In this paper, an ML-enhanced testing procedure for li-ion batteries is proposed, which increases the efficiency of cycle life testing by stopping the cycling of a subset of batteries and predicting their end of lifes instead. Based on aging features and the Kennard-Stone algorithm, a suitable subset of batteries is selected, whose future aging trajectory can be predicted with high accuracy. The… [weiterlesen]

Here, we show that the voltage hold and the voltage decay methods deliver comparable results when determining the differential capacity with an incremental capacity analysis (ICA) instead of a single pulse for the voltage decay method. Both methods presented a good agreement for high temperatures and high SoC cases. In addition, with the end of charge point and end of discharge point slippage… [weiterlesen]

Die Publikation "Modeling Silicon-Dominant Anodes: Parametrization, Discussion and Validation of a Newman-Type Model" wurde Mitte November im Journal "Batteries" veröffentlicht. Autoren sind Axel Durdel, Sven Friedrich, Lukas Hüsken und Andreas Jossen. Der Artikel thematisiert die elektrochemische Modellierung und Parametrierung von silizium-dominanten Anoden. Dabei wird die Literatur… [weiterlesen]

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In this paper, an ML-enhanced testing procedure for li-ion batteries is proposed, which increases the efficiency of cycle life testing by stopping the cycling of a subset of batteries and predicting their end of lifes instead. Based on aging features and the Kennard-Stone algorithm, a suitable subset of batteries is selected, whose future aging trajectory can be predicted with high accuracy. The… [weiterlesen]

Weihnachtliches TUM.Hydrogen and PtX Netzwerk Arbeitstreffen am APT [weiterlesen]