As a key strategy to achieve China’s dual carbon targets

electric vehicles（EVs）can not only reduce CO2 emissions and improve air quality but also utilize renewable energy for enhanced energy security. EVs can also help balance and stabilize the power grid through smart charging systems. To maximize EVs’role in carbon reduction

it’s vital to establish a carbon inclusion mechanism for quantifying and rewarding low-carbon behavior. Existing models

often based on macro-data or typical experiences

don’t accurately reflect individual variations. So that

a new model considering factors like air conditioning

driving modes

road conditions and load is proposed based on the mechanics of EV systems. This model provides an improved method for calculating equivalent mileage between fuel and electric vehicles

and a carbon reduction calculation model for EVs

effectively reflecting the impact of individual driving habits on carbon reduction.By analyzing long- term driving data of various EVs under different conditions

the model’s accuracy has improved from 82.47% to 96.33%

demonstrating its effectiveness.