ISMR December 2023 / January 2024 | Page 21

CONTROL TECHNOLOGIES

V-cycle ), engineering teams typically have an estimate of what they would like to see in their next generation of vehicles including mass , size , suspension technology etc . These early ideas need to be explored and analysed in the most efficient way possible to define the ideal design and configuration . Target setting for attributes such as optimal mass ; kinematics ; drivability ; ride and handling gives engineering teams subjective key performance indicators ( KPIs ) to meet . The earlier these targets can be met , the more time and cost savings a company can reap .
Ilsoo Jeong , comfort engineer , is part of the driving comfort virtual development team at Hyundai Motor Group . His team was tasked with target setting for chassis development of the Genesis GV 80 , which will be released in a future generation as an electric vehicle ( EV ).
“ Our goal was to achieve the best possible comfort and handling performance , so we had to consider hundreds of chassis parameters such as mass distribution , suspension kinematics and the mounting system ,” said Jeong . “ We also needed to consider how these designs and configurations would need to be changed considering the ICE will be replaced with a battery .
“ Additionally , we wanted the ability to perform sensitivity analyses to quickly understand how changes to the design of
Powered by AI , the effort to shift left is more urgent than ever as the world transitions to a more sustainable future with electrification one component may impact the performance of others . We realized that taking advantage of AI could help us accomplish this quickly and efficiently . We partnered with Simcenter Engineering and Consulting Services to build these neural networks because it had the most expertise in Simcenter Amesim , our preferred tool , and because of its vast expertise in the vehicle development process .”
EV architecture optimisation
In a separate project , the Simcenter Engineering Services team had collaborated with HMG engineers to develop an architecture in Simcenter Amesim™ software that could be used to evaluate a variety of vehicle manoeuvres and provide automatic post-processing . Simcenter and Simcenter Engineering Services are part of the Siemens Xcelerator business platform of software , hardware and services .
This architecture allowed criteria to be weighed separately , including 52 individual KPIs for each requirement , to achieve an
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