Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine

Tung Chou Lin, Liang-Rui Chen

研究成果: Conference contribution

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 172017 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

Other2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017
國家China
城市Xiamen, Fujian
期間17-11-1717-11-20

指紋

Diesel engines
Health
Linear regression
Lead acid batteries
Electric potential
Prediction
Diesel engine
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

引用此文

Lin, T. C., & Chen, L-R. (2018). Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine. 於 A. D. K-T. Lam, S. D. Prior, & T-H. Meen (編輯), Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017 (頁 49-52). [8478810] (Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICE.2017.8478810
Lin, Tung Chou ; Chen, Liang-Rui. / Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine. 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. 頁 49-52 (Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017).
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title = "Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine",
abstract = "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.",
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Lin, TC & Chen, L-R 2018, Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine. 於 ADK-T Lam, SD Prior & T-H Meen (編輯), Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017., 8478810, Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017, Institute of Electrical and Electronics Engineers Inc., 頁 49-52, 2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017, Xiamen, Fujian, China, 17-11-17. https://doi.org/10.1109/ICICE.2017.8478810

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

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PY - 2018/10/1

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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.

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Lin TC, Chen L-R. Research on the prediction of State-of-Health (SOH) of starting-up battery of diesel engine. 於 Lam ADK-T, Prior SD, Meen T-H, 編輯, Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017. 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). https://doi.org/10.1109/ICICE.2017.8478810