In　order　to　eliminate　the　negative　impacts　of　disorderly　charging　of　large-scale　electric　vehicles　(EVs)　on　the　operational　stability　of　transportation　road　networks,　charging　stations,　and　distribution　networks,　we　propose　an　orderly　charging　strategy　for　EVs　based　on　＇vehicle-road-station-network＇　(VRSN)　information　coupling　system.　Firstly,　a　VRSN　system　and　a　dynamic　floyd　shortest　time　path　search　model　are　constructed　to　find　the　shortest　time-consuming　path　for　EV　users.　Secondly,　based　on　the　real-time　state　of　VRSN,　we　predict　the　charging　decision　factors　for　EV　users　to　choose　different　paths　to　each　charging　station　for　fast　charging,　synthesize　the　subjective　and　objective　weights　of　the　charging　decision　factors　for　EV　users　through　hierarchical　analysis　and　the　improved　CRITIC　method,　and　decide　the　optimal　charging　paths　for　EV　users　by　using　Topsis　method.　Finally,　the　slow　charging　optimization　strategy　for　EV　users　is　proposed　to　optimize　the　slow　charging　load　of　EV　users　after　their　return　trips,　and　the　EV　slow　charging　and　fast　charging　loads　are　combined　to　further　realize　peak　shaving　and　valley　filling　of　the　distribution　network　load.　Simulation　results　show　that　the　proposed　EV　orderly　charging　strategy　can　simultaneously　improve　the　operation　level　of　VRSN　system.　©　2024　Science　Press.　All　rights　reserved.