Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Concept of a cloud state modeling system for lead-acid batteries : Theory and prototyping. / Kortmann, Felix; Brieske, Daniel; Piekarek, Pia; Eckstein, Julian; Warnecke, Alexander; Drews, Paul; Sauer, Dirk Uwe.

2021 International Conference on Electronics, Information, and Communication (ICEIC). Piscataway : IEEE - Institute of Electrical and Electronics Engineers Inc., 2021. 9369785 (International Conference on Electronics, Information, and Communication, ICEIC ; Vol. 2021).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Kortmann, F, Brieske, D, Piekarek, P, Eckstein, J, Warnecke, A, Drews, P & Sauer, DU 2021, Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping. in 2021 International Conference on Electronics, Information, and Communication (ICEIC)., 9369785, International Conference on Electronics, Information, and Communication, ICEIC , vol. 2021, IEEE - Institute of Electrical and Electronics Engineers Inc., Piscataway, 20th International Conference on Electronics, Information, and Communication, ICEIC 2021, Jeju, Korea, Republic of, 31.01.21. https://doi.org/10.1109/ICEIC51217.2021.9369785

APA

Kortmann, F., Brieske, D., Piekarek, P., Eckstein, J., Warnecke, A., Drews, P., & Sauer, D. U. (2021). Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping. In 2021 International Conference on Electronics, Information, and Communication (ICEIC) [9369785] (International Conference on Electronics, Information, and Communication, ICEIC ; Vol. 2021). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEIC51217.2021.9369785

Vancouver

Kortmann F, Brieske D, Piekarek P, Eckstein J, Warnecke A, Drews P et al. Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping. In 2021 International Conference on Electronics, Information, and Communication (ICEIC). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc. 2021. 9369785. (International Conference on Electronics, Information, and Communication, ICEIC ). https://doi.org/10.1109/ICEIC51217.2021.9369785

Bibtex

@inbook{67bfc82658a742f5aeb511414beb1103,
title = "Concept of a cloud state modeling system for lead-acid batteries: Theory and prototyping",
abstract = "Lead-acid batteries are still the cash cow in the market of energy storage systems. Use in vehicles will continue in the next years due to several advantages over competing products. Despite the high level of maturity of Lead-Acid Batteries (LABs), the Lead-Acid Battery (LAB) is with 40% by far the largest cause of short-term vehicle breakdowns. This is primarily not due to defective products, but rather to over-aged or deeply discharged batteries. The complex aging characteristics of lead-acid batteries do not allow the health status of a battery to be easily detected, which increases the probability of short-term failures. Our paper presents a solution of monitoring the current health status of a battery and discusses modeling opportunities in a cloud as a digital twin to predict breakdowns in the future. We present both, a Low Power Wide Area Network (LPWAN) based monitoring prototype and theory for state modeling and prediction.",
keywords = "Battery Management System, Electrochemical Impedance Spectroscopy, Intelligent Battery Sensor, Monitoring, Informatics, Business informatics",
author = "Felix Kortmann and Daniel Brieske and Pia Piekarek and Julian Eckstein and Alexander Warnecke and Paul Drews and Sauer, {Dirk Uwe}",
year = "2021",
month = jan,
day = "31",
doi = "10.1109/ICEIC51217.2021.9369785",
language = "English",
isbn = "978-1-7281-9162-1",
series = "International Conference on Electronics, Information, and Communication, ICEIC ",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Conference on Electronics, Information, and Communication (ICEIC)",
address = "United States",
note = "20th International Conference on Electronics, Information, and Communication, ICEIC 2021, ICEIC2021 ; Conference date: 31-01-2021 Through 03-02-2021",
url = "http://iceic.org/2021/",

}

RIS

TY - CHAP

T1 - Concept of a cloud state modeling system for lead-acid batteries

T2 - 20th International Conference on Electronics, Information, and Communication, ICEIC 2021

AU - Kortmann, Felix

AU - Brieske, Daniel

AU - Piekarek, Pia

AU - Eckstein, Julian

AU - Warnecke, Alexander

AU - Drews, Paul

AU - Sauer, Dirk Uwe

N1 - Conference code: 20

PY - 2021/1/31

Y1 - 2021/1/31

N2 - Lead-acid batteries are still the cash cow in the market of energy storage systems. Use in vehicles will continue in the next years due to several advantages over competing products. Despite the high level of maturity of Lead-Acid Batteries (LABs), the Lead-Acid Battery (LAB) is with 40% by far the largest cause of short-term vehicle breakdowns. This is primarily not due to defective products, but rather to over-aged or deeply discharged batteries. The complex aging characteristics of lead-acid batteries do not allow the health status of a battery to be easily detected, which increases the probability of short-term failures. Our paper presents a solution of monitoring the current health status of a battery and discusses modeling opportunities in a cloud as a digital twin to predict breakdowns in the future. We present both, a Low Power Wide Area Network (LPWAN) based monitoring prototype and theory for state modeling and prediction.

AB - Lead-acid batteries are still the cash cow in the market of energy storage systems. Use in vehicles will continue in the next years due to several advantages over competing products. Despite the high level of maturity of Lead-Acid Batteries (LABs), the Lead-Acid Battery (LAB) is with 40% by far the largest cause of short-term vehicle breakdowns. This is primarily not due to defective products, but rather to over-aged or deeply discharged batteries. The complex aging characteristics of lead-acid batteries do not allow the health status of a battery to be easily detected, which increases the probability of short-term failures. Our paper presents a solution of monitoring the current health status of a battery and discusses modeling opportunities in a cloud as a digital twin to predict breakdowns in the future. We present both, a Low Power Wide Area Network (LPWAN) based monitoring prototype and theory for state modeling and prediction.

KW - Battery Management System

KW - Electrochemical Impedance Spectroscopy

KW - Intelligent Battery Sensor

KW - Monitoring

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85102967650&partnerID=8YFLogxK

U2 - 10.1109/ICEIC51217.2021.9369785

DO - 10.1109/ICEIC51217.2021.9369785

M3 - Article in conference proceedings

AN - SCOPUS:85102967650

SN - 978-1-7281-9162-1

T3 - International Conference on Electronics, Information, and Communication, ICEIC

BT - 2021 International Conference on Electronics, Information, and Communication (ICEIC)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway

Y2 - 31 January 2021 through 3 February 2021

ER -