Popular GitHub Repositories for Battery

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

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).

Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems

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.

BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement

Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a noisy network dqn.

A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.

Tool to design and optimize autonomous vehicle concepts.

Proximal Policy Optimization with Model-Agnostic Meta-Learning for Battery Energy Storage System Management in a Multi-Microgrid

A replication of "Enhancing Battery Thermal Management With Virtual Temperature Sensor Using Hybrid CNN-LSTM"

Official source codes for implementing "Text-to-Battery Recipe: A language modeling-based protocol for automatic battery recipe extraction and retrieval"

AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.

:atom_symbol::robot: Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes

This repo contains the experimental data and Julia code to reproduce the figures and results shown in the article : Neural equivalent circuit models: Universal differential equations for battery modelling