Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

Mission-based Design Space Exploration and Traffic-in-the-Loop Simulation for a Range-Extended Plug-in Hybrid Delivery Vehicle

Anil, Vijay Sankar
http://rave.ohiolink.edu/etdc/view?acc_num=osu1587663664531601

Abstract Details

2020, Master of Science, Ohio State University, Mechanical Engineering.
With the on-going electrification and data-intelligence trends in logistics industries, enabled by the advances in powertrain electrification, and connected and autonomous vehicle technologies, the traditional ways vehicles are designed by engineering experience and sales data are to be updated with a design for operation notion that relies intensively on operational data collection and large scale simulations. In this work, this design for operation notion is revisited with a specific combination of optimization and control techniques that promises accurate results with relatively fast computational time. The specific application that is explored here is a Class 6 pick-up and delivery truck that is limited to a given driving mission. A Gaussian Process (GP) based statistical learning approach is used to refine the search for the most accurate, optimal designs. Five hybrid powertrain architectures are explored, and a set of Pareto-optimal designs are found for a specific driving mission that represents the variations in a hypothetical operational scenario. A cross-architecture performance and cost comparison is performed and the selected architecture is developed further in the form of a forward simulator with a dedicated ECMS controller. In the end, a traffic-in-the-loop simulation is performed by integrating the selected powertrain architecture with a SUMO traffic simulator to evaluate the performance of the developed controller against varying driving conditions.
Giorgio Rizzoni (Advisor)
Qadeer Ahmed (Committee Member)
258 p.
Automotive Engineering; Engineering; Mechanical Engineering; Sustainability; Systems Design; Transportation
Design Space Exploration; Hybrid Vehicles; Series Hybrid; PHEV; Range Extended Hybrid; Pickup and Delivery Truck; SUMO; Traffic Simulation; ECMS; Dynamic Programming; Gaussian Process; Architecture Selection; Logistics; Class 6 Truck; Energy Management

Recommended Citations

Citations

  • Anil, V. S. (2020). Mission-based Design Space Exploration and Traffic-in-the-Loop Simulation for a Range-Extended Plug-in Hybrid Delivery Vehicle [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587663664531601

    APA Style (7th edition)

  • Anil, Vijay Sankar. Mission-based Design Space Exploration and Traffic-in-the-Loop Simulation for a Range-Extended Plug-in Hybrid Delivery Vehicle . 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1587663664531601.

    MLA Style (8th edition)

  • Anil, Vijay Sankar. "Mission-based Design Space Exploration and Traffic-in-the-Loop Simulation for a Range-Extended Plug-in Hybrid Delivery Vehicle ." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587663664531601

    Chicago Manual of Style (17th edition)

osu1587663664531601
419
© 2020, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.