Keynote: Battery Insights at the Intelligent Edge Enabled by Analog Devices Precision Signal Chain and Physics-Based Modeling

In this keynote talk from the COMSOL Conference 2024 Boston, Jane Cornett of Analog Devices discusses the development of physics-based battery models (PbMs) as well as methods for enabling in-life parameter updates at the intelligent edge, or at the point where data is generated.

PbMs are used to model transport processes within a battery during its lifetime. Unlike more traditional equivalent circuit model (ECM)-based battery models, which only predict battery input and output behavior, PbMs model internal battery states. In her talk, Cornett discusses how PbMs can be limited by their parameterization. For instance, the number of parameters required can exceed 30, and a portion of the parameters will evolve throughout the lifetime of the battery. Therefore, model parameters must be updated throughout cell lifetime in order to maintain model accuracy. Cornett shares how Analog Devices uses COMSOL Multiphysics^® to develop models that include a method for in-the-field model updates based on observable data. She also discusses which parameters are identifiable and most likely to change with aging as well as which conditions are optimal for parameter identification.

Jane Cornett received a PhD in materials science with a focus on nanostructured thermoelectric materials from the University of Maryland. She joined Analog Devices in 2013 and has worked on a range of technologies (using the COMSOL Multiphysics^® software for each). Cornett is now part of the Battery Insights advanced technology team at Analog Devices, working on physics-based battery modeling for algorithm evaluation and development.