Modeling of RF emissions from e-axis (MORFex)

Background

Electromagnetic interference (EMI) from electric drive systems is an increasing challenge for the automotive industry. Higher interference levels from modern power electronic components, especially in voltage converters, place greater demands on filtering. At the same time, designs are constrained by strict weight and volume requirements, making traditional EMI filters both costly and difficult to optimize.

In today’s development process, EMI is rarely considered an integrated design feature in the early stages. Instead, it is evaluated late through experimental tests on physical prototypes—a method that is both time-consuming and expensive. This often leads to late design changes and suboptimal solutions.

Project objectives

The project aims to change this approach by identifying which parameters in the electric drive system—such as the design of the electric machine and inverter—have the greatest impact on EMI. By integrating this knowledge early in the design process, interference can be prevented rather than corrected later.

Using advanced system modeling tools, including machine learning, methods are being developed to optimize parameters and minimize EMI. The result is a more efficient development process, enabling electric drive systems to be designed faster to meet EMC requirements while reducing the need for extensive prototype testing.

The project is expected to contribute to lower development costs, reduced environmental impact, and improved performance in future electrified vehicles.

Role of SEEL in the project

RISE and SEEL are responsible for characterizing components in electric drivetrains, supporting Volvo Cars and Scania in developing EMC simulation models, and providing advice on design changes that can improve EMC performance.

Project partners

Volvo Cars, Scania AB, Chalmers University of Technology, RISE Research Institutes of Sweden, Nexans, Roxtec International AB, Provinn AB.