[Development of the driving cycle-based mobile emission model (DCMEM)]

Area of Science:

• Environmental Science
• Transportation Engineering
• Atmospheric Chemistry

Background:

• Vehicle emissions significantly impact urban air quality.
• Existing emission models may not fully capture the complexities of driving conditions in China.
• Developing accurate emission factors is crucial for effective environmental management.

Purpose of the Study:

• To introduce and apply Vehicle Specific Power (VSP) and Engine Stress (ES) for characterizing vehicle driving patterns in China.
• To calculate emission rates for light-duty vehicles based on VSP and ES using on-board emission test data.
• To develop and validate a driving cycle-based mobile emission model (DCMEM) for simulating CO, NOx, and HC emissions.

Main Methods:

• Collected on-board emission test data from light-duty vehicles across 5 Chinese cities.
• Calculated emission rates for 60 BINs (Binned Emission data) using VSP and ES parameters.
• Developed the DCMEM incorporating VSP and ES to simulate emission factors for various driving cycles and cities.

Main Results:

• Emission rates were calculated for 60 BINs based on VSP and ES for light-duty vehicles.
• The DCMEM successfully simulated CO, NOx, and HC emission factors.
• Simulation results from DCMEM showed less than 10% difference for CO and NOx, and less than 18% for HC compared to emissions testing results.

Conclusions:

• VSP and ES are effective metrics for reflecting vehicle driving characteristics in China.
• The developed DCMEM provides a reliable tool for simulating light-duty vehicle emissions.
• The model's accuracy supports its application in policy-making for emission control and urban air quality improvement.