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WORK PACKAGES
OUR WORK

AHEAD has 11 dedicated work packages to achieve the project objectives.

WP1 focuses on analysing current and future vehicles and vessels usage patterns and charging behaviours, identifying and examining technological barriers and solutions for enabling flexibility from end-users, as well as a comprehensive regulatory framework analysis for electric mobility integration. Finally, scenarios and use cases will be developed that will be tested in the demonstrators.

Objectives of WP1:

  • Analyse EVs, HDVs, and vessels recharging patterns and behaviours.
  • Review technological barriers and ICT infrastructure standards for chargers and charging stations.
  • Review current frameworks for the provision of flexibility services by EVs, HDVs, and vessels.
  • Provide and define use cases and scenarios that will be implemented in the demonstrators.
WP2 involves evaluating the current and future potential of AC and DC charging technologies for EVs, HDvs, and vessels, designing their smart and bidirectional charging architectures and chargers, including the integration of automated charging systems, as well as developing AI-based tools for aggregating charging process dynamics.
Objectives of WP2:
  • Describe the state-of-the-art of charging infrastructures for EVs, HDVs, and vessels.
  • Assess suitable converter topologies and employ advanced semiconductor technologies for grid support.
  • Evaluate grid service compliance of both individual and aggregated sets of slow chargers.
  • Design AI tools to categorise charging dynamics based on vehicle models.
WP3 will develop and model flexibility services for electric mobility and their use in planning tools. It will also cluster, characterise, and classify EV flexibility, develop a dynamic platform for flexibility activation simulation, as well as a comprehensive pre-qualification process to enable the provision of flexibility services within the grid infrastructure.
Objectives of WP3:
  • Design flexibility programs adapted to the EVs needs and features.
  • Model flexibility behaviour to be used in planning tools.
  • Characterise, classify, and quantify the flexibility that can be provided by EVs.
  • Develop a simulation tool allowing to test the adequacy of the flexibility services provided by EVs.
  • Propose a contracting and pre-qualification process for participation of EVs in flexibility services.

WP4 will create planning methodologies for distribution and transmission grids, define EVSEs use classification and KPIs , run the validation of grid models and flexibility in planning tools , and host capacity spatial mapping models to support decision making.

Objectives of WP4:

  • Simulate electric loads of EVs to validate grid model(s) for demo cases.
  • Simulate flexibility services defined in WP3 into validated grid model(s).
  • Implement decision-making map model for municipalities showing hosting-capacity level in the grids analysed.

WP5 will define ICT requirements in the EV value chain, create a threat model for EV charging and develop attack scenarios, and design cybersecurity requirements for cyberattacks, their prevention, detection and recovery.

Objectives of WP5:

  • Build a map of the IT security measures for ICT e-mobility platforms.
  • Develop an extensive threat model that enables a clear understanding of viable attacks against EV charging infrastructure.
  • Develop requirements and define the necessary countermeasures to secure the EV charging infrastructure from the defined attack scenarios.
WP6 will define the optimisation model and framework, develop an AI-based technique for charging infrastructure to optimise the grid utilisation and the maximise the services that EVs, HDVs, and vessels can provide. It will also define KPIs and performance evaluation and design and implement the AI-based tool ‘s user interface.
Objectives of WP6:
  • Design the architecture of the proposed framework and developed scenarios, defining the inputs and outputs of the model.
  • AI Model description.
  • Description of the main KPIs and AI-Model Performance Evaluation Report.
WP7 will detail the specifications for the use cases demonstrated in Denmark, implement the commissioning and start-up of the Nordic demonstrations. The operation and monitoring of fast chargers and slow chargers, along with the analysis of the results and the lessons learned for scalability for mass deployment in public, private and workplace locations will be conducted.
Objectives of WP7:
  • Demonstrate the feasibility and combined delivery of grid services with multi-brand chargers together with hybrid resources such as fast chargers with battery energy storage and DER.
  • Measure customer acceptance of the charging services offered in the upgraded (workplace) and at the newly built charging station (rural-main road).
  • Demonstrate the robustness of the infrastructure against grid data manipulation and malfunction.
  • Assess the commercial spatial tool and update the AHEAD planning tools based on the lessons learned.
WP8 will detail the actual situation of the DSO network for the demonstrations in Milan and Kranj, implementing the commissioning and start-up of the use cases. The AI-based DSO planning tools integration and test execution will be conducted, along with the operation and monitoring of chargers for public transportation and fleet use as well as for HDVs.
Objectives of WP8:
  • Review of the actual situation of the DSO, public transport and fleet management in the demo sites.
  • Test and performance assessment of the AI based tool for the DSO planning operations.
  • Demonstrate EVs, HDVs, and vessels operation considering flexibility services.
  • Demonstrate the robustness of the infrastructure against grid data manipulation and attacks.
WP9 will develop detailed specifications of the demonstration use cases as well as a digital twin of the maritime-tourism area of Funchal Port. The required infrastructure needed to validate the use cases for the demo will be installed, commissioned, and integrated to accommodate public charging, private residential charging and private parking lot charging.
Objectives of WP9:
  • Assess the challenges and opportunities of massive deployment of EVSEs in parking lots.
  • Demonstrate and assess the impacts of using wireless EVSEs.
  • Assess the performance of AI-based tools for planning and coordinating EVSEs at the city level.
  • Assess the challenges and benefits of massive boat electrification of maritime-tourism activities.

WP10 will develop a communication and dissemination plan, defining the tools and channels for the project to ensure a strong awareness of its ongoing work and dissemination of results to a variety of stakeholders. AHEAD will cluster with other EU projects and other initiatives to address the scientific community and maximise visibility of the results. The AHEAD exploitation strategy will closely align with the dissemination strategy, identifying and evaluating the exploitation pathways to ensure the AHEAD results and solutions can be scaled.

Objectives of WP10:

  • Develop and implement a communication and dissemination plan as well as the tools and channels for outreach and dissemination.
  • Ensure links with related EU projects and initiatives.
  • Identify and prepare exploitation and use of results.
  • Contribute, upon invitation by the CINEA, to common information and dissemination activities to increase the visibility and synergies between Horizon Europe supported actions.
WP11 will oversee the financial and administrative management of AHEAD, the data management, as well as the quality assurance and risk management.
Objectives of WP11:
  • Guarantee effective and timely project implementation.
  • Control the quality and manage the risks of the project.
  • Maintain timely and necessary interaction with the EC and other interested parties.