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Parameter Optimization of Power Control Strategy for Series Hybrid Electric Vehicle

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3 Author(s)
Bufu Huang ; Department of Automa-tion and Computer-Aided Engineering, The Chinese Univerisity of Hong Kong, shatin NT, Hong Kong ( ; Xi Shi ; Yangsheng Xu

Aimed at the more and more serious problems of energy and pollution, Hybrid Electric Vehicle (HEV) is one of the best practical applications for transportation with high fuel economy and low emission. Since the power control strategy has a critical effect on the performance of HEV, genetic algorithm is introduced to optimize the strategy parameters for fuel economy and emissions in this paper. Compared with two main strategies, Thermostatic and DIRECT, the computation procedures of genetic algorithm are discussed, and simulation study based on the model of series hybrid electric vehicle is given to illustrate the optimization validity of the genetic algorithm.

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2006 IEEE International Conference on Evolutionary Computation

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