To address the difficulty of mobile charging scheduling for intelligent connected vehicles (ICVs), a vehicle-to-vehicle based on wireless power exchange (V2V-WPE) energy trading model is proposed. The V2V-WPE energy trading market is modeled based on the theory of generalized Nash bargaining (GNB). The model constructs a novel electrified traffic energy network that uses traffic intersections as nodes and wireless energy transmission devices as channels. It aims to facilitate energy trading between vehicles, and also integrates dynamic traffic network models, OD matrix analysis methods, and dynamic Dijkstra algorithms to plan driving routes for ICVs. Finally, installing transformers and shunt capacitors in the energy distribution system (EDS) can manage voltage and reactive power on the network (Volt-VAR). Additionally, the GNB problem is decomposed into a profit maximization problem (SP1) and an energy transaction problem (SP2), and the non-convex issue of SP1 is transformed into a mixed integer linear programming problem using polyhedral approximation technology. Simulation results show that the participating ICVs see an increase in benefits, and the participating market agents receive a more equitable profit distribution, promoting energy trading among mobile connected vehicles.