Evaluation of Battery Electric Trucks and Connected Vehicle Technologies for Drayage Application
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2021-10-01
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Corporate Contributors:United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; California Energy Commission ; California Air Resources Board ; South Coast Air Quality Management District (Calif.)
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Edition:Final, May 1, 2017–October 31, 2019
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Abstract:In recent years, battery electric trucks have emerged as an increasingly viable solution for reducing energy consumption and environmental impacts. This study evaluated whether these trucks would be capable of meeting the needs of drayage operation at the fleet level using second-by-second activity data collected from 20 trucks of a drayage operator in Southern California in conjunction with a microscopic electric energy consumption model. It was found that 11 percent of the truck tours had a tour distance longer than the range of the modeled electric truck. Considering the sequence of tours and their start times in the itinerary, 55 percent of all the tours could be served by electric trucks. That number would increase to 75 percent if allowing for opportunity charging at the home base during the time gap between two consecutive tours. These results imply that it would not yet be operationally feasible for this drayage operator to fully transition to a 100 percent electric truck fleet. In addition, this study evaluated the potential for a connected vehicle application called eco-approach and departure (EAD) at signalized intersections to provide energy savings, and consequently increase the driving range, for electric trucks. An algorithm was developed based on the microscopic electric energy consumption model and advanced optimization methods, and then applied in a traffic microsimulation environment to evaluate the energy and emission impacts on both the EAD-equipped electric trucks and traffic as a whole. A sensitivity analysis of those impacts with respect to traffic volumes and market penetration rates was also performed. The results showed that the EAD application could achieve up to 8 percent energy savings for the electric trucks in light traffic, but the EAD application became less effective as traffic congestion increased. If the energy savings benefit that the EAD application provides can help increase the market adoption of electric trucks, then there will be substantial benefits in terms of traffic emission reductions from the turnover of diesel trucks to electric trucks as well.
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