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 language | English |
|---|---|
| Pages (from-to) | 551-558 |
| Number of pages | 8 |
| Journal | Sensors and Materials |
| Volume | 30 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Instrumentation
- Materials Science(all)
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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 journal › Article
TY - JOUR
T1 - Research on the prediction of the state-of-health of starting batteries of diesel engines
AU - Lin, Tung Chou
AU - Chen, Liang-Rui
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85044482261&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044482261&partnerID=8YFLogxK
U2 - 10.18494/SAM.2018.1825
DO - 10.18494/SAM.2018.1825
M3 - Article
AN - SCOPUS:85044482261
VL - 30
SP - 551
EP - 558
JO - Sensors and Materials
JF - Sensors and Materials
SN - 0914-4935
IS - 3
ER -