Digital design

Total results returned: 1

The Digital Design page serves as a hub for resources exploring the cutting-edge tools and technologies reshaping electric vehicle development. With access to reports, scientific papers, and case studies, this section highlights the growing role of virtual simulations, digital twin models, and advanced software in the design process. Whether you're researching how digital tools are accelerating design iterations or improving product quality, these materials provide essential information to support innovation in the EV digital design landscape.

Digital Design

Definition And Implementation of a Holistic Digital Twin of the IMD

This report presents a comprehensive overview of the activities carried out in Work Package 4 (WP4), specifically Task 4.3, of the RHODAS project, which focuses on the design and development of a digital twin framework for key components of electric powertrains.  The developed framework comprises three individual digital twins: the inverter digital twin, the e-motor digital twin, and the gearbox digital twin. The inverter digital twin models the electrothermal behavior of power electronics modules (SiC and GaN) to support performance monitoring and failure prediction. The e-motor digital twin captures the thermal behavior of the rotor and stator of the RHODAS e-motor, enabling accurate simulation under various driving conditions. The gearbox digital twin is based on a data-driven thermal equivalent circuit model that estimates the gearbox oil temperature using a range of input data.  All digital twin models are implemented in both MATLAB/Simulink and C++ to enable seamless integration into the RHODAS cloud platform, supporting both online and offline thermal monitoring and efficient computation.  The deliverable also includes extensive sensitivity analyses to investigate the behavior of the e-motor, power inverter, and gearbox under different operating modes. This outcome delivers a robust and scalable digital twin architecture that enhances monitoring, diagnostics, and predictive maintenance capabilities within the RHODAS electric vehicle platform. 

Audience:
Digital Design Professionals, Digital Twin Researchers, Electric Vehicle Manufacturers, Electric Vehicle Powertrain Designers, Reliability Engineers