HEStaff exchange2024–2027

TEAMING · e-powerTrain prEdictive mAintenance using physics inforMed learnING

Horizon Europe — Marie Skłodowska-Curie Actions

Duration: 2024-01-01 → 2027-12-31
EU contribution: €1,283,400
Participants: 16
Scheme: HORIZON-TMA-MSCA-SE

Lines connect the coordinator with its partners.

Project objective

Mobility electrification plays a critical role in the economy decarbonisation, and we are on the edge of an industrial revolution linked to the massive deployment of the electric vehicle (EV). Their technologies 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, optimising 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 modelling 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 TEAMING. Thanks to international staff exchanges, TEAMING will significantly improve the different facets of the PdM solution: sensors, modelling, Digital Twins, adapted AI, and Physics-Informed Machine Learning methods are at the centre of the studies and present a major potential in term of innovation. TEAMING will advance PdM system to better diagnose the internal physical phenomena of the different EV powertrain components and optimise their performance, lifetime, safety, and reliability.”

Original text from CORDIS.

Participants

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES · ParisCoordinatorFrance
AALBORG UNIVERSITET · AalborgDenmark
ADVENT TECHNOLOGIES AS · AalborgDenmark
AI4SEC OU · TallinnEstonia
CHALMERS TEKNISKA HOGSKOLA AB · GoteborgSweden
ECOLE NATIONALE D'INGENIEURS DE MONASTIR · MONASTIRTunisia
ERGUNLER INSAAT PETROL URUNLERI OTOMOTIV TEKSTIL MADENCILIK SU URUNLER SANAYI VE TICARET LIMITED STI. · IspartaTürkiye
KING'S COLLEGE LONDON · LondonUnited Kingdom
MCMASTER UNIVERSITY · HamiltonCanada
NANYANG TECHNOLOGICAL UNIVERSITY · SingaporeSingapore
NOVA ID FCT - ASSOCIACAO PARA A INOVACAO E DESENVOLVIMENTO DA FCT · CaparicaPortugal
POLITECNICO DI TORINO · TorinoItaly
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN · AachenGermany
UNIVERSITY OF BRISTOL · BRISTOLUnited Kingdom
UNIVERSITY OF HAWAII · HonoluluUnited States
UNIVERSITY OF OTTAWA · OttawaCanada

TEAMING · e-powerTrain prEdictive mAintenance using physics inforMed learnING

Project objective

Participants

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