Publication detail

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

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

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Estimation; Li-ion, neural network

Authors

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

Released

8. 12. 2021

ISBN

1938-5862

Periodical

ECS Transactions

Year of study

151

Number

1

State

United States of America

Pages from

541

Pages to

547

Pages count

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"
}