Durability testing represents a significant part and cost of the electric vehicle development process and should be optimized as much as possible.
These tests are typically carried out automatically around the clock without operator intervention. Therefore, robust solutions are needed to detect and react to any problems occurring in the testbed.
In this free webinar, AVL’s Matthieu Clauet and Hongbo Sun explain customer pain points during the durability testing process and how to achieve optimum validation and development results using artificial intelligence.
Key topics and takeaways:
- Understanding the challenges when moving from a V-model to an agile development process
- State-of-the-art durability testing using AI
- Improved test efficiency due to early ageing detection
- Testbed solutions specifically designed for durability testing (Back-to-Back)