Detail publikačního výsledku

Comparative analysis of SVR and ANFIS methods for estimating SOH in lithium ion batteries

SEDLAŘÍK, M.; KAZDA, T.; CAPKOVÁ, D.; VYROUBAL, P.

Originální název

Comparative analysis of SVR and ANFIS methods for estimating SOH in lithium ion batteries

Anglický název

Comparative analysis of SVR and ANFIS methods for estimating SOH in lithium ion batteries

Druh

Abstrakt

Originální abstrakt

This paper compares two machine learning methods, Support Vector Regression (SVR) and Adaptive Neuro-Fuzzy Inference System (ANFIS), for estimating SVR parameters. The study was performed on two Samsung INR18650-35E batteries, subjected to 500 cycles using the Constant Current Constant Voltage (CCCV) method at ambient temperature. During this process, the batteries were charged and discharged at a constant rate of 0.5 C.

Anglický abstrakt

This paper compares two machine learning methods, Support Vector Regression (SVR) and Adaptive Neuro-Fuzzy Inference System (ANFIS), for estimating SVR parameters. The study was performed on two Samsung INR18650-35E batteries, subjected to 500 cycles using the Constant Current Constant Voltage (CCCV) method at ambient temperature. During this process, the batteries were charged and discharged at a constant rate of 0.5 C.

Klíčová slova

Support Vector Regression, Adaptive Neuro-Fuzzy Inference System, Li-ion

Klíčová slova v angličtině

Support Vector Regression, Adaptive Neuro-Fuzzy Inference System, Li-ion

Autoři

SEDLAŘÍK, M.; KAZDA, T.; CAPKOVÁ, D.; VYROUBAL, P.

Vydáno

02.09.2024

Místo

Padova

Kniha

International Symposium ob Beyond Li-Ion Batteries 2024

Edice

1

Strany počet

1

BibTex

@misc{BUT189543,
  author="Marek {Sedlařík} and Dominika {Capková} and Tomáš {Kazda} and Petr {Vyroubal}",
  title="Comparative analysis of SVR and ANFIS methods for estimating SOH in lithium ion batteries",
  booktitle="International Symposium ob Beyond Li-Ion Batteries 2024",
  year="2024",
  series="1",
  edition="1",
  pages="1",
  address="Padova",
  note="Abstract"
}