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

Abstract

<div class="section abstract"><div class="htmlview paragraph">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 NO<sub>X</sub> standards and a system with advanced aftertreatment and engine technologies designed to meet low NO<sub>X</sub> 2031+ emissions standards. For the production system, eco-driving on an urban cycle resulted in a CO<sub>2</sub> reduction of 8.4% but an increase of 18% in brake specific NO<sub>X</sub> over the baseline cycle. With the low NO<sub>X</sub> system, eco-driving achieved a similar reduction in CO<sub>2</sub>. NO<sub>X</sub> emissions increased 108% over the baseline but remained below the low NO<sub>X</sub> standard. The eco-driving cycles generated lower exhaust temperatures than the baseline cycles, which inhibited SCR catalyst performance and increased tailpipe NO<sub>X</sub>. Conversely, a port drayage cycle with eco-driving showed improvements in both CO<sub>2</sub> and NO<sub>X</sub> 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.</div></div>