In AI4CSM, whereas work is reported in WPs, objectives are reached by working in Supply Chains (SCs), each of this works towards reaching one or more project objective and represents a particular research stream aiming to a specific demonstration target. Therefore, the progress beyond SOTA and the results so far are reflected in the work progress within the SCs, as follows:
• SC1 Enables the future mobility developments following the electrification, standardisation, automatization and digitalisation implementation strategy by providing new AI-enabled electronic component and systems for ECAS vehicles for advanced perception, efficient propulsion and batteries, advanced connectivity, new integration and platform concepts and intelligent components based on trustworthy AI.
• SC2 builds an electrical passenger car (EV) to demonstrate AI based fault- detection, analysis, mitigation for the powertrain in real time operation
• SC3 builds coexisting-human operated vehicles and autonomous systems, and the dynamic interaction between them.
• SC4 performs research on and demonstrate a powertrain for xEVs including inverter with AI - based health assessment. AI techniques will be used for AI-based functionalities for the battery management as well as detection of foreign objects by wireless chargers.
• SC5 Performs research on, and demonstrate secure external communication, with high data rates (5G) and bandwidth. The cloud fusion of edge perception results into the digital twin as well as fast and reliable wireless communication channels based on 28 GHz mmW technology
• SC6 Performs research on and demonstrate AI based perception and sensor fusion, as well as new scalable AI-enabled platforms for autonomous mobility interconnected with secure communication architectures and systems.
• SC7 performs research on and demonstrate methods, tools, and processes for a trustable AI-based connected shared mobility with focus of trustworthiness, simulation and virtualization.
• SC8 Implements Europe’s vision of climate neutrality by 2050 for the automotive and the semi-conductor sector. Furthermore, it makes sure that the developments within AI4CSM are conform with current and upcoming standards as well as to support their activates in driving new AI related knowledge into the standards.
