Orbassano, Italy
Orbassano, Italy

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Grant
Agency: Cordis | Branch: H2020 | Program: SGA-RIA | Phase: FETFLAGSHIP | Award Amount: 89.00M | Year: 2016

This project is the second in the series of EC-financed parts of the Graphene Flagship. The Graphene Flagship is a 10 year research and innovation endeavour with a total project cost of 1,000,000,000 euros, funded jointly by the European Commission and member states and associated countries. The first part of the Flagship was a 30-month Collaborative Project, Coordination and Support Action (CP-CSA) under the 7th framework program (2013-2016), while this and the following parts are implemented as Core Projects under the Horizon 2020 framework. The mission of the Graphene Flagship is to take graphene and related layered materials from a state of raw potential to a point where they can revolutionise multiple industries. This will bring a new dimension to future technology a faster, thinner, stronger, flexible, and broadband revolution. Our program will put Europe firmly at the heart of the process, with a manifold return on the EU investment, both in terms of technological innovation and economic growth. To realise this vision, we have brought together a larger European consortium with about 150 partners in 23 countries. The partners represent academia, research institutes and industries, which work closely together in 15 technical work packages and five supporting work packages covering the entire value chain from materials to components and systems. As time progresses, the centre of gravity of the Flagship moves towards applications, which is reflected in the increasing importance of the higher - system - levels of the value chain. In this first core project the main focus is on components and initial system level tasks. The first core project is divided into 4 divisions, which in turn comprise 3 to 5 work packages on related topics. A fifth, external division acts as a link to the parts of the Flagship that are funded by the member states and associated countries, or by other funding sources. This creates a collaborative framework for the entire Flagship.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: GV-02-2016 | Award Amount: 9.56M | Year: 2016

The UPGRADE project aims to support the transition to a high efficient, cleaner and affordable powertrain technology systems, based on Spark Ignited GDI (Gasoline Direct Injection) approach, suitable for future Light Duty applications. The project also includes a deep analysis of the phenomenon of the formation of the nanoparticles in relationship to the engine design and its operating conditions and, with regard to the after-treatment solutions, the study and development of new Gasoline Particulate Filter (GPF) technologies. To increase the engine efficiency under Real Driving conditions, the following steps will be carried out: - address stoichiometric combustion approach on the small size engine and lean-burn combustion approach on the medium size one - study and develop the best combinations of technologies, including advanced VVA/VVT capabilities, advanced boosting system (including electrically assisted booster operations), EGR (Exhaust Gas Recirculation) and thermal management systems - Explore and implement advanced fuel injection (direct) and ignition system supported by new dedicated control strategies that will be integrated in the ECU (Engine Control Unit) software. In order to demonstrate the call overall targets (15% improvement on CO2 emissions based on the WLTP cycle and compliancy with post Euro 6 RDE standards) the project will see the realization of two full demonstrator vehicles: one B-segment vehicle, equipped with the small downsized stoichiometric engine, and one D/E vehicle equipped with the medium size lean-burn engine. The vehicle will be fully calibrated and assessed by independent testing, according to on road test procedures, using the available best representative PEMS (Portable Emission Measurement System) technology and considering also PN measurement below 23 nm diameter.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: GV-03-2016 | Award Amount: 11.69M | Year: 2016

