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Automotive Intelligence for/at Connected Shared Mobility

Periodic Reporting for period 1 - AI4CSM (Automotive Intelligence for/at Connected Shared Mobility)

Période du rapport: 2021-05-01 au 2022-04-30

Reaching a climate neutral European economy by 2050 is feasible from technological, economic and social perspectives, but it requires the implementation of deep societal and economic transformations throughout the next generation. The major challenge for Europe's industry is to be competitive with the worldwide leading manufacturers in terms of intrinsically robust, scalable and standardized EVs (Electric Vehicleσ) and AVs (Automated Vehicles) for the upcoming mass market based on electronic components and systems (ECS) technologies providing usability for the customer base in Europe.
The Vision of AI4CSM is to build Europe’s intelligent electronic component and systems for ECAS 2030 vehicles supporting European mass market production, manufacturability and scalability based on the Green Deal principles (incl. Vision Zero and Safe System) to address the sustainable urbanization challenge defined by the United Nations.
The mission of the project is to develop the functional architectures for next generation EVs based on ECS, embedded intelligence and functional virtualization for connected and shared mobility using trustworthy AI. This mission applies on different mobility sectors, including the automotive and semiconductor sector as well as the society.
In this respect AI4CSM aims to enable 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.
Achieving AI4CSM’ s means completing a set of strategic objectives which address the realization of embedded intelligence for a secure connected, cooperative and automated mobility:
- O1 - Develop robust and reliable mobile platforms
- O2 - Develop scalable and embedded intelligence for edge and edge/cloud operation
- O3 - Design silicon for deterministic low latency and build AI-accelerators for decision and learning
- O4 - Solve complexity by trustable AI in functional integrated systems
- O5 - Design functional integrated ECS systems
- O6 - Build ECAS vehicles for the green deal and future connected, shared mobility
The work performed so far is reflected on the progress of the individual project Work Packages (WPs), as reported below:
WP1 has been successfully finalized defining, collecting and analyzing all the project related requirements through a common template. A top-down approach was chosen, deriving the requirements from the different Key Performance Indicators. The collected requirements will then be handed over to the subsequent work packages for further detailing and – if necessary – adaptation.
The activities of WP2 deal with the architecture definition, modelling and simulation of the systems and subsystems to be integrated into automated vehicles. Due to the extent of the activities included in the project, the scale of this activities goes from design at the component level, up to design at the vehicle level in mission environment. WP2 was formally kicked-off on the 21st of September 2021, with the participation of the overall consortium.
Work in WP3 has started as per the project workplan. The activities have been running at low scale, because a more mature status of the requirements is needed before the real work can start in WP3. Main discussions focussed on understanding fully the requirements and define concrete activities to be done in the coming period. These activities have been upscaled in the mean time such that the further work will be executed as planned.
in WP4, during Period 1, most partners were focused on design of requirements in WP1 and system level design in WP2, that is why WP4 activities were rather limited. Most of the WP4 activities were dealing with analysis of the prepared requirements and alignment with WP2 to be able to use models form WP2 for model-based design of SW in WP4. It is expected that main HW/SW development activities in WP4 will be started at the beginning of Period 2.
In WP7, the first year of the project was dedicated for ensuring effective internal communication and data exchange via mailing lists, internal cloud, opening public external communication channels (the website, social media accounts), developing the visual identity for the project, as well as stating standardization activities and the dissemination of the first results of the project.
Last, one of the main objectives within WP8 during the first 12 months of the project was the successful start and ramp-up phase of the project, enabled by suitable structures and defined processes.
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 Enable 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 build an electrical passenger car (EV) to demonstrate AI based fault- detection, analysis, mitigation for the powertrain in real time operation
• SC3 to build coexisting-human operated vehicles and autonomous systems, and the dynamic interaction between them.
• SC4 perform 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 Perform 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 Perform 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 perform research on and demonstrate methods, tools, and processes for a trustable AI-based connected shared mobility with focus of trustworthiness, simulation and virtualization.
• SC8 Implementing 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.