Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs)
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, Yunjung | - |
dc.contributor.author | Park, Sungwook | - |
dc.date.accessioned | 2021-08-02T18:30:11Z | - |
dc.date.available | 2021-08-02T18:30:11Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2014-08 | - |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/25821 | - |
dc.description.abstract | The present paper suggests fuel consumption modeling for HDVs based on the code from the Japanese Ministry of the Environment. Two interpolation models (inversed distance weighted (IDW) and Hermite) and three types of fuel efficiency maps (coarse, medium, and dense) were adopted to determine the most appropriate combination for further studies. Finally, sensitivity analysis studies were conducted to determine which parameters greatly impact the fuel efficiency prediction results for HDVs. While vitiating each parameter at specific percentages (+/- 1%, +/- 3%, +/- 5%, +/- 10%), the change rate of the fuel efficiency results was analyzed, and the main factors affecting fuel efficiency were summarized. As a result, the Japanese transformation algorithm program showed good agreement with slightly increased prediction accuracy for the fuel efficiency test results when applying the Hermite interpolation method compared to IDW interpolation. The prediction accuracy of fuel efficiency remained unchanged regardless of the chosen fuel efficiency map data density. According to the sensitivity analysis study, three parameters (fuel consumption map data, driving force, and gross vehicle weight) have the greatest impact on fuel efficiency (+/- 5% to +/- 10% changes). | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI AG | - |
dc.title | Modeling and Parameterization of Fuel Economy in Heavy Duty Vehicles (HDVs) | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Sungwook | - |
dc.identifier.doi | 10.3390/en7085177 | - |
dc.identifier.scopusid | 2-s2.0-84906898044 | - |
dc.identifier.wosid | 000341230200022 | - |
dc.identifier.bibliographicCitation | ENERGIES, v.7, no.8, pp.5177 - 5200 | - |
dc.relation.isPartOf | ENERGIES | - |
dc.citation.title | ENERGIES | - |
dc.citation.volume | 7 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 5177 | - |
dc.citation.endPage | 5200 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.subject.keywordAuthor | heavy duty vehicle (HDV) | - |
dc.subject.keywordAuthor | Japanese transformation algorithm program | - |
dc.subject.keywordAuthor | inversed distance weighted (IDW) and Hermite interpolation method | - |
dc.subject.keywordAuthor | fuel efficiency map | - |
dc.subject.keywordAuthor | sensitivity analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.