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

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Authors

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.

Original languageEnglish
Title of host publication2021 International Conference on Electronics, Information, and Communication (ICEIC)
Number of pages4
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date31.01.2021
Article number9369785
ISBN (print)978-1-7281-9162-1
ISBN (electronic)978-1-7281-9161-4
DOIs
Publication statusPublished - 31.01.2021
Event20th International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju Shinhwa World, Jeju, Korea, Republic of
Duration: 31.01.2021 → 03.02.2021
Conference number: 20
http://iceic.org/2021/

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Aligning Experimentation with Product Operations: A Taxonomy for Structuring Experimentation Teams

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Digital leadership routines: Understanding the role of artifacts in digital leadership development

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Research output: Journal contributions › Journal articles › Research › peer-review

Govern Like You Mean It: Embedding Data Ethics Practices within Data Governance

Richter, K., Zimmer, M. P. & Drews, P., 2025, AMCIS 2025 Proceedings. Atlanta: AIS eLibrary, 10 p. 1265. (The AMCIS proceedings series; vol. 2025).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI

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