Driving Intention Identification Method for Hybrid Vehicles Based on Neural Network
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    Abstract:

    An adaptive fuzzy neural network was built based on Takagi-Sugeno model. The inference rules were obtained by training the fuzzy neural network. The simulation result proved that the fuzzy inference rules based on Takagi-Sugeno model could infer driver intention excellently and hybrid vehicles’ control strategy could be optimized based on driver intention inference, thus more hybrid vehicles’ fuel consumption could be reduced.

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  • Online: July 24,2012
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