To　improve　the　mode　transition　quality　under　the　mode　switching　process　and　the　mode　operation　process　without　sacrificing　the　economy　performance.　A　coordinated　control　strategy　based　on　GA-ECMS　torque　optimization　during　driving　mode　is　proposed.　Firstly,　the　real-time　optimal　operation　model　and　optimized　data　table　of　torque　under　different　mode　are　obtained　by　the　equivalent　fuel　consumption　minimization　strategy(ECMS).　Secondly,　the　torque　coefficient　of　the　motor　is　introduced　as　control　variable,　the　SOC　is　defined　as　the　state　variable　and　the　transition　jerk　of　vehicle　is　constituted　as　the　objective　cost　function.　Finally,　the　genetic　algorithm(GA)　is　applied　to　optimize　the　torque　coefficient　of　the　motor,　and　coordinated　control　strategy　based　on　optimization　of　motor　torque　coefficient　is　proposed.　A　hybrid　electric　powertrain　simulation　model　is　developed　on　Matlab/Simulink　simulation　platform,　the　driving　cycle　of　NEDC　and　HWFET　were　used　for　verification.　The　results　show　that　under　the　NEDC　cycles,　the　maximum　jerk　reduce　from　19.45　m•s-3　to　10.96m•s-3,　decreased　by　43.65　%;　and　under　the　HWFFET　cycles,　the　maximum　jerk　reduce　from　10.692　m•s-3　to　5.869m•s-3,　decreased　by　45.11　%.The　hardware　in　the　loop　experiment　based　on　the　D2P　system　used　Fuzhou　driving　cycle　is　further　verified,　which　shows　that　the　coordinated　control　strategy　based　on　torque　optimization　can　effectively　reduce　the　transition　jerk　of　vehicle　compared　to　normal　strategy,　and　the　fuel　economy　performance　is　improved.　©　2020　Journal　of　Mechanical　Engineering.