Paper Abstract and Keywords |
Presentation |
2017-03-03 09:25
A precise state-of-charge estimation system of primary battery for IoT devices Hirofumi Shioura, Naoki Yoshida, Lei Lin, Masahiro Fukui (Ritsumeikan Univ.) VLD2016-123 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Due to the spread of portable devices, small primary batteries are used in various places. Due to the attention of IoT, demand for small primary batteries is expected in the future, and there is a need to know the accurate timing of battery replacement. However, state-of-charge varies depending on the usage situation and temperature, and it is difficult to know state-of-charge with high accuracy. Therefore, we are developing a highly accurate battery charge estimation system considering various conditions. In this paper, we describe the implementation of the method for estimating the state-of-charge of primary battery using the recursive least squares method. Compared with the remaining amount estimation method by the current integration method, the accuracy is evaluated. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
primary battery / current integration method / recursive least squares method / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 478, VLD2016-123, pp. 115-120, March 2017. |
Paper # |
VLD2016-123 |
Date of Issue |
2017-02-22 (VLD) |
ISSN |
Print edition: ISSN 0913-5685 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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VLD2016-123 |
Conference Information |
Committee |
VLD |
Conference Date |
2017-03-01 - 2017-03-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Seinen Kaikan |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
VLD |
Conference Code |
2017-03-VLD |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A precise state-of-charge estimation system of primary battery for IoT devices |
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primary battery |
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current integration method |
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recursive least squares method |
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1st Author's Name |
Hirofumi Shioura |
1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
2nd Author's Name |
Naoki Yoshida |
2nd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
3rd Author's Name |
Lei Lin |
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 |
2017-03-03 09:25:00 |
Presentation Time |
25 minutes |
Registration for |
VLD |
Paper # |
VLD2016-123 |
Volume (vol) |
vol.116 |
Number (no) |
no.478 |
Page |
pp.115-120 |
#Pages |
6 |
Date of Issue |
2017-02-22 (VLD) |
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