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Operation and Control Strategies for Hybrid Electric Automobiles
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 02, 2000 by SAE International in United States
Annotation ability available
Event: Future Car Congress
Currently Hybrid Electric Vehicles (HEV) are being considered as an alternative to conventional automobiles in order to improve efficiency and reduce emissions. A major concern of these vehicles is how to effectively operate the electric machine and the ICE. Towards this end two operation strategies, an best efficiency and a least fuel use strategy, are presented in this paper. To demonstrate the potential of an advanced operation strategy for HEV's, a fuzzy logic controller has been developed and implemented in simulation in the National Renewable Energy Laboratory's simulator Advisor (version 2.0.2). Results have also been gathered from chassis dynamometer tests in order to verify the effectiveness of Advisor. The Fuzzy Logic Controller (FLC) utilizes the electric motor in a parallel hybrid electric vehicle (HEV) to force the ICE (66KW Volkswagen TDI) to operate at or near its peak point of efficiency or at or near its best fuel economy. Initial results from dynamometer testing and Advisor show that the vehicle with the Fuzzy Logic Controller can achieve (50) mpg in the city, while maintaining a state of charge of .68 for the battery pack, compared to (43) mpg for a conventional vehicle.
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CitationGlenn, B., Washington, G., and Rizzoni, G., "Operation and Control Strategies for Hybrid Electric Automobiles," SAE Technical Paper 2000-01-1537, 2000, https://doi.org/10.4271/2000-01-1537.
- Riley R.Q. Alternative Cars of the 21 st Century - A New Personal Transportation Paradigm SAE Warrendale, PA 1994
- Passino K. Yurkovich S. Fuzzy Control Menlo Park, CA Addison Wesly Longman 1998
- Baumann B. M. Intelligent Control Strategies for Hybrid Vehicles using Neural Networks and Fuzzy Logic The Ohio State University Columbus, OH 1997
- Mendel J. M. “Fuzzy Logic Systems for Engineering” Proc. of the IEEE 83 3 345 377 March 1995
- Li Y. F. Lau C. C. “Development of Fuzzy Algorithms for Servo Systems” IEEE Control Systems Magazine 65 71 April 1989
- Cuddy, M.R. Wipke, K. B. Analysis of the Fuel Economy Benefit of Drivetrain Hybridization SAE Technical Paper Series, 970289 1997
- Senger R.D. “Validation of ADVISOR as a Simulator Tool for a series Hybrid Electric Vehicle using the Virginia Tech FutureCar Lumina” Virginia Tech University 1997
- Wasacz, B. Janes, N. Guezennec, Y. Rizzoni, G. The 1996 Ohio State University FutureCar SAE Technical Paper Series SP-1234 1997 39 52
- Schluter, F. Waltermann, P. Hierarchical Control Structures for Hybrid Vehicles - Modeling, Simulation, and Optimization Advances in Automotive Control 1995 March First International Federation of Automatic Control Workshop
- Hochgraf C.G. Ryan M.J. Wiegman H.L. “Engine Control Strategy for a Series Hybrid Electric Vehicle Incorporating Load Leveling and Computer Controlled Energy Management” SAE Journal SAE/SP-96/1156 11 24
- Guzzella L. Amstutz A. Grob F. “Optimal Operation Strategies For Hybrid Powertrains” Advances in Automotive Control, First International Federation of Automatic Control Workshop March 1995
- Ross, M. Wei, W. Fuel Economy Analysis for a Hybrid Concept Car Based on Buffered Fuel-Engine Operating at an Optimum Point SAE Technical Paper, 950958 1995
- Burch S. Cuddy M. Johnson V. Markel T. Rausen D. Sprik S. Wipke K. NREL Advisor 2.1 Documentation March 19 1999