基于模糊神经网络的混合动力汽车驱动系统工作状态控制方法

2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2016-03-11 DOI:10.1109/ICMTMA.2016.11

Chen Dehai, Wang Yidong

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引用次数: 0

摘要

分析了分体式混合动力汽车的理想工作模式，研究了一种基于模糊神经网络的工作状态控制方法。采用模糊神经网络控制方法能够自适应控制驱动系统的工作状态，节约能源，提高发动机功率。利用MATLAB/SIMULINK建立了模糊神经控制模型。仿真结果表明，该方法具有较好的效果。

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A Control Method for Work State of Hybrid Vehicle Driving System Based on Fuzzy Neural Network

Has analysised ideal working mode of split hybrid electric vehicle, a new control method for work state based on fuzzy neural network is studyed. Using fuzzy neural network control method is able to control the work state of driving system adaptively, save energy and improve engine power. The fuzzy neural control model is built by MATLAB/SIMULINK. Simulation results show that this method has a better effect.

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来源期刊

2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

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