Project description DEENESFRITPL Arificial intelligence drives transport electrification Advances in artificial intelligence (AI) are expected to revamp every aspect of society and industry, including its application in engineering disciplines. The EU-funded ATEM project will investigate the role of AI applications in accelerating the electrification of transport. Conducting research in the strong Swedish vehicle industry represented by Chalmers University of Technology, Volvo AB and Scania AB, the project will focus on the challenges in the transition process towards electrified transport systems through consolidation of the data-driven electrochemical battery model, deep reinforcement learning-based automated electric vehicle (AEV) speed control, and the AEV personalised routing recommendation model. Work will combine computer science, AI, electrochemical engineering, electrical engineering and transport engineering. The results will benefit the vehicle industry and transport management sectors. Show the project objective Hide the project objective Objective 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. Fields of science natural scienceschemical scienceselectrochemistrysocial sciencessocial geographytransportelectric vehiclesnatural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learningengineering and technologycivil engineeringtransportation engineeringengineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineering Keywords ATEM Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2020 - Individual Fellowships Call for proposal H2020-MSCA-IF-2020 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator CHALMERS TEKNISKA HOGSKOLA AB Net EU contribution € 191 852,16 Address - 412 96 GOTEBORG Sweden See on map Region Södra Sverige Västsverige Västra Götalands län Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 191 852,16