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IAV

Ingenieurgesellschaft Auto und Verkehr (Germany)
11 Projects, page 1 of 3
  • Funder: European Commission Project Code: 217878
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  • Funder: European Commission Project Code: 284909
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  • Funder: European Commission Project Code: 769974
    Overall Budget: 12,430,300 EURFunder Contribution: 8,984,740 EUR

    A consortium of industrial and academic leading players covering the entire value chain of road transport has joined forces to commonly address the need to prove feasible and environmental-friendly cases of alternative fuels to fossil diesel for road transport, acknowledging the importance of reducing GHG emissions (beyond EURO 6) with affordable developments. Commercial vehicles using Optimised Liquid biofuels and HVO Drivetrains (COLHD) has the ambition to enable EU purchasers to buy high performance, clean, safe, affordable HDVs, specifically designed to run on alternative renewable fuels, and be able to conveniently run them through EU transport infrastructure. To do so, COLHD will follow a 3-tiered approach, working on technology, infrastructure and removal of additional barriers. COLHD will optimize and further develop 3 DDF powertrains running on biogas (LBM or LBP) and 2nd generation biofuels (HVO), evaluating the several benefits under testing in the LNG Blue Corridors infrastructure. Therefore, COHLD will allow proving oil substitution on the short and medium term, addressing different markets and ranges. Aiming at finally establish a EU market for AF HDVs, COLHD will co-develop cross-wise activities involving all key target audiences: raising awareness of general public, organising workshops with fleet operators and constantly assessing the EC on required policy directives.

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  • Funder: European Commission Project Code: 101192649
    Overall Budget: 4,999,500 EURFunder Contribution: 4,999,500 EUR

    TWIN-LOOP builds on a new opportunity on computational capacity of clouds and vehicles due to the implementation of High-Performance Computing combined with digitisation of EVs under the SDV architecture. State of the art Digital Twin is still far from the complex reality of EVs core performance, somehow too naive. Besides, a given vehicle in all its variants, together with its HW and SW versions, is unique and depends on the actual use and status in terms of health and use of each specific critical components. By considering unicity of a single vehicle and learning from the operational data of a series of vehicles (fleet) and the use of data and digital models across all EV’s lifecycle in an agile and continuous manner, it would be possible to unlock the necessary extra step to reduce energy consumption without compromising comfort and safety, in fact enhancing EV driver experience, safety and cybersecurity. The TWIN-LOOP will develop an Open Framework for TwinOps for EVs along with a suite of digital tools aimed at continuously improving Energy Consumption, Hardware Costs, Driver Experience and Vehicle Resiliency across the four stages of vehicle lifecycle. The project will implement the Open Framework, integrate with EV specific tools and assess their effectiveness in realistic conditions across three different use cases, identified for their relevance to the topic. The initiative will also focus on fostering synergies between various sectors and stakeholders, aligning with European priorities and strategic partnerships like 2ZERO and Chips JU. This alignment ensures the transferability of expected outcomes and underscores TWIN-LOOP’s commitment to innovation management, research ambition, and market acceptance within the automotive industry.

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  • Funder: European Commission Project Code: 101146513
    Overall Budget: 4,083,230 EURFunder Contribution: 4,083,230 EUR

    The current global climate crisis and ongoing shift towards autonomous transport necessitate sustainable and passenger-centric public transport solutions. The goal of OptiPEx is to enhance of sense of comfort and safety of the passengers as well as the security and ease of travelling by co-creating ethical and passenger-aware public transport services together with specific target user groups, such as wheelchair users, passengers with large objects, fragile passengers with limited mobility, tourists and students. To achieve this, OptiPex is built on three fundamental development pillars: measurement, analytics and interaction. OptiPEx partners will develop perception technologies to measure passenger behaviour and situations. Trustworthy analytics is essential in recognising real-time passenger experiences and situations, enabling interaction with services and vehicles. Moreover, OptiPEx partners will develop adaptive and interactive vehicle technologies and digital services in collaboration with target groups and suitable for various public transport modes. These services will optimise the onboard experience, promoting safety, inclusiveness and trust. Ultimately improved passenger satisfaction will drive the adoption of automated public transport technologies and improve the sustainability of mobility services via contribution to the modal shift. A consortium consisting of 3 research organisations, 6 industry members and 2 SMEs will validate the developed solutions together with target groups and other stakeholders in three living labs. The consortium has leading expertise in human behaviour, user-centric design, vehicle technologies, modelling and data analysis, and adaptive and interactive services. The successful adoption of OptiPEx results will be facilitated by efficient dissemination, communication, and exploitation activities in collaboration with the Connected, Cooperative and Automated Mobility (CCAM) partnership.

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