Description du projet
L’intelligence artificielle favorise l’électrification des transports
Les avancées dans le domaine de l’intelligence artificielle (IA) devraient remodeler chaque aspect de la société et de l’industrie, y compris son application dans les disciplines de l’ingénierie. Le projet ATEM, financé par l’UE, étudiera le rôle des applications d’IA destinées à accélérer l’électrification des transports. Menant des recherches dans la puissante industrie automobile suédoise représentée par l’Université de technologie Chalmers, Volvo AB et Scania AB, le projet se concentrera sur les défis rencontrés dans le processus de transition vers des systèmes de transports électrifiés en consolidant le modèle de batterie électrochimique alimenté par les données, le contrôle de la vitesse des véhicules électriques automatisés (VEA) fondé sur l’apprentissage par renforcement profond, et le modèle de recommandation d’itinéraire personnalisé des VEA. Les travaux combineront informatique, IA, ingénierie électrochimique, ingénierie électrique et ingénierie des transports. Les résultats profiteront à l’industrie automobile et aux secteurs de la gestion des transports.
Objectif
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.
Champ scientifique
- 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
Mots‑clés
Programme(s)
Régime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
412 96 GOTEBORG
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