P2-013

Lithium-ion batteries (LIBs) with nickel-rich cathodes and silicon-graphite (SiC) anodes are expected to be deployed in the next generation electric vehicles (EV) due to their high specific energy density and price advantages. However, recent data from companies working at developing Si-rich anodes suggests that high-energy Si cells (>300 Wh kg−1) tend to present particularly low […]

P3-030

Numerous deficiencies of the conventional BMS impair the development of an efficient and long-life battery system. The information required for BMS is restricted either to measurement or indirect estimation. The latter might be erroneous due to the accumulated error in the measurement and over-simplified models to achieve high computational efficiency. In particular, the measurement is […]

P1-007

Lithium metal batteries (LMBs) are attractive for applications requiring high specific energy. There are still some hurdles to overcome on the way to the commercial application of LMBs. The main problems lie in the cycle stability of LMBs and safety concerns. This is due to heterogeneous lithium deposition, which may damage the separator and cause […]

P1-051

Carbon Matrix Optimization: A Key to Enhancing Sulfur-Carbon Cathode Performance in Solid-State Lithium-Sulfur Batteries Mahsa Hokmabadi1,2, Daniel Vogt1,2, Peter Michalowski1,2, Arno Kwade1,2 1 Institut für Partikeltechnik, TU Braunschweig, Volkmaroder Str. 5, 38104 Braunschweig 2 Battery LabFactory Braunschweig, TU Braunschweig, Langer Kamp 19, 38106 Braunschweig Solid-state lithium-sulfur batteries have been considered as a potentially remarkable development […]

P2-044

Estimating the State of Health (SOH) of Lithium-ion batteries is critical for ensuring their reliability and extending their operational lifespan. This poster presents a methodology to estimate SOH without requiring additional degradation experiments, leveraging the open NASA battery dataset to validate the approach. The study focuses on unsupervised domain adaptation to transfer trained knowledge effectively […]

P5-020

This poster presents an efficient method for the direct recycling of lithium iron phosphate (LFP) cathodes using aqueous delamination. The research investigates how this recycling approach influences the cathode material by submerging the electrodes in water at 80°C. This procedure enables rapid delamination within seconds without the need for mechanical energy input, providing a swift […]

P2-020

The high complexity of Li-ion battery behavior under extreme conditions limits the accuracy of conventional EECMs. This work explores enhancing EECMs using ML methods to capture nonlinear and dynamic relationships. With data from four cylindrical Li-ion cells (NCA, NMC, LFP), ML-supported EECMs claim improvement using advanced hybrid techniques like time series cross-validation and end-to-end concatenation.

P2-012

Understanding battery degradation is essential for accurate health diagnostics and long-term performance prediction. Degradation mode analysis (DMA), a non-destructive technique, leverages the voltage response, which reflects the cell’s thermodynamic equilibrium, to dissect aging mechanisms . Since DMA relies on accurate thermodynamic data, open circuit voltage (OCV) measurements provide the best representation of the cell’s intrinsic […]

P2-012

Understanding battery degradation is essential for accurate health diagnostics and long-term performance prediction. Degradation mode analysis (DMA), a non-destructive technique, leverages the voltage response, which reflects the cell’s thermodynamic equilibrium, to dissect aging mechanisms . Since DMA relies on accurate thermodynamic data, open circuit voltage (OCV) measurements provide the best representation of the cell’s intrinsic […]

P1-056

Compared to other SSB technologies, polymer-based systems offer high flexibility, low density, and cost-effectiveness, which makes them particularly appealing for scalable industrial production. However, challenges such as low ionic conductivity and high cycling temperatures must be addressed. A promising approach to overcome these challenges is the development of new polymer electrolytes, like Bt-PCL. This study […]