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Accelerating transport electrification by machine learning

Project description

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.

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 (EuroSciVoc)

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

CHALMERS TEKNISKA HOGSKOLA AB
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 191 852,16
Address
-
412 96 GOTEBORG
Sweden

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Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 191 852,16
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