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Design and optimization of a fuzzy-rule based hybrid electric vehicle controller

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3 Author(s)
Anderson, T.A. ; Dept. of Electr. & Comput. Eng., Univ. of Michigan-Dearborn, Dearborn, MI ; Barkman, J.M. ; Mi, C.

The economical and regulatory pressures place on the automotive industry to develop vehicles with increased fuel efficiency will continue to grow over the coming decade. Hybrid electric vehicles (HEVs) represent a solution which has received a large degree of interest from government, academia, and automotive manufacturers. This paper studies the potential of using a fuzzy logic controller to optimize the control and calibration of a HEV. Competitive control strategies were reviewed and a fuzzy controller was identified as a strong candidate for reducing fuel consumption. A fuzzy controller was developed and implemented in a MATLAB/Simulink-based simulation platform. The controller was calibrated to optimize the fuel efficiency and emissions of a Toyota Prius power-split hybrid. The results were analyzed and compared against reported data from the actual vehicle.

Published in:

Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE

Date of Conference:

3-5 Sept. 2008