Int. J. of Electric and Hybrid Vehicles   »   2008 Vol.1, No.4



Title: Look-forward longitudinal dynamic modelling for a series-parallel hybrid electric vehicle


Author: Mojtaba Shams Zahraei, Seyed Ali Jazayeri, Mahdi Shahbakhti, Mohammad Sharifirad


Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran.
Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran.
University of Alberta, Edmonton, Alberta, Canada.
Iran Heavy Diesel Engine Mfg. Co., Tehran, Iran


Abstract: In this research all components which affect the longitudinal dynamics of a typical series-parallel hybrid electric vehicle have been modelled in MATLAB/SIMULINK1. A look-forward model is developed by coupling an experimentally identified and verified mean value engine model together with longitudinal vehicle dynamic. This model consists of sub-models for power split planetary gear set, permanent magnet synchronous motor/generator with the local controllers, and energy storage system. An energy management strategy has been defined to control the complete model in all vehicle operation modes: pure electric, hybrid, power boost, regenerative braking and engine on/off transient mode. The energy management strategy has been implemented to optimise engine operating conditions. A fuzzy-logic auto-driver model is used to compare the performance of a simulated hybrid vehicle with that of a conventional powertrain in the ECE driving cycle. The simulation results indicate a 40% improvement in fuel economy by converting the conventional vehicle into a series-parallel hybrid vehicle.


Keywords: control strategy; dynamic modelling; hybrid electric vehicles; look-forward models; series-parallel HEVs; hybrid vehicles; longitudinal dynamics; vehicle dynamics; energy management; vehicle control; fuzzy logic; simulation; fuel economy.


DOI: 10.1504/IJEHV.2008.022261


Int. J. of Electric and Hybrid Vehicles, 2008 Vol.1, No.4, pp.342 - 363


Available online: 24 Dec 2008



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