An Autonomous Unmanned Ground Vehicle Charging Station Navigation System Based on Computational Intelligence Models

Wu, Yu-Ting (Tim), Chaomin Luo, Mohan Krinisnan, Mark Paulik, and Utayba Mohammad

An electric vehicle charging station is a component in an infrastructure supplying electric energy for the recharging of plug-in electric vehicles. A charging station is usually accessible to an autonomous vehicle driven by intelligent algorithms. An autonomous vehicle is assumed to be capable of autonomously navigating it into a charging station. In this research project, a hybrid intelligent system is developed to navigate an autonomous vehicle into a charging station.  In this project, the autonomous vehicle is driven by D*-Lite path planning methodology in conjunction with a VFH local navigator. Once it approaches the charging station, the autonomous vehicle should be directed at the charging station at a proper angle, which is accomplished by a fuzzy logic controller associated simulated annealing methodology.  Angle is used to adjust the vehicle straight at the charging station by fuzzy logic controller associated simulated annealing methodology. Simulation studies on the Player/Stage platform demonstrate that the proposed model can successfully guide an autonomous vehicle into the charging station.