This webinar elaborates how to better analyse data using AI in the context of battery testing. The webinar discusses the rationale behind the need for better data analysis, including the remaining useful life of a battery as determined by its health.
The battery is the most expensive component of a BEV, and there are challenges in cell selection, including cell chemistry, cell design, capacity performance, capacity degradation and predicted cell life. AVL Data Analytics™️ can accelerate development cycles and set new standards for analysing and processing battery data.
Dr. Nikolaus Keuth
Department Manager Product, Solution Management and Support
AVL