Research on the prediction of the state-of-health of starting batteries of diesel engines

Tung Chou Lin, Liang-Rui Chen

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)551-558
Number of pages8
JournalSensors and Materials
Volume30
Issue number3
DOIs
Publication statusPublished - 2018 Jan 1

Fingerprint

diesel engines
health
Diesel engines
electric batteries
Health
predictions
Linear regression
Lead acid batteries
regression analysis
alternating current
Open circuit voltage
impedance
lead acid batteries
open circuit voltage
Monitoring
Electric potential
generators
Experiments
electric potential

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

Cite this

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abstract = "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.",
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Research on the prediction of the state-of-health of starting batteries of diesel engines. / Lin, Tung Chou; Chen, Liang-Rui.

In: Sensors and Materials, Vol. 30, No. 3, 01.01.2018, p. 551-558.

Research output: Contribution to journalArticle

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