Internal short circuit detection for battery pack using equivalent parameter and consistency method

A review on the key issues for lithium-ion battery management in electric vehicles

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Thermal runaway caused fire and explosion of lithium ion battery

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A comparative study of equivalent circuit models for Li-ion batteries

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Battery, ultracapacitor, fuel cell, and hybrid energy storage systems for electric, hybrid electric, fuel cell, and plug-in hybrid electric vehicles: State of the art

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Thermal runaway features of large format prismatic lithium ion battery using extended volume accelerating rate calorimetry

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Thermal-runaway experiments on consumer Li-ion batteries with metal-oxide and olivin-type cathodes

Golubkov, A. W., Fuchs, D., Wagner, J., Wiltsche, H., Stangl, C., Fauler, G., Voitic, G., Thaler, A., & Hacker, V. (2013) · RSC Advances · doi:10.1039/c3ra45748f · Cited by 910

Characterization of penetration induced thermal runaway propagation process within a large format lithium ion battery module

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Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring

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Quantitative Diagnosis of Micro-Short-Circuit Fault for Lithium-Ion Batteries Based on Correlation-Reconstructed Voltages

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Detection and Localization of Early Internal Short Circuits in Battery Packs Using Hybrid Machine Learning

Zhao, G., Du, W., Huang, P., Duan, B., Liu, K., & Zhang, C. (2025) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2025.3584357 · Cited by 8

Fault diagnosis method for lithium-ion batteries based on image features and improved isolated forests

Lv, L., Zhu, L., Gao, S., Xiang, X., Wang, L., Chang, C., Tian, A., & Jiang, J. (2025) · Energy · doi:10.1016/j.energy.2025.138849 · Cited by 8

Multi-States Fusion based Internal Short Circuit Fault Diagnostic for Lithium-Ion Battery

Hu, J. P., Wei, Z., & He, H. (2021) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce47101.2021.9596039 · Cited by 8

Life Cycle Identification of Internal Short Circuits of Lithium-ion Battery Based on Recursive Least Square Method

Jin, H., Ruifei, M., Qilin, C., Xueliang, F., Weifeng, Z., & Deng, Y. (2022) · Journal of Mechanical Engineering · doi:10.3901/jme.2022.17.096 · Cited by 8

Self-Discharge Observation for Onboard Safety Monitoring of Automotive Li-Ion Cells: Accelerated Procedures and Application Concept

Haußmann, P., & Melbert, J. G. (2018) · SAE International journal of alternative powertrains · doi:10.4271/2018-01-0449 · Cited by 8

The sensitive detection of the early-stage internal short circuit triggered by lithium plating through the simplified electrochemical model at various working conditions

Hou, L., Dong, A., Ma, R., Lin, H., & Deng, Y. (2024) · Energy · doi:10.1016/j.energy.2024.132141 · Cited by 7

Voltage drop screening for defective cells during the battery formation process

Lee, J., Yang, M.-J., Lee, D., Ha, S., Doo, S., Lee, S., & Shim, J.-H. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.117579 · Cited by 6

Minor fault diagnosis of lithium battery in an energy storage system based on multi-modal feature fusion aware transformer

Yang, P., Zhang, Y., Li, R., Luo, F., & Wang, M. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.238421 · Cited by 7

BattBee: Equivalent circuit modeling and early detection of thermal runaway triggered by internal short circuits for lithium-ion batteries

Kang, S., Tu, H., & Fang, H. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.127016 · Cited by 7

An experimental study on the failure behaviors of hybrid supercapacitors under overdischarge conditions

Wu, M., Xie, S., Yang, C., Xue, X., Li, H., Zhang, C., & Xu, J. (2023) · Ionics · doi:10.1007/s11581-023-05336-w · Cited by 7

Advanced Fault Diagnosis for Lithium-Ion Battery SystemsPreprint

Hu, X., Zhang, K., Liu, K., Lin, X., Dey, S., & Onori, S. (2020) · doi:10.36227/techrxiv.11777448 · Cited by 7

Fault diagnosis algorithm of electric vehicle based on convolutional neural network and long short-term memory neural network

Li, X., Zhang, Y., Wang, H., Zhao, H., Cui, X., Yue, X., & Ma, Z. (2024) · International Journal of Green Energy · doi:10.1080/15435075.2024.2395484 · Cited by 6

Machine learning-based early-stage internal short circuit detection of lithium-ion batteries using electrochemical impedance spectroscopy

Wang, D., Liang, X., Zhang, Q., Hao, Z., Chen, S., Hu, B., & Xiong, K. (2025) · Electrochimica Acta · doi:10.1016/j.electacta.2025.147641 · Cited by 6

