Paper Abstract and Keywords |
Presentation |
2021-10-14 10:00
Study on Improvement of Accuracy of Lithium-ion Battery Charge Rate Estimation Using Kalman filter Keiichirou Suzuki, Syuusei Ota, Takahiro Siohara, Masahiro Fukui (Ritsumeikan Univ.) CAS2021-17 NLP2021-15 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, decarbonization has been promoted due to environmental concerns. Therefore, the demand for lithium-ion batteries is increasing for use in electric vehicles and electricity storage. In order to use lithium-ion batteries, it is important to understand state of charge(SOC). The Kalman filter is often used to estimate the SOC. The Kalman filter estimates the changing internal state of the battery and corrects the estimated internal state from the observed values to obtain a highly accurate estimation. But, the conventional method does not give good results when the open circuit voltage (OCV) variation is small compared to the SOC variation, such as in lithium-ion batteries using iron olivine as the positive electrode. In this study, we aim to solve these problems and improve the accuracy of SOC estimation for lithium-ion batteries. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Lithium-ion battery / SOC estimation / Kalman filter / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 196, CAS2021-17, pp. 1-6, Oct. 2021. |
Paper # |
CAS2021-17 |
Date of Issue |
2021-10-07 (CAS, NLP) |
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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CAS2021-17 NLP2021-15 |
Conference Information |
Committee |
CAS NLP |
Conference Date |
2021-10-14 - 2021-10-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
CAS |
Conference Code |
2021-10-CAS-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Study on Improvement of Accuracy of Lithium-ion Battery Charge Rate Estimation Using Kalman filter |
Sub Title (in English) |
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Keyword(1) |
Lithium-ion battery |
Keyword(2) |
SOC estimation |
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Kalman filter |
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1st Author's Name |
Keiichirou Suzuki |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Syuusei Ota |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
3rd Author's Name |
Takahiro Siohara |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
4th Author's Name |
Masahiro Fukui |
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Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-10-14 10:00:00 |
Presentation Time |
25 minutes |
Registration for |
CAS |
Paper # |
CAS2021-17, NLP2021-15 |
Volume (vol) |
vol.121 |
Number (no) |
no.196(CAS), no.197(NLP) |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2021-10-07 (CAS, NLP) |