Maximum Power Optimization of On-Line Electric Vehicles (OLEV)

Abstract

In this thesis the design configuration of On-Line Electric Vehicle (OLEV) which is an innovative electric vehicle based transportation system made by KAIST (Korea Advanced Institute of Science and Technology) is implemented. The wireless charging phenomenon is used for KAIST system, in which power transmitters are installed beneath the road and OLEV battery is charged through them remotely. In current work system design issues of OLEV are addressed. Size of battery and power transmitters allocation that wirelessly charge battery of OLEV are the two key economic and design parameters. A complete model configuration of OLEV system including design of vehicle and power transmitter to charge vehicle battery is implemented using MATLAB/Simulink. Discrete segmented approach is used for switching of power transmitters to charge the battery and battery's State Of Charge (SOC) goes up and down accordingly. Mixed Integer Programming (MIP) model is used for cost calculation. The model is unique in a way that any type of velocity (regulated or deregulated) can be run into this and through SOC graph, optimal battery size and no. of power transmitters for the particular route and velocity can be adjusted easily. The model is verified by, firstly, applying operating velocity of KAIST campus OLEV and its battery size along with exiting no. of power transmitters and, then, applying suggested solution on the same velocity and route. As both regulated and deregulated velocities can be used, the model is applicable in both closed and open environments. Keywords: On-Line Electrical Vehicle, Korea advance institute of science and technology, State Of Charge, Mixed Integer Programming. Open and Closed environments.