Reverse-engineering of rechargeable disposable vapes that include a small color TFT LCD (Raz/Kraze/etc.)
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Updated
May 6, 2025 - Python
Reverse-engineering of rechargeable disposable vapes that include a small color TFT LCD (Raz/Kraze/etc.)
cideMOD solves DFN physicochemical equations by Finite Element methods using FEniCS library. It enables doing physics-based battery simulations with a wide variety of use cases, from different drive cycles to studies of the SEI growth under storage conditions. Thermal and degradation models can be used to obtain more realistic predictions.
Neural ODE-based State of Charge (SOC) estimation for Li-ion batteries using the NASA Battery Dataset. Built as a weekend project to explore learned dynamics for battery modeling, with visualizations designed for engineering audiences.
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