TWAICE supports enterprises across industries with predictive battery analytics software based on digital twins. We empower our customers to develop and use battery systems more efficiently and sustainably while making them more reliable and durable. Precise predictions of battery conditions and aging significantly optimize battery development and use. Exact determination of current condition also enables certification of batteries for reuse and 2nd life.
The digital twin can essentially be thought of as a model-based image of the actual battery. It is continuously updated with measurement data from the operation. Thus, one always knows the current state of the battery system and can predict further aging. This knowledge helps in two major areas: developing a battery and monitoring its operation.
To determine the health of a battery, the TWAICE software handles many factors that affect its lifespan and performance. Such as the way the battery is charged. Fast charging, moreover, in the cold, wears the material faster than a gentle charging process.
TWAICE supports enterprises across industries with predictive battery analytics software based on digital twins. We empower our customers to develop and use battery systems more efficiently and sustainably while making them more reliable and durable. Precise predictions of battery conditions and aging significantly optimize battery development and use. Exact determination of current condition also enables certification of batteries for reuse and 2nd life.
The digital twin can essentially be thought of as a model-based image of the actual battery. It is continuously updated with measurement data from the operation. Thus, one always knows the current state of the battery system and can predict further aging. This knowledge helps in two major areas: developing a battery and monitoring its operation.
To determine the health of a battery, the TWAICE software handles many factors that affect its lifespan and performance. Such as the way the battery is charged. Fast charging, moreover, in the cold, wears the material faster than a gentle charging process.
TWAICE was founded in 2018 as a spin-off from Technical University of Munich and is headquartered in Munich. The client base covers a vast array of industries ranging from e-scooters over automotive to stationary energy storage.
TWAICE offers an advanced cloud-based predictive analytics platform for li-ion batteries based on digital twins. Physical & AI driven ageing and lifetime predictions allow optimization of use along the complete lifecycle, thus enabling prolonged battery life and reduced total cost of ownership.