On-Line Monitoring of Capacity Fade in Lithium-Ion Batteries

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概要

• 論文の詳細を見る

• Estimation algorithms to measure the actual performance of a lithium-ion battery are presented for real-time online monitoring. Capacity was selected as the representative variable indicating the performance of the battery. Three algorithms were suggested to estimate the degree of capacity fading: principal algorithm, supplementary algorithm, and hybridized algorithm. The principal algorithm was based on a simplified equivalent circuit model and a soft sensor technique. The soft sensor technique was based on a system identification methodology with moving horizon estimation. The supplementary algorithm was developed to compensate for the problem of computational load. Finally, both the algorithms were combined to develop a complementary hybridized algorithm. The suitability of the algorithms was demonstrated with real-time online monitoring of fresh and aged cells using cyclic experiments.

• Society of Chemical Engineers, Japanの論文

著者

• JEONG Hyeonseok

  School of Chemical & Biological Engineering, Seoul National University

• CHO Sungwoo

  School of Chemical & Biological Engineering, Seoul National University

• Lim Jae

  SK Innovation Global Technology

• Oh Jeonkeun

  SK Innovation Global Technology

• HAN Chonghun

  School of Chemical & Biological Engineering, Seoul National University

• Cho Sungwoo

  School of Chemical and Biological Engineering, Seoul National University

• Jeong Hyeonseok

  School of Chemical and Biological Engineering, Seoul National University

• Jin Shanshan

  SK Innovation Global Technology

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• On-Line Monitoring of Capacity Fade in Lithium-Ion Batteries

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