A battery management system using nonlinear model predictive control for a hybrid electric vehicle

Kaijiang Yu, Masakazu Mukai, Taketoshi Kawabe

研究成果: 著書/レポートタイプへの貢献会議での発言

14 引用 (Scopus)

抜粋

This present paper introduces a battery management system using nonlinear model predictive control for a hybrid electric vehicle. This paper adds two new contributions to this field. First, the apparent relationship between the battery power and the future road load is addressed in the cost function of the fuel economy optimal control problem with a simplified hybrid electric vehicle energy management system model. Second, it examines quantitatively the effects of operating the engine along the best efficiency line of the engine with a continuously variable transmission using a commercially available hybrid electric vehicle energy management electronic control unit simulator. Effectiveness of the proposed algorithm is validated by the JSAE-SICE benchmark problem II simulator.

元の言語英語
ホスト出版物のタイトル7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings
ページ301-306
ページ数6
エディションPART 1
DOI
出版物ステータス出版済み - 10 24 2013
イベント7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Tokyo, 日本
継続期間: 9 4 20139 7 2013

出版物シリーズ

名前IFAC Proceedings Volumes (IFAC-PapersOnline)
番号PART 1
7
ISSN(印刷物)1474-6670

その他

その他7th IFAC Symposium on Advances in Automotive Control, AAC 2013
日本
Tokyo
期間9/4/139/7/13

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

これを引用

Yu, K., Mukai, M., & Kawabe, T. (2013). A battery management system using nonlinear model predictive control for a hybrid electric vehicle. : 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings (PART 1 版, pp. 301-306). (IFAC Proceedings Volumes (IFAC-PapersOnline); 巻数 7, 番号 PART 1). https://doi.org/10.3182/20130904-4-JP-2042.00015