The　dual-motor　coupling-propulsion　electric　vehicle　(DMCP-EV)　has　the　merit　of　favorable　energy　efficiency　due　to　its　multiple　operation　modes.　In　the　driving　process,　the　performance　of　the　DMCP-EV　depends　greatly　on　the　power　distribution　to　meet　various　driving　requests.　A　power　distribution　coefficient　is　optimized　by　using　the　genetic-Pareto　algorithm　(GA-Pareto)　algorithm.　In　addition　to　this　effort,　a　power　distribution　strategy　based　on　tradeoff　optimization　with　comprehensive　consideration　of　energy　efficiency　and　ride　comfort　is　proposed.　Then,　the　sensitive　analysis　of　optimized　performance　is　conducted　to　obtain　the　three　appropriate　GA-Pareto　algorithm　parameters.　The　benchmark　strategies　are　conducted　to　validate　the　proposed　tradeoff　power　distribution　strategy　and　the　comparisons　of　three　preference　strategies　with　the　hardware-in-loop　(HIL)　validation　are　performed.　Results　of　the　simulation　and　HIL　experiments　demonstrate　that　the　proposed　control　strategies　can　address　the　tradeoff　between　energy-efficient　and　ride　comfort　for　DMCP-EV.