Many EVs@Scale accomplishments have been made possible by the team’s development of new capabilities, numerical algorithms, and computational tools that are publicly available to support stakeholder planning activities.
The following data and tools can be accessed online by the wider research community:
- Access capabilities through CCS communications protocol (AcCCS): Idaho National Laboratory's (INL's) AcCCS is a collection of tools and scripts that emulate EV communication controllers and EVSE communication controllers. It utilizes open-source code, off-the-shelf hardware, and published protocol specifications to create a versatile and cost-effective test and evaluation device for the Electric Vehicle industry.
- Cerberus: INL's SIS for Extreme Fast Charging (XFC) Infrastructure (Cerberus) tool is responsible for gathering data from multiple sources to monitor the safety and security properties (cyber and physical) of multiple XFC. The data are processed and analyzed by software running on the SIS Core and SIS Aggregator systems.
- Distributed Energy Resource Cyber Framework (DER-CF): The National Renewable Energy Laboratory's (NREL's) DER-CF is a no-cost, interactive web tool that holistically evaluates a facility’s distributed energy resource cybersecurity posture—or health—and makes customized recommendations.
- Electric Vehicle Infrastructure – Energy Estimation and Site Optimization Tool (EVI-EnSite): NREL's EVI-EnSite is a charging station design, modeling, and analysis tool. Researchers use EVI-EnSite to conduct studies that need flexible simulations for light-, medium-, and heavy-duty EV charging at different charging station configurations—from low-power charging scenarios (i.e., Level 1 and Level 2) to high-power, DC fast-charging (DCFC) stations at the multimegawatt scale.
- Electric Vehicle Infrastructure – Projection Tool (EVI-Pro): NREL's EVI-Pro, developed in collaboration with the California Energy Commission, draws on detailed data about personal vehicle travel patterns, EV attributes, and charging station characteristics to estimate the required quantity and type of charging infrastructure.