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Evaluating the Impact of Connected Vehicle Technology on Heavy-Duty Vehicle Emissions Southwest Research Institute

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Gankov, Stanislav, author.
Contributor:
Bhagdikar, Piyush
Brown, Michael
Rao, Sandesh
Rengarajan, Sankar
Sarlashkar, Jayant
Sharp, Christopher
Zavala, Bryan
Conference Name:
WCX SAE World Congress Experience (2023-04-18 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2023
Summary:
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
Notes:
Vendor supplied data
Publisher Number:
2023-01-0716
Access Restriction:
Restricted for use by site license

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