Daniil Valme

The project aims to advance Electric Propulsion Drive System (EPDS) Digital Twin (DT) technology for Software Defined Electric Vehicles (SDEVs), with a focus on achieving DT adaptive and intelligent levels. It addresses the need for efficient testing and evaluation of electric propulsion systems in line with EU clean energy transition goals. Leveraging the rapid development of DT technology, the project seeks to contribute to SDV technology through enhanced modeling, data gathering, IoT integration, and system optimization. Key challenges include lifecycle management, data processing, and real-time communication between physical and virtual systems. The project encompasses advanced modeling, data gathering, IoT, and communication infrastructure, system integration, optimization, and technology demonstration.

Autonomous driving is no longer just an idea of technology vision, instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more from energy optimization. The optimization of electric propulsion drive systems of self-driving electric vehicles by using autonomous and monitoring sensors are not often discussed. The goal of the proposal is to develop a specialized unsupervised prognosis and control platform for such energy system performance estimation. This goal requires the development of several test platforms and digital twins. A digital twin is composed of three components – the physical entities in the real world, their virtual models, and the connected data/view that ties the two worlds together.

Project goals Taking into account the relatively low automation and robotization of the traditional fossil fuels industry, a significant retraining is necessary for the workforce in transition to modern technological industrial sectors. This has to be done, in order for the potentially available workforce to meet the needs and requirements set by the modern mechatronics oriented industry, which actively implements the Industry 4.0 ideology. To meet those requirements, the project proposes retraining courses for the soon-to-be-available workforce. The topics covered by the retraining are electrical drives, automation, robotics, power electronics, and condition monitoring of industrial systems. These separate fields are strongly interconnected and overlapping, and together with the connection point of IT technologies, they can be considered the main technological pillars of modern mechatronics oriented industry.