Fuzzy Optimal Energy Management for Fuel Cell and Supercapacitor Systems Using Neural Network Based Driving Pattern Recognition.

IEEE Transactions on Fuzzy Systems(2019)

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摘要
A novel adaptive energy management strategy is proposed for real-time power split between fuel cells (FCs) and supercapacitors (SCs) in a hybrid electric vehicle in view of the fact that driving patterns greatly affect fuel economy. The driving pattern recognition (DPR) is achieved based on the features extracted from the historical velocity window with a multilayer perceptron neural network. Afte...
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关键词
Energy management,Fuel cells,Supercapacitors,Hybrid electric vehicles,Pattern recognition,Neural networks,Real-time systems
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