Battery Management System for EV Mustang

Energy Storage course: practical exercise on the simulation of lithium ion batteries

📘💻 Computational modeling for the development of next-generation lithium-ion battery electrodes

This app is an ASE-base workflow used to reproduce a rational initial SEI morphology at the atomic scale by stochastically placing the crystal grains of the inorganic salts formed during the SEI's reaction.

Implementation of computationally-efficient physics-based mathematical models for a lithium ion battery management system.

Master's thesis project consisting in the development of a pipeline to segment and render tomography data of lithium-ion batteries during abuse testing.

This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).

This research presents a detailed analysis of the current state of lithium extraction and refinement, covering various sources such as brine pools, hard rock, recycled electronics, and coal ash. It outlines the specific methods employed, the capital investment required, and the main challenges faced in each process.

📊💡 Datasets, pipelines and predictions of a metric for benchmarking an extreme fast-charging of Li-ion battery electrode materials

Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health of batteries in electric vehicles.

MATBOX is an open-source MATLAB toolbox dedicated to microstructure analsyis of porous/heterogeneous materials

High Dimensional Regression Coefficient Analysis for Functional Data

This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) models along with optuna based hyperparameter tuning.

A robot car developed using Arduino that can operate in 3 modes - Manual, Automatic and Voice. The car is controlled wirelessly via Bluetooth with an android app developed using MIT App Inventor.

Structures obtained in the PRB article "NMR, x-ray and Mössbauer results for amorphous Li-Si alloys using density functional tight-binding method"

Efficiency, thermal, and sizing models for drone motors, controllers, and batteries.

Lithiation of amorphous silicon protocol

Safeguarding Against Counterfeit Batteries with Authentication

Safeguarding Against Counterfeit Batteries with Authentication