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

Tung Chou Lin, Liang Ruei 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

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All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

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