EV-Road-Grid: Enabling Optimal Electric Vehicle Charging Path Considering Wireless Charging and Dynamic Energy Consumption

Transportation system and power grid are tightly coupled by electric vehicles (EVs) and charging facilities. Finding the optimal charging path is crucial to mitigate EV user's mileage anxiety and guarantee the safety and stability of the power grid. To this end, this paper builds a charging path optimization model considering the constraints of transportation system and power grid, wireless charging power system, and dynamic energy consumption of EV. In addition, a charging path optimization algorithm based on Dijkstra and road section weighting is proposed, which can generate different optimal charging paths according to EV users' diverse preferences. To verify the feasibility and performance of the proposed algorithm, power grid is modeled as the standard IEEE-27 bus model and transportation system is the real road network of the high-tech zone of Kaifeng, China. Two scenarios with/without wireless charging power system are simulated in MATLAB, and the results are compared. The results show that with the support of wireless charging EVs with low initial energy can travel a longer distance, which can significantly mitigate EV users' mileage anxiety. The algorithm can find the optimal charging path for different EV users with different preferences. Simulation results with 100 EVs show that as the number of EVs increases, the algorithm still works well.