A quantitative internal-short-circuit diagnosis method of lithium-ion batteries for float charging systems

Zhang, H., Lai, X., & Zhou, L. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112689 · Cited by 6

Efficient On-Board Health Monitoring for Multicell Lithium-Ion Battery Systems Using Gaussian Process Clustering

Kim, T., Kang, D.-W., Oh, C.-Y., Kim, M., & Baek, J.-W. (2018) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce.2018.8557769 · Cited by 6

An Online Model-Based Diagnosis Method for Micro-Short Circuits in Series-Connected Lithium-Ion Battery Packs

Shen, F., Dong, G., Zhu, Z., Sun, L. L., & Lou, Y. (2025) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2025.3577304 · Cited by 5

Two-step square wave testing: A 110-second method for diagnosing internal short circuit and two states of lithium-ion batteries

Cheng, P.-C., & Chen, K.-C. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.116003 · Cited by 5

Model-Free Quantitative Diagnosis of Internal Short Circuit for Sodium-Ion Batteries With Charging Capacity Difference Analysis

Liu, G., Gao, Z., Lin, M., Liu, X., & Wu, J. (2025) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2025.3555773 · Cited by 5

Detection of Low Electrolyte Level for Vented Lead–Acid Batteries Based on Electrical Measurements

Camargo, E., Visairo-Cruz, N., Nunez, C. A., Segundo‐Ramírez, J., Cuevas-Tello, J. C., & Mora, D. (2019) · Energies · doi:10.3390/en12234435 · Cited by 5

Improved internal short circuit detection method for Lithium-Ion battery with self-diagnosis characteristic

Hu, J. P., Wei, Z., & He, H. (2020) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon43393.2020.9254885 · Cited by 5

A Comprehensive Review on Advanced Fault Detection Techniques of Lithium-ion Battery Packs in Electric Vehicle Applications

Avinash, D. H., & Rammohan, A. (2023) · International Journal of Renewable Energy Research · doi:10.20508/ijrer.v13i2.13916.g8766 · Cited by 5

A Fault Diagnosis Method for Electric Vehicle Lithium Power Batteries Based on Dual-Feature Extraction From the Time and Frequency Domains

Chang, C., Dai, J., Pan, Y., Lv, L., Gao, Y., & Jiang, J. (2024) · Journal of Electrochemical Energy Conversion and Storage · doi:10.1115/1.4066479 · Cited by 5

Systematic Approach for the Test Data Generation and Validation of ISC/ESC Detection Methods

Klink, J., Grabow, J., Orazov, N., Benger, R., Hauer, I., & Beck, H.-P. (2023) · Batteries · doi:10.3390/batteries9070339 · Cited by 6

Synergistic internal temperature estimation and fault diagnosis of lithium-ion batteries via online sequential extreme learning machine

Chen, Z., Wang, K., Jiao, M., & Xiong, R. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.118750 · Cited by 4

Comparative Analysis of Cell-to-Cell Voltage and Internal Parameters Variation for the series/parallel battery pack

Kim, S., Lee, P., Kim, J., & Kim, W. (2019) · International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia) · doi:10.23919/icpe2019-ecceasia42246.2019.8797069 · Cited by 4

Electrical Analysis about internal short circuit using additional resistance in high energy lithium-ion battery

Han, S., Choi, C., Kwon, S., Lee, S., & Kim, J. (2020) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.23919/iccas50221.2020.9268389 · Cited by 4

Online Estimation of Internal Short Circuit Resistance for Large-Format Lithium-Ion Batteries Combining a Reconstruction Method of Model-Predicted Voltage

Chen, A., Zhang, W., Sun, B., Li, H., & Fan, X. (2022) · World Electric Vehicle Journal · doi:10.3390/wevj13090170 · Cited by 4

An application of Failure Modes, Effects and Criticality Analysis (FMECA) method to the assessment of Battery Life Cycle

Cristaldi, L., Molena, E., & Petkovski, E. (2022) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine54828.2022.9967691 · Cited by 4

Enhanced Internal Short Circuit Diagnosis of Lithium-Ion Batteries Using an Equivalent Circuit Model and Machine Learning algorithms

Noori, F., & Moeini‐Aghtaie, M. (2024) · International Conference on Technology and Energy Management (ICTEM) · doi:10.1109/ictem60690.2024.10631898 · Cited by 4

A hybrid approach on estimating state of charge of lithium-ion batteries based on data driven Model

Wang, Y., Zhao, J., Wang, D., & Zhu, C. (2019) · IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE) · doi:10.1109/iciscae48440.2019.221686 · Cited by 4

Detection and quantitative assessment of internal short circuits in lithium-ion battery packs based on differential voltage analysis and mahalanobis distance

