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Discrete Dynamics in Nature and Society
Volume 2014, Article ID 793864, 10 pages
Research Article

Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator

1College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China
2School of Control Science and Engineering, Shandong University, Jinan 250061, China
3College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang 471023, China

Received 24 July 2014; Accepted 20 August 2014; Published 3 September 2014

Academic Editor: Zhengrong Xiang

Copyright © 2014 Zhumu Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents a torque split strategy for parallel hybrid electric vehicles with an integrated starter generator (ISG-PHEV) by using fuzzy logic control. By combining the efficiency map and the optimum torque curve of the internal combustion engine (ICE) with the state of charge (SOC) of the batteries, the torque split strategy is designed, which manages the ICE within its peak efficiency region. Taking the quantified ICE torque, the quantified SOC of the batteries, and the quantified ICE speed as inputs, and regarding the output torque demanded on the ICE as an output, a fuzzy logic controller (FLC) with relevant fuzzy rules has been developed to determine the optimal torque distribution among the ICE, the ISG, and the electric motor/generator (EMG) effectively. The simulation results reveal that, compared with the conventional torque control strategy which uses rule-based controller (RBC) in different driving cycles, the proposed FLC improves the fuel economy of the ISG-PHEV, increases the efficiency of the ICE, and maintains batteries SOC within its operation range more availably.