Title: Optimal energy management strategy for hybrid electric tracked vehicles

Authors: Yuan Zou; Feng-Chun Sun; Cheng-Ning Zhang; Jun-Qiu Li

Addresses: National Engineering Lab for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian, Beijing 100081, China ' National Engineering Lab for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian, Beijing 100081, China ' National Engineering Lab for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian, Beijing 100081, China ' National Engineering Lab for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian, Beijing 100081, China

Abstract: A Dynamic Programming (DP) technique is used to design an optimal power distribution energy management strategy between the diesel engine-generator and traction battery for a hybrid electric tracked vehicle. A mathematical model incorporating the vehicle's dynamics, driving schedule data from the field tests and powertrain is developed. A control strategy based on the passive power covering concept is initially designed. An optimal one is then designed through the DP approach and DP-based battery sizing is properly adopted. The performance of the new control strategy is tested through simulations. Significant fuel economy improvement is observed.

Keywords: tracked vehicles; hybrid electric vehicles; HEVs; dynamic programming; energy management; optimisation; optimal power distribution; diesel engine generators; traction batteries; mathematical modelling; vehicle dynamics; control strategy; battery sizing; simulation; fuel economy.

DOI: 10.1504/IJVD.2012.047390

International Journal of Vehicle Design, 2012 Vol.58 No.2/3/4, pp.307 - 324

Received: 22 Jan 2011
Accepted: 18 Apr 2011
Published online: 31 Dec 2014 *

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