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J-GLOBAL ID:202302231679562789   Reference number:23A0791888

A Novel Prediction Process of the Remaining Useful Life of Electric Vehicle Battery Using Real-World Data

実世界データを用いた電気自動車電池の残存寿命の新しい予測プロセス【JST・京大機械翻訳】
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Volume:Issue: 12  Page: 2174  Publication year: 2021 
JST Material Number: U7264A  ISSN: 2227-9717  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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In modern society, environment...
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Secondary batteries  ,  Electric vehicles 
Reference (48):
  • Vetter, J.; Novák, P.; Wagner, M.R.; Veit, C.; Möller, K.C.; Besenhard, J.O.; Winter, M.; Wohlfahrt-Mehrens, M.; Vogler, C.; Hammouche, A. Ageing mechanisms in lithium-ion batteries. J. Power Sources 2005, 147, 269-281.
  • Xing, Y.; Ma, E.W.M.; Tsui, K.L.; Pecht, M. Battery Management Systems in Electric and Hybrid Vehicles. Energies 2011, 4, 1840-1857.
  • Pattipati, B.; Sankavaram, C.; Pattipati, K.R. System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics. IEEE Trans. Syst. Man Cybern. Part C 2011, 41, 869-884.
  • Finger, E.P.; Marwell, E.M. Battery Control System for Battery Operated Vehicles. U.S. Patent 4,012,681, 1 September 1977.
  • Chiang, Y.H.; Sean, W.Y.; Ke, J.C. Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles. J. Power Sources 2011, 196, 3921-3932.
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