Dual-time scale collaborative estimation of SOC and SOH for lithium-ion batteries based on FOMIRUKF-EKF DOI

Wenqi Guo,

Qingfan Wang,

Guishu Li

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 123, P. 110048 - 110048

Published: Dec. 31, 2024

Language: Английский

Convolutional preprocessing Transformer-based fault diagnosis for rectifier-filter circuits in nuclear power plants DOI
Fu Wang, Tangfan Xiahou, Zhang Xian

et al.

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 249, P. 110198 - 110198

Published: May 14, 2024

Language: Английский

Citations

11
Machine learning assisted multi-objective design optimization for battery thermal management system DOI
Xianlong Zhou, Weilong Guo, Xiangyu Shi

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 253, P. 123826 - 123826

Published: June 28, 2024

Language: Английский

Citations

6
Residual capacity estimation and consistency sorting of retired lithium batteries in cascade utilization process: a review DOI Open Access

Weicheng Kong,

Weiqiang Gong, Zihan Liu

et al.

Green Manufacturing Open, Journal Year: 2025, Volume and Issue: 3(1)

Published: Jan. 17, 2025

With the rapid popularization of new energy vehicles worldwide, demand for power lithium-ion batteries has surged. Consequently, industry is now facing challenge a large number retired lithium batteries. As these reach end their life cycle, efficiently utilizing residual value become key issue that needs to be resolved. This paper reviews issues in cascade utilization process at present stage. It focuses on development status and existing challenges capacity estimation methods consistency sorting technology. Based review, this also looks forward future research trend technology batteries, efficient will not only alleviate pressure resources but play positive role realizing goal carbon neutrality promoting green economy.

Language: Английский

Citations

0
Fault mitigation and diagnosis for lithium-ion batteries: a review DOI Creative Commons
K. Dhananjay Rao,

N. Naga Lakshmi Pujitha,

Madhusudana Rao Ranga

et al.

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

Citations

0
Multimodal temperature prediction for lithium-ion battery thermal runaway using multi-scale gated fusion and bidirectional cross-attention mechanisms DOI
Xiaoyu Li,

Chiton Gwan,

Shen Zhao

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 116, P. 116098 - 116098

Published: March 5, 2025

Language: Английский

Citations

0
Fault diagnosis of real-scenario battery systems in electric vehicles using the multi-scale fuzzy entropy algorithm DOI
Fengwei Liang, Jichao Hong, Xinyang Zhang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 151, P. 110670 - 110670

Published: April 4, 2025

Language: Английский

Citations

0
Research on state-of-health (SOH) assessment of batteries at variable sampling frequencies DOI Open Access
Zhong He

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 3000(1), P. 012054 - 012054

Published: April 1, 2025

Abstract This study investigates the impact of sampling frequency on accuracy battery State-of-Health (SOH) assessment, essential for dependability electric vehicles and energy storage systems. Our key contribution is identifying optimal SOH estimation without distortion, using variance as a feature value enhanced accuracy. The experimental data demonstrate that, upon weighing two factors measurement calculation efficiency, selection 0.025 V can achieve coordination between them. research highlights significance in prediction validates use neural networks accurate health offering insights optimizing management

Language: Английский

Citations

0
Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model DOI
Jinsong Ke,

Jianmei Zhao,

Hongfei Li

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 174, P. 108330 - 108330

Published: March 21, 2024

Language: Английский

Citations

3
Analysis and prediction of battery temperature in thermal management system coupled SiC foam-composite phase change material and air DOI
Xiaoyong Gu, Peng Ding,

Guojie Chao

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 104, P. 114503 - 114503

Published: Nov. 6, 2024

Language: Английский

Citations

3
Voltage fault diagnosis and prognostic of lithium-ion batteries in electric scooters based on hybrid neural network and multiple thresholds DOI
Hongqian Zhao, Zhigang Zhao, Xing Shu

et al.

Journal of Power Sources, Journal Year: 2024, Volume and Issue: 618, P. 235197 - 235197

Published: Aug. 13, 2024

Language: Английский

Citations

2