Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries. (arXiv:2112.12979v2 [cs.CE] UPDATED)

Mathematical modeling of lithium-ion batteries (LiBs) is a primary challenge
in advanced battery management. This paper proposes two new frameworks to
integrate physics-based models with machine learning to achieve high-precision
modeling for LiBs. The frameworks are characterized by informing the machine
learning model of the state information of the physical model, enabling a deep
integration between physics and machine learning. Based on the frameworks, a
series of hybrid models are constructed, through combining an electrochemical
model and an equivalent circuit …

arxiv batteries lithium-ion batteries machine machine learning modeling physics