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Pseudospectral Collocation Method Based Energy Management Scheme for a Parallel P2 Hybrid Electric Vehicle

Multani, Sahib Singh
http://orcid.org/0000-0003-4485-4780
http://rave.ohiolink.edu/etdc/view?acc_num=osu1587653689067271

Abstract Details

2020, Master of Science, Ohio State University, Mechanical Engineering.
The increasing complexity of the Powertrain model with the emerging trends in the hybrid and connected vehicles industry demands new approaches. As an Optimal Control Problem for the Energy Management of these class of vehicles becomes more complicated and larger in size due to addition of several mixed integer (continuous and discrete) states and controls variables in a dynamical system, the currently used offline global optimization techniques such as Dynamic Programming may not find a practical application due to a significantly high computational effort or in some cases, even failing to provide any solution at all. Thus, it becomes important to investigate a substitute optimization-based algorithm that can offer a good scalability in terms of numerical efficiency and computational effort as the Optimization Control Problem (OCP) becomes larger in size. In this thesis, we attempt to explore and solve different sizes of Optimal Energy Management Problems concerned with a Parallel P2 Hybrid Electric Vehicle using DP as well as a new algorithm called Pseudospectral Collocation method or PSC (using CasADi). Due to PSC’s promising performance and a possible interface with MATLAB/Simulink as shown in the last chapter, this thesis essentially aims to stimulate researchers’ interest even further to explore and solve much complicated and larger Hybrid/Electric Vehicle EMS problems using the proposed methodology.
Qadeer Ahmed, Dr. (Advisor)
Giorgio Rizzoni, Dr. (Committee Member)
138 p.
Automotive Engineering; Mechanical Engineering
Dynamics; Optimal Control; Energy Management; Hybrid Electric Vehicles; Optimization; Numerical Methods; Pseudospectral Collocation Method; Dynamic Programming; Powertrain Control

Recommended Citations

Citations

  • Multani, S. S. (2020). Pseudospectral Collocation Method Based Energy Management Scheme for a Parallel P2 Hybrid Electric Vehicle [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587653689067271

    APA Style (7th edition)

  • Multani, Sahib Singh. Pseudospectral Collocation Method Based Energy Management Scheme for a Parallel P2 Hybrid Electric Vehicle . 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1587653689067271.

    MLA Style (8th edition)

  • Multani, Sahib Singh. "Pseudospectral Collocation Method Based Energy Management Scheme for a Parallel P2 Hybrid Electric Vehicle ." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587653689067271

    Chicago Manual of Style (17th edition)

osu1587653689067271
559
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This open access ETD is published by The Ohio State University and OhioLINK.