Torque　distribution　optimization　is　carried　out　for　an　electric　vehicle　equipped　with　a　novel　dual-motor　multi-mode　drive　system　in　this　paper.　According　to　the　features　of　the　dual-motor　multi-mode　drive　systema　vehicle　model　is　establishedwith　the　working　range　of　different　modes　divided.　On　the　premise　of　meeting　the　requirements　of　power　performancethe　system　efficiency　oriented　strategies　for　torque　distribution　and　mode　switching　based　on　particle　swarm　optimization　algorithm　are　formulatedand　the　offline　and　online　methods　are　combined　to　enhance　the　real-time　response　speed　of　the　system.　The　simulation　model　is　established　in　Matlab　/　Simulink　with　a　simulation　conducted　and　a　hardware-in-the-loop　test　is　carried　out　for　verification.　The　results　show　that　the　average　efficiency　of　the　system　is　3%　higher　than　that　with　the　traditional　mode　switching　strategyand　the　energy　consumption　is　11.28%　lower　than　that　with　the　torque　distribution　strategy　based　on　genetic　algorithm.　©　2022　SAE-China.　All　rights　reserved.