ハイブリッド鉄道車両の充放電制御に向けた強化学習モデルの構築
Author:
Affiliation:
1. Department of Electrical Engineering and Bioscience, Faculty of Science and Engineering, Waseda University
2. Railway Technical Research Institute
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering
Link
https://www.jstage.jst.go.jp/article/ieejias/143/5/143_417/_pdf
Reference21 articles.
1. (1) N. Shiraki and K. Kondo: “Evaluation of Design Method for Engine output and Battery Capacity for Lithium Ion-Battery Hybrid Diesel Railway Vehicles”, IEEJ Transactions on Industry Applications, Vol. 132, No. 2, pp. 178-184 (2012) (in Japanese)
2. 白木直樹・近藤圭一郎：「ディーゼルエンジンーリチウムイオン電池ハイブリッド気動車のエンジン・電池容量設計法とその評価」, 電学論D, Vol. 132, No. 2, pp. 178-184 (2012)
3. (2) A. Takakusaki, H. Sonoda, Y. Kouno, M. Shimada, and R. Oishi: “Development of the Optimal Charge and Discharge Control for Diesel Hybrid Train under High Operational Load”, IEEJ Transactions on Industry Applications, Vol. 138, No. 4, pp. 340-345 (2018) (in Japanese)
4. 高草木敦理・薗田秀樹・河野洋一・嶋田基己・大石亨一：「運用負荷が大きいディーゼルハイブリッド車における最適充放電制御の開発」, 電学論D, Vol. 138, No. 4, pp. 340-345 (2018)
5. (3) X. Hu, T. Liu, X. Qi, and M. Barth: “Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects”, IEEE Industrial Electronics Magazine, Vol. 13, No. 3, pp. 16-25 (2019)
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