Periodic Reporting for period 2 - AI4CSM (Automotive Intelligence for/at Connected Shared Mobility)
Okres sprawozdawczy: 2022-05-01 do 2023-04-30
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 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 ACTIVE project Work Packages (WPs), as reported below:
The activities of WP2 deal with the architecture definition, modelling and simulation of the systems and subsystems to be integrated into automated vehicles and were formally completed in M24.
Work in WP3 has started as per the project workplan. Main discussions focused 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. Moreover, WP3 has prepared an extensive, live table with all hardware developments in the project, which facilitates planning and collaboration among the various SCs and WPs.
In WP4, most of the activities were able to recover the delay indicated in first year periodic report, that the start of this WP was delayed by 2 months. Some partners are indicating the delay caused by the complexity of the system level design, that they have spent quite some time to finalize WP2 activities.
WP5 main objectives are systems and sub-systems integration, commissioning, and initial tests. The WP results will be reported in 17 deliverables scheduled in the period from m30 to m36. WP5 overall achievements are the implementation of the subsystem functions in the various supply chains demonstrators, the HW/SW developments in WP3 and WP4 evaluated for the integration into different ECAS vehicles functionalities, the start of the integration of the solutions described in WP2 and the first test bench verification, and system integration and partitioning evaluation to assure highest energy efficiency, improved robustness, and cost reduction.
In the project's second year, most WP7 activities were implemented according to the plan. AI4CSM WP7 leader and all partners continued implementing the communication and dissemination strategy, oriented to increasing the public visibility of the project and its results.
Last, one of the main objectives within this work package during M13-M24 was the consideration of the reviewers’ recommendations (the way that this has been tackled is provided in section 0), as well as the planning of the project work after the initial phase, towards full development of components and systems, integration and later on validation of the project concepts.
The activities of WP2 deal with the architecture definition, modelling and simulation of the systems and subsystems to be integrated into automated vehicles and were formally completed in M24.
Work in WP3 has started as per the project workplan. Main discussions focused 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. Moreover, WP3 has prepared an extensive, live table with all hardware developments in the project, which facilitates planning and collaboration among the various SCs and WPs.
In WP4, most of the activities were able to recover the delay indicated in first year periodic report, that the start of this WP was delayed by 2 months. Some partners are indicating the delay caused by the complexity of the system level design, that they have spent quite some time to finalize WP2 activities.
WP5 main objectives are systems and sub-systems integration, commissioning, and initial tests. The WP results will be reported in 17 deliverables scheduled in the period from m30 to m36. WP5 overall achievements are the implementation of the subsystem functions in the various supply chains demonstrators, the HW/SW developments in WP3 and WP4 evaluated for the integration into different ECAS vehicles functionalities, the start of the integration of the solutions described in WP2 and the first test bench verification, and system integration and partitioning evaluation to assure highest energy efficiency, improved robustness, and cost reduction.
In the project's second year, most WP7 activities were implemented according to the plan. AI4CSM WP7 leader and all partners continued implementing the communication and dissemination strategy, oriented to increasing the public visibility of the project and its results.
Last, one of the main objectives within this work package during M13-M24 was the consideration of the reviewers’ recommendations (the way that this has been tackled is provided in section 0), as well as the planning of the project work after the initial phase, towards full development of components and systems, integration and later on validation of the project concepts.
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.
• 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.