Paper Abstract and Keywords |
Presentation |
2022-01-21 16:25
Lithium-ion Battery Internal Impedance Estimation and Evaluation of Deterioration Analysis Using Machine Learning Nishimura Yuichiro, Ito Hideaki, Fukui Masahiro (Ritsumeikan Univ) NLP2021-90 MICT2021-65 MBE2021-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Lithium-ion battery / recursive least squares method / temperature compensation / machine learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 335, NLP2021-90, pp. 71-76, Jan. 2022. |
Paper # |
NLP2021-90 |
Date of Issue |
2022-01-14 (NLP, MICT, MBE) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLP2021-90 MICT2021-65 MBE2021-51 |
Conference Information |
Committee |
NLP MICT MBE NC |
Conference Date |
2022-01-21 - 2022-01-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2022-01-NLP-MICT-MBE-NC |
Language |
Japanese |
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) |
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Keyword(1) |
Lithium-ion battery |
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recursive least squares method |
Keyword(3) |
temperature compensation |
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machine learning |
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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 |
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Ritsumeikan University (Ritsumeikan Univ) |
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Speaker |
Author-1 |
Date Time |
2022-01-21 16:25:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2021-90, MICT2021-65, MBE2021-51 |
Volume (vol) |
vol.121 |
Number (no) |
no.335(NLP), no.336(MICT), no.337(MBE) |
Page |
pp.71-76 |
#Pages |
6 |
Date of Issue |
2022-01-14 (NLP, MICT, MBE) |
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