Run-Time HEV Engine-Generator Power-Speed Optimization for Fuel Consumption and Emissions Reduction
Date of Award
Thesis - Open Access
Master of Science in Mechanical Engineering
Patrick N. Currier, Ph.D.
First Committee Member
Marc D. Compere, Ph.D.
Second Committee Member
Darris L. White, Ph.D.
As fuel economy and emissions standards become more stringent, Plug-in Hybrid Electric Vehicles (PHEV) using series architectures are being increasingly explored. Due to the decoupling of the Internal Combustion Engine (ICE) from the road, the primary control challenge in this architecture is the optimization of an ICE control law. A run-time Genset speed controller is presented for use during the charge-sustaining mode in a Series PHEV to find the optimal operating parameters for a conventional diesel engine coupled to an electric generator in terms of minimized fuel consumption and emissions generation. On board vehicle sensors provide real time data to the controller allowing for this method of optimization to be valid regardless of environment or operating conditions. The controller is validated through computer simulations using data from the Embry-Riddle EcoCAR 2 vehicle platform. Compared to the existing static Genset speed controller, the run-time controller resulted in a 40% reduction in fuel consumption and a 45% reduction in NOx production.
Scholarly Commons Citation
Rowe, Chester Paul II, "Run-Time HEV Engine-Generator Power-Speed Optimization for Fuel Consumption and Emissions Reduction" (2014). Doctoral Dissertations and Master's Theses. 279.