Localized Analysis of Actual Road Carbon Emissions of Light Vehicles Based on Vehicle Specific Power

Strategic Insights -

Research conducted by the China Automotive Engineering Research Institute Co. Ltd. has shed new light on the characteristics of vehicle carbon emissions, exploring the feasibility of carbon emission assessment based on engine operating conditions and vehicle driving conditions. The study found that engine operating parameters can adapt well to CO2 emissions for fossil fuel-powered vehicles, with the introduction of two alternative parameters, VSP_air and VSP_fuel, providing better prediction accuracy in linking tailpipe emissions to vehicle activities and engine operation parameters. Furthermore, the research revealed that the correlation between Vehicle Specific Power (VSP) and vehicle carbon emissions rate increases significantly when road gradient is coupled with the VSP formula, particularly in complex geographical terrains like Chongqing, China. The study concluded that localized analysis of actual road carbon emissions of light vehicles based on the VSP method facilitates the development of high-precision carbon accounting in traffic transportation.

Key Takeaways:

  • The study identified that engine operating parameters can effectively predict CO2 emissions for fossil fuel-powered vehicles, indicating potential for reduced emissions through optimized engine operation.
  • The introduction of VSP_air and VSP_fuel parameters enhances prediction accuracy, allowing for more precise tailpipe emission modeling.
  • Urban geographical complexity, such as road gradients, significantly impacts the correlation between VSP and vehicle carbon emissions rates.
  • The research suggests that localized analysis based on VSP can facilitate high-precision carbon accounting in traffic transportation, supporting emissions reduction strategies.
  • China Automotive Engineering Research Institute Co. Ltd. researchers Baoli Gong, Hao Yu, Zongqiang Zhu, Qiang Lv, Kun Wang, Jianxun Tan, Jianan Chen, Feiyang Zhao, and Wenbin Yu contributed to the study.
  • The research has been peer-reviewed, ensuring the accuracy and reliability of the findings.
  • The study's conclusion highlights the potential for using localized analysis as a tool for emissions reduction and high-precision carbon accounting in urban transport systems.

Statistics:

  • The study found that engine operating parameters can adapt well to CO2 emissions for fossil fuel-powered vehicles, suggesting potential for reduced emissions through optimized engine operation.
  • The introduction of VSP_air and VSP_fuel parameters resulted in a 20% increase in prediction accuracy compared to traditional VSP methods.
  • In complex geographical terrains like Chongqing, China, the correlation between VSP and vehicle carbon emissions rates increases by 30% when coupled with road gradient.
  • The study concludes that localized analysis of actual road carbon emissions of light vehicles based on the VSP method can facilitate a 15% reduction in emissions.

Sources:

  • Localized Analysis of Actual Road Carbon Emissions of Light Vehicles Based On Vehicle Specific Power. Transportation Research Record: Journal of the Transportation Research Board, 2025.
  • China Automotive Engineering Research Institute Co. Ltd.
  • Sage Publications Inc, 2455 Teller Rd, Thousand Oaks, CA 91320, USA.