Electric motors: New Siemens software for better performance forecasts

Siemens is launching software on the market that will help manufacturers of electric vehicles and their suppliers predict the performance of electric motors, such as axial flux motors.

Image: Siemens Digital Industries Software

Specifically, the new ‘Simcenter E-Machine Design’ software is being marketed by subsidiary Siemens Digital Industries Software. It is a new solution from Siemens’ Xcelerator portfolio. According to Siemens, the industry software enables electromagnetic and thermal simulations and helps “reduce reliance on physical prototyping.”

The electric vehicle industry faces challenges from many directions – supply chain issues, the ability to scale and the drive for innovation by increasingly demanding customers, says Jean-Claude Ercolanelli, Senior Vice President of Simulation and Test Solutions, Siemens Digital Industries Software. “By adopting cutting-edge simulation capabilities to develop new products and technologies in shorter timescales than ever achieved, the EV industry can focus on delivering the innovation required to stay relevant in a rapidly changing market.”

Siemens particularly mentions axial flux motors. These could help to increase the range of electric vehicles due to higher power density, but have so far posed some problems. “Engineers adopting them face more challenging heat dissipation requirements (due to their compact size and complexity) and difficulties in accommodating the required air gap. The complex nature of these motors is challenging engineering departments and many are turning to advanced simulation to help reduce development costs and time,” says Siemens.

Siemens Digital Industries Software has been a Siemens subsidiary since 2007, focussing on the digital transformation of third-party companies. The offering includes software, hardware and services from the Siemens Xcelerator business platform. For example, customers from the battery and automotive industries use Siemens to automate their production processes. One example of this is the Porsche subsidiary Cellforce.



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