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Kick off meeting!

The virtual kickoff meeting of the H2020 Marie Sklowska Curie project ECO DRIVE took place on March 23, 2020, which is coordinated by the LMSD, Noise & Vibration Research Group.

About Us

ECO DRIVE is formed by 9 beneficiaries combining leading education institutes, top research institutions and leading companies as well as 3 partner organisations established in European automotive R&D.

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Project Objectives

ECO DRIVE will support the early-stage researchers (ESRs) as they explore innovative approaches to the testing and simulation of eco-powertrains and as they build their knowledge and develop a passion for tackling the ecological and engineering challenges of the future.

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ESRs & Workpackages

ECO DRIVE is divided into 2 work-packages which is conducted by 13 ESRs.

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ECO DRIVE Public Workshop – Ancona

By Julian | May 16, 2022

About ECO DRIVE Over the next 30 years, as we shift towards Electric Vehicles (EVs), downsized IC (Internal Combustion) engines and hybrids with eco-powertrains will be central to the automotive sector. ECO DRIVE develops new technologies for the testing and simulation of eco-powertrains, addressing the complex challenges related to combustion noise, the irritating sound from…

ECODrive Public technical course:

By Julian | January 31, 2022

The ECODrive consortium is hosting a technical course during their technical training and GA/SB meeting weeks. The agenda as well as all necessary information can be found below.  The event is held online. Discord will be used as an online platform where the participants can meet also outside of the course hours. The links to…

Preliminary program third technical training and GA/SB meeting

By Julian | January 20, 2022

The provisional program for the third technical training and GA/SB meeting to be held in Leuven, Belgium, in February 2022 has been published. It is not a final draft. A more detailed plan will be announced in due course. Program Date Day Time Agenda 09.02.2022 Wednesday 13:30 (start) Siemens powertrain testing & multi-attribute modelling 10.02.2022…