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EU funding (€9,519,068): Integrated Modular Distributed Drivetrain for Electric/Hybrid Vehicles Hor 28 Aug 2017 EU Research and Innovation programme "Horizon"

Overview

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Integrated Modular Distributed Drivetrain for Electric/Hybrid Vehicles

Within this project a new compact and efficient high speed 30-50 kW electrical machine will be integrated with an efficient fully SiC drive and a gearbox within a powertrain traction module. The electrical machine will have a dry rotor direct liquid cooling system integrated with the cooling system for the SiC drive. This traction module can be mechanically coupled with an axle of a low performance electric/hybrid vehicle, or several units could be coupled directly with the wheels for a high performance vehicle or a light-duty vehicle or a bus. Economic feasibility of mass-manufacturing of different electric machine topologies will be studied to choose the best trade-off between performance, manufacturing cost, and efficiency in the selected performance range. Feasibility of direct drive, single stage, and two-stage switchable high speed gearboxes will be studied as well. The resultant powertrain traction module will be an optimal trade-off between efficiency, manufacturability, and cost, utilizing newest technologies in electrical machines, power electronics, and high speed gearboxes. We will demonstrate the scalability of the solution by embedding several powertrain modules on board a test vehicle.


Funded Companies:

Company name Funding amount
AVL Software AND Functions GmbH €899,625
Borgwarner Sweden AB €678,575
Chalmers Tekniska Hogskola AB €583,875
Danfoss Editron Oy €1,250,750
Fondazione Icons €345,500
National Electric Vehicle Sweden AB €2,569,548
S.C.I.R.E. Consorzio €193,500
Semikron Danfoss Elektronik GmbH & Co. KG €903,125
Technische Universitaet Ilmenau €322,510
Teknologian Tutkimuskeskus VTT Oy €1,046,873
Thien Edrives GmbH €553,750
Univerza V Ljubljani €171,438

Source: https://cordis.europa.eu/project/id/769989

The filing refers to a past date, and does not necessarily reflect the current state.