SteVe - OCPP server implementation in Java. Your trusted open-source EV charging station management system since 2013. Used by CPOs, manufacturers and developers worldwide. Managed cloud →

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

A Decision Transformer for solving optimal EV charging problems using offline data.

Eveus (Energy Star) EVSE Home Assistant Custom Integration (HACS)

Site level energy system optimization model toolbox for investigations of EV fleet integration and management strategies

This repository contains code connected to my master's thesis, "Power Peak Shaving: How to Schedule Charging of Electric Vehicles and Organize Mutually Beneficial Vehicle to Grid (V2G)". This is also the code described in the CIRED article "Smart Charging of Electric Vehicles Based on Scheduling Theory" by H. Nygård, I. Mørch and O. Bergland

Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in electric vehicles", accepted to be published in Nature Communication

This project proposes a smart charging algorithm based on linear programming that minimizes the charging costs of an aggregated fleet.

Simple, yet feature-rich, CSMS or LC OCPP Server with Smart Charging Capabilities

Strel connects electric vehicle owners with private charging point hosts. Find a charge anywhere, or monetize your own station. #GreenTech #EV". Ajoutez aussi le lien du site web ici s'il ne l'est pas déjà.

This is the published code for aggregating using ul-flexibility method proposed by Panda N.K. & Tindemans S.H.

Open Smart Charging Protocol SDK for Go

Smart charging schedueler for EVs using swedish prices

Charge your Tesla from solar power surplus or at low grid prices.

Powerly Open EV Charge — iOS App

UI for balanz

This research was fully supported by RF-GE-N.00001 and RF-EV-N.00001 from G.A.I.A QTech, Vietnam.

This data science / physics report explores machine learning approaches for electric vehicle optimization. It covers battery management, range prediction, charging station placement and energy efficiency. It highlights AI-driven solutions for predictive maintenance, energy scheduling, and enhancing EV performance to support wider adoption.

A Python library for calculating and validating EV charging tariffs using the OCPI 2.2.1 protocol. Essential for CPOs and EMSPs

Smart Electric Vehicle Charging Station (EVSE)