N.L. Azad; J. McPhee

Addresses: Systems Design Engineering Department, University of Waterloo, 200 University Avenue West Waterloo, N2L 3G1, Ontario, Canada ' Systems Design Engineering Department, University of Waterloo, 200 University Avenue West Waterloo, N2L 3G1, Ontario, Canada ' Systems Design Engineering Department, University of Waterloo, 200 University Avenue West Waterloo, N2L 3G1, Ontario, Canada

Abstract: Model Predictive Control (MPC) can be an interesting concept for designing a power management strategy for Hybrid Electric Vehicles (HEVs) according to its capability of online optimisation by receiving current information from the powertrain and handling hard constraints on such problems. In this paper, a power management strategy for a power split plug-in HEV is proposed using the concept of MPC to evaluate the effectiveness of this method on minimising the fuel consumption of those vehicles. Also, the results are compared with dynamic programming.

Keywords: plug-in hybrid vehicles; power management; model predictive control; MPC; dynamic programming; fuel consumption; plug-in HEVs; hybrid electric vehicles; optimisation; vehicle design.

DOI: 10.1504/IJVD.2012.050085

International Journal of Vehicle Design, 2012 Vol.60 No.3/4, pp.286 - 304

Received: 11 Apr 2011
Accepted: 14 Oct 2011
Published online: 23 Apr 2013 *

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