Map-Based Power-Split Strategy Design with Predictive Performance Optimization for Parallel Hybrid Electric Vehicles

Jixiang Fan, Jiangyan Zhang and Tielong Shen
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Jixiang Fan: Department of Engineering and Applied Science, Sophia University, Tokyo 102-8554, Japan
Jiangyan Zhang: Department of Engineering and Applied Science, Sophia University, Tokyo 102-8554, Japan
Tielong Shen: Department of Electronic Engineering, Harbin Normal University, Harbin 150025, China

Energies, 2015, vol. 8, issue 9, 1-23

Abstract: In this paper, a map-based optimal energy management strategy is proposed to improve the consumption economy of a plug-in parallel hybrid electric vehicle. In the design of the maps, which provide both the torque split between engine and motor and the gear shift, not only the current vehicle speed and power demand, but also the optimality based on the predicted trajectory of vehicle dynamics are considered. To seek the optimality, the equivalent consumption, which trades off the fuel and electricity usages, is chosen as the cost function. Moreover, in order to decrease the model errors in the process of optimization conducted in the discrete time domain, the variational integrator is employed to calculate the evolution of the vehicle dynamics. To evaluate the proposed energy management strategy, the simulation results performed on a professional GT-Suit simulator are demonstrated and the comparison to a real-time optimization method is also given to show the advantage of the proposed off-line optimization approach.

Keywords: hybrid electric vehicle; energy management; power split; variational integrator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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