In order to tap the potential of low-carbon scheduling of electric vehicles with dual characteristics of source and load, an IES optimal scheduling method considering the carbon integral reward mechanism of electric vehicles is proposed. Firstly, a carbon reward mechanism model of electric vehicles considering dynamic carbon emission factors is constructed to realize the coordinated low-carbon operation of electric vehicles and demand response resources on the load side. Secondly, a source-side flexible response model considering the coupling of two-stage power-to-gas, hydrogen fuel cell, hydrogen storage tank and carbon capture is established to enrich the flexible application of hydrogen energy and reduce carbon emissions. Finally, with the goal of minimizing the total operating cost of the system, the IES day-ahead low-carbon scheduling model is constructed. The simulation results show that the proposed method can effectively improve the enthusiasm and economic of electric vehicles participating in system scheduling.