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Transfer Methods for Vehicle Carbon Emission Models Based on the Parallel Transportation System

文献类型：期刊论文

作者Sun, Yao1; Hu, Yunfeng1,2; Zhang, Hui3,4; Chen, Hong1,5; Wang, Fei-Yue6,7,8,9
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2024-03-18
页码11
关键词Generalized carbon emission module modular integrated emission model parallel transportation system transfer method spatio-temporal characterization
ISSN号1524-9050
DOI10.1109/TITS.2024.3373615
通讯作者Hu, Yunfeng(huyf@jlu.edu.cn) ; Zhang, Hui(huizhang285@gmail.com)
英文摘要Vehicle carbon emission models are essential for monitoring and managing transportation emissions. Considering the numerous vehicle types and diverse driving conditions, modeling each vehicle individually is not possible. A generalized carbon emission module (GCEM) is proposed to realize fast model transfer across both light-duty gasoline and heavy-duty diesel vehicles. It has five main components: normalized torque function, category-specified fuel consumption rate function, denormalized function, emission-standard correction, and fuel-specified conversion. GCEM estimates carbon emissions based on the engine bench results of a reference vehicle, avoiding time-consuming and costly experiments. By normalizing engine torque, the significant power disparities within the same vehicle category can be effectively addressed. Integrating GCEM within the parallel transportation system is a feasible solution for monitoring complex traffic emissions. Through comprehensive comparisons, GCEM demonstrates a superior generalized ability in this data-limited scenario than three baseline models, both for various test vehicles and diverse driving conditions. As real-world traffic is a typical data-limited scenario, GCEM is a promising and practical transfer method for estimating vehicle carbon emissions.
WOS关键词FUEL CONSUMPTION ; CO2 EMISSIONS
资助项目National Natural Science Foundation of China
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:001189494300001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/58029]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Hu, Yunfeng; Zhang, Hui
作者单位1.Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China
2.Jilin Univ, Coll Commun Engn, Changchun 130025, Peoples R China
3.Beihang Univ, Sch Transportat Sci & Engn, Beijing 100091, Peoples R China
4.Beihang Univ, Ningbo Inst Technol NIT, Ningbo 315323, Peoples R China
5.Tongji Univ, Coll Elect & Informat Engn, Shanghai 200092, Peoples R China
6.Macau Univ Sci & Technol, Macau 999078, Peoples R China
7.Chinese Acad Sci, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100098, Peoples R China
8.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
9.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Yao,Hu, Yunfeng,Zhang, Hui,et al. Transfer Methods for Vehicle Carbon Emission Models Based on the Parallel Transportation System[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2024:11.
APA Sun, Yao,Hu, Yunfeng,Zhang, Hui,Chen, Hong,&Wang, Fei-Yue.(2024).Transfer Methods for Vehicle Carbon Emission Models Based on the Parallel Transportation System.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,11.
MLA Sun, Yao,et al."Transfer Methods for Vehicle Carbon Emission Models Based on the Parallel Transportation System".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2024):11.

入库方式： OAI收割

来源：自动化研究所

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