evcharging

An OCPP 1.6 and 2.1 compliant Charging Station Management System for managing EV charging infrastructure. Handles real-time WebSocket communication with charging stations, OCPI 2.2.1/2.3.0 roaming, ISO 15118 Plug and Charge, a REST API for operators, and two React frontends for operators and drivers.

Web-based OCPP simulator for testing EV charging stations and CSMS integration. Simulate charge points, monitor OCPP 1.6 communication, and test charging protocols in real-time.

OCPP Charge Point Simulator

Driver-facing mobile app for the EVtivity EV charging platform.

Bosch eBike live data in Home Assistant via a Raspberry Pi BLE→MQTT bridge. No ESP32 needed.

🔣 Auto-generated OCPI type definitions for multiple languages

An OCPI Explorer as an Electron Desktop App

Type-safe OCPP 1.6 & 2.0.1 client library for Kotlin/Android. Build EV charging station apps with ease.

Charge your EV AnyTime, AnyWhere

An open-source, EV-side charging simulator. It emulates an electric vehicle so you can test AC charging stations (EVSE) and CSMS backends on the bench, without a real car.

A simple asynchronous OCPP 1.6J Charge Point client implemented in Python.

An OCPI Explorer as a Web App

Helm chart for deploying EVtivity CSMS on Kubernetes.

This project implements core commands for OCPP communication.

A fully responsive EV Charging Station landing page with Sign In and Sign Up functionality built using HTML, CSS, and JavaScript. Ideal for clean energy and tech startups looking to showcase services online.

Modern EV charging platform built with Next.js, React, TypeScript & Tailwind CSS ⚡🚗

A WiFi touch-screen control panel for the EVtivity CSMS, built on the Waveshare ESP32-S3-Touch-LCD-7B (7-inch, 1024x600).

Electric vehicle smart charging for Home Assistant.

Home Assistant integration for the Salus EVT7UK EV charger — monitor power, energy & charging status and control charging. May also work with other Uleeco-platform white-label chargers.

Distributed optimisation of electric vehicle charging using ADMM for efficient grid load balancing and cost minimisation.