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Intelligent Control of Hybrid Vehicles Using Neural Networks and Fuzzy Logic The Ohio State University, Center for Automotive Research
- Format:
- Book
- Conference/Event
- Author/Creator:
- Baumann, Bernd, author.
- Conference Name:
- International Congress & Exposition (1998-02-23 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 1998
- Summary:
- 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
- Notes:
- Vendor supplied data
- Publisher Number:
- 981061
- Access Restriction:
- Restricted for use by site license
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