Aug 2026· Energy Storage· 0 citations· 23 references
Abstract
Internal short circuits (ISCs) in lithium‐ion batteries (LIBs) pose a significant safety threat, necessitating rapid and reliable diagnostic methods. This paper proposes an improved diagnostic model that leverages the electrochemical characteristics of the constant current constant voltage (CCCV) charging phase. By using the pseudo‐steady‐state properties of the constant current stage, the proposed model reduces the system state vector from four dimensions to two dimensions and directly observes the short‐circuit current as a state variable. A Recursive Least Squares (RLS) algorithm is then employed to identify the short‐circuit resistance while suppressing sensor‐noise interference. Experimental results show that the proposed method substantially shortens the detection time and improves resistance‐identification accuracy compared with the traditional second‐order RC‐model‐based method. In addition, the proposed model reduces the theoretical computational cost from 553 to 129 FLOPs per iteration, supporting online implementation in battery management systems.
Internal short-circuit (ISC) faults in lithium-ion batteries shorten service life and may cause severe safety issues such as thermal runaway. Therefore, this study proposes a purely data-driven method based on terminal voltage during charging. The analysis focuses on the stable mid-to-late stage of low-rate constant-cu...
S. Duan, Yizhen Qu, Ye Liu et al.· Engineering Research Express· 0 citations
Accurate diagnosis of micro short-circuits (MSCs) is essential for ensuring the safety of lithium-ion batteries used in electric vertical take-off and landing (eVTOL) aircraft. Unlike conventional electric vehicles, eVTOL batteries normally operate under high-rate discharge conditions, where strong polarization and rap...
Pin-Jie Shangguan, Ze-Yu Chen, Hao-Jie Li et al.· Batteries· 0 citations
Reliable experimental platforms are essential for lithium-ion (Li-Ion) battery characterization, equivalent circuit model (ECM) identification, and state-of-charge (SOC) estimator validation. However, access to commercial battery cyclers and high-end instrumentation can be limited in academic and applied research envir...
Jhoan Sebastián Valderrama-Vélez, K. Lemmel-Vélez, Juan Camilo Mazo-Arenas et al.· Clean Technology· 0 citations
Lithium-ion batteries (LiBs) are most favored storage systems used extensively in electric cars (EVs), energy storage systems for renewables, and mobile phones, providing high energy density, high capacity, and efficiency. Accurate State of Charge (SoC) estimation is essential for the effective operation of Battery Man...
R. Sasikala, G. M· 2026 International Conferenc...· 0 citations
Accurate battery state estimation is essential for electric-vehicle battery management systems (BMSs), directly improving their safety, durability, and operational reliability. This study proposes an integrated degradation-diagnosis framework that is, to our knowledge, among the first to combine electrochemical impedan...
This paper provides a systematic review of the research progress and challenges in lithium-ion battery state-of-health (SOH) assessment based on electrochemical impedance spectroscopy (EIS). The study notes that SOH, as a core metric for assessing battery degradation and remaining lifespan, is evaluated through param...
Shun-Li Wang, Lin-Zhi Li, Liya Zhang et al.· Journal of Energy Engineerin...· 0 citations
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