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Full text release has been delayed at the author's request until December 18, 2025

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Perturbed Optimal Control for Connected and Automated Vehicles

Gupta, Shobhit
http://orcid.org/0000-0001-5169-3263
http://rave.ohiolink.edu/etdc/view?acc_num=osu166992705806715

Abstract Details

2022, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
Global regulatory targets for reducing CO2 emissions along with the customer demand is driving the automotive sector towards energy efficient transportation. Powertrain electrification offers great potential to improve the fuel economy due to the extra control flexibility compared to vehicles with a single power source. The benefits of the electrification can be significantly reduced when auxiliaries such as the vehicle climate control system directly competes with the powertrain for battery energy, reducing the range and energy efficiency. Connected and Automated Vehicles (CAVs) can increase the energy savings by allowing to switch from instantaneous optimization to predictive optimization by leveraging information from advanced navigation systems, Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication. In this work, two energy optimization problems for CAVs are studied. First is to jointly optimize the vehicle and powertrain dynamics and the second is to optimize the vehicle climate control system. The focus of this work is to combine the Dynamic Programming (DP), Approximate Dynamic Programming (ADP) and perturbation theory based approaches to solve the energy optimization problems with variations in external inputs and parameters that affects the plant model, objective function or constraints. To this end, mathematical methods are used to develop two novel algorithms that compensates for mismatches between nominal and estimated parameters. The first approach develops a cost correction scheme to evaluate the sensitivity of the value function to parameters, with the ultimate goal of correcting the original optimization problem online with the observed parameters. Two case-studies are considered with variations in vehicle payload and auxiliary power load. Second, a novel algorithm for solving dynamic optimization problem is developed to apply closed-loop corrections to solution of the original optimization problem without the need to resolve the problem. The technique can handle perturbations of external inputs and parameters affecting system dynamics, objective and constraint functions, allowing the application to a wide variety of perturbed problems. The method is applied to the energy optimization of a vehicle climate control system, formulated as a constrained dynamic program. Finally, the developed algorithm is used to solve the vehicle climate control optimization problem as a MPC. Simulations result show 10-15% energy savings from a baseline strategy, with approximately 80% reduction in computation times against DP with minimal affect in the optimality.
Marcello Canova (Advisor)
Abhishek Gupta (Committee Member)
Stephanie Stockar (Committee Member)
140 p.
Engineering; Mechanical Engineering
Optimal Control; Perturbation Theory; Sensitivity Analysis; Model Predictive Control; Eco-Driving; Thermal Management System; Vehicle Climate Control System

Recommended Citations

Citations

  • Gupta, S. (2022). Perturbed Optimal Control for Connected and Automated Vehicles [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu166992705806715

    APA Style (7th edition)

  • Gupta, Shobhit. Perturbed Optimal Control for Connected and Automated Vehicles. 2022. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu166992705806715.

    MLA Style (8th edition)

  • Gupta, Shobhit. "Perturbed Optimal Control for Connected and Automated Vehicles." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu166992705806715

    Chicago Manual of Style (17th edition)

osu166992705806715
© 2022, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.