Mathematical modeling and optimization of the automated wireless charging electric transportation system

In this paper, we introduce the automated wireless charging solution in the revolutionary transportation system called On-Line Electric Vehicle (OLEV). Also, we present the mathematical model and optimization method to evaluate the optimal key parameters in the automated system. The OLEV, recently developed by Korea Advanced Institute of Science and Technology (KAIST), is the transportation system utilizing the innovative wireless charging technology. The OLEV operates with an electric motor and a battery. Unlike conventional electric vehicles which rely on manual cable-plug-in operations for charging, the battery in the OLEV system is charged remotely from the power transmitters buried under the road. Also the charge can be done automatically while the vehicle is in motion. As a result, the re-charging down-time, which is the major drawback of the conventional electric vehicle, is significantly reduced and the operational efficiency is dramatically improved. The OLEV is selected as one of “the 50 Best Innovations of 2010” by TIME Magazine and it is now being considered for a next generation green transportation system in several metropolitan cities in Korea. In this paper, we present an mathematical model to optimize the key parameters of the automated charging solution in the OLEV. The Mixed Integer Programming (MIP) algorithm is used for the optimization model. Numerical results are also presented.