Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박성욱 | - |
dc.date.accessioned | 2019-11-25T06:00:01Z | - |
dc.date.available | 2019-11-25T06:00:01Z | - |
dc.date.issued | 2017-05 | - |
dc.identifier.citation | SCIENCE OF THE TOTAL ENVIRONMENT, v. 595, page. 2-12 | en_US |
dc.identifier.issn | 0048-9697 | - |
dc.identifier.issn | 1879-1026 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0048969717306927?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/114145 | - |
dc.description.abstract | The purpose of this study is to investigate possible improvements in ICEVs by implementing fuzzy logic-based parallel hard-type power hybrid systems. Two types of conventional ICEVs (gasoline and diesel) and two types of HEVs (gasoline-electric, diesel electric) were generated using vehicle and powertrain simulation tools and a Matlab-Simulink application programming interface. For gasoline and gasoline-electric HEV vehicles, the prediction accuracy for four types of LDV models was validated by conducting comparative analysis with the chassis dynamometer and OBD test data. The predicted results show strong correlation with the test data. The operating points of internal combustion engines and electric motors are well controlled in the high efficiency region and battery SOC was well controlled within +/- 1.6%. However, for diesel vehicles, we generated virtual diesel-electric HEV vehicle because there is no available vehicles with similar engine and vehicle specifications with ICE vehicle. Using a fuzzy logic-based parallel hybrid system in conventional ICEVs demonstrated that HEVs showed superior performance in terms of fuel consumption and CO2 emission in most driving modes. (C) 2017 Elsevier B.V. All rights reserved. | en_US |
dc.description.sponsorship | The support of the research work presented in this paper by AVL List GmbH in providing licenses of AVL CRUISE within the frame of its University Partnership Program and the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20164010200860). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ELSEVIER SCIENCE BV | en_US |
dc.subject | Vehicle dynamic based model | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Internal combustion engine vehicles (ICEVs) | en_US |
dc.subject | Hybrid electric vehicles (HEVs) | en_US |
dc.subject | Fuel efficiency | en_US |
dc.subject | CO2 emission rate | en_US |
dc.title | Estimation of CO2 reduction by parallel hard-type power hybridization for gasoline and diesel vehicles | en_US |
dc.type | Article | en_US |
dc.relation.volume | 595 | - |
dc.identifier.doi | 10.1016/j.scitotenv.2017.03.171 | - |
dc.relation.page | 2-12 | - |
dc.relation.journal | SCIENCE OF THE TOTAL ENVIRONMENT | - |
dc.contributor.googleauthor | Oh, Yunjung | - |
dc.contributor.googleauthor | Park, Junhong | - |
dc.contributor.googleauthor | Lee, Jong Tae | - |
dc.contributor.googleauthor | Seo, Jigu | - |
dc.contributor.googleauthor | Park, Sungwook | - |
dc.relation.code | 2017000232 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | parks | - |
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