Self-Charging System of Electric Vehicles: An Optimization Model with no Traffic Interactions

The battery packs are one of the primary sources of energy for the electric vehicles (EVs), In order to achieve the maximum power, the structural complexity of battery has to be raised with arrays of thousands of cells. However, this has also raised the cost of battery packs which is around half the cost of an EV. This has given the concept of inductive wireless charging (IWC), which could instantly charge the running EVs, while decreasing the size and thereby cost of the battery packs to a considerable extent. In this paper, the focus is to analyze an electric vehicle self-charging system (SCS), where such a system has been considered as a constrained optimization problem. The SCS contains a set of power transmitters which provide the facility of self-charging, where optimization is required during transition between different set-points of these power transmitters. This optimization will be achieved here by deriving an Augmented Lagrangian-based cost function. Moreover, the proposition is built on a condition where there are no traffic interactions. Performance evaluations under different constraints ensure accuracy of the proposed system.