The electric drive constitutes a critical component for the electrification of vehicles and hence the electro-mobility strategy. A complex system in its own right, the electric drive needs to be integrated into both the electric powertrain and the full vehicle. Gaining early insights into system interdependencies using Model-Based Systems Engineering (MBSE) is key to achieving the best possible performance for competing design objectives. It enables tight integration of design and simulation activities, including connecting system simulation with physics simulation.
Multiphysics simulation enables engineers to predict and verify the system performance across multiple design objectives and in all possible operating scenarios. However, many of the disciplines are competing and finding the best trade-offs is a challenge. The teams need a collaborative environment which allows them to optimize designs by simultaneously taking into account thermal and mechanical requirements, electromagnetic performance, durability, noise and vibration control, as well as lubrication requirements.
Dassault Systèmes offers best-in-class solutions for electric drive engineering within a collaborative environment.
The RWTH Aachen University is collaborating with leading automakers, to optimize the acoustics of electric vehicles. The University researchers employ advanced computational tools to develop efficient methods for analysis and optimization. They use SIMULIA solutions Abaqus, Simpack and Isight, also providing easy integration with in-house tools to deliver simulation, structural dynamics and process automation that help not only to pinpoint issues, but to improve the acoustics of electric vehicles to become attractive to buyers.
Connecting the dots between requirements, design and simulation (MODSIM) is the key for the development of complex systems. Digital continuity allows the physical behavior of the final product to be virtually evaluated and optimized across multiple domains.
Join the SIMULIA Community to watch a demonstration how the 3DEXPERIENCE platform enables a connected development process for electric drive engineering.
The Finite Element Method (FEM) is a versatile, accurate and widely accepted method to simulate and analyze different aspects of the electromagnetic performance of electrical machines. However, there are also many aspects that can be efficiently investigated only through system simulation, where electric circuits and mechanical subsystems can be simulated as one coupled system. This requires a representation of the electrical machine, which behaves in all regards as the FEM model, but with a considerable reduction in computational complexity.
The generic term for such a model is reduced order model or short ROM. In this article, several approaches to construct ROMs by means of FEA are investigated and compared with each other in terms of accuracy, performance, convergence and energy conservation properties.
