Projektbeschreibung
KI-gestützte Elektromobilität
Die immer neuen Fortschritte in künstlicher Intelligenz (KI) werden die gesamte gesellschaftliche und industrielle Entwicklung radikal verändern, auch die Ingenieurwissenschaften. Das EU-finanzierte Projekt ATEM analysiert, wie KI-Anwendungen den Übergang zur Elektromobilität beschleunigen können. Schwerpunkt des Projekts, das zusammen mit der Technischen Hochschule Chalmers und den leistungsstarken schwedischen Fahrzeugherstellern Volvo AB und Scania AB Forschung betreibt, sind die Herausforderungen beim Übergang zu elektrifizierten Verkehrssystemen. Hierfür werden Modelle für datengesteuerte elektrochemische Batterien, Geschwindigkeitsregelung für autonome Elektrofahrzeuge basierend auf Deep Reinforcement Learning und personalisierte Routenberechnung für solche Fahrzeuge integriert. Von der kombinierten Expertise in Informatik, KI, Elektrochemie, Elektrotechnik und Verkehrstechnik werden sowohl die Fahrzeugindustrie als auch der Verkehrssektor profitieren.
Ziel
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.
Wissenschaftliches Gebiet
- 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
Schlüsselbegriffe
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Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Koordinator
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Schweden