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Modeling and control of a hybrid electric drivetrain for optimum fuel economy, performance and driveability

Wei, Xi
http://rave.ohiolink.edu/etdc/view?acc_num=osu1095960915

Abstract Details

2004, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
Automotive manufacturers have been striving for decades to produce vehicles which satisfy customers’ requirements at minimum cost. Many of their concerns are on fuel economy, road performance and driveability. A hybrid electric vehicle (HEV) is one of the most promising alternatives to a conventional engine-powered vehicle which satisfies the above requirements. Investigations indicate that how to allocate the total tractive force between the engine and the electric machine has significant influences on vehicle fuel economy, performance and driveability. Therefore, designing an optimal control strategy which considers all three criteria is of great interest. Model based control design requires control oriented models and the complexity of these models are determined by their applications. Since the control strategy is developed in two steps (finding the solution for the best fuel economy and performance first and then taking driveability into consideration), two models, i.e., the quasi-static model and the low-frequency dynamic model are built for each step in the control design. Defining objective metrics for vehicle fuel economy, performance and driveability is also very important. Evaluations in both simulations and real vehicles require objective and quantitative metrics. Vehicle fuel economy is estimated under various driving cycles. Performance criteria consist of acceleration performance, gradeability and towing capability. Driveability measures deal with pedal responsiveness, operating smoothness and driving comfort, which include interior noise level, jerk, tip-in/tip-out response, MTVV, acceleration RMS and VDV. The optimal control solution is then found hierarchically with the help of Pontryagin’s minimum principle. Fuel economy optimization contains three steps: finding the optimal solution for known constant power requests, for known time-varying power requests and for unknown time-varying power requests with short-term predictions. An innovative interpretation of the minimum principle is applied when minimizing fuel consumption for the vehicle with constant battery parameters and fixed CVT ratio under constant power requests. This so-called sliding optimal control which switches between two control values has been theoretically proven to be the optimal solution. The control strategy developed with the minimum principle is compared with a simple heuristic one and simulation results demonstrate an improvement on vehicle fuel economy.
Giorgio Rizzoni (Advisor)
192 p.
Engineering, Mechanical
system dynamics; modeling and control of automotive powertrains; hybrid electric vehicles; driveability objective metrics

Recommended Citations

Citations

  • Wei, X. (2004). Modeling and control of a hybrid electric drivetrain for optimum fuel economy, performance and driveability [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095960915

    APA Style (7th edition)

  • Wei, Xi. Modeling and control of a hybrid electric drivetrain for optimum fuel economy, performance and driveability. 2004. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1095960915.

    MLA Style (8th edition)

  • Wei, Xi. "Modeling and control of a hybrid electric drivetrain for optimum fuel economy, performance and driveability." Doctoral dissertation, Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095960915

    Chicago Manual of Style (17th edition)

osu1095960915
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© 2004, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.