Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries

24 December 2021

Papers citing "Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries"

4 / 4 papers shown

Title
Diagnostic-free onboard battery health assessment Yunhong Che Vivek N. Lam Jinwook Rhyu Joachim Schaeffer Minsu Kim M. Bazant W. Chueh R. D. Braatz 50 0 0 10 Mar 2025
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework Xia Chen A. Rex Janis Woelke Christoph Eckert B. Bensmann R. Hanke‐Rauschenbach Philipp Geyer 37 0 0 24 Jan 2024
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model M. Hassanaly Peter J. Weddle Ryan N. King Subhayan De Alireza Doostan Corey R. Randall Eric J. Dufek Andrew M. Colclasure Kandler Smith 18 7 0 28 Dec 2023
Toward High-Performance Energy and Power Battery Cells with Machine Learning-based Optimization of Electrode Manufacturing M. Duquesnoy C. Liu Vishank Kumar E. Ayerbe A. Franco 13 2 0 07 Jul 2023