Popular GitHub Repositories for Ev Charging

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).

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

Python code that allows for a full AI chat assistant experience with a Lego Mindstorms Robotic Head. This includes vision.

Improving scalability of RL algorithms using GNNs: A case study in optimal EV charging.

Physics-Informed Reinforcement Learning for Smart V2G EV Charging and Distribution Network Voltage Support.

A Comparative Study of Multi-Objective and Neuroevolutionary-based Reinforcement Learning Algorithms for Optimizing Electric Vehicle Charging and Load Management

This is the repo for my master thesis: Exploring Reinforcement Learning Solutions for EV-Aware Optimal Power Flow under Uncertainty

Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems

A Raspberry Pi with PiCam and object detection accelerated by Edge TPU commands a Lego Mindstorms EV3 robot.

Scalable Network-Based RL Environment for High-Level EV Natural Disaster Response Simulation

Automate docking of robots into their charging stations using machine learning.

The EV Smart Charging Bot is a Telegram-based assistant that helps EV owners find the most cost-effective and eco-friendly charging times by analyzing real-time electricity prices and emissions. It leverages machine learning and natural language processing for personalized, intelligent recommendations.

A working proof-of-concept for drones that recharge via ambient energy and wireless checkpoints—no cables, no downtime. IX-T demonstrates sustainable autonomy through physics-backed hardware, intelligent pathing, and real-world feasibility. Built to inspire replication and progress.

A multi-node LangGraph-based agent pipeline that generates, evaluates, critiques, and improves LLM prompts dynamically using Groq's blazing-fast LLaMA 3.1 8B model.

This project is an AGV (Automated Guided Vehicle) path planning simulator using Pygame. Users can click on a location to set different path types (Turning, Idle, Normal, Charging), place an AGV, and move it along selected paths. The simulation runs on a clean map instead of a grid.

AI-powered support system for EV charging stations with LangGraph orchestration, multi-provider LLM support, and voice interface through VAPI integration for phone calling. This system allows users to check station status, reboot charging stations, and get assistance through text or voice interactions.

Machine learning pipeline for equity research with neural EBIT prediction, EBIT/EV-based portfolio optimization, and backtesting via a Streamlit interface.

End-to-end MLOps pipeline for predicting EV battery health. Includes MLflow tracking, FastAPI serving, and Docker deployment.

(1) estimar probabilidades de que el take‑profit se alcance antes que el stop‑loss en un horizonte de 3 velas, (2) calibrar esas probabilidades para que reflejen frecuencia observada y (3) decidir con un umbral basado en valor esperado (EV)

一个强大的服务器端程序，用于管理电动汽车(EV)充电站、行程规划和资源管理。该服务器提供了一套全面的电动汽车相关服务的工具和API。