Aiming at the problem of cost minimisation in optimal energy storage scheduling, this paper proposes a master-slave game-based sequential scheduling and operator pricing strategy for electric vehicles to satisfy the interests of both operators and users. Firstly, the upper model maximises its revenue for the distribution network control centre and sets the transaction tariff with the lower EV aggregator; the lower model aims at the lowest cost of electricity for EV users within the aggregator, and reasonably arranges the EV charging and discharging plan, forming an interactive game between the two and reaching an equilibrium solution. Then, it is linearised by Karush-Kuhn-Tucker Conditions (KKT) and strong dyadic theory, and finally solved based on MATLAB, and the simulation results show that the strategy effectively achieves a win-win situation for both operators and users.