Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus-Reference-Cited by-同舟云学术

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Hybrid genetic algorithm-based optimization of powertrain and control parameters of plug-in hybrid electric bus

Published:2015-03 Issue:3 Volume:352 Page:776-801
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Li Liang,Zhang Yahui,Yang Chao,Jiao Xiaohong,Zhang Lipeng,Song Jian

Funder

National Natural Science Foundation of China

National Science-technology Support Plan Projects of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference27 articles.

1. Power management strategy for a parallel hybrid electric truck;Lin;IEEE Trans. Control Syst. Technol.,2003

2. Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles;Montazeri;J. Frankl. Inst.,2006

3. A generalized powertrain design optimization methodology to reduce fuel economy variability in hybrid electric vehicles;Roy;IEEE Trans. Veh. Technol.,2014

4. Electromechanical coupling driving control for single-shaft parallel hybrid powertrain;Yang;Sci. China Technol. Sci.,2014

5. Parameter optimization for HEV powertrain and its control strategy;Wu;Int. J. Automot. Technol.,2008

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