The primary objective of this work package is to efficiently coordinate the efforts of project participants, monitor progress towards the achievements of the project goals, and serve as an interface between the project elements and the European Commission, external stakeholders, and the general public. This entails establishing and maintaining a robust internal and external flow of information, ensuring strict compliance with contractual, financial, and administrative requirements, as well as maintaining quality control across all activities. Additionally, the work package is tasked with guaranteeing the technical relevance and reliability of project results, and effectively managing both project data and associated risks to ensure a successful and impactful project outcome.
This work package aims to define detailed use cases and system requirements, identify comprehensive verification methods, update parameters and metrics, conduct threat and risk analysis for security requirements, develop high-level test plans, procedures, and harmonized validation methodologies, and assess communication protocols against standards. The objective is to establish a solid technical foundation, ensuring clarity, security, and effective validation processes for successful project implementation.
This work package focuses on specifying and developing the software and hardware architecture of the Battery Management System (BMS) as per system specifications. It includes developing hardware for interfacing with proposed sensors, and implementing security controls for data integrity, authentication, and authorization. The package also involves mechanical integration of the CMC board to reduce the battery-pack volume by 10% and creating a multi-sensing unit for swift and reliable action. The objective is to optimize the BMS with improved security and physical integration for project success.
This work package focuses on creating a precise battery model with ageing mechanisms and a machine-learning surrogate. It includes developing a reduced-order model for onboard Battery Management System (BMS) for health-conscious battery control. The package also involves creating detection mechanisms for manipulation, onboard BMS functions for adaptive parameters and fast charging control, and Cloud BMS functions for ageing estimation, health prognostics, and remaining useful life estimation. The goal is to optimize battery performance and lifespan.
This work package focuses on creating a precise battery model with ageing mechanisms and a machine-learning surrogate. It includes developing a reduced-order model for onboard Battery Management System (BMS) for health-conscious battery control. The package also involves creating detection mechanisms for manipulation, onboard BMS functions for adaptive parameters and fast charging control, and Cloud BMS functions for ageing estimation, health prognostics, and remaining useful life estimation. The goal is to optimize battery performance and lifespan.
This work package focuses on creating a precise battery model with ageing mechanisms and a machine-learning surrogate. It includes developing a reduced-order model for onboard Battery Management System (BMS) for health-conscious battery control. The package also involves creating detection mechanisms for manipulation, onboard BMS functions for adaptive parameters and fast charging control, and Cloud BMS functions for ageing estimation, health prognostics, and remaining useful life estimation. The goal is to optimize battery performance and lifespan.
This work package focuses on creating a precise battery model with ageing mechanisms and a machine-learning surrogate. It includes developing a reduced-order model for onboard Battery Management System (BMS) for health-conscious battery control. The package also involves creating detection mechanisms for manipulation, onboard BMS functions for adaptive parameters and fast charging control, and Cloud BMS functions for ageing estimation, health prognostics, and remaining useful life estimation. The goal is to optimize battery performance and lifespan.
