Battery cost reduction of more than 80% and tripling of energy density in the last decade has put long range, cost effective EVs within reach for automotive industry. Still, large battery pack design, engineering, and large scale manufacturing for EVs continue to be extremely challenging. OEMs and tier suppliers are looking at new ways to pack more cells in a pack volume without sacrificing safety and reliability. They need to account for new material chemistries and system level implications for fast charging. In addition, battery packs must be meet crash requirements while reducing overall weight and avoiding vibration issues that may come with attaching heavy battery pack to vehicle body. Battery pack designs must be easy to manufacture and especially the EV startups and new battery suppliers must figure out how to scale up production. In contrast to today’s engineering development flow, there is growing need for these engineering teams to better collaborate to bring desired battery packs and electric vehicles to market. A comprehensive digital twin that allow companies to efficiently account for chemistry, electrical, electronics, thermal, structural and manufacturing considerations is critical to channel various innovations and accelerate product development. In this talk, I will present Siemens comprehensive, accurate and easily adaptable battery digital twin framework. With real use case examples, we will show how industry is starting to leverage this battery digital twin for innovative battery pack development and vehicle integration.