Prediktivt underhåll av e-powertrain med hjälp av fysikinformerad inlärning (TEAMING)
Forskningsprojekt, 2023
– 2027
Mobility electrification plays a critical role in the decarbonisation of the economy, and we are on the edge of an industrial revolution linked to the massive deployment of the electric vehicle (EV). Their technology readiness level has significantly increased, and the EV can now replace the thermal vehicle in terms of service provided, supporting the EU decarbonisation effort. Besides the reduction of critical material, and decrease of cost, optimizing the lifetime of the EV components is essential to ease their adoption, especially the powertrain sub-components that have the major impact on EV cost and CO2 emissions.A new generation of diagnostic and prognostic systems for the powertrain will be a game changer to ensure EV adoption, because they will estimate its degradation, anticipate failures, and ease reparability thus extending its lifespan. With significant improvement of sensors, complex modeling and data processing methods such as Artificial Intelligence (AI), predictive maintenance (PdM) has gained a lot of interest in different fields. Development of PdM methods for the sub-components of the EV powertrain (battery, fuel cell, e-motor, power electronics) is at the heart of this project TEAMING. Thanks to Marie Skłodowska-Curie Actions Staff Exchanges, TEAMING will significantly improve the different facets of the PdM solution.
Deltagare
Changfu Zou (kontakt)
Chalmers, Elektroteknik, System- och reglerteknik
Xiaolei Bian
Chalmers, Elektroteknik, System- och reglerteknik
Yicun Huang
Chalmers, Elektroteknik, System- och reglerteknik
Godwin Peprah
Chalmers, Elektroteknik, System- och reglerteknik
Albert Skegro
Chalmers, Elektroteknik, System- och reglerteknik
Torsten Wik
Chalmers, Elektroteknik, System- och reglerteknik
Samarbetspartners
AI4SEC OU
Tallinn, Estonia
Aalborg Universitet
Aalborg, Denmark
Advent Technologies SA
Patra, Greece
Associação para a Inovação e Desenvolvimento da FCT (NOVA.ID.FCT)
Caparica, Portugal
ERGUNLER INSAAT PETROL URUNLERI OTOMOTIV TEKSTIL MADENCILIK SU URUNLER SANAYI VE TICARET LIMITED STI.
Isparta, Turkey
Ecole Nationale d'Ingénieurs de Monastir
Monastir, Tunisia
Le Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)
Gif-sur-Yvette, France
McMaster University
Hamilton, Canada
Nanyang Technological University
Singapore City, Singapore
Politecnico di Torino
Torino, Italy
RWTH Aachen University
Aachen, Germany
University of Bristol
Bristol, United Kingdom
University of Hawaii
Honolulu, USA
University of Maryland
College Park, United States
University of Ottawa
Ottawa, Canada
Finansiering
Europeiska kommissionen (EU)
Projekt-id: 101131278
Finansierar Chalmers deltagande under 2023–2027
Relaterade styrkeområden och infrastruktur
Transport
Styrkeområden
Energi
Styrkeområden
Grundläggande vetenskaper
Fundament
C3SE (Chalmers Centre for Computational Science and Engineering)
Infrastruktur
Innovation och entreprenörskap
Drivkrafter