Descrizione del progetto
L’intelligenza artificiale guida l’elettrificazione dei trasporti
Si prevede che i progressi nel campo dell’intelligenza artificiale (IA) rinnoveranno ogni aspetto della società e dell’industria, inclusa la sua applicazione nelle discipline ingegneristiche. Il progetto ATEM, finanziato dall’UE, esaminerà il ruolo delle applicazioni IA nel dare impulso all’elettrificazione dei trasporti. Il progetto, conducendo la ricerca nell’importante industria automobilistica svedese rappresentata dal Politecnico Chalmers, Volvo AB e Scania AB, concentrerà l’attenzione sulle sfide del processo di transizione verso sistemi di trasporto elettrificati, attraverso il consolidamento del modello a batteria elettrochimica orientato ai dati, del controllo della velocità basato sull’apprendimento di rinforzo profondo per veicoli elettrici autonomi e, sempre per questi ultimi, del modello personalizzato basato su raccomandazioni di orientamento. Il lavoro del progetto unirà informatica, IA, ingegneria elettrochimica, ingegneria elettrica e ingegneria dei trasporti. I risultati andranno a beneficio dei settori dell’industria automobilistica e della gestione dei trasporti.
Obiettivo
The technological blossom in artificial intelligence (AI) makes possible numerous advancements in various engineering disciplines. The applicant has been in the forefront of this AI innovation, and received seven world prizes in AI competitions. For this fellowship, he intends to use his AI expertise to examine the role that AI technologies can play in accelerating transport electrification, and subsequently contributing to climate action. In view of the strong vehicle industry in Gothenburg, Sweden, Chalmers and Scania AB collectively provide an outstanding research environment for this important topic. More specifically, this project will consolidate data-driven electrochemical battery model, deep reinforcement learning based automated electric vehicle (AEV) speed control and AEV personalized routing recommendation model, which are three biggest challenges in the transition process towards electrified transport systems. The fellowship will be co-supported by AI Innovation of Sweden, and Drive Sweden, with a hope to implement the expected findings in not only the vehicle industry but also transport management sectors. This research is interdisciplinary in nature, and requires expertise from computer science, artificial intelligence, electrochemical engineering, electrical engineering, and transport engineering. In this regard, the host institute, Chalmers University of Technology, has developed a well-designed career training and development plan for the applicant to work with renowned research leaders in relevant disciplines (e.g. Prof. Xiaobo Qu, Member of Academia Europaea; Prof. Karl Johansson, Fellow of Royal Swedish Academy of Engineering Sciences) to enhance his readiness to become an assistant professor after this fellowship. The applicant will also take advantage of the fertile research environment in Chalmers, and synchronize the workshops and reference groups with the host’s other EU and Swedish projects to disseminate the new findings.
Campo scientifico
- natural scienceschemical scienceselectrochemistry
- social sciencessocial geographytransportelectric vehicles
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- engineering and technologycivil engineeringtransportation engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineering
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
412 96 GOTEBORG
Svezia