Mild Hybrid cOst effective solution for a fast Market penetratiON. THOMSON (Mild Hybrid cOst effective solutions for a fast Market penetration) project aims to the development of cost effective solutions, based on 48V architectures, answering the need in reducing the environmental impact of the transportation sector through a clever combination of advanced engines technologies, electrification and wider use of alternative/renewable fuels. The project addresses very precise and consistent objectives to support a quick transition towards high efficient, cleaner and affordable electrified powertrains focusing on the 48V architectures, intended as key element to increase fuel economy and reduce environmental impact and to support a quick penetration on the market of the hybrid powertrains. Approaches developed in the THOMSON project will demonstrate how the right combination of advanced engine downsizing/turbocharging technologies, coupled with a 48V motor-generator system, can provide the most cost effective solution for a rapid electrification through conventional vehicles. The project will provide an exhaustive evaluation of this concept through the development of two different 48V architectures (one integrating the e-machine on the front engine belt drive, the other between the engine and the transmission) on two different engine families: on one side a mid-size 1.6 litre Diesel engine and, on the other one, a small downsized Spark Ignited CNG engine equipped with a Direct Injection system. This twin approach will allow to demonstrate how 48V architecture interacts with Diesel technologies (especially with regard to noxious pollutant reduction) and, on the other side, with Spark Ignited CNG ones, emphasizing the CO2 reduction already achieved through the use of a low carbon fuel such as CNG. Moreover, for both engine families, 48V architecture represent an important enabler to introduce electrically driven auxiliaries and sub-systems leading to a global better man


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: GV-03-2016 | Award Amount: 10.11M | Year: 2016

The ORCA Project proposal addresses topic GV-03-2016, of the Transport Work Programme. The work proposed will, in a single coordinated project, address all the aspects of the domain 2 For pure and plug-in hybrids, power-train system integration and optimisation through the re-use of waste heat, advanced control, downsizing of ICEs, innovative transmissions and the integration of electronic components regarding Heavy Duty Vehicles. The activity proposed will be conducted by an 11-member consortium from 7 different European Members States representing all requested competencies in the field of powertrain optimization for Heavy Duty vehicles. The consortium comprises OEMs with IVECO-ALTRA, CRF and VOLVO (also members of EUCAR, suppliers VALEO, BOSCH, JOHNSON MATTHEY and JSR MICRO (CLEPA), leading Engineering and Technology Companies/organizations and Universities with TNO, FRAUNHOFER, and VUB (EARPA). The majority are also active members of ERTRAC and EGVIA. The overall objectives of the ORCA project are: Reduce the TCO to the same diesel vehicle TCO level, targeting over 10% system cost premium reduction compared to actual IVECO hybrid bus and VOLVO conventional truck with the same performances, same functionalities and operative cost, and also targeting up to 10% rechargeable energy storage (RES) lifetime/energy throughput improvement. Improve the hybrid powertrain efficiency up to 5% compared to actual IVECO hybrid bus and conventional truck through optimized RES selection & sizing and by improving the energy and ICE management. Reduce the fuel consumption by 40% compared to an equivalent conventional HD vehicle (bus & truck). Downsize the ICE by at least 50% compared to actual IVECO hybrid bus and VOLVO conventional truck. Improve the electric range from 10km to 30km by adding the PHEV capabilities and optimising the RES capacity. Case study assessment to replace a diesel engine by a CNG engine for future heavy-duty vehicles.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: IoT-01-2016 | Award Amount: 25.43M | Year: 2017

Automated driving is expected to increase safety, provide more comfort and create many new business opportunities for mobility services. The market size is expected to grow gradually reaching 50% of the market in 2035. The IoT is about enabling connections between objects or things; its about connecting anything, anytime, anyplace, using any service over any network. There is little doubt that these vehicles will be part of the IoT revolution. Indeed, connectivity and IoT have the capacity for disruptive impacts on highly and fully automated driving along all value chains towards a global vision of Smart Anything Everywhere. In order to stay competitive, the European automotive industry is investing in connected and automated driving with cars becoming moving objects in an IoT ecosystem eventually participating in BigData for Mobility. AUTOPILOT brings IoT into the automotive world to transform connected vehicles into highly and fully automated vehicle. The well-balanced AUTOPILOT consortium represents all relevant areas of the IoT eco-system. IoT open vehicle platform and an IoT architecture will be developed based on the existing and forthcoming standards as well as open source and vendor solutions. Thanks to AUTOPILOT, the IoT eco-system will involve vehicles, road infrastructure and surrounding objects in the IoT, with a particular attention to safety critical aspects of automated driving. AUTOPILOT will develop new services on top of IoT to involve autonomous driving vehicles, like autonomous car sharing, automated parking, or enhanced digital dynamic maps to allow fully autonomous driving. AUTOPILOT IoT enabled autonomous driving cars will be tested, in real conditions, at four permanent large scale pilot sites in Finland, France, Netherlands and Italy, whose test results will allow multi-criteria evaluations (Technical, user, business, legal) of the IoT impact on pushing the level of autonomous driving.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: FETPROACT-01-2016 | Award Amount: 5.00M | Year: 2017

MAGENTA proposes a brand new technological path in thermoelectric materials research for waste-heat recovery applications. The originality of the project is based on the newly discovered thermal-to-electric energy conversion capacity of ionic-liquids and ferrofluids; i.e., colloidal dispersions of magnetic nanoparticles in ionic liquids (IL-FFs). It is an inter-disciplinary and cross-sector R&D project combining concepts and techniques from physics, chemistry and electrochemistry with an active participation from 3 SME and 1 industrial partners implicated in the materials supply-chain, the device design/performance and the market-uptake assessment. Both experimental and theoretical approaches will be employed to build foundational knowledge on novel magneto-thermoelectric phenomena in ferrofluids. Computational simulations will allow bottom-up construction of IL-FFs with optimal conditions for harvesting energy. The end-products of MAGENTA, application specific magneto-thermoelectric materials and devices, will provide innovation leadership to European companies in waste-heat recovery industries. The lead-user industries targeted by MAGENTA are automobile and microelectronic sectors, but demonstration-type thermoelectric generators will also be produced for public outreach actions on waste-heat recovery technologies. Through its foundational, interdisciplinary and cross-sector research & innovation actions, the consortium will become a seed community for building an innovation ecosystem around the novel magneto-thermoelectric technology, presenting long-term impacts on future renewal energy science and technology from which the society as a whole can benefit. Withal, MAGENTA offers breakthrough thermoelectric materials that are versatile, cost-effective and non-toxic to assist the economically and environmentally sustainable energy transition in Europe.


Grant
Agency: Cordis | Branch: H2020 | Program: CSA | Phase: GV-11-2016 | Award Amount: 3.50M | Year: 2017

The FUTURE-RADAR project will support the European Technology Platform ERTRAC (the European Road Transport Research Advisory Council) and the European Green Vehicle Initiative PPP to create and implement the needed research and innovation strategies for a sustainable and competitive European road transport system. Linking all relevant stakeholders FUTURE-RADAR will provide the consensus-based plans and roadmaps addressing the key societal, environmental, economic and technological challenges in areas such as road transport safety, urban mobility, long distance freight transport, automated road transport, global competitiveness and all issues related to energy and environment. FUTURE-RADAR will also facilitate exchange between cities in Europa, Asia and Latin America on urban electric mobility solutions. The FUTURE-RADAR activities include project monitoring, strategic research agendas, international assessments and recommendations for innovation deployment as well as twinning of international projects and comprehensive dissemination and awareness activities. Overall it can be stated that FUTURE-RADAR provides the best opportunity to maintain, strengthen and widen the activities to further develop the multi-stakeholder road transport research area, for the high-quality research of societal and industrial relevance in Europe.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-01-2016 | Award Amount: 5.38M | Year: 2017

