Parameter Estimation Method For Fractional Order PNGV Battery Model

Abstract Among the different types of batteries, Li-ion batteries are the most preferred type due to the performance and safety features they provide. Battery management systems are needed to get convenient performance from this kind of battery and to extend the life of batteries as much as possible. For this reason, an accurate battery model is required for a good battery management system. In this study, The Partnership for New Generation of Vehicles (PNGV) equivalent circuit battery model, which represents open circuit voltage changes, is taken as a basis and fractional order batteries models are created based on the PNGV equivalent circuit battery model. One of the most important subjects after creating the battery model is the determination of model parameters. At this stage, to make the problem simpler, the measured battery dataset is divided into sub-layers with a layered approach and the parameters are determined with analysis and data extractions on each sub-layer reflecting the different state of charge levels. This approach helped to obtain the accurate battery model with a steady state error of less than 5 mV and a transient error of less than 30 mV during each current pulse. Cite this article as: E. Balkiş and E. Düven, “Parameter estimation method for fractional order PNGV battery model,” Turk J Electr Power Energy Syst., 2024; 4(3), 142-150.

Authors

Publication Details

Journal
Turkish Journal of Electrical Power and Energy Systems
Published
2024-10-18
DOI
https://doi.org/10.5152/tepes.2024.24016
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parameter Estimation Method For Fractional Order PNGV Battery Model

Emre Balkış, Ekrem Düven
Turkish Journal of Electrical Power and Energy Systems
Advanced Battery Technologies Research
article

Parameter Estimation Method For Fractional Order PNGV Battery Model

Emre Balkış, Ekrem Düven
article en

Abstract

Abstract Among the different types of batteries, Li-ion batteries are the most preferred type due to the performance and safety features they provide. Battery management systems are needed to get convenient performance from this kind of battery and to extend the life of batteries as much as possible. For this reason, an accurate battery model is required for a good battery management system. In this study, The Partnership for New Generation of Vehicles (PNGV) equivalent circuit battery model, which represents open circuit voltage changes, is taken as a basis and fractional order batteries models are created based on the PNGV equivalent circuit battery model. One of the most important subjects after creating the battery model is the determination of model parameters. At this stage, to make the problem simpler, the measured battery dataset is divided into sub-layers with a layered approach and the parameters are determined with analysis and data extractions on each sub-layer reflecting the different state of charge levels. This approach helped to obtain the accurate battery model with a steady state error of less than 5 mV and a transient error of less than 30 mV during each current pulse. Cite this article as: E. Balkiş and E. Düven, “Parameter estimation method for fractional order PNGV battery model,” Turk J Electr Power Energy Syst., 2024; 4(3), 142-150.

Turkish Journal of Electrical Power and Energy SystemsVol. 4(3)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Parameter Estimation Method For Fractional Order PNGV Battery Model — Emre Balkış, Ekrem Düven · Turkish Journal of Electrical Power and Energy Systems (2024) | TGRS Research Map | TGRS