TwinOps and vehicle specific Digital Twin for Software Defined EVs

ongoing

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.