Abstract: With the rapid expansion of electric vehicle (EV), formulating a planning scheme for charging station (CS) that aligns with the scale development of electric vehicle is crucial for achieving rational planning and layout of CS and fostering the healthy development of EV industry. In this paper, the division of phases and the reconstruction and expansion of CSs as a decision-making method into the planning model, and an adaptive phased planning method for electric vehicle charging stations considering reconstruction and expansion is proposed. First, considering the interests of CSs, power grids and users, a CS planning model is constructed with the total number of stages, the period of each stage, site selection, capacity determination and renovation as decision variables, and the minimum comprehensive cost of investment and queuing time as the goal. Then, by considering the scale evolution process of EVs, based on the phased judgment conditions and the transformation and expansion decision-making, an adaptive phased decision-making model of CSs is established. Finally, the immune genetic algorithm is used to solve the model. The results based on the simulation example verify the economy and effectiveness of the proposed method.