Zhang, J., Li, J., Wang, Z., Li, Q., Yan, X., Lei, E., Ma, K., & Lyu, C. (2025) · International Journal of Electrochemical Science · doi:10.1016/j.ijoes.2025.101212 · Cited by 3

Interacting Multiple-Model Method for Fault Detection and Short Resistance Estimation in Parallel Connected Lithium-Ion Batteries

Movahedi, H., Ooi, X. H., Tran, V., Jeon, W., Siegel, J. B., & Stefanopoulou, A. G. (2025) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4070413 · Cited by 3

A data-driven framework for fast detection of high self-discharge anomalies in lithium-ion batteries

Liu, Z., Sun, C., Zhang, S., Liu, Y., & Wu, C. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.121249 · Cited by 3

Redundant Thermal Fault Diagnosis and Localization for Lithium-Ion Battery Strings

Guo, Z., Xu, J., Wang, X., Shi, C., Mubashir, M., Zhang, X., & Mei, X. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2024.3402709 · Cited by 3

Short-Circuit Detection in Lithium-Ion Batteries Using Machine Learning: Analysis and Comparison with Physics-Based Method

Patil, S. S., Bharathraj, S., Lee, M., Adiga, S. P., & Mayya, K. S. (2024) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ad81b3 · Cited by 3

Lithium-Ion Power Battery Grouping: A Multisource Data Fusion-Based Clustering Approach and Distributed Deployment

Wang, Y., Bai, X., Liu, C., & Jie, T. (2021) · Journal of Electrochemical Energy Conversion and Storage · doi:10.1115/1.4053307 · Cited by 3

An expeditious and simple scheme for measuring self‐discharge rate of lithium batteries

Zhou, H., Wu, H., Han, X., Zheng, Y., Yan, L., Lv, T., & Xie, J. (2022) · International Journal of Energy Research · doi:10.1002/er.8293 · Cited by 3

Identification of power battery voltage inconsistency faults in electric vehicles based on K-means++ clustering with dynamic k-values

JianBang, Z. E. N. G., ZHANG, Y., Zhang, Z., Shan, F., ZuYing, S. H. E. N., & Liu, X. (2022) · Scientia Sinica Technologica · doi:10.1360/sst-2022-0194 · Cited by 3

A Comparative Study on Model-based Diagnosis Methods of Overcharge-induced Damage for Li-ion Battery

Jiang, H., Li, J., Chai, Z., & Yang, Z. (2020) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc49329.2020.9164423 · Cited by 3

A novel battery active equalization-based internal short circuit fault diagnosis method for lithium-ion batteries

Liu, Z., Xu, J., Zhao, Z., Zou, Z., & Mei, X. (2025) · Energy · doi:10.1016/j.energy.2025.137421 · Cited by 2

Electrochemical Mechanism and Defect Detection for Lithium-Ion Cell Containing Copper Particles

Chen, S., Zhang, X., Fan, G., Yang, J., Wang, Y., Zhou, B., Ye, S., & Zhu, C. (2026) · Energies · doi:10.3390/en19112511 · Cited by 2

A sampling fault diagnosis method for power battery data in cloud platforms based on a ResNet–BiLSTM neural network

Jin, Y., Zhang, Z., Chang, B., Cao, R. W., Yu, H., Sun, Y., Liu, X., & Yang, S. (2025) · Energy Advances · doi:10.1039/d5ya00093a · Cited by 2

Micro short circuit diagnosis for lithium-ion batteries based on Hellinger distance and inverse Markov method

Liang, H., Gao, R., Chen, Z., Tao, Q., & Zhang, Z. (2025) · Green Energy and Intelligent Transportation · doi:10.1016/j.geits.2025.100364 · Cited by 2

A Lithium-Ion Battery Early-Stage Internal Short Circuit Fault Diagnosis Method Based on Discrete Probability Distribution Comparison

Li, G., Li, B., Chen, P., Li, C., Huo, Q., & Zeng, K. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3636656 · Cited by 2

Safe Discharging of a Lithium-Ion Battery Using Observer-Based Control Lyapunov Function and Barrier Function via Quadratic Programming

Moon, J., Bhaskar, K., & Rahn, C. D. (2025) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2025.12.330 · Cited by 2

Визначення параметрів електричних провідників при аварійному режимі роботи

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The multi-variable stepwise algorithm for internal short circuit detection in a serial battery pack with inconsistent state of health

Lin, H., He, J., Ni, H., Yu, Z., & Deng, Y. (2024) · Cleaner Energy Systems · doi:10.1016/j.cles.2023.100104 · Cited by 2

Fault Detection in Series Battery Modules: An Integrated Approach for Micro Short Circuits

