抄録
In this paper, the authors present the estimation of plug-in electric vehicle (PEV) market growth including the uncertainty of gasoline price fluctuation. The authors earlier have developed a model to estimate the market penetration of electric vehicles considering such factors as vehicle prices and availability of quick charging facilities. The optimization of public policy initiatives to support the market growth, such as the purchase subsidies and charging infrastructure investment, have then been applied based on a deterministic optimal control theory. To make the estimation more realistic, we now include the effects of gasoline price fluctuation, based on the observation of past retail gasoline prices. In the present paper, possible ranges of gasoline price fluctuation in the next ten years are estimated, and the influence on the market growth of electric vehicles is quantitatively analyzed.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 221-226 |
| ページ数 | 6 |
| ISBN（電子版） | 9781479979103 |
| DOI | |
| 出版物ステータス | Published - 2015 12 9 |
| イベント | 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 - Kota Kinabalu, Sabah, Malaysia 継続期間: 2014 12 2 → 2014 12 5 |
Other
| Other | 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 |
|---|---|
| 国 | Malaysia |
| 市 | Kota Kinabalu, Sabah |
| 期間 | 14/12/2 → 14/12/5 |
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ASJC Scopus subject areas
- Computer Science Applications
- Engineering (miscellaneous)
- Artificial Intelligence
これを引用
Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty. / Yamashita, D.; Daisho, Yasuhiro; Satoya, D.; Takamori, H.; Yokoyama, R.
Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 221-226 7351838.研究成果: Conference contribution
}
TY - GEN
T1 - Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty
AU - Yamashita, D.
AU - Daisho, Yasuhiro
AU - Satoya, D.
AU - Takamori, H.
AU - Yokoyama, R.
PY - 2015/12/9
Y1 - 2015/12/9
N2 - In this paper, the authors present the estimation of plug-in electric vehicle (PEV) market growth including the uncertainty of gasoline price fluctuation. The authors earlier have developed a model to estimate the market penetration of electric vehicles considering such factors as vehicle prices and availability of quick charging facilities. The optimization of public policy initiatives to support the market growth, such as the purchase subsidies and charging infrastructure investment, have then been applied based on a deterministic optimal control theory. To make the estimation more realistic, we now include the effects of gasoline price fluctuation, based on the observation of past retail gasoline prices. In the present paper, possible ranges of gasoline price fluctuation in the next ten years are estimated, and the influence on the market growth of electric vehicles is quantitatively analyzed.
AB - In this paper, the authors present the estimation of plug-in electric vehicle (PEV) market growth including the uncertainty of gasoline price fluctuation. The authors earlier have developed a model to estimate the market penetration of electric vehicles considering such factors as vehicle prices and availability of quick charging facilities. The optimization of public policy initiatives to support the market growth, such as the purchase subsidies and charging infrastructure investment, have then been applied based on a deterministic optimal control theory. To make the estimation more realistic, we now include the effects of gasoline price fluctuation, based on the observation of past retail gasoline prices. In the present paper, possible ranges of gasoline price fluctuation in the next ten years are estimated, and the influence on the market growth of electric vehicles is quantitatively analyzed.
KW - charging infrastructure
KW - geometric Brownian process
KW - market growth model
KW - optimization
KW - plug-in electric vehicles
UR - http://www.scopus.com/inward/record.url?scp=84969654900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84969654900&partnerID=8YFLogxK
U2 - 10.1109/ICAIET.2014.44
DO - 10.1109/ICAIET.2014.44
M3 - Conference contribution
AN - SCOPUS:84969654900
SP - 221
EP - 226
BT - Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -