Citation link:
Authors:
Marinov, Marin B.; Ganev, Borislav; Todorov, Georgi; Ivanov, Ivan V.; Dimitrov, Dimitar
Title:
Experimental Set-up for Sensors Selection for Early Fault Detection in Innovative Modular Li-Ion Battery Systems Related to HELIOS H2020 Project
Date of Issue:
2022-09-13
Is Part of:
2022 XXXI International Scientific Conference Electronics (ET), Sozopol, Bulgaria
Citation:
DOI: 10.1109/ET55967.2022.9920307
Identifiers:
978-6654-9878-4 [isbn]
Type:
Article
Language:
eng
Subject:
BMS; gas sensor; lithium-ion battery; Battery charge measurement; Fault diagnosis; Sensor fusion
Abstract:
Lithium-ion batteries have already become a mainstream energy storage solution for many applications, especially for hybrid and electric vehicles (EV). Various malfunctions in the lithium-ion battery system (LIBS) can cause serious safety problems and significant performance determination. For the safe and efficient operation of LIBS, the development of advanced fault diagnosis technologies is becoming increasingly important. This paper presents an experimental setup for the acquisition of lithium-ion battery condition data. Different approaches for the early diagnosis and prediction of various LIBS faults are investigated. This will allows for investigation of the feasibility of using diverse types of gas sensors in large lithium-ion battery systems in addition to conventionally used battery monitoring tools.
Description:
The conference is by Technical University of Sofia, Faculty of Electronic Engineering and Technologies, Bulgaria, Delft University of Technology, the Netherlands, IEEE Bulgaria Section
The conference is organized within the framework "Days of Science of the Technical University of Sofia 2022"
Sponsors:
HELIOS H2020 Project
Проект HELIOS по Програма Н2020 на Европейската Комисия, Договор № 963646, НИС
при ТУ – София
Copyright:
Creative Commons - License-NonoCommercial-NoDerivs CC BY-NC-ND
