BFH’s Contributions to Battery Tech in the BIG LEAP Project
BFH is the Bern University of Applied Sciences. In addition to teaching, their core competencies include continuing education, research and development and consulting services.
BFH is a leader in lithium-ion battery technology. Specializing in testing and modeling, BFH’s expertise lies in understanding degradation mechanisms and developing advanced State of Health (SOH) and State of Power (SOP) models. These models are meticulously designed to operate efficiently on both edge devices and cloud platforms. Read more about the work of BFH at the BIG LEAP Project.
- 1. What is the primary focus of BFH in the BIG LEAP project?
BFH’s primary focus in the BIG LEAP project is the development of State of Health (SOH) and State of Power (SOP) algorithms. SOH algorithm uses statistical data frames derived from operational data. These data frames serve as features for a Random Forest regression model, enabling the extraction of machine learning insights on how battery degradation correlates with operational practices. For the SOP algorithm, an innovative approach will be explored to measure impedance from the balancing circuit, providing a more accurate estimate of the power capabilities of second-life (SL) batteries.
- 2. How will BFH contribute to the development of new battery management systems (BMS) in the BIG LEAP project?
BFH’s approach focuses on optimizing data storage space on edge devices by capturing high-quality data in a compressed form such as histograms. These histograms are then transmitted to the cloud-based Battery Management System (BMS) for the development of battery analytics. These analytics aim to enhance operational efficiency and extend battery lifespan.
- 3. BFH will develop SOH and SOP models that run on both edge devices and the cloud. What specific strategy will BFH help define in the BIG LEAP project?
BFH will help define a hybrid model deployment strategy for SOH and SOP models in the BIG LEAP project. This strategy will aim to leverage the strengths of both edge and cloud computing environments.