Welcome to the documentation for the Electric Vehicle Charging Toolkit, a comprehensive package that includes both the EV Charging Simulator and the EV Charging Assets projects. This toolkit provides tools, models, and simulations for managing and simulating electric vehicle charging infrastructure Contact online >>
Welcome to the documentation for the Electric Vehicle Charging Toolkit, a comprehensive package that includes both the EV Charging Simulator and the EV Charging Assets projects. This toolkit provides tools, models, and simulations for managing and simulating electric vehicle charging infrastructure and assets.
Import the Package: Import the toolkit package into your Python project nfigure Charging Scenarios: Set up and configure charging scenarios n Simulations: Execute simulations and analyze results.For detailed instructions and code examples, visit the Getting Started guide.
EV Charging SimulatorThe EV Charging Simulator project allows you to simulate EV charging scenarios, user interactions, and grid integration. Explore this section to learn more:
Usage ExamplesExplore various usage examples and scenarios in the Usage Examples section. Learn how to simulate common EV charging situations, analyze results, and integrate the simulator into your projects.
API ReferenceRefer to the API Reference for comprehensive documentation of the simulator''s classes, methods, and attributes. This section provides in-depth technical information for developers and users who want to customize or extend the simulator.
ConfigurationThe simulator allows for flexible configuration to adapt to different use cases. Learn how to configure charging scenarios, user behavior, and grid parameters in the Configuration Guide.
Custom Charging ProfilesReal-Time InteractionGrid Integration StrategiesThese topics provide insights into advanced usage and customization options for the EV Charging Simulator.
ModelsReview the available Pydantic models for EV charging assets in the Models section. These models can be used to validate, serialize, and work with data structures commonly found in EV charging stations.
ContributingWe welcome contributions from the community! If you''d like to contribute to the Electric Vehicle Charging Toolkit project, please review our contribution guidelines to get started.
LicenseThis project is licensed under the MIT License. By using the Electric Vehicle Charging Toolkit package, you agree to the terms and conditions outlined in the license.
If you have your own data set of EV charging sessions or you have already built your EV model with evprof, the best place to start is the Get started chapter in the package website.
This work has been developed under a PhD program in the eXiT research group from the University of Girona (Catalonia) in collaboration with Resourcefully, an energy transition consulting company based in Amsterdam, The Netherlands.
Caldera is an electric vehicle (EV) infrastructure simulation platform that enables the development of control strategies and artificial intelligence (AI) for holistic integration of electric transportation with the grid. The foundation of Caldera is it''s first-of-its-kind library of high-fidelity charging models for a wide variety of vehicles, validated by test data under a range of operating conditions. Caldera adeptly bridges the gap between transportation and grid models and provides accurate co-simulation of both, a crucial need as the transportation sector shifts to EVs.
Caldera offers a development and virtual testing environment for multi-agent controls and AI decision algorithms. It allows research and engineering teams to develop and test smart charge management strategies, automated load management controls for DC fast charging (DCFC) and extreme fast charging (XFC) sites, and driver decision support tools for site-level and network-level vehicle/grid integration.
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