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

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet


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.

Titel2021 International Conference on Electronics, Information, and Communication (ICEIC)
Anzahl der Seiten4
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)978-1-7281-9162-1
ISBN (elektronisch)978-1-7281-9161-4
PublikationsstatusErschienen - 31.01.2021
Veranstaltung20th International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju Shinhwa World, Jeju, Südkorea
Dauer: 31.01.202103.02.2021
Konferenznummer: 20