BearingPoint and TWAICE have partnered to study the factors that influence batteries’ state of health in both the short and long runs, using predictive analytics.
The partnership provides an end-to-end perspective on battery analytics, monitoring and life cycle management through artificial intelligence. TWAICE delivers battery analytics with cloud-based software, enabling real-time simulations and predictions of battery aging processes. BearingPoint has experience in core automotive and e-mobility processes, and will help to integrate TWAICE software into existing and new business models.
Multiple use cases with predictive battery analytics can be realized, including R&D, production and fleet management. Another application area is the second life of batteries, which includes the integration of used batteries into energy storage systems.
BearingPoint’s Stefan Penthin said, “Partnering with TWAICE enriches our existing expertise in battery and predictive analytics to support our clients along the entire value chain. With the capability to combine technical know-how and business requirements, we enable our clients across industries to face the challenges of high-voltage battery management. Therefore, the usage and state-of-health are being analyzed, monitored and optimized, and the findings transferred into individually defined business use cases.”
TWAICE co-founder Michael Baumann added, “Players in the mobility and energy sectors are increasingly relying on batteries. Together with our partner BearingPoint, we can address the challenges associated with batteries, and enable OEMs, fleet managers, and energy providers to make a profitable transition to a battery-powered and electric future.”