galpynostatic
Battery predictor
Predicts optimal conditions for fast-charging lithium-ion batteries using physics-based and data-driven models.
A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries
9 stars
1 watching
2 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
batterydata-drivenfast-chargingheuristic-algorithmmetricsphysics-basedpredictionsregression-models
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tri-amdd/beep | A toolset for evaluating battery life and predicting cycle end points based on simulation models and experimental data | 132 |
 samuel-buteau/universal-battery-database | A software framework for managing and analyzing Lithium-ion cell data using machine learning and physics-based approaches | 79 |
 fzj-iek3-vsa/bslib | A Python library for simulating battery storages and analyzing their performance based on real-world data from the PerMod database. | 10 |
 jepegit/cellpy | A Python package that assists in analyzing data from electrochemical tests of batteries and cells | 88 |
 pybop-team/pybop | Tools and methods for parameterizing and optimizing battery models using Bayesian and frequentist approaches | 79 |
 alterwl/battery_soc_estimation | A tool for estimating the state of charge of lithium-ion batteries using Kalman filters | 317 |
 bradyplanden/liibra.jl | A Julia package for creating and simulating reduced-order models of lithium-ion batteries using realisation algorithms | 32 |
 wanbin-song/batterymachinelearning | This project provides an implementation of machine learning-based Lithium-Ion battery capacity estimation using multi-channel charging profiles. | 72 |
 pybamm-team/liionpack | A tool for simulating battery pack behavior in one dimension using the PyBaMM framework | 90 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
| pybamm-team/pybamm | A software framework for simulating complex battery models with high performance and flexibility. | 1,135 |
 microsoft/batteryml | A tool to analyze and predict battery degradation through machine learning on historical data | 517 |
 battery-intelligence-lab/slide | A C++ simulator for lithium-ion battery degradation with customizable degradation models and various simulation options. | 116 |
 batterysim/equiv-circ-model | An equivalent circuit model for simulating battery behavior in electric vehicles | 100 |
 immm-sfa/tell | A Python package to predict future hourly electricity loads based on weather and climate changes | 26 |