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Thesis_Final_Karinne_Bernanke.pdf (24.41 MB)

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Energy Efficient Driving and Charging Decisions in a Connected and Automated Plug-In Hybrid Electric Vehicle

Bernanke, Karinne Rose
http://orcid.org/0009-0002-6073-8966
http://rave.ohiolink.edu/etdc/view?acc_num=osu1682024617940139

Abstract Details

2023, Master of Science, Ohio State University, Mechanical Engineering.
Global vehicle emission regulations along with a growing consumer demand is a driving force in shifting the automotive industry towards a cleaner future. This shift requires significant automotive advancements in energy efficiency. Powertrain electrification and connected and autonomous vehicle (CAV) technology are key innovations that can reduce energy consumption and emissions. This thesis aims to improve the energy efficiency of a vehicle under varying conditions and determine the effect of charging on energy consumption. The vehicle model is established and utilized in the formulation of an optimal control problem in order to minimize energy consumption. The developed method to solve the optimization problem is applied in a large-scale study, culminating in an analysis of the effects of varying charging behavior on the energy consumption of the vehicle. The vehicle model is developed and validated over 25 real-world cycles resulting in an average fuel consumption, battery energy consumption, and total energy consumption errors of 2.2%, 2.9%, and 2.8%, respectively. The velocity dynamics and powertrain of the modeled vehicle are co-optimized to improve a weighted cost between energy consumption and travel time. The optimization results in an average decrease of 10% in fuel consumption, 8% in battery energy consumption, and 19% in total energy consumption. Lastly, the large-scale study reveals a correlation between charging behavior and both the effect of charging event placement and the presence of look-ahead information on energy efficiency. The resulting trends in charging behavior give context for energy efficient trip planning.
Stephanie Stockar (Advisor)
Marcello Canova (Committee Chair)
178 p.
Mechanical Engineering
PHEV; charging behavior; optimization; powertrain controls; velocity dynamics; NEXTCAR

Recommended Citations

Citations

  • Bernanke, K. R. (2023). Energy Efficient Driving and Charging Decisions in a Connected and Automated Plug-In Hybrid Electric Vehicle [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1682024617940139

    APA Style (7th edition)

  • Bernanke, Karinne. Energy Efficient Driving and Charging Decisions in a Connected and Automated Plug-In Hybrid Electric Vehicle. 2023. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1682024617940139.

    MLA Style (8th edition)

  • Bernanke, Karinne. "Energy Efficient Driving and Charging Decisions in a Connected and Automated Plug-In Hybrid Electric Vehicle." Master's thesis, Ohio State University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=osu1682024617940139

    Chicago Manual of Style (17th edition)

osu1682024617940139
113
© 2023, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.