  Wireless charging technology provides a solution to the insufficient battery
life of electric vehicles (EVs). However, the conflict of interests between
wireless charging lanes (WCLs) and EVs is difficult to resolve. In the
day-ahead electricity market, considering the revenue of WCLs caused by the
deviation between actual electricity sales and pre-purchased electricity, as
well as endurance and traveling experience of EVs, this paper proposes a
charging scheduling algorithm based on a double-layer game model. In lower
layer, the potential game is used to model the multi-vehicle game of vehicle
charging planning. A shortest path algorithm based on the three-way greedy
strategy is designed to solve in dynamic charging sequence problem, and the
improved particle swarm optimization algorithm are used to solve the variable
ordered potential game. In the upper layer, the reverse Stackelberg game is
adopted to harmonize the cost of wireless charging lanes and electric vehicles.
As the leader, WCLs stimulate EVs to carry out reasonable charing action by
electricity price regulation. As the follower, EVs make the best charging
decisions for a given electricity price. An iteration algorithm is designed to
ensure the Nash equilibrium convergence of this game. The simulation results
show that the double-layer game model proposed in this paper can effectively
suppress the deviation between the actual electricity sales and the pre-sale of
the charging lane caused by the disorderly charging behavior of the vehicle,
and ensure the high endurance and traveling experience of EVs.
