Title: Optimisation design of an energy management strategy for hybrid vehicles

Authors: Yuan Zhu, Yaobin Chen, Zhihong Wu, Aihua Wang

Addresses: Chinese-German School for Postgraduate Studies, Tongji University, Shanghai 200092, PR China. ' Department of Electrical and Computer Engineering, Purdue University at Indianapolis, Indianapolis, IN 46202, USA. ' Chinese-German School for Postgraduate Studies, Tongji University, Shanghai 200092, PR China. ' Department of Electronic Engineering, Nanjing Institute of Industry Technology, Nanjing 210016, PR China

Abstract: This paper presents an innovative method to analyse and design an optimal energy management strategy for a power-split power train hybrid vehicle. A hybrid dynamical system theory is introduced to formulate the problem of hybrid vehicle control system design that incorporates both continuous and discrete dynamics. The sequential quadratic programming method is proposed to optimise power distribution. The dynamic programming method is employed to determine the vehicle operating mode transitions with optimal fuel efficiency and satisfactory drivability. An expert rule-based system and a fuzzy system are developed to implement the optimal strategies using the statistical method based on numerical solutions. The simulation results illustrate the effectiveness and applicability of the proposed design method.

Keywords: hybrid electric vehicles; HEV design; power-split HEV; energy management strategy; hybrid dynamical systems; dynamic programming; fuzzy systems; expert systems; alternative propulsion; simulation.

DOI: 10.1504/IJAP.2006.010757

International Journal of Alternative Propulsion, 2006 Vol.1 No.1, pp.47 - 62

Available online: 29 Aug 2006 *

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