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  • Summary & Details

Life-Extension Control for Second-Life EV Battery Systems

車載電池二次利用システムの長寿命化制御

Detailed Information

Author(J)1) 楊 殿宇, 2) 伊沢 理加, 3) 永野 弘起, 4) 石丸 淳一, 5) 小川 明宏, 6) 瀬尾 宣英, 7) 村重 和宏, 8) 宇都宮 隆, 9) 藤川 叶夢, 10) 和田 信敬
Author(E)1) Tenyu Yan, 2) Rika Isawa, 3) Hiroki Nagano, 4) Junichi Ishimaru, 5) Akihiro Ogawa, 6) Nobuhide Seo, 7) Kazuhiro Murashige, 8) Takashi Utsunomiya, 9) Tomu Fujikawa, 10) Nobutaka Wada
Affiliation(J)1) マツダ, 2) マツダ, 3) マツダ, 4) 中国電力, 5) 中国電力, 6) 広島大学, 7) 広島大学, 8) 広島大学, 9) 広島大学, 10) 広島大学
Affiliation(E)1) Mazda, 2) Mazda, 3) Mazda, 4) The Chugoku Electric Power, 5) The Chugoku Electric Power, 6) Hiroshima University, 7) Hiroshima University, 8) Hiroshima University, 9) Hiroshima University, 10) Hiroshima University
Abstract(J)車載用電池の二次利用は環境負荷低減の観点から期待されるが,複数電池で構成される二次利用システムでは電池劣化のばらつきにより最短寿命電池が全体寿命を制約する.本研究では劣化モデルに基づくモデル予測制御(MPC)による電力配分制御を構築し,外部電力要求を満足しつつシステム寿命を延長する手法を提案する.

Translation

Abstract(E)Second-life utilization of automotive batteries is expected to reduce environmental impacts; however, in stationary second-life battery systems composed of multiple batteries, degradation variability causes the battery with the shortest lifetime to constrain overall system longevity. This study develops a power allocation control scheme based on model predictive control (MPC) incorporating degradation models. The proposed method satisfies external power demands while mitigating degradation imbalance and extending system service life. Its effectiveness is demonstrated through experimental validation and simulation.

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