Electric Vehicles Reform Stragety Based on Multi-objective Dynamic Programming

被引：0

作者：

Huang, Xiaoli ^{[1
]}

Lin, Yan ^{[1
]}

Chung, Tonglee ^{[2
]}

Luo, Shizhuang ^{[1
]}

机构：

[1] Jinan Univ, Coll Informat Sci & Technol, Dept Math, Guangzhou, Guangdong, Peoples R China

[2] Jinan Univ, Coll Informat Sci & Technol, Dept Comp Sci, Guangzhou, Guangdong, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年

关键词：

electric vehicles; transportation reform; dynamic programming; multi-objective;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electric vehicles are the future trend of our transportation. The problem is how we do it considering environmental, social, economic, and health impacts. In this paper, we build a Multi-objective Dynamic Programming model that simulates the reforming process from gasoline vehicles to electric vehicles. The result and the methods can be used as a reference for government electric vehicles replacing strategy. The model will show how the vehicles reform will be carried out. The replacing process will be divided into four stages. And in the end of our 40 years process, most gasoline vehicles are replaced. The advantages and problems faced while replacing will also be discussed in the paper.

引用

页码：3715 / 3718

页数：4

共 6 条

[1]

[Anonymous], 373012001 GBT

[2]

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[3]

Brinkman N., 2005, Well-to-wheels analysis of advanced fuel/vehicle systems - a north american study of energy use, greenhouse gas emissions, and criteria pollutant emissions

[4]

Department of Environment and Climate Change, 2009, EC VIAB EL VEH

[5]

Eberhard M., 2007, The 21st Century Electric Car (white paper)

[6]

Nylund N.O., 2000, Exhaust emissions from natural gas vehicles: issues related to engine performance, exhaust emissions and environmental impacts

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