This research study focuses on determining optimal points of operation for the engine-generator system and regenerative braking at the wheels in a plug-in series hybrid electric Chevrolet Camaro. The goal is to improve overall fuel economy of the vehicle as well as reducing overall tail-pipe emissions. An abstract mathematical model of the series hybrid electric Chevrolet Camaro is being used to simulate the overall energy consumption of the vehicle. Previously tested and published control algorithms and strategies are studied, discussed and a viable scheme is chosen for optimization. The results from the optimal strategy considered are compared against the unoptimized results. An improvement of ∼ 8.9% in fuel economy and ∼ 8.2% reduction in tail-pipe emissions is estimated.
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ASME 2017 Internal Combustion Engine Division Fall Technical Conference
October 15–18, 2017
Seattle, Washington, USA
Conference Sponsors:
- Internal Combustion Engine Division
ISBN:
978-0-7918-5832-5
PROCEEDINGS PAPER
Development of Optimal Control Strategy for a Plug-In Series Hybrid Electric Vehicle With an On-Board Engine-Generator System for Overall Fuel Economy Improvement and Reduction in Tail-Pipe Emissions
Aman V. Kalia,
Aman V. Kalia
University of Washington, Seattle, WA
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Brian C. Fabien
Brian C. Fabien
University of Washington, Seattle, WA
Search for other works by this author on:
Aman V. Kalia
University of Washington, Seattle, WA
Brian C. Fabien
University of Washington, Seattle, WA
Paper No:
ICEF2017-3526, V002T05A002; 10 pages
Published Online:
November 30, 2017
Citation
Kalia, AV, & Fabien, BC. "Development of Optimal Control Strategy for a Plug-In Series Hybrid Electric Vehicle With an On-Board Engine-Generator System for Overall Fuel Economy Improvement and Reduction in Tail-Pipe Emissions." Proceedings of the ASME 2017 Internal Combustion Engine Division Fall Technical Conference. Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development. Seattle, Washington, USA. October 15–18, 2017. V002T05A002. ASME. https://doi.org/10.1115/ICEF2017-3526
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