Porsche says AI use speeds up vehicle development and calibrations

Porsche Engineering has developed an AI-based software called PERL (Porsche Engineering Reinforcement Learning) to streamline the calibration process for modern vehicles. PERL reduces the need for bench tests and test drives, which are time-consuming and expensive.

PERL uses deep reinforcement learning to analyze data and suggest optimal calibration settings for various vehicle functions. This allows engineers to achieve better results in a shorter amount of time. PERL has already been successfully used in two customer projects and Porsche plans to expand its use in the future.

While PERL cannot eliminate the need for physical testing, it can significantly reduce the amount of time and resources required for calibration. This can lead to faster development cycles and more efficient use of engineering resources. PERL is also expected to help meet stricter emission standards.

At CmySkills, we always try to stay in tune with the latest technology transforming the automotive industry. If you found this blog post insightful, don’t forget to share it with your network!

For those interested in staying updated with trends in the automotive repair industry, make sure to follow us on Instagram @CmySkills.   For more insights into the automotive repair industry, stay tuned to our blog at CmySkills.com, join the conversation on our Facebook Auto Technician forum, and follow us on our rapidly growing groups on Instagram, TikTok, and LinkedIn.

Read more: https://lnkd.in/eaatCctj

#PorscheEngineering#AI #calibration#autonomousvehicles #efficiency #emissions