The　range-extended　electric　vehicle　(REEV)　is　a　complex　nonlinear　system　powered　by　internal　combustion　engine　and　electricity　stored　in　battery.　This　research　proposed　a　Multiple　Operation　Points　(MOP)　control　strategy　of　REVV　based　on　operation　features　of　REEV　and　the　universal　characteristic　curve　of　the　engine.　The　switching　logic　rules　of　MOP　strategy　are　designed　for　the　desired　transition　of　the　operation　mode,　which　makes　the　engine　running　at　high　efficiency　region.　A　Genetic　algorithm　(GA)　is　adapted　to　search　the　optimal　solution.　The　fuel　consumption　is　defined　as　the　target　cost　function.　The　demand　power　of　engine　is　defined　as　optimal　variable.　The　state　of　charge　(SOC)　and　vehicle　speed　are　selected　as　the　state　variables.　The　dynamic　performance　of　vehicle　and　cycling　life　of　battery　is　set　as　the　constraints.　The　optimal　switching　parameters　are　obtained　based　on　this　control　strategy.　Finally,　a　dynamic　simulation　model　of　REEV　is　developed　in　Matlab/Simulink.　The　REEV　perform　simulated　over　of　the　New　European　Driving　Cycle　(NEDC)shows　that　the　proposed　strategy　can　significantly　improve　the　fuel　economy　when　compared　with　the　rule-based　operation　strategy.　Copyright　©　2017　SAE　International.