Expediting e-powertrain durability testing with artificial intelligence


Durability testing represents a significant part and cost of the electric vehicle development process and should therefore be optimized as much as possible. Objective of durability tests is to validate the lifetime and reliability of components with stress tests, isolation failure insertions and temperature aging tests. These tests are mainly done in automatic 24/7 without operator intervention. Robust solutions are needed to detect and react on any problems occurring in the testbed. Durability for e-powertrain testing is taken to a new level thanks to AI-powered automation.

Key topics and takeaways:

• Understanding the challenges when moving from a V-model to an agile development process

• State-of-the-art durability testing based on AI

• More test efficiency thanks to early aging detection

• Testbed solutions specifically designed for durability testing (Back-to-Back)

• High degree of flexibility and customization to quickly change unit under tests

In this free, 60-minute webinar, Matthieu Clauet and Hongbo Sun, will explain customer pain points when it comes down to durability testing and how to achieve optimum validation and development results.

Recording available - 60 mins
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Meet our experts who are the presenters of this webinar.

Matthieu Clauet, Hongbo Sun

Presentation Expediting e-powertrain durability testing with artificial intelligence
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