Sensors and Materials
ISSN 0914-4935

Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials,
Volume 30, Number 3(2) (2018)

Copyright(C) MYU K.K. All Rights Reserved.
pp. 551-558
S&M1517
https://doi.org/10.18494/SAM.2018.1825
Published: March 23, 2018

Research on the Prediction of the State-of-health of Starting Batteries of Diesel Engines [PDF]

Tung-Chou Lin and Liang-Ruei Chen

(Received November 12, 2017; Accepted December 19, 2017)

Keywords: state-of-health, AC impedance, sensing system, linear regression

A study of state-of-health (SOH) prediction for diesel engine generator starting batteries is presented, the main purpose of which is to analyze the battery’s state using the relationship between AC impedance and voltage. A sensing system capable of detecting battery open-circuit voltage and discharge current has been designed. The respective AC impedances at 100 and 50% battery SOH were obtained from a monitoring system, and linear regression was used to predict battery SOH. A new GS GTX7A-12B lead acid battery was used in the experiments and the results showed that there was a 11.265% difference between the actual battery SOH and that predicted by linear regression.

Corresponding author: Tung-Chou Lin


Cite this article
Tung-Chou Lin and Liang-Ruei Chen, Research on the Prediction of the State-of-health of Starting Batteries of Diesel Engines, Sens. Mater., Vol. 30, No. 3, 2018, p. 551-558.


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