Detail publikace

Estimation of Depth of Discharge of Li-ion Battery Using Neural Network

CIPÍN, R. TOMAN, M. PROCHÁZKA, P. PAZDERA, I.

Originální název

Estimation of Depth of Discharge of Li-ion Battery Using Neural Network

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the estimation of depth of discharge for Li-ion batteries. Estimation is based on the knowledge of discharging curves measured for discrete values of loading currents. The estimator of the depth of discharge is a form of feedforward neural network which is trained with the measured data of discharge curves. Accuracy of estimation of the depth of discharge is shown for arbitrary generated and measured loading characteristics, where the depth of discharge is estimated by the designed neural network and measured by using the Coulomb counting method.

Klíčová slova

Estimation; Li-ion, neural network

Autoři

CIPÍN, R.; TOMAN, M.; PROCHÁZKA, P.; PAZDERA, I.

Vydáno

8. 12. 2021

ISSN

1938-5862

Periodikum

ECS Transactions

Ročník

151

Číslo

1

Stát

Spojené státy americké

Strany od

541

Strany do

547

Strany počet

7

URL

https://iopscience.iop.org/article/10.1149/10501.0541ecst

BibTex

@inproceedings{BUT173089,
  author="Radoslav {Cipín} and Marek {Toman} and Petr {Procházka} and Ivo {Pazdera}",
  title="Estimation of Depth of Discharge of Li-ion Battery Using Neural Network",
  booktitle="ECS",
  year="2021",
  journal="ECS Transactions",
  volume="151",
  number="1",
  pages="541--547",
  doi="10.1149/10501.0541ecst",
  issn="1938-5862",
  url="https://iopscience.iop.org/article/10.1149/10501.0541ecst"
}