Electric and smart mobility are key enablers for their green energy transition. However, the electrification of vehicles poses several challenges, from the development of power components to the organization of the electric grid system. Moreover, it is expected that the smartification of mobility via sensors and novel transport paradigms will play an essential role in the reduction of the consumed energy. In response to these challenges and expectations, the ENERGY ECS project is pursuing smart and secure energy solutions for the mobility of the future, by developing power components, battery charging electronics, and self-powered sensors for condition monitoring, along with advanced techniques for grid management, applications of artificial intelligence, machine learning and immersing technologies. This paper presents the project's objectives and reports intermediate results from the perspective of the targeted use cases.
Romani A., Crescentini M., Rusu C., Staaf H., Ambrosio M., Chiaberge M., et al. (2023). The ENERGY ECS Project: Smart and Secure Energy Solutions for Future Mobility. Institute of Electrical and Electronics Engineers Inc. [10.23919/AEITAUTOMOTIVE58986.2023.10217190].
The ENERGY ECS Project: Smart and Secure Energy Solutions for Future Mobility
Romani A.;Crescentini M.;
2023
Abstract
Electric and smart mobility are key enablers for their green energy transition. However, the electrification of vehicles poses several challenges, from the development of power components to the organization of the electric grid system. Moreover, it is expected that the smartification of mobility via sensors and novel transport paradigms will play an essential role in the reduction of the consumed energy. In response to these challenges and expectations, the ENERGY ECS project is pursuing smart and secure energy solutions for the mobility of the future, by developing power components, battery charging electronics, and self-powered sensors for condition monitoring, along with advanced techniques for grid management, applications of artificial intelligence, machine learning and immersing technologies. This paper presents the project's objectives and reports intermediate results from the perspective of the targeted use cases.File | Dimensione | Formato | |
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