This paper presents a connection failure detection for a Lithium-ion battery pack when no external vibrations exist. First, the gradient correction method is employed to identify the overall ohmic resistance, which is the summation of the internal and external (contact) resistance. Second, the battery state of health (SOH) is
Customer ServiceReview—Lithium Plating Detection Methods in Li-Ion Batteries, Umamaheswari Janakiraman, Taylor R. Garrick, Mary E. Fortier . Review—Lithium Plating Detection Methods in Li-Ion Batteries, Umamaheswari Janakiraman, Taylor R. Garrick, Mary E. Fortier. Skip to content. IOP Science home Accessibility Help. Search all IOPscience content Search. Article Lookup.
Customer ServiceEstablishing an effective model for parallel-connected battery packs remains unsolved due to the coupling effect between battery cells in a pack. To tackle this issue, one can leverage the property of the same terminal voltage for diagnosis. Moreover, acquiring branch current information is challenging or nearly impossible in parallel-connected
Customer ServiceDOI: 10.1016/j.jclepro.2020.120277 Corpus ID: 213338368; Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections @article{Yue2020InternalSC, title={Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections}, author={Pan Yue and Xuning Feng and Zhang Mingxuan and Xuebing Han and
Customer ServicePDF | On Oct 31, 2019, Xiaopeng Tang and others published Connection Failure Detection for Lithium-ion Batteries Based on DBSCAN-Projection Method | Find, read and cite all the research you need
Customer ServiceThis paper proposes a method of fault detection of the connection of Lithium-Ion batteries based on entropy for electric vehicle. In electric vehicle operation process, some factors, such...
Customer ServiceExperiments show that the proposed connection failure detection for a Lithium-ion battery pack when no external vibrations exist can identify the location of the connection failure well in real time. This paper presents a connection failure detection for a Lithium-ion battery pack when no external vibrations exist. First, the gradient correction method is employed to
Customer ServiceEstablishing an effective model for parallel-connected battery packs remains unsolved due to
Customer ServiceXu et al. (2024b) proposed a multi-objective nonlinear fault detection observer for lithium-ion batteries, developing a high-precision, For instance, at 736 s, the connection between batteries is intentionally disconnected to simulate an open circuit fault, with the fault duration set to 30 s,
Customer ServiceLithium-ion batteries (LIBs) have been extensively used in electronic devices, electric vehicles, and energy storage systems due to their high energy density, environmental friendliness, and longevity. However, LIBs are sensitive to environmental conditions and prone to thermal runaway (TR), fire, and even explosion under conditions of mechanical, electrical,
Customer ServiceThis paper presents a connection failure detection for a Lithium-ion battery pack when no external vibrations exist. First, the gradient correction method is employed
Customer ServiceIn this article, an online multifault diagnosis strategy based on the fusion of model-based and entropy methods is proposed to detect and isolate multiple types of faults, including current, voltage, and temperature sensor faults, short-circuit faults, and connection faults.
Customer ServiceXu et al. (2024b) proposed a multi-objective nonlinear fault detection observer for lithium-ion batteries, developing a high-precision, For instance, at 736 s, the connection between batteries is intentionally disconnected to simulate an open circuit fault, with the fault duration set to 30 s, causing the current to return to zero. At 2947 s, a circuit breaker is connected in parallel with
Customer ServiceXue, Q. et al. Fault diagnosis and abnormality detection of lithium-ion battery packs based on statistical distribution. J. Power Sources 482, 228964 (2021). Article CAS Google Scholar Zheng, Y
Customer ServiceThis paper provides a comprehensive review of various fault diagnostic algorithms, including model-based and non-model-based methods. The advantages and disadvantages of the reviewed algorithms, as well as some future challenges for Li-ion battery fault diagnosis, are also discussed in this paper.
Customer ServiceDans le dernier article, nous avons présenté le connaissances techniques approfondies sur la cellule lithium-ion, nous commençons ici à introduire davantage la carte de protection de la batterie au lithium et les connaissances techniques du BMS.Ceci est un guide complet de ce résumé du directeur R&D de Tritek. Chapitre 1 L''origine du panneau de protection
Customer ServiceFault detection/diagnosis has become a crucial function of the battery management system (BMS) due to the increasing application of lithium-ion batteries (LIBs) in highly sophisticated and high-power applications to ensure the safe and reliable operation of
Customer ServiceFew literatures have studied battery pack connection failures. For instance, Yao et al. [51] proposed a method of connecting fault detection of lithium-ion batteries based on Shannon entropy for EVs and simulated the battery charging and discharging process under vibration environment.
Customer ServiceHere, we develop a realistic deep-learning framework for electric vehicle (EV)
Customer ServiceHere, we develop a realistic deep-learning framework for electric vehicle (EV) LiB anomaly detection. It features a dynamical autoencoder tailored for dynamical systems and configured by social...
Customer ServiceThis paper presents a connecting fault detection method of lithium-ion power
Customer ServiceThis paper presents a connecting fault detection method of lithium-ion power batteries in series. The cross-voltage test is adopted to distinguish contact resistance increases and internal resistance increases fault. The battery voltage and negative surface temperature are collected by battery test system and auxiliary channels
Customer ServiceAbnormalities in individual lithium-ion batteries can cause the entire battery pack to fail, thereby the operation of electric vehicles is affected and safety accidents even occur in severe cases. Therefore, timely and accurate detection of abnormal monomers can prevent safety accidents and reduce property losses. In this paper, a battery cell anomaly detection
Customer ServiceThis research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. With a scarcity of specific defect data, we introduce an innovative Cross-Domain Generalization (CDG) approach, incorporating Cross-domain Augmentation, Multi-task Learning, and Iteration Learning.
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