Dr. Gerald Sammer
AVL
Day 2 (November 6, 2024)
12:10 p.m.
Palladium
Shortening ageing tests by 40% through the use of AI during testing
Cell ageing tests are time-consuming and slow down development. Accurate predictions of battery state of health (SOH) are critical to estimate battery life and gain a competitive advantage. This presentation introduces an AI-based method to shorten the test duration by learning the cell degradation relationships, enabling accurate predictions for the last 20-40% of the test time. In addition, more data on the causes of aging are collected during the shortened test time.
Curriculum vitae
Dr. Gerald Sammer is Principal Business Development Manager for Battery and BEV at AVL. He holds an M.Sc. in Computer Science and a Ph.D. in Economics. In his more than 30 years of professional experience, he has spent most of his time working with automotive technologies, with a focus on test methodology, AI and process efficiency. Gerald is also a member of the technical steering committee of the automotive standards organization ASAM.