HiPower 5.0 is driven by the challenges and ambitions addressed in the Green Deal and in the Chips Act, to develop new power electronics solutions to ensure Green Deal targets and to foster a resilient and leading edge all-European Value Chain, for tomorrow’s mobility solutions. Therefore, HiPower 5.0 aims for developing highly integrated eDrive components for the automotive and maritime domain using leading edge wide bandgap semiconductors and power electronics integration technologies. This includes the development of new GaN wafer materials with superior performance, first time 850 V monolithically integrated bidirectional GaN switches, enabling new topologies and unprecedented efficiency levels of 99%, as well as 1200 V GaN switches fitting the needs of 800 V battery electric vehicles. When developing these solutions, a resource-efficient and reliable design is considered to minimize CO2 footprint and extent the lifetime of power electronics components. Firstly, multi-physics simulation with its ability to model the complex interactions between electrical, thermal, electro-magnetic, and mechanical phenomena will be used. By simulating these interactions, the system design can be optimized while performances can be predicted under various operating conditions, reducing the need for prototyping, and cutting both time and costs of development. Secondly, new ageing models and prognostics concepts will be developed to finally enable an according evaluation of the set targets of the single applications. Supported by innovations in power electronics control and cooling the lifetime and reliability will be further enhanced. To achieve these targets, the HiPower 5.0 consortium is composed along the whole value chain, starting from the GaN wafer and chips development, up to automotive and maritime Tier1/OEMs. This is accompanied by leading European universities and research organizations, guaranteeing a significant economic and scientific impact of the proposed work.

The EXTENDED overall objective is to design, develop and validate the next-generation battery pack systems that will be an answer to the unmet need for mass-market take-up of electrical vehicles and applications by developing efficient, lightweight, eco-designed and multi-life battery pack systems with substantially reduced charging times, passenger car ranges beyond 500 km under normal driving conditions with an optimized energy storage capacity, a lifetime of at least 300,000 km and being monitored with an advanced Battery Management System developed for 1st and 2nd life. The developed technologies and solutions will be optimized for applications such as stationary and aeronautics. The battery system will be developed based on semi-solid-state battery technology with almost double energy density compared to conventional lithium ion batteries. This will be the first time that a large semi solid state battery cell (35Ah) will be implemented in EU research projects. A set of 6 Specific Research objectives (SROs) are defined below, which support the overall objective of the project, to develop the next generation battery pack system from its innovative elements and parts to a next generation battery pack system validated under real life conditions. The overall objective is besides specific research objectives also supported by a set of dissemination and exploitation objectives (DEOs, see section 2.2) and communication objectives (COs, see section 2.2.1). To achieve those challenging and innovative targets, the EXTENDED project is composed of 19 partners from 10 EU countries. The geographical distribution, expertise complementarity, positioning within the technology value chain, academic versus industrial profiles and recognizable completeness of this consortium.

EcoMobility will support European industry and cities in transitioning from isolated and static transportation means towards a service-centric, connected mobility ecosystem by sharing data and services across involved stakeholders. The project will enable and simplify cooperative development, deployment, operation and life cycle management of connected adaptive end-to-end mobility solutions in a sustainable manner. EcoMobility will • establish devops practices within the supply chain with continuous and customized cloud-based addition and improvement of mobility services • support contract-based runtime coupling of mobility services within edge/cloud-based service for deployment of AI solutions, coupled with monitoring, analysis and coordination of vehicles, transportation infrastructures and people • deliver reliable & enhanced vision, perception, including HD maps, and localization systems for safe, connected, and automated vehicles • deliver customized and improved fail-operational ADAS systems reflecting technology capabilities of heterogeneous vehicles and protecting vulnerable road users • provide energy-aware control and scheduling of electric vehicles including smart Battery Management Systems (BMS) and coordination with other transportation means • contribute to increased public acceptance of electrified autonomous vehicles and bridge gaps between technological advancements and legal and regulatory frameworks. The demonstrators within EcoMobility will showcase the project’s findings and capabilities for the end-to-end sustainable mobility ecosystem with impact on improved trust, safety, security, efficiency and ecology of mobility solutions to a level appropriate for mass-market deployment. Emerging innovations will leverage the expertise of world-renowned industrial and research partners within the mobility value chain, giving Europe a competitive edge in a growing market with direct contributions to the European goal of zero road fatalities by 2050

Physics and data-based battery management by multi-domain digital twins (BATMAX) sets out to pave the way for advanced next generation data-based and adaptable battery management systems capable of fulfilling the needs and requirements of various mobile and stationary applications and use cases. The main objective of the project is to contribute to improving battery system performance, safety, reliability, service life, lifetime cost and therefore to maximise the value created by operation of the battery systems in various kinds of end use applications. This is approached by creating a framework for next generation of battery management based on large amounts of data, both experimental, operational and synthetic, adaptable physics-based models, suitable reduced-order models for both physical BMS algorithms and real-time multi-scale digital twins. BATMAX develops a framework to efficiently parameterise physics-based models is essential to reduce the cost of model development and encourage their use in BMSs. Advanced numerical methods accelerate the extraction of relevant parameters from experimental and numerical simulation data. BATMAX develops hardware and sensorisation on cell and system level for collection and communication of battery measurement data and integrates an open source BMS platform to a laboratory scale prototype system. The BATMAX BMS framework (hardware and software) will enable to exploit advanced battery models with integrated digital twin framework that is capable to cope with high amount of measured data, which will enable to monitor the battery aging in depth and to facilitate the key functions of systems. A central output is an extensive multi-purpose and scalable digital twin framework is developed and validated for advanced battery management. Key impacts from BATMAX contribute to 10% battery lifetime increase on average scenario, 20% performance increase in specific scenarios and contribution to lifecycle cost reduction by at least 10%.