To address the optimization needs of regional electric vehicle (EV) charging guidance

this paper proposes an optimal charging guidance strategy for EVs based on mixed integer linear programming

dividing the problem into two stages. In the first stage

the optimization of EV target charging station guidance aims to minimize the EV users' total time spent addressing and waiting for charging. In the second stage

the optimization of in-station scheduling determines the usage sequence of charging piles

aiming to minimize the number of pile changes during the charging process for EV users. The strategy effectively considers user participation

willingness to charge guidance

and individual differences by introducing fairness constraints. Testing in a specific area of Shanghai shows that the proposed strategy significantly reduces the total time for addressing and waiting

balances the utilization rate of charging pile capacity in regional charging stations

reduces model complexity

and demonstrates good applicability across various scenarios.