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.
International Journal of Alternative Propulsion, 2006 Vol.1 No.1, pp.47 - 62
Published online: 29 Aug 2006 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article