This paper discusses the use of intelligent control techniques for the control of a parallel hybrid electric vehicle powertrain. Artificial neural networks and fuzzy logic are used to implement a load leveling strategy. The resulting vehicle control unit, a supervisory controller, coordinates the powertrain components. The presented controller has the ability to adapt to different drivers and driving cycles. This allows a control strategy which includes both fuel-economy and performance modes. The strategy was implemented on the Ohio State University FutureCar.
Intelligent Control of Hybrid Vehicles Using Neural Networks and Fuzzy Logic
Sae Technical Papers
International Congress & Exposition ; 1998
1998-02-23
Conference paper
English
Intelligent control of hybrid vehicles using neural networks and fuzzy logic
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