Fast and flexible physics-based battery models in Python
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Feb 4, 2025 - Python
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battery-models
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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.
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Jun 19, 2024 - Python
Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems
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Sep 8, 2024 - Python
Tinkering on neural networks for battery modeling and agent-based operating adventures
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Jul 22, 2024 - Python
Redox flow battery electrochemical cycling models in Python
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Jun 26, 2024 - Python
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