Modeling, Reliability and Health Management of Lithium-Ion Batteries

As the global transition toward carbon neutrality accelerates, Lithium-ion batteries (LIBs) have become the cornerstone of electric mobility and renewable energy storage. However, ensuring their safety and maximizing their lifespan requires precise solutions for complex electrochemical and thermal c...

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Библиографические подробности
Формат:	Online
Язык:	английский
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Предметы:	Fault detection Sliding windows Relative entropy SOC estimation Short-circuit resistance estimation Battery model Lithium titanium oxide (LTO) batteries Rate characteristics Fast charging Multi-stage constant current (MCC) charging Li-plating SOC Aging Li–ion batteries Capacity prediction Feature extraction Data–driven Machine learning Li-ion battery Thermal runaway Operation environment Mathematical equation Evaluation modeling MATLAB SIMULINK Equivalent circuit model Lithium-ion battery Battery model parametrization Autoregressive exogenous model Least squares linear regression Optimization Electric vehicles Internal pressure Simulation Modeling Small-sample data Battery state of health Deep learning N A thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online-ссылка:	ONIX_20260416T142754_9783725861996_51
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Modeling, Reliability and Health Management of Lithium-Ion Batteries

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