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PHAM, N.; SADILEK, O.; LEUCHTER, J.
Originální název
Parameterization of Traction Battery Models for Performance Evaluation in Ecological Rail Transport
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper presents the results in analyzing LTO and NMC traction batteries used on railways. The parameters of equivalent electrical circuits used in simulation calculations are determined. The aim was to show the procedure for building an equivalent model of LTO and NMC batteries based on the principles of mathematical modeling integrating the results obtained by real measurements on batteries. The presented model uses the principle of the Thevenin model combined with a mathematical model that represents battery's OCV as a function integrating the battery state and capacity. The automated measurement we have built for automatically obtaining the parameters of the Thevenin battery model is presented. The simulated results are compared with the results obtained experimentally on LTO and NMC batteries, which are subsequently combined in the process of modeling the electric battery drive using the Thevenin model. The resulting model is further used for analyses in locomotive electric drive systems in accordance with the principles of the Green-Deal objectives.
Anglický abstrakt
Klíčová slova
LTO; Modelling; Genetic Algorithms
Klíčová slova v angličtině
Autoři
Vydáno
06.05.2025
Nakladatel
Mesago PCIM GmbH
Místo
Nuremberg
ISBN
9783800765416
Kniha
Conference Proceedings
Strany od
1692
Strany do
1700
Strany počet
9
URL
https://www.scopus.com/pages/publications/105013843319
BibTex
@inproceedings{BUT198760, author="Ngoc Nam {Pham} and Ondrej {Sadilek} and Jan {Leuchter}", title="Parameterization of Traction Battery Models for Performance Evaluation in Ecological Rail Transport", booktitle="Conference Proceedings", year="2025", pages="1692--1700", publisher="Mesago PCIM GmbH", address="Nuremberg", doi="10.30420/566541222", isbn="9783800765416", url="https://www.scopus.com/pages/publications/105013843319" }