Imagine trying to plug in thousands of giant batteries without blowing a fuse in your neighborhood. This project uses AI to find the perfect spots for chargers where people actually need them and where the power grid can handle the load. It also acts like a digital bodyguard to stop hackers from attacking the charging network.
Rapid EV adoption is overloading distribution grids because charging stations are often placed without considering both user demand and grid capacity. Additionally, the interconnected nature of these chargers creates new cybersecurity vulnerabilities.
A simulation environment with spatial mapping and power grid layers, smart charging algorithms, and a cybersecurity threat model for chargers.
If you are a grid operator dealing with unpredictable power spikes from EVs — this project developed AI-based grid-planning tools that identify where the grid can support chargers. This prevents costly infrastructure failures and optimizes resource usage.
If you are a fleet manager dealing with high energy costs for heavy-duty vehicles and boats — this project developed smart charging algorithms that minimize network impact. This ensures your vehicles are charged efficiently while providing economic benefits to the user.
If you are a charger manufacturer dealing with the risk of network intrusions — this project developed a threat model to represent cyber-attacks on chargers. This allows you to implement efficient defensive mechanisms to protect your system.
Based on available project data, specific pricing for the tools is not mentioned, although the project received an EU contribution of EUR 10,997,750 for development.
Yes, the project is validating solutions across seven demonstration environments covering diverse mobility and grid contexts to ensure real-world applicability.
Based on available project data, specific licensing terms are not provided, but the consortium includes 18 industry partners who are testing equipment in the real world.
Yes, the project integrates regulatory conditions and has already produced a report on Grid Planning Strategies (D4.1) and End-User Flexibility Solutions (D1.2).
The project is active from 2024-06-01 and is scheduled to conclude on 2028-05-31.
The consortium is heavily industry-weighted with 18 companies (64% industry ratio), including 3 SMEs, which suggests a strong focus on commercial viability. With 28 partners across 10 countries, the project has a broad European reach, combining the academic rigor of 4 universities and 2 research centers with practical implementation from grid operators and technology providers.
Contact Politecnico di Milano regarding the AHEAD project coordination.
Contact SciTransfer to connect with the AHEAD consortium for pilot opportunities.
