Transmission Shift Map Optimization for Reduced Electrical Energy Consumption in a Pre-Transmission Parallel Plug-In Hybrid Electric Vehicle

Author

Jonathan Dean Moore

Issuing Body

Mississippi State University

Advisor

Molen, G. Marshall

Committee Member

Mazzola, Michael

Committee Member

Younan, Nicolas H.

Date of Degree

12-14-2013

Document Type

Graduate Thesis - Open Access

Major

Electrical and Computer Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

The use of an automatic transmission in pre-transmission parallel hybrid electric vehicles provides greater potential for powertrain optimization than conventional vehicles. By modifying the shift map, the transmission’s gear selection can be adjusted to reduce the energy consumption of the vehicle. A method for determining the optimal shift map for this hybrid vehicle has been implemented using global optimization and software-in-the-loop vehicle simulation. An analysis of the optimization has been performed using software-in-the-loop and hardware-in-the-loop simulation and evaluates two vehicle modes: regenerative braking active and regenerative braking disabled. The results of these two modes illustrate the successful implementation of the global optimization algorithm. However, the evaluation results raise practical concerns about implementing the optimized shift maps in a vehicle and illustrate a problem which must be overcome for future development.

URI

https://hdl.handle.net/11668/20319

Recommended Citation

Moore, Jonathan Dean, "Transmission Shift Map Optimization for Reduced Electrical Energy Consumption in a Pre-Transmission Parallel Plug-In Hybrid Electric Vehicle" (2013). Theses and Dissertations. 4780.
https://scholarsjunction.msstate.edu/td/4780