Academic Journal
State of charge classification for lithium-ion batteries using impedance based features
| العنوان: | State of charge classification for lithium-ion batteries using impedance based features |
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| المؤلفون: | M. P. Felder, J. Götze |
| المصدر: | Advances in Radio Science, Vol 15, Pp 93-97 (2017) |
| بيانات النشر: | Copernicus Publications |
| سنة النشر: | 2017 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | Currently, the electrification of the drive train of passenger cars takes place, and the task of obtaining precise knowledge about the condition of the on board batteries gains importance. Due to a flat open circuit voltage (OCV) to state of charge (SoC) characteristic of lithium ion batteries, methods employed in applications with other cell chemistries cannot be adapted. Exploiting the higher significance of the impedance for state estimation for that chemistry, new impedance based features are proposed by this work. To evaluate the suitability of these features, simulations have been conducted using a simplified on-board power supply net as excitation source. The simulation outcome has been investigated regarding the cross correlation factor r x y and in a polynomial regression scenario. The results of the simulations show a best case error below 1 % SoC, which is 3 percentage points lower than using terminal voltage and impedance. When increasing the measurement uncertainty, the difference remains around 2 percent points. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | German English |
| تدمد: | 1684-9965 1684-9973 |
| Relation: | https://www.adv-radio-sci.net/15/93/2017/ars-15-93-2017.pdf; https://doaj.org/toc/1684-9965; https://doaj.org/toc/1684-9973; https://doaj.org/article/0ca0d374f46946258c5f293d8ed561cb |
| DOI: | 10.5194/ars-15-93-2017 |
| الاتاحة: | https://doi.org/10.5194/ars-15-93-2017 https://doaj.org/article/0ca0d374f46946258c5f293d8ed561cb |
| رقم الانضمام: | edsbas.3C022736 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 16849965 16849973 |
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| DOI: | 10.5194/ars-15-93-2017 |