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Safe, Secure, High Performing Multi-Passanger and Multi-Commercial Uses Affordable EVs

Project description

On the road to electric and multi-purpose vehicles

Even though sales of electric vehicles and hybrids account for less than 2 % of new registrations in Europe, the uptake is increasing. And the future of mobility is on the path towards efficient, electric and multi-purpose vehicles. With this in mind, the EU-funded Multi-Moby project is designing a fleet of multi-passenger and multi-purpose commercial vans. With enhanced safety features, these vehicles are fitted with sensing, scanning and night vision to enhance autonomous capabilities. They also feature a robust battery pack based on hybrid cells. The vans have an on-board charger and a standardised low-cost charging system. By advancing the development of such technology, the project is driving the market towards safe and affordable electric vehicles.

Objective

MULTI-MOBY is an ambitious proposal aiming at quickly finalizing the results of a cluster of GV and FoF EU projects addressing the development of technology for safe, efficient and affordable urban electric vehicles.
A fleet of multi-passenger and multi-purpose commercial vans will be manufactured assuring:
• Best-in-class safety for occupants and Vulnerable Road Users (VRUs) protection as required per the M1/N1categories,
• Autonomous capabilities by adopting the most on-the-road-experimented sensing and computational platforms, with the addition of low-cost scanning and night vision functionalities,
• High efficiency 48V and 100V powertrains adopting the most advanced power semiconductor technologies amongst Si, SiC and GaN,
• Robust battery packs based on hybrid cells with specific energy close to 200Wh/kg at pack level,
• On-board charger integrating a DCxxV-DC12V converter optimized for the two voltages of interest,
• A standardized low cost charging system able to operate DC charging at 48V and 100V,
• Advanced Electric Electronic (EE) architecture with implemented secured procedures for remote updates and upgrades of the firmware and predictive maintenance, by applying advanced artificial intelligence (AI) methodologies,
• Application of low-cost, flexible, agile and lean manufacturing through a low-investment micro-factory concept,
• Competitive price positioning with respect to existing and forthcoming fully electrical urban passenger and commercial vehicles.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-LC-GV-2018-2019-2020

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Coordinator

INFINEON TECHNOLOGIES AUSTRIA AG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 010 467,50
Address
SIEMENSSTRASSE 2
9500 Villach
Austria

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Region
Südösterreich Kärnten Klagenfurt-Villach
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 443 525,00

Participants (8)

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