State of charge and state of health diagnosis of batteries with voltage-controlled models
- The accurate diagnosis of state of charge (SOC) and state of health (SOH) is of utmost importance for battery users and for battery manufacturers. State diagnosis is commonly based on measuring battery current and using it in Coulomb counters or as input for a current-controlled model. Here we introduce a new algorithm based on measuring battery voltage and using it as input for aThe accurate diagnosis of state of charge (SOC) and state of health (SOH) is of utmost importance for battery users and for battery manufacturers. State diagnosis is commonly based on measuring battery current and using it in Coulomb counters or as input for a current-controlled model. Here we introduce a new algorithm based on measuring battery voltage and using it as input for a voltage-controlled model. We demonstrate the algorithm using fresh and pre-aged lithium-ion battery single cells operated under well-defined laboratory conditions on full cycles, shallow cycles, and a dynamic battery electric vehicle load profile. We show that both SOC and SOH are accurately estimated using a simple equivalent circuit model. The new algorithm is self-calibrating, is robust with respect to cell aging, allows to estimate SOH from arbitrary load profiles, and is numerically simpler than state-of-the-art model-based methods.…
Document Type: | Article (reviewed) |
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Zitierlink: | https://opus.hs-offenburg.de/6049 | Bibliografische Angaben |
Title (English): | State of charge and state of health diagnosis of batteries with voltage-controlled models |
Author: | Jonas A. BraunStaff MemberORCiD, René BehmannORCiDGND, David SchmiderStaff MemberORCiD, Wolfgang G. BesslerStaff MemberORCiDGND |
Year of Publication: | 2022 |
Date of first Publication: | 2022/10/01 |
Publisher: | Elsevier |
First Page: | 1 |
Last Page: | 11 |
Article Number: | 231828 |
Parent Title (English): | Journal of Power Sources |
Volume: | 544 |
ISSN: | 0378-7753 (Print) |
ISSN: | 1873-2755 (eISSN) |
DOI: | https://doi.org/10.1016/j.jpowsour.2022.231828 |
URL: | https://www.sciencedirect.com/science/article/pii/S0378775322008175?via%3Dihub |
Language: | English | Inhaltliche Informationen |
Institutes: | Forschung / INES - Institut für nachhaltige Energiesysteme |
Fakultät Maschinenbau und Verfahrenstechnik (M+V) | |
DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |
Tag: | batteries; charge; voltage | Formale Angaben |
Relevance: | Wiss. Zeitschriftenartikel reviewed: Listung in Master Journal List |
Open Access: | Open Access |
Diamond | |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |