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Intelligent, Safe and secure connected Electrical Mobility solutions: Towards European Green Deal and Seamless Mobility

Periodic Reporting for period 1 - EcoMobility (Intelligent, Safe and secure connected Electrical Mobility solutions: Towards European Green Deal and Seamless Mobility)

Okres sprawozdawczy: 2023-05-01 do 2024-04-30

The EcoMobility solutions aim to support stakeholders in the transportation industry and cities as they transition from isolated and static transportation methods to a service-centric, connected mobility ecosystem. This transformation involves overcoming various challenges. EcoMobility has identified four key digital enablers—AI, safety and trustworthiness within the automotive ecosystem, a robust and modular architecture, and agility for digital transformation. These enablers will significantly impact technology adoption and the quality of intelligent mobility solutions in addressing the challenges of digitalization and ecological societal development. The resulting infrastructure will tackle multiple challenges faced by Europe today and contribute to a significant breakthrough in various application areas, representing a crucial step toward a digital society 5.0. To achieve this mission, EcoMobility focuses on six objectives.
WP2: The primary objectives of WP2 include the development of system designs, architectures, and simulators for all demonstrators related to the relevant SCs, along with diagnostic metrics. In the first year, the emphasis was on defining use cases and requirements for each demonstrator to support activities in WP1. Within this context, the definition and development of interfaces and architectures also commenced. Subsequently, the modeling and simulation analysis were initiated based on the requirements, initial designs, and architectures.
WP3: Requirements and specifications from WP1 have been taken and the cooperation with the partners has been organized to ensure smooth progress on the technical part. Sensor and electronic components evaluations and developments have started and, in some cases, even tests have been performed. These activities have provided feedback for WP1 and WP2, and helped to define new and tailored requirements in WP1.
WP4: This work package aims to develop computational HW, algorithms and methods to spread AI in control in automated vehicles and industrial systems. All tasks are running since M10. Most partners spent most of their effort in WP1 and WP2 in RP1 therefore the work here is in early stage. It targets the utilization of AI and software components, on the edge. It is expected that new AI methods, software components and supporting tools will be prepared and made available in next reporting periods.

WP7: Dissemination and communication work for the project was started by opening public communication channels and developing the visual identity for the project. The EcoMobility website has been developed to promote the effective communication and dissemination of results and findings within the project. Academic and research partners actively started preparing the project related publications and participating at various conferences. Furthermore, social media presence (via Twitter and Linkedin) was launched and active communication was started. The first year of the project is dedicated to exploitation strategy creation and planning of the upcoming activities. Regarding the standardization, the first activity in this task has been the identification of standards that are relevant to EcoMobility, including with respect to the ethics of using artificial intelligence.
To achieve a more sustainable and efficient transportation ecosystem, our focus is on several critical objectives. Firstly, the continuous optimization of design methods and value chains for digital mobility streamlines processes, reduces congestion, and enhances accessibility. Secondly, the development of on-board intelligent components ensures safer, more reliable vehicles equipped with advanced driver assistance systems (ADAS) and improved autonomy. Third, intelligent connectivity mechanisms facilitate greener, safer road mobility through real-time traffic management and seamless integration with infrastructure. Fourth, smart battery management systems, powered by cloud-based AI services, extend battery life and optimize energy utilization. Fifth, a multimodal transport system integrates public transport and efficient freight logistics, ultimately reducing environmental impact. Finally, providing market intelligence strengthens the European electrified vehicle industry, informs decision-making, and promotes user acceptance.
WP2: The year 1 was dedicated to defining the architectures and interfaces of the corresponding demonstrators. As part of the preparation for requirements and specifications, state-of-the-art studies were conducted on relevant demonstrators and use cases. The related achievements in system designs and architectures will be reported/disseminated in detail in RP2.
WP3: This first year has been primarily focused on delineating sensors, components and architectures for the different use cases. It is yet too soon to evaluate and even describe final results and their impact. After the second year, it will start to be feasible to get into these.
WP4: After three months of WP4 operation, there are no real results yet. Study of existing approaches, the definition of requirements and system level design proposing the solutions going beyond the state art was realized in WP1 and WP2. Only initial trials were performed about the feasibility of proposed solutions.
WP5: No result to be reported for the first month of the WP5.
WP7: The first year was dedicated for the project related communication. More tangible impactful results will be available in the next reporting periods.
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