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CORDIS - EU research results
CORDIS

Circular design and manufacturing techniques for next-generation highly-efficient integrated axial flux motor drives for electric vehicles

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Report on topology exploration for different vehicle segments (opens in new window)

Report presenting optimal powertrain configurations (e.g., number of motors, location, power rating) for different vehicle segments, linked to task 2.1.

Report on benchmark and specifications of the holistic framework for CliMAFlux results (opens in new window)

Report presenting the overall architecture of the holistic benchmarking framework aiming at a functional, economic and sustainability assessment of CliMAFlux solutions during design and as validation, linked to task 2.5.

CliMAFlux project identity and CliMAFlux project website (opens in new window)

"Creation of the project identity incuding templates for extrenal communication and the creation of general project information and the development of the CliMAFlux project website including open-source information forthe wider engineering and research community linked to task 7.1 ""Stakeholder involvement, clustering and promotion activities"""

Publications

Development of Procedures for Disassembly of Industrial Products in Python Environment (opens in new window)

Author(s): Maurizio Guadagno, Eleonora Innocenti, Lorenzo Berzi, Saverio Corsi, Massimo Delogu
Published in: AIAS 2024, 2025
Publisher: MDPI
DOI: 10.3390/ENGPROC2025085006

European Initiatives Addressing High Efficiency and Low-Cost Electric Motors for Circularity and Low use of Rare Resources (opens in new window)

Author(s): Eric Armengaud, Florian Ratz, Ángela Muñiz, Javier Poza, Fernando Garramiola, Gaizka Almandoz, Jenni Pippuri-Mäkeläinen, Stéphane Clenet, Maarten Messagie, Lea D’amore, Maeva Lavigne Philippot, Oriol Rillo, Daniel Montesinos, Hendrik Vansompel, Arne De Keyser, Claudio Romano, Umberto Montanaro, Davide Tavernini, Patrick Gruber, Liaoyuan Ran, Nicola Amati, Christopher Vagg, Matic Herzog, Martin Weinzerl, Janne Keränen, Juho Montonen
Published in: SAE Technical Paper Series, Issue 1, 2025
Publisher: SAE International
DOI: 10.4271/2025-01-8806

Self-adaptive neural network model predictive anti-jerk control of electric powertrains (opens in new window)

Author(s): Gianluca Frison, Fabio Alberti, Luca Ciravegna, Luca Dimauro, Aldo Sorniotti
Published in: Mechanism and Machine Theory, Issue 214, 2025, ISSN 0094-114X
Publisher: Elsevier BV
DOI: 10.1016/J.MECHMACHTHEORY.2025.106082

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