The design and development of EV batteries is a data-intensive process. In this podcast, experts discuss the latest advances in machine learning and artificial intelligence (AI) that are making it possible to use data to improve the performance, safety, and reliability of EV batteries.

Listen in as they explore the different types of data collected during the development of EV batteries, from characterizing materials and manufacturing to the electrochemical performance of the cells. Learn how this data can be used to identify correlations between different parameters and optimize the cell design. Find out why data trust is critical in developing EV batteries and how it can be built by using accurate measurement instruments and following best practices for data collection and analysis.

This podcast is essential listening for anyone who is interested in the future of EV batteries. It provides a comprehensive overview of the challenges and opportunities of using data to improve these important technologies.