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Engine Selection, Modeling, and Control Development for an Extended Range Electric Vehicle

Cooley, Robert Bradley

Abstract Details

2010, Master of Science, Ohio State University, Mechanical Engineering.

Increased pressure for fuel economy improvement in combination with rapid development of battery technology has brought focus to new vehicle architectures like: hybrid electric vehicles (HEV), plug-in hybrid vehicles (PHEV), and extended range electric vehicles (EREV). These architectures require different engine characteristics which must be considered during the component selection phase of a vehicle development program. Throughout the development program a variety of different engine simulation techniques can be used to increase the efficiency of the program. Current literature has shown that a wide variety of engine simulation models have been developed and applied to many different engine research problems. These models vary greatly in their fidelity and computational efficiency. The methods which are used to build and calibrate the different models require varying amounts of empirical data and model calibration effort. With a large number of model based resources available, a key question is how to select and implement models which are best targeted for a project’s goals.

When developing a new engine control strategy, some of the driving issues are cost and resource minimization and quality improvement. This thesis outlines how a model based approach was used to choose an engine and develop an engine control strategy for an EREV. The outlined approach allowed the development team to minimize the required number of experiments and to complete much of the control development and calibration before implementing the control strategy in the vehicle. It will be shown how models of different fidelity, from map-based models, to mean value models, to 1-D gas dynamics models were generated and used to develop the engine control system. The application of real time capable models for Hardware-in-the-Loop testing and the development of an electronic throttle control strategy will also be shown. The application of this work is the EcoCAR advanced vehicle competition. The Ohio State EcoCAR team converted a high compression ratio compressed natural gas (CNG) engine to operate as a dedicated E85 auxiliary power unit in an EREV. This conversion required the complete development and calibration of a new engine control system. With the aim of reducing cost, minimizing required resources, and maximizing the quality of the control system, the team utilized model-based development tools from The MathWorks and other sponsors to create a family of models for software-in-the-loop (SIL) testing, hardware-in-the-loop (HIL) testing, and control algorithm development.

Giorgio Rizzoni, Professor (Advisor)
Yann Guezennec, Professor (Committee Member)
Shawn Midlam-Mohler, PhD (Committee Member)
173 p.

Recommended Citations

Citations

  • Cooley, R. B. (2010). Engine Selection, Modeling, and Control Development for an Extended Range Electric Vehicle [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281546071

    APA Style (7th edition)

  • Cooley, Robert. Engine Selection, Modeling, and Control Development for an Extended Range Electric Vehicle. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1281546071.

    MLA Style (8th edition)

  • Cooley, Robert. "Engine Selection, Modeling, and Control Development for an Extended Range Electric Vehicle." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281546071

    Chicago Manual of Style (17th edition)