European Companies Search Engine
EU funding (€1,283,400): e-powerTrain prEdictive mAintenance using physics inforMed learnING Hor8 Nov 2023 EU Research and Innovation programme "Horizon"
Overview
Text
e-powerTrain prEdictive mAintenance using physics inforMed learnING
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.”
Funded Companies:
| Company name | Funding amount |
| King's College London | ? |
| Aalborg Universitet | €138,000 |
| Advent Technologies AS | €0.00 |
| AI4SEC OÜ | €147,200 |
| Chalmers Tekniska Hogskola AB | €174,800 |
| Commissariat a L Energie Atomique et aux Energies Alternatives | €197,800 |
| Ecole Nationale D'Ingenieurs DE Monastir | €151,800 |
| Ergunler Insaat Petrol Urunleri Otomotiv Tekstil Madencilik Su Urunler Sanayi VE Ticaret Ltd. STI | €115,000 |
| Nova ID FCT - Associação para A Inovacao e Desenvolvimento da FCT | €151,800 |
| Politecnico Di Torino | €110,400 |
| RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN | €96,600 |
Source: https://cordis.europa.eu/project/id/101131278
The filing refers to a past date, and does not necessarily reflect the current state. The current state is available on the following page: King's College London UNIVERSITY, London.
The visualizations for "King's College London - EU funding (€1,283,400): e-powerTrain prEdictive mAintenance using physics inforMed learnING"
are provided by
North Data
and may be reused under the terms of the
Creative Commons CC-BY license.