wp_16969886 – SustainablePowerTrains

Mark Blyth (University of Bristol) on secondment at CEA to develop battery thermal modelling techniques

Investigating trade-offs in immersion and cold-plate cooling Minimising degradation of cells is a key goal across […]

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Enhancing Predictive Maintenance with Semantic AI Frameworks in Electrified Automotive Systems

Ali Serdar Atalay (AI4SEC OÜ, Research and Development) Edge-Cloud Digital Twins for Smarter EV Maintenance The […]

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Youssof Fassi (CEA) on secondment at AAU to develop Physics-informed machine learning-based predictive maintenance techniques for power electronics

Advancing Predictive Maintenance: A Machine Learning Approach to Power Converter Reliability Degradation of power electronics components, […]

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January 30, 2024

Vincent Heiries (CEA) on secondment at University of Ottawa to develop Deep Learning based solution for EV driver habits forecasting and prediction of EV battery required energy

EV driver profiling and habits prediction : Deep Learning based method to forecast near future usage […]

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January 23, 2024

Chadha Jenzeri ( National Engineering School of Monastir) – on secondment at AI4SEC to develop a predictive maintenance interface and algorithms on Coral Dev and Grafana

Energy-Efficient Algorithms for Predictive Maintenance of Electric Vehicles In the realm of modern technology, predictive maintenance […]

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January 15, 2024

Alper Kanak (ERARGE, Ergünler R&D Co. Ltd, R&D Director) on secondment at AI4SEC OÖ (Estonia) to semantically model the Predictive Maintenance (PdM) in the electrified automotive domain

Ontology-based PdM for more trustworthy EV powertrains The automotive industry’s transition to electrification brings efficiency and […]

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