With the increase in electric vehicle use in recent years and expected increase in the future, a wireless network provides a possible option to allow vehicles with a route while maintaining an approximate net-zero energy balance under certain scenarios. In this type of network, a collection of wireless charging pads is installed under the road, and energy transfer occurs, while a vehicle with wireless charging capability is driven over the charging pads. This thesis describes a methodology and modeling to solve an optimization problem involving a speed-controlled vehicle in traffic. The methodology incorporates a receding horizon dynamic model with constraints. Suboptimal results are described under multiple traffic scenarios. Several scenarios are explored while the vehicle under constrain (controlled vehicle) is dynamic, its charging behavior with being the only vehicle on the route and while the vehicle is following the route while other vehicles present on the route and the controlled vehicle is following the traffic. Besides, describe the methodology for dynamic charging and the optimal charge station for the current charging rate. This model of predictive control can be adopted in real-time given certain information is available for the controlled vehicle and traffic conditions.
Qun (Vincent) Zhang
Date of Degree
Master of Science (MS)
Electrical and Computer Engineering and Technology
Science, Engineering and Technology
Jemi, A. (2022). Optimal speed control of electric vehicles in traffic with wireless charging [Master’s thesis, Minnesota State University, Mankato]. Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. https://cornerstone.lib.mnsu.edu/etds/1203/
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