摘要
This article is about the prediction of State of Health (SOH) of starting-up battery of diesel engine. It is mainly by means of the analysis of the correlation between AC impedance and voltage of the starting-up battery of the diesel engine. HUASU H3G-TA battery monitoring system is used to acquire data of AC impedance and battery voltage at 100% and 50% discharging status of State of Health (SOH). With the data base, linear regression method is used to predict the State of Health (SOH) of the starting-up battery of diesel engine. YUASA NP7-12 lead-acid battery is used in this experiment. In the end, 3.17548%-3.36106% deviations between the actual measured SOH data and the predicted values from the linear regression can be found and compared.
| 原文 | English |
|---|---|
| 主出版物標題 | Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering |
| 主出版物子標題 | Information and Innovation for Modern Technology, ICICE 2017 |
| 編輯 | Artde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| 頁面 | 49-52 |
| 頁數 | 4 |
| ISBN（電子） | 9781538632024 |
| DOIs | |
| 出版狀態 | Published - 2018 十月 1 |
| 事件 | 2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017 - Xiamen, Fujian, China 持續時間: 2017 十一月 17 → 2017 十一月 20 |
出版系列
| 名字 | Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017 |
|---|
Other
| Other | 2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017 |
|---|---|
| 國家 | China |
| 城市 | Xiamen, Fujian |
| 期間 | 17-11-17 → 17-11-20 |
指紋
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems and Management
引用此文
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Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine. / Lin, Tung Chou; Chen, Liang-Rui.
Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017. 編輯 / Artde Donald Kin-Tak Lam; Stephen D. Prior; Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2018. p. 49-52 8478810 (Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017).研究成果: Conference contribution
TY - GEN
T1 - Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine
AU - Lin, Tung Chou
AU - Chen, Liang-Rui
PY - 2018/10/1
Y1 - 2018/10/1
N2 - This article is about the prediction of State of Health (SOH) of starting-up battery of diesel engine. It is mainly by means of the analysis of the correlation between AC impedance and voltage of the starting-up battery of the diesel engine. HUASU H3G-TA battery monitoring system is used to acquire data of AC impedance and battery voltage at 100% and 50% discharging status of State of Health (SOH). With the data base, linear regression method is used to predict the State of Health (SOH) of the starting-up battery of diesel engine. YUASA NP7-12 lead-acid battery is used in this experiment. In the end, 3.17548%-3.36106% deviations between the actual measured SOH data and the predicted values from the linear regression can be found and compared.
AB - This article is about the prediction of State of Health (SOH) of starting-up battery of diesel engine. It is mainly by means of the analysis of the correlation between AC impedance and voltage of the starting-up battery of the diesel engine. HUASU H3G-TA battery monitoring system is used to acquire data of AC impedance and battery voltage at 100% and 50% discharging status of State of Health (SOH). With the data base, linear regression method is used to predict the State of Health (SOH) of the starting-up battery of diesel engine. YUASA NP7-12 lead-acid battery is used in this experiment. In the end, 3.17548%-3.36106% deviations between the actual measured SOH data and the predicted values from the linear regression can be found and compared.
UR - http://www.scopus.com/inward/record.url?scp=85056283670&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056283670&partnerID=8YFLogxK
U2 - 10.1109/ICICE.2017.8478810
DO - 10.1109/ICICE.2017.8478810
M3 - Conference contribution
AN - SCOPUS:85056283670
T3 - Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017
SP - 49
EP - 52
BT - Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering
A2 - Lam, Artde Donald Kin-Tak
A2 - Prior, Stephen D.
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
ER -