Python implementation of the Open Charge Point Protocol (OCPP).
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Updated
Jun 3, 2024 - Python
Python implementation of the Open Charge Point Protocol (OCPP).
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
Electric vehicle CCS charging investigations with Python
An equivalent circuit model (ECM) for a battery cell, module, and pack
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…
Optimize energy assets using mixed-integer linear programming
MyEnergi Client API and Management tools.
Electric Vehicle Routing Problem
Creating a Bitcoin Lightning Network Enabled Energy Grid
A V2G Simulation Environment for large scale EV charging optimization
Home Assistant Integration for Silence Scooter
EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of EV Charging Infrastructure. Link to publication: https://doi.org/10.1109/TSG.2023.3339374
This repository contains code related to solving and visualizing the Bi-Directional Electric Vehicle Routing Problem (B-EVRP) as well as some exemplary data and results.
A Home Assistant integration to receive live data sent from the LeafSpy app
⚡ A simulation of finding the shortest charging routes for electric vehicle fleets using ant colony optimization.
Estimate intrinsic Permanent Magnet Synchronous Motor temperatures with deep recurrent and convolutional neural networks.
This repository contains the ChaProEV (Charging Profiles of Electric Vehicles) model.
*NOTE*: This is a mirror. The original repository is linked below. This software computes the electrical energy requirements of a fleet of vehicles. It also determines how much of this energy can be offset by renewable energy. It does all this by analyzing the fleet's GPS traces and applying EV and PV models.
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