Feasibility of Operating a Heavy-Duty Battery Electric Truck Fleet for Drayage Applications

Shams Tanvir, Fuad Un-Noor, Kanok Boriboonsomsin, Zhiming Gao

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Vehicle fleet electrification is regarded as one major pathway toward achieving energy independence and reducing air pollution and greenhouse gas emissions. Compared to light-duty and medium-duty vehicles, electrification of heavy-duty vehicles, especially Class 8 trucks, is more challenging owing to the battery size required to attain the driving range necessary for their operating goals. As drayage trucks generally have a limited daily mileage, return to a home base every night, and spend a large amount of time creeping and idling, drayage operation has been the first targeted application for Class 8 electric trucks. The feasibility of operating battery electric drayage trucks at the individual vehicle level has recently been demonstrated. However, questions remain as to whether these trucks are capable of meeting the needs of typical drayage operation at the fleet level. This paper presents a feasibility analysis of operating an electric truck fleet based on real-world operation data of a diesel drayage operator in Southern California. Second-by-second activity data collected from 20 trucks in the fleet were used to estimate the corresponding electric energy consumption and the state of charge of the battery using a microscopic electric energy consumption model. An algorithm for generating tours of drayage activity from the collected data was developed and implemented. Multiple scenarios with different battery charging and truck scheduling assumptions were analyzed. The results show that 85% of the tours could be served by electric trucks if there is opportunity for charging at the home base during the time gap between consecutive tours.

Original languageEnglish
Pages (from-to)258-268
Number of pages11
JournalTransportation Research Record
Volume2675
Issue number1
DOIs
StatePublished - Jan 27 2020

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors received funding support from the U.S. Department of Transportation’s University Transportation Centers Program through the Center for Advancing Research in Transportation Emissions, Energy, and Health (Grant Number: 69A3551747128).

FundersFunder number
U.S. Department of Transportation69A3551747128

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