Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty

D. Yamashita, Yasuhiro Daisho, D. Satoya, H. Takamori, R. Yokoyama

研究成果: Conference contribution

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 22014 12 5

Other

Other4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014
Malaysia
Kota Kinabalu, Sabah
期間14/12/214/12/5

Fingerprint

Electric vehicles
Gasoline
Control theory
Availability
Uncertainty

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering (miscellaneous)
  • Artificial Intelligence

これを引用

Yamashita, D., Daisho, Y., Satoya, D., Takamori, H., & Yokoyama, R. (2015). Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty. : Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014 (pp. 221-226). [7351838] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIET.2014.44

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

Yamashita, D, Daisho, Y, Satoya, D, Takamori, H & Yokoyama, R 2015, Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty. : Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014., 7351838, Institute of Electrical and Electronics Engineers Inc., pp. 221-226, 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014, Kota Kinabalu, Sabah, Malaysia, 14/12/2. https://doi.org/10.1109/ICAIET.2014.44
Yamashita D, Daisho Y, Satoya D, Takamori H, Yokoyama R. Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty. : 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 https://doi.org/10.1109/ICAIET.2014.44
Yamashita, D. ; Daisho, Yasuhiro ; Satoya, D. ; Takamori, H. ; Yokoyama, R. / Electric Vehicle Penetration Model Considering Policy Subsidy and Fuel Price Uncertainty. Proceedings - 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, ICAIET 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 221-226
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