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Title: Heavy-Duty Vehicle Port Drayage Drive Cycle Characterization and Development: Preprint

Abstract

In an effort to better understand the operational requirements of port drayage vehicles and their potential for adoption of advanced technologies, National Renewable Energy Laboratory (NREL) researchers collected over 36,000 miles of in-use duty cycle data from 30 Class 8 drayage trucks operating at the Port of Long Beach and Port of Los Angeles in Southern California. These data include 1-Hz global positioning system location and SAE J1939 high-speed controller area network information. Researchers processed the data through NREL's Drive-Cycle Rapid Investigation, Visualization, and Evaluation tool to examine vehicle kinematic and dynamic patterns across the spectrum of operations. Using the k-medoids clustering method, a repeatable and quantitative process for multi-mode drive cycle segmentation, the analysis led to the creation of multiple drive cycles representing four distinct modes of operation that can be used independently or in combination. These drive cycles are statistically representative of real-world operation of port drayage vehicles. When combined with modeling and simulation tools, these representative test cycles allow advanced vehicle or systems developers to efficiently and accurately evaluate vehicle technology performance requirements to reduce cost and development time while ultimately leading to the commercialization of advanced technologies that meet the performance requirements of the port drayagemore » vocation. The drive cycles, which are suitable for chassis dynamometer testing, were compared to several existing test cycles. This paper presents the clustering methodology, accompanying results of the port drayage duty cycle analysis and custom drive cycle creation.« less

Authors:
; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1290789
Report Number(s):
NREL/CP-5400-66649
Journal ID: ISSN 1946--3928
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Journal Volume: 9; Journal Issue: 2; Conference: To be presented at the 2016 SAE Commercial Vehicle Engineering Congress (COMVEC), 4-6 October 2016, Rosemont, Illinois
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; drayage; heavy-duty; drive cycle; duty cycle; port

Citation Formats

Prohaska, Robert, Konan, Arnaud, Kelly, Kenneth, and Lammert, Michael. Heavy-Duty Vehicle Port Drayage Drive Cycle Characterization and Development: Preprint. United States: N. p., 2016. Web. doi:10.4271/2016-01-8135.
Prohaska, Robert, Konan, Arnaud, Kelly, Kenneth, & Lammert, Michael. Heavy-Duty Vehicle Port Drayage Drive Cycle Characterization and Development: Preprint. United States. doi:10.4271/2016-01-8135.
Prohaska, Robert, Konan, Arnaud, Kelly, Kenneth, and Lammert, Michael. Mon . "Heavy-Duty Vehicle Port Drayage Drive Cycle Characterization and Development: Preprint". United States. doi:10.4271/2016-01-8135. https://www.osti.gov/servlets/purl/1290789.
@article{osti_1290789,
title = {Heavy-Duty Vehicle Port Drayage Drive Cycle Characterization and Development: Preprint},
author = {Prohaska, Robert and Konan, Arnaud and Kelly, Kenneth and Lammert, Michael},
abstractNote = {In an effort to better understand the operational requirements of port drayage vehicles and their potential for adoption of advanced technologies, National Renewable Energy Laboratory (NREL) researchers collected over 36,000 miles of in-use duty cycle data from 30 Class 8 drayage trucks operating at the Port of Long Beach and Port of Los Angeles in Southern California. These data include 1-Hz global positioning system location and SAE J1939 high-speed controller area network information. Researchers processed the data through NREL's Drive-Cycle Rapid Investigation, Visualization, and Evaluation tool to examine vehicle kinematic and dynamic patterns across the spectrum of operations. Using the k-medoids clustering method, a repeatable and quantitative process for multi-mode drive cycle segmentation, the analysis led to the creation of multiple drive cycles representing four distinct modes of operation that can be used independently or in combination. These drive cycles are statistically representative of real-world operation of port drayage vehicles. When combined with modeling and simulation tools, these representative test cycles allow advanced vehicle or systems developers to efficiently and accurately evaluate vehicle technology performance requirements to reduce cost and development time while ultimately leading to the commercialization of advanced technologies that meet the performance requirements of the port drayage vocation. The drive cycles, which are suitable for chassis dynamometer testing, were compared to several existing test cycles. This paper presents the clustering methodology, accompanying results of the port drayage duty cycle analysis and custom drive cycle creation.},
doi = {10.4271/2016-01-8135},
journal = {},
number = 2,
volume = 9,
place = {United States},
year = {Mon Aug 01 00:00:00 EDT 2016},
month = {Mon Aug 01 00:00:00 EDT 2016}
}

Conference:
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