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a-machine-learning-pipeline-for-estimation-of-lithium-ion-battery-state-of-health

analysis_of_cap_degradation

A Python 3 implementation of capacity degradation analysis of lithium batteries under randomized use

android-vpn

VPN and video downloader for Android

basic-lib-thermal-model

basic time-domain thermal modeling of a charging lithium-ion battery

battdeg

Python package for predicting lithium-ion battery degradation using few cycles of usage.

battery-cost-model

Interactive model of cost sources for lithium-ion batteries, using Django + MySQL for full-stack web app development. See live demo at bit.ly/batterycost.

battery_soc_estimation

Battery state of charge estimation using kalman filter in Matlab

battery_thermal_monitoring

Core Temperature Modelling and Monitoring of Lithium-ion Battery in the Presence of Sensor Bias

batterymachinelearning

Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles

batterysafe

Lithium Ion battery safety

batterysimulator

Battery Simulator for Lithium-ion like battery

battsimpy

A python package for simulating Lithium-ion battery performance. Equivalent circuit, Single-Particle, and full Pseudo-2D models are available.

convolutional-neural-network-cnn-based-prediction-of-life-of-lithium-ion-battery

Capacity Estimation of Li-Ion batteries using Convolutional Neural Network(CNN)

coslib

CoSLIB is a continuum-scale lithium-ion battery modeling framework written in Python that utilizes FEniCS and FiPy for solving model PDE's.

cs361

lithium ion battery optimization

ct418650

Battery capacity tester for 4 individual 18650 Lithium cells.

cycle-life-model-for-graphite-lifepo4-cells

State of charge and state of health estimation of Li-ion battery

data-driven-end-of-life-prediction-for-lfp-cells

Here, I attempt to predict the performance/health and end of useful life of a lithium ion battery over a period of time/number of cycles both at a constant and variable temperature.

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

degradation-patterns-of-lithium-ion-batteries-from-impedance-spectroscopy

Implementation of Paper 'Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning' by Dr.Alpha Lee

dgfi-high-rate-lithium-ion-battery-anode-technology-for-fast-frequency-response-services

explicit-conversion-equivalent-circuits-eis

Explicit Conversion between different Equivalent Circuit Models for Electrochemical Impedance Analysis of Lithium-ion Batteries

facility-location-in-genetic-algorithm

This project use genetic algorithm to solve the facility location problem in matlab.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

finding-remaining-useful-life-of-a-battery-using-particle-filter

Capacity values of Lithium Ion Battery is used as a prognostic method in order to predict the remaining useful life of Lithium-ion batteries. The state space model for Lithium Ion Battery to access Capacity Degradation is constructed using standard particle filter . Once the state space model is determined, the extrapolations of the state space model to a specific failure threshold are performed to obtain the remaining useful life of the lithium-ion batteries

fittinggui

GUI for Fitting Models to measured Impedance Spectra with focus on Lithium Ion Batteries

fvbattpy

Finite Volume Newman Model of Lithium Ion Batteries written in Python using the FiPy library

ga-lp

ga for location problem

genetic-algorithm-for-facility-location-problem