Awesome list of tools for Electric Vehicles

V2GInjector - Tool to intrude a V2G PowerLine network, but also to capture and inject V2G packets

Free Wireshark plugin to analyze ISO15118 V2G communication between electric vehicles (EV) and charging stations (EVSE).

Emulator for rapid prototyping of Software Defined Networks extended to support Vehicle To Grid (V2G) communications

Scalable open-source EVSE firmware supporting ISO 15118, IEC 61851, and commercial deployments

Fork from the Martin-P/OpenV2G with the goal to provide an universal command line interface. This is used in the python part of the CCS project, see https://github.com/uhi22/pyPLC.

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

The goal of this demo is to illustrate Vehicle-to-grid (V2G) technology in simple multiplayer browser game

Master Thesis Electricity markets simulaiton of Day-Ahead price formation in 2030 with large share of batteries (incl V2G) acting and competing with each other and itself

Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) Technologies

This repository focuses on Vehicle-to-Grid (V2G) technology. It includes the Simulink file and a technical documentation that outlines the entire model setup process along with relevant parameters.

V2G (Vehicle-2-Grid) EVSE-EV Matching via SLAC (ISO 15118-3): Model and implementation.

Base for all Vehicle-to-Grid components for Plug and Charge

ISO/IEC 15118 C# Implementation with pentesting tools

Full-stack EV charging management platform with AI dispatching, V2G, and Virtual Power Plant

ISO 15118-2 EVSE emulator

A novel disposition algorithm using mixed-integer linear programming optimization has been developed, and based on that, a techno-economic potential analysis for fleet operators has been conducted.

python driver for meanwell bic bi-directional charger

Replication code and data for our study on BEV owner smart charging preferences