Aiming　at　the　range　anxiety　problems　of　electric　vehicles,　taking　the　electric　vehicles　as　the　research　objects,　based　on　the　＇vehicle-road-network＇　intelligent　system,　the　road　topology　model,　impedance　evaluation　model　and　vehicle　energy　consumption　model　were　established,　the　optimal　driving　time,　optimal　energy　consumption　and　comprehensive　optimization　were　as　the　objectives　respectively,　and　the　A*　algorithm　was　used　to　plan　the　charging　path　of　electric　vehicles.　Taking　Fuzhou　urban　cycle　as　an　example,　the　main　driving　cycle　data　was　collected,　the　planned　road　sections　were　matched　with　the　driving　cycle　data　to　predict　the　vehicle　driving　time　and　energy　consumption,　and　the　impedance　cost　of　each　objective　was　calculated　by　combining　the　waiting　time　for　charging.　The　results　show　that　the　proposed　charging　path　planning　strategy　may　respectively　plan　the　optimal　charging　path　considering　time,　energy　consumption　and　comprehensive　optimization　according　to　the　needs　of　drivers.　©　2021,　China　Mechanical　Engineering　Magazine　Office.　All　right　reserved.