| Presentation | 2022-01-21 Lithium-ion Battery Internal Impedance Estimation and Evaluation of Deterioration Analysis Using Machine Learning Nishimura Yuichiro, Ito Hideaki, Fukui Masahiro, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Electrochemical Impedance Spectroscopy analysis is known to be effective as a conventional state analysis technique for lithium-ion batteries. However, long-term measurement is required in a constant temperature bath and a large-scale measuring instrument, and real-time measurement is difficult. Therefore, we aimed to measure in real time by improving the estimation of low frequency resistance by the least squares method to speed up the measurement and by making it possible without a constant temperature bath by temperature compensation. In addition, the accuracy of impedance estimation and the accuracy of deterioration analysis are evaluated by deterioration analysis by machine learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Lithium-ion battery / recursive least squares method / temperature compensation / machine learning |
| Paper # | NLP2021-90,MICT2021-65,MBE2021-51 |
| Date of Issue | 2022-01-14 (NLP, MICT, MBE) |
| Conference Information | |
| Committee | NLP / MICT / MBE / NC |
|---|---|
| Conference Date | 2022/1/21(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Takuji Kosaka(Chukyo Univ.) / Eisuke Hanada(Saga Univ.) / Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
| Vice Chair | Akio Tsuneda(Kumamoto Univ.) / Hirokazu Tanaka(Hiroshima City Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
| Secretary | Akio Tsuneda(Kagawa Univ.) / Hirokazu Tanaka(Sojo Univ.) / Daisuke Anzai(Yokohama National Univ.) / Junichi Hori(KISTEC) / Hiroshi Yamakawa(Osaka Electro-Communication Univ) |
| Assistant | Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) / Takahiro Ito(Hiroshima City Univ) / Kento Takabayashi(Okayama Pref. Univ.) / Takuya Nishikawa(National Cerebral and Cardiovascular Center Hospital) / Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems / Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Lithium-ion Battery Internal Impedance Estimation and Evaluation of Deterioration Analysis Using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Lithium-ion battery |
| Keyword(2) | recursive least squares method |
| Keyword(3) | temperature compensation |
| Keyword(4) | machine learning |
| 1st Author's Name | Nishimura Yuichiro |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ) |
| 2nd Author's Name | Ito Hideaki |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ) |
| 3rd Author's Name | Fukui Masahiro |
| 3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ) |
| Date | 2022-01-21 |
| Paper # | NLP2021-90,MICT2021-65,MBE2021-51 |
| Volume (vol) | vol.121 |
| Number (no) | NLP-335,MICT-336,MBE-337 |
| Page | pp.pp.71-76(NLP), pp.71-76(MICT), pp.71-76(MBE), |
| #Pages | 6 |
| Date of Issue | 2022-01-14 (NLP, MICT, MBE) |