Electric　vehicles　(EVs)　exhibit　highly　unpredictable　travel　patterns.　It　is　imperative　to　guide　EVs　in　an　orderly　fashion　to　enhance　the　charging　experience,　improve　charging　station　efficiency,　and　maintain　power　quality　in　the　distribution　network　(DN).　This　study　introduces　a　multi-objective　orderly　charging　guidance　strategy　based　on　the　＇Vehicle-　Traffic-Station-Network＇　(VTSN)　information　interaction　model.　The　strategy　aims　to　achieve　optimal　EV　charging　experiences,　ensure　balanced　utilization　of　charging　station　network　resources,　and　minimize　voltage　deviation　in　the　DN.　It　employs　the　NSGA-II　algorithm　to　identify　the　optimal　charging　path.　Through　this　approach,　EVs　can　engage　in　systematic　charging.　Simulation　results　confirm　the　efficacy　of　the　proposed　method　in　this　research.　©　2023　IEEE.