With the implementation of the national dual carbon goal, the prospect of self-consistent highway transportation energy system is huge. Under the new situation, the planning and deployment of highway electric vehicle charging facilities face both opportunities and challenges. In order to realize the deep coupling and coordinated operation of charging facilities and self-consistent energy system, a planning and deployment method of electric vehicle charging facilities in a self-consistent highway transportation energy system based on The Flow Refueling Location Model (FRLM) was proposed. Firstly, based on the characteristics of users' charging behaviors, a queuing charging model was constructed. Secondly, extending on the basis of FRLM, adding the queue constraint from the perspective of social travel users and the fund constraint from the perspective of operation and management users., a new model for the location and capacity of highway charging stations was established with the optimization target of maximum comprehensive annual benefit. Thirdly., an algorithm was designed to determine the preliminary selection of the charging stations combination, and the immune algorithm was used to further solve the optimization. Finally, the proposed method was simulated and verified in a highway network. The effectiveness and practicability of the proposed method are verified by the case study.