AI-Powered OPED Software Slashes EV Powertrain Development from Months to a Day

TU Graz researchers have revolutionized electric vehicle powertrain development with OPED, an AI-driven system that rapidly optimizes components, reducing months of complex engineering work to just one day—saving time, costs, and resources.

OPED is also suitable for optimising an entire vehicle platform, identifying carry-over parts in the powertrains of different models. Image source: FTG - TU Graz

OPED is also suitable for optimising an entire vehicle platform, identifying carry-over parts in the powertrains of different models. Image source: FTG - TU Graz

The development of vehicle components is a lengthy and, therefore, very costly process. Researchers at Graz University of Technology (TU Graz) have developed a method that can shorten the development phase of the powertrain of battery electric vehicles by several months.

A team led by Martin Hofstetter from the Institute of Automotive Engineering is combining simulation models of components with evolutionary optimization algorithms. This AI system automatically optimizes the entire powertrain – from the power electronics to the electric machine through to the transmission – in line with the manufacturer's technical requirements, taking into account targets such as production costs, efficiency, and package space requirements in the vehicle. The OPED (Optimisation of Electric Drives) software solution was developed at TU Graz and is the result of almost ten years of research. It is already being used successfully by a renowned Austrian automotive supplier.

The starting point for automatic optimization is the input of the technical requirements that the powertrain must fulfill: these include the power output, the minimum service life, the maximum speed to be achieved, and the maximum space available in the vehicle. "Electric drives consist of a large number of components that can be designed very differently in order to fulfil the desired requirements," explains Martin Hofstetter. "If I make a small change to the electric machine, it will affect the transmission and the power electronics. So it's extremely complex to make optimal decisions." An additional difficulty is that there is no one perfect solution for a powertrain, as the manufacturers' priorities also play a role. These could be production costs, the weight and volume of the powertrain, or energy efficiency.

One day instead of several months

The OPED software solution makes it possible to reduce this complexity significantly. Based on the technical requirements, the software varies and combines around 50 design parameters simultaneously and compares the simulated powertrains with the manufacturers' priorities. Bad variants are dropped, and better ones are further optimized. After several hundred thousand calculation and simulation cycles, OPED finds solutions that come closest to the manufacturers' priorities. They can then select from a manageable number of variants those that they would like to develop and implement in detail. "What engineers would need months to do without AI support takes about a day with OPED," says Martin Hofstetter. "This allows the development teams to focus on top-level decisions instead of investing their limited time in manual calculation and simulation work."

Optimisation for an entire vehicle platform

The OPED system can also be flexibly expanded. As an optimization criterion, the researchers have added the CO2 emissions generated during the use of the powertrain as well as its production across the entire supply chain. This means that sustainability is already taken into account in the early development phase. As a recent innovation, Dominik Lechleitner has succeeded in extending OPED to optimize electric powertrains for an entire vehicle platform as part of his doctoral thesis. The method helps find optimal components that can be used as carry-over parts in the powertrains of different models of a platform to save development and production costs.

"The OPED approach can be used for a wide variety of product developments," explains Martin Hofstetter, "and we are happy to work with new industrial partners to adapt it to their challenges and goals."

Martin Hofstetter and Dominik Lechleitner were awarded the VDI Prize 2024 by the Association of German Engineers for their development. Martin Hofstetter also received the Kamm-Jante Medal of the Scientific Society for Automotive and Engine Technology (WKM) and the 1st Vehicle Association Anniversary Foundation Prize, awarded by the Austrian Economic Chamber's Automotive Industry Association.

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