ICT is embedded and pervasive into our daily lives. The notion of Cyber Physical Systems (CPS) has emerged: embedded computational collaborating devices, capable of controlling physical elements and responding to humans. The Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments (CERBERO) project aims at developing a design environment for CPS based of two pillars: a cross-layer model based approach to describe, optimize, and analyze the system and all its different views concurrently; an advanced adaptivity support based on a multi-layer autonomous engine. To overcome the limit of current tools, CERBERO provides: libraries of generic Key Performance Indicators for reconfigurable CPSs in hybrid/uncertain environments; novel formal and simulation-based methods; a continuous design environment guaranteeing early-stage analysis and optimization of functional and non-functional requirements, including energy, reliability and security. CERBERO effectiveness will be assessed in challenging and diverse scenarios, brought by industrial leaders: an embedded CPS with self-healing capabilities for planetary explorations (TASE-S&T), an ocean monitoring CPSoS (AS), and a Smart Travelling CPSoS for Electric Vehicle (TNO-CRF-S&T). CERBERO will automate multi-objective decisions to meet requirements and correct/optimizedbyconstruction designs. Interoperable components (i.e. DynAA by TNO, AOW by IBM, PREESM by INSA, PAPI-ARTICo3 by UPM, MDC by UniCA-UniSS) will be enhanced with additional features (as security, USI), mostly released as open-source to foster open innovation and a real path to standardisation, and integrated (IBM- AI) into a unique framework. Design speed up (one order of magnitude), increased performance (30% less energy) and reduced costs of deployment (by rapid prototyping and system in the loop incremental design) and maintenance (by runtime verification and adaptivity) of CPSoS are expected.


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-26-2016 | Award Amount: 4.30M | Year: 2017

Dreams4Cars takes inspiration from the Simulation Hypothesis of Cognition notably in the sense of Hesslow and in particular from the idea that thoughts are chains of simulated actions and simulated perceptions. The main objective of Dreams4Cars is to set up an offline simulation mechanism in which robots, by recombining aspects of real-world experience, can produce an emulated world, with which they can collectively interact to safely develop and improve their Perception-Action systems, in particular focusing on the analysis of rare events. The Perception Action systems trained by simulations in this way will then be used for sensorimotor control in real interactions. The application domain of Dream4Cars is automated driving, which besides being a major economic sector for the EU also poses the issue of developing systems capable of dealing with arbitrary and open-ended circumstances. Accidents are rare events and, to demonstrate that autonomous systems are safe enough (i.e. significantly safer than humans which is not achieved today at high and full automation levels), extensive field operation tests would normally be required. The solution offered by Dreams4Cars, by focusing on variations of much more frequent near-miss accidents, can develop safe behaviours for hypothetical/unexperienced situations. Hence Dream4Cars will contribute by solving both the problem of discovering critical situations and the problem of updating safely the software. Dreams4Cars will compare the driving agents evolved by the simulation technology to a baseline agent which will have the same State of the Art skills developed by the latest EU project in driving automation (AdaptIVe), hence concretely verifying the added value of the robotic technology (with target TRL 6).


Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: DS-01-2016 | Award Amount: 3.82M | Year: 2017

The assurance of security, privacy, reliability and safety features is key-point to unlock the enormous potential that the connected vehicles systems paradigm i.e., the dynamic Cyberphysical system of highly-equipped infrastructure-connected vehicles with numerous third-party components, can offer towards safer transportation. The emerging systems expose a variety of wireless-communication and hardware interfaces which result in a large attack surface; thus, attempts to assess the degree of confidence that security needs are satisfied come with prohibited cost for automotive stakeholders and OEMs. SAFERtec project will leverage a highly-skilled consortium to first model the varying exposure of a prototype connected vehicle system to numerous threats appearing under two generic instances of the increasingly pervasive V2I setting. One relates to road-side unit communication while the other involves the interaction with cloud application and passengers smart devices. Then, adopting a systematic vertical approach SAFERtec will obtain an in-depth look of the possible vulnerabilities performing penetration-testing on individual hardware components and upper-layer V2I applications. Considering the available security mechanisms a third party provider already applies to each module, SAFERtec will determine a corresponding protection profile as a summary of the identified risks. An innovative framework appropriately designed for unified and thus, cost-effective use across all modules will employ statistical tools and security metrics to quantify the involved security assurance levels and also feed the incomplete automotive standards. Research on dependability methods will then allow the frameworks transition from individual modules to the connected vehicle system. All above results will be incorporated and made available through an open-access toolkit that will pave the way towards the cost-effective identification of security assurance levels for connected vehicle systems.

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