Work Package 1, Requirements Analysis, involved the development of a high-level architecture identifying main building blocks and interactions. Success criteria and Key Performance Indicators (KPIs) for each demonstration were defined, and a comprehensive gap analysis of electric vehicle technology was conducted, culminating in the completion of deliverables D1.2 and D1.3.
Work Package 2, Design Architecture Optimization, focused on the design and optimization of the complete battery system architecture and inverter for traction control. This included the development of a modular Battery Management System (BMS) with advanced electronic balancing control units, thermal management studies and simulations, and optimization of charging interfaces along with cost-effective analysis.
Work Package 3, Smart Data Management, the OPEVA Data Model concept was developed using UML, XML, and XSD schemas. A data preprocessing infrastructure on the cloud using Docker was deployed, data analysis was conducted, and collection systems for charging station data were designed. Data from EV units was collected and analyzed to aid in BMS development, route planning, and performance analysis.
Work Package 4, Battery Management System, involved the development of AI-based algorithms for precise estimation of battery State of Charge (SoC) and State of Health (SoH). Optimized charge control strategies for managing energy consumption and Vehicle-to-Grid (V2G) energy transfer were developed, along with a battery thermal management system integrated into the BMS. The physical topology of the BMS was defined, incorporating DC/DC converters, On-Board Charger (OBC), and battery pack.
Work Package 5, Intelligent Energy Management, focused on the design of an Integrated Energy Management System (IEMS) to enhance EV battery performance. Driver behaviors were incorporated into intelligent energy management, and a Driver Recommender System was developed. Intelligent energy management algorithms deployable in vehicles or as Software-as-a-Service (SaaS) in the cloud were designed, along with optimization methods for integrating secure EV charging infrastructure into smart grids.
Work Package 6, Demonstrators, showcased various innovative solutions through multiple demonstrations. Hardware-in-the-Loop (HiL) testing for battery balancing and power electronics was conducted, and a Battery Pack with Smart BMS was developed. Improved sensors for accurate battery monitoring were designed and tested, a Digital Twin for performance optimization was created, and energy-efficient route planning for last-mile delivery was implemented. Inductive charging with BMS and power electronics was integrated, modular battery storage solutions were developed, and a flexible charging scheduler was implemented.
Work Package 7, Dissemination, Exploitation, and Communication, involved defining target audiences and setting up appropriate dissemination strategies. Exploitation activities were collected, and strategies for commercialization were defined. KPIs were set and periodically checked to reach potential end-users and achieve the expected impact.
Work Package 8, Project Management, focused on organizing and conducting bi-weekly Work Package and Demo meetings, managing logistics and agendas for face-to-face meetings, monitoring and reminding partners of participation and commitment, updating the GANT table, managing the Grant Agreement Amendment, and producing and submitting periodic reports to Chips-JU.
