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Full-Text Articles in Engineering

Reducing Road Wear While Ensuring Comfort And Charging Constraints For Dynamically Charged Passenger Vehicles Through Noise Shaped Control Inputs, Clint Jay Ferrin May 2019

Reducing Road Wear While Ensuring Comfort And Charging Constraints For Dynamically Charged Passenger Vehicles Through Noise Shaped Control Inputs, Clint Jay Ferrin

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Dynamically charged vehicles suffer from power-loss during wireless power transfer due to vehicle coil misalignment while driving. Autonomous dynamically charged vehicles can maximize wireless power transfer by following an optimal charging path, but the repeated precision increases road wear. To avoid unnecessary road wear and rutting, a path planner can intentionally inject variability into an autonomous vehicle’s path. However, introducing variability into an optimal charging path risks depleting battery life prior to destination arrival, and it increases rider discomfort. Therefore, a path planner is proposed that guarantees average charging criteria and ensures rider comfort while reducing road wear.


Resilient Stochastic Control Strategies In Cyber-Physical Microgrids, Mohammad Reza Khalghani Jan 2019

Resilient Stochastic Control Strategies In Cyber-Physical Microgrids, Mohammad Reza Khalghani

Graduate Theses, Dissertations, and Problem Reports

Microgrids are the integration of a large number of distributed energy resources in a decentralized way such that the energy supply reliability and resiliency are enhanced against natural disasters, physical and cyber disruptions. This dissertation addresses three main challenges for microgrid operation and management:

1) According to fast growing number of Electric Vehicles (EV) deployment, their impacts on microgrids resulted from their uncertain behaviors are new concerns for the microgrid operators. These concerns can be EV charging and discharging schedule and locations of EV parking-lots in the system which are considered and solved using stochastic modeling and optimization algorithms based …