Evaluating the Impact of Connected Vehicle Technology on Heavy-Duty Vehicle Emissions 2023-01-0716
Eco-driving algorithms enabled by Vehicle to Everything (V2X) communications in Connected and Automated Vehicles (CAVs) can improve fuel economy by generating an energy-efficient velocity trajectory for vehicles to follow in real time. Southwest Research Institute (SwRI) demonstrated a 7% reduction in energy consumption for fully loaded class 8 trucks using SwRI’s eco-driving algorithms. However, the impact of these schemes on vehicle emissions is not well understood. This paper details the effort of using data from SwRI’s on-road vehicle tests to measure and evaluate how eco-driving could impact emissions. Two engine and aftertreatment configurations were evaluated: a production system that meets current NOX standards and a system with advanced aftertreatment and engine technologies designed to meet low NOX 2031+ emissions standards. For the production system, eco-driving on an urban cycle resulted in a CO2 reduction of 8.4% but an increase of 18% in brake specific NOX over the baseline cycle. With the low NOX system, eco-driving achieved a similar reduction in CO2. NOX emissions increased 108% over the baseline but remained below the low NOX standard. The eco-driving cycles generated lower exhaust temperatures than the baseline cycles, which inhibited SCR catalyst performance and increased tailpipe NOX. Conversely, a port drayage cycle with eco-driving showed improvements in both CO2 and NOX emissions over the baseline. The results demonstrate that eco-driving algorithms can be a technological enabler to meet current and potential future emissions targets for heavy-duty applications.
Citation: Gankov, S., Rao, S., Zavala, B., Bhagdikar, P. et al., "Evaluating the Impact of Connected Vehicle Technology on Heavy-Duty Vehicle Emissions," SAE Technical Paper 2023-01-0716, 2023, https://doi.org/10.4271/2023-01-0716. Download Citation
Author(s):
Stanislav Gankov, Sandesh Rao, Bryan Zavala, Piyush Bhagdikar, Jayant Sarlashkar, Christopher Sharp, Michael Brown, Sankar Rengarajan
Affiliated:
Southwest Research Institute
Pages: 14
Event:
WCX SAE World Congress Experience
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Vehicle to vehicle (V2V)
Heavy trucks
Automated Vehicles
Energy consumption
Fuel economy
Environmental regulations and standards
Emissions
Connectivity
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