Publication detail

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

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

Original Title

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

Type

article in a collection out of WoS and Scopus

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.

Keywords

Li-ion, neural network

Authors

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

Released

22. 8. 2021

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-5975-5

Book

Advanced Batteries Accumulators and Fuel Cells - 22th ABAF

Edition

1

Edition number

1

Pages from

1

Pages to

3

Pages count

3

BibTex

@inproceedings{BUT173088,
  author="Radoslav {Cipín} and Marek {Toman} and Petr {Procházka} and Ivo {Pazdera}",
  title="Using Neural Network for Estimation of Li-ion Battery Depth of Discharge",
  booktitle="Advanced Batteries Accumulators and Fuel Cells - 22th ABAF",
  year="2021",
  series="1",
  number="1",
  pages="1--3",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-5975-5"
}