Design optimization of the OLEV system considering battery lifetime

We present recent developments in the wireless powered On-Line Electric Vehicle (OLEV) developed by the Korea Advanced Institute of Technology (KAIST). Using advanced wireless power transfer technology, a battery in the vehicle can be charged remotely from the wireless power transmitters embedded in the road. However, the battery lifetime varies depending on the charge and discharge cycles, which are decided by installation of the wireless power transmitters. In this paper, we briefly introduce the system design issues of the OLEV and identify relation between the OLEV system design and the battery's lifetime. We then present the battery state model and the battery lifetime prediction model under given set of wireless power transmitters. In proposed battery lifetime prediction model, we apply a fatigue aging approach of the battery. The optimization problem is set to find economical allocation of the wireless power transmitters. The particle swarm optimization (PSO) algorithm is implemented as the solution approach for the optimization problem. The KAIST campus shuttle system is used as numerical case result and comparison with previous approach of the OLEV system design is presented.