Advances and perspectives in fire safety of lithium-ion battery energy storage systems

eTransportation, Journal Year: 2025, Volume and Issue: unknown, P. 100390 - 100390

Published: Jan. 1, 2025

Language: Английский

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Study on the extreme early warning method of thermal runaway utilizing li-ion battery strain

Applied Energy, Journal Year: 2025, Volume and Issue: 384, P. 125494 - 125494

Published: Feb. 11, 2025

Language: Английский

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Pt_n (n = 1, 3, and 4) Cluster-Modified MoSe₂ Nanosheets: A Potential Sensing and Scavenging Candidate for Lithium-Ion Battery State Characteristic Gases

Langmuir, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Realizing reliable online detection of characteristic gases (H2, C2H4, CO, and CO2) in lithium-ion batteries is crucial to maintain the safe stable operation power equipment new energy storage plants. In this study, transition metal Ptn (n = 1, 3, 4) clusters are attached MoSe2 nanosheets for first time based on density functional theory using perfect crystalline facet modification method, adsorption characteristics electronic behaviors H2, CO2 investigated enhanced. The results show that reliably chemically connected substrate without any significant deformation geometry. properties as well band gap, DOS, LUMO-HOMO optimized modified Gas/Ptn 4)-MoSe2 system. large states near Fermi level further activated by process, Pt-MoSe2 Pt4-MoSe2 can serve battery state gas sensors suitably according needs specific target gases, whereas Pt3-MoSe2 be used a good adsorbent effective scavenging applied

Language: Английский

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Zinc-ion batteries at elevated temperatures: linking material design to wearable/biocompatible applications

Advanced Composites and Hybrid Materials, Journal Year: 2025, Volume and Issue: 8(1)

Published: Jan. 17, 2025

Language: Английский

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Universal Gas-Sensitive Detection of Various Lithium-Ion Battery Electrolyte Leakages via Ag@Ag₂O-Functionalized SnO₂ Nanoflowers with Abundant Oxygen Vacancies

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Lithium-ion batteries (LIBs) provide many benefits, but trace electrolyte leakage can cause serious safety risks such as thermal runaway. Although gas sensors offer a potential solution, the complexity of solvents in LIBs makes it challenging to develop sensing materials capable universally detecting multiple solvent molecules. Here, Ag@Ag2O-functionalized SnO2 nanoflowers were synthesized using self-template pyrolysis strategy for sensitive detection both common molecules and widely used electrolytes. These sensors, enhanced by abundant oxygen vacancies introduced Ag@Ag2O functionalization, exhibit excellent sensitivity, particularly dimethyl carbonate, with response 106-100 ppm, low limit 11.76 ppb, rapid response/recovery times (28/55 s) at an operating temperature 200 °C. The sensor performance was validated density functional theory calculations, which corroborated effectiveness material. In simulated LIB scenarios, puncture injection, demonstrated quick responses various compositions, indicating their practical applications. This study highlights effective method fabricating composite emphasizes significance our universal approach monitoring energy storage devices.

Language: Английский

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Research progress on early warning method and suppression technology of thermal runaway of lithium battery

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 119, P. 116377 - 116377

Published: March 30, 2025

Language: Английский

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Current Advances of CO Sensing Based on Low Dimensional Materials

Langmuir, Journal Year: 2024, Volume and Issue: 40(36), P. 18821 - 18836

Published: Aug. 28, 2024

Carbon monoxide (CO) is a harmful gas with significant impacts on human health and the environment. Its timely detection, especially in event of thermal runaway automotive lithium batteries, crucial to prevent casualties. This paper reviews progress development efficient, sensitive, reliable CO sensors, focusing electrochemical, optical, resistive sensing materials. Low-dimensional materials have large specific surface area, providing an abundant number active sites, which has drawn extensive attention from researchers. According different sensor signals, we categorized these sensors into electrical optical signal sensors. We hope that by systematically introducing mechanism performance two kinds appropriate can be developed application scenarios so as realize early warning monitoring maximum extent, reduce industrial losses, ensure life personnel.

Language: Английский

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Fault mitigation and diagnosis for lithium-ion batteries: a review

Frontiers in Energy Research, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 19, 2025

Due to their high energy density, long life cycle, minimal self-discharge (SD), and environmental benefits, lithium-ion batteries (LIBs) have become increasingly prevalent in electronics, electric vehicles (EVs), grid support systems. However, usage also brings about heightened safety concerns potential hazards. Therefore, it is crucial promptly identify diagnose any issues arising within these mitigate risks. Early detection diagnosis of faults such as Battery Management Systems (BMS) malfunctions, internal short circuits (ISC), overcharging, over-discharging, aging effects, thermal runaway (TR) are essential for mitigating risks preventing accidents. This study aims provide a comprehensive overview fault by meticulously examining prior research the field. It begins with an introduction significance LIBs, followed discussions on concerns, diagnosis, benefits diagnostic approaches. Subsequently, each thoroughly examined, along methods including both model-based non-model-based Additionally, elevates role cloud-based technologies real-time monitoring enhancing mitigation strategies. The results show how well approaches work increase LIB systems’ safety, dependability, economic feasibility while emphasizing necessity sophisticated growing use variety applications.

Language: Английский

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Development and Performance Optimization of Ionization-Based Aerosol Sensors Using Flexible Materials for Lithium-Ion Battery Safety Monitoring

Sensors and Actuators A Physical, Journal Year: 2025, Volume and Issue: unknown, P. 116445 - 116445

Published: March 1, 2025

Language: Английский

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Artificial Intelligence in Gas Sensing: A Review

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

The role of artificial intelligence (AI), machine learning (ML), and deep (DL) in enhancing automating gas sensing methods the implications these technologies for emergent sensor systems is reviewed. Applications AI-based intelligent sensors include environmental monitoring, industrial safety, remote sensing, medical diagnostics. AI, ML, DL can process interpret complex data, allowing improved accuracy, sensitivity, selectivity, enabling rapid detection quantitative concentration measurements based on sophisticated multiband, multispecies systems. These discern subtle patterns signals, to readily distinguish between gases with similar signatures, adaptable, cross-sensitive multigas under various conditions. Integrating AI technology represents a paradigm shift, achieve unprecedented performance, adaptability. This review describes while highlighting approaches AI–sensor integration.

Language: Английский

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