The transition to electromobility presents OEMs with significant challenges: high warranty costs, complex software development processes, and inefficient testing strategies delay market launches and strain budgets. This presentation introduces innovative solutions that drastically reduce development time and costs. By shifting validation activities to laboratory environments, applying AI-based aging predictions, optimizing testing and calibration processes, and transforming software lifecycle management, product quality can be significantly improved while reducing warranty risks. These methods enable faster time-to-market for electric vehicles and ensure the long-term competitiveness of OEMs in the BEV segment.

• Understand how AI-based methods can accelerate and improve battery aging predictions
• Learn how to reduce testing time by up to 50% and model integration time by 40%
• Discover how early fault detection can save OEMs hundreds of millions of dollars in warranty and recall costs
• Gain insights into the shift from hardware-centric to software-centric development through seamless automation
• Understand how to shorten software update cycles from months to days while maintaining regulatory compliance