Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries. [PDF]
Eltamaly AM, Almutairi Z.
europepmc +1 more source
Experimental characterization data for battery modules with parallel-connected cells across diverse module-level state of health and cell-to-cell variations. [PDF]
Zhou Q, Stephens D, Sun J.
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An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]
Mobasheri P, Aranizadeh A, Vahidi B.
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Enhancing Durability and Efficiency of Electrochemical Energy Devices (Batteries and Solid Oxide Cells) Through Thermal Spray Coating Technologies: A Review. [PDF]
Mehta A +5 more
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