The path planning for Electric Vehicle (EV) charging enables the owner to reasonably select the charging facility. The charging facility is an important place for the EV to replenish the power. The balance of utilization rate of charging facilities is less considered in current researches, the deviation of the utilization rate of charging facilities will lead to some problems such as excessive load of charging facilities and traffic jams on surrounding roads. Therefore, this paper proposed the charging facility selection method (CFSM) for the path planning of EV. By considering the road traffic condition, CFSM selects charging facilities under the constraint of the shortest driving time of EVs and establishes the charging guidance model of EVs. We implement the proposed CFSM under the constructed EV simulation scenarios. The CFSM was compared with the method of selecting the nearest charging facility (NSCF) and the method of randomly selecting a charging facility (RSCF), and several experiments were performed. The experimental results show that the time utilization variance of CFSM is 95.8% lower than that of NCSF, and 95.1% lower than that of RSCF. Balance the utilization of charging facilities based on the shortest total vehicle running time.