Yen, J.-F., Luo, Y., Chen, G., & Liu, C. (2024) · IEEE Wireless Power Technology Conference and Expo (WPTCE) · doi:10.1109/wptce59894.2024.10557442 · Cited by 2

Investigation on Early-stage Internal Short Circuit Identification for Power Battery Pack

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Model-Based Multi-Fault Diagnosis for Lithium-Ion Battery Systems

Zhang, K., Hu, X., Deng, Z., & Lin, X. (2022) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2022-01-7034 · Cited by 2

Optimized LSTM based on an improved sparrow search algorithm for power battery fault diagnosis in new energy vehicles

Zhou, S., Zhou, J., Zhang, S., & Wang, P. (2024) · International Journal of Metrology and Quality Engineering · doi:10.1051/ijmqe/2024012 · Cited by 1

Study of Lithium-Ion Battery Internal Short Circuit Diagnosis Based on Multi-model Fusion Network Model

Zhang, Z., Zeng, Y., Liao, C., Yu, W., Zhu, W., Li, H., & Liu, Q. (2025) · International Journal of Automotive Technology · doi:10.1007/s12239-025-00378-7 · Cited by 1

Short-Circuit Diagnosis of Lithium-Ion Batteries Using Deep Isolation Forest in Energy Power Systems

Zhao, S. P., Peng, Q., Li, H., Wu, Y., & Liu, K. (2026) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2025.3645393 · Cited by 1

Comparative evaluation of data-based methods for detection of internal short circuits on cell-level

Klink, J., Benger, R., Beck, H.-P., & Hauer, I. (2026) · Future Batteries · doi:10.1016/j.fub.2026.100157 · Cited by 1

Multiphysics coupling mechanisms of electrochemical-thermal interactions in the internal short-circuit hotspot evolution of lithium-ion batteries

Ai, Y., Huang, P., Bai, Z., & Wang, Q. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.122809 · Cited by 1

Towards autonomous triaging for end-of-life EV components: a critical review and diagnostic-to-decision framework

Li, R., Liang, C., Fox, R., Jonsson, G., Goli, F., Aktas, E., & Wang, Y. (2026) · Cleaner Logistics and Supply Chain · doi:10.1016/j.clscn.2026.100348 · Cited by 1

Visualization analysis of research trends on thermal runaway warning of lithium-ion batteries: a bibliometric study

Zhang, M., Huang, Z., Peng, Q., Huang, L., & Yang, F. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.123501 · Cited by 1

Research on accurate fire detection & early warning model for lithium-ion battery packs

Miao, H. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2703/1/012068 · Cited by 1

A Method for Fault Simulation in Electric Batteries Using Real No-Fault Measurement Data

Jetti, H. V., Carbone, P., Angelis, A. D., & Fravolini, M. L. (2025) · IEEE International Workshop on Metrology for Automotive (MetroAutomotive) · doi:10.1109/metroautomotive64646.2025.11119263 · Cited by 1

An Online Detection Method of Short Circuit for Battery Packs

Ma, H., & Yang, Q. (2022) · Asia Energy and Electrical Engineering Symposium (AEEES) · doi:10.1109/aeees54426.2022.9759669 · Cited by 1

Structural Analysis for Fault Diagnosis and Sensor Placement in Battery Packs.Preprint

Cheng, Y., D’Arpino, M., & Rizzoni, G. (2020) · arXiv (Cornell University) · Cited by 1

Investigation on Internal Short Circuit Identification of Lithium-Ion Battery Based on Mean-Difference Model and Recursive Least Square Algorithm

Zhang, X., Pan, Y., Wang, E., Ouyang, M., Lu, L., Han, X., Jin, G., Zhou, A., & Yang, H. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.88534

Optimal Sensor Placement in Lithium-Ion Battery Pack for Fault Detection and IsolationPreprint

Cheng, Y., D’Arpino, M., & Rizzoni, G. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.10533

A Diagnostic Method of Internal Short Circuit Fault in Lithium-ion Battery

Chen, X., Li, X., Wang, Y., Tang, Y., & Sun, J. (2021) · CAA International Conference on Vehicular Control and Intelligence (CVCI) · doi:10.1109/cvci54083.2021.9661218

Comprehensive evaluation of cells inconsistency in Lithium-ion battery modulePreprint

Yang, Q., Zhang, W., Chen, Z., & Wang, Y. (2022) · doi:10.46855/energy-proceedings-9480

Big-data Analysis and Knowledge Discovery of Battery Fault in Numerous Real-world Electric Vehicles

Zhao, G., & Sun, Q. (2022) · International Conference on Information Economy, Data Modeling and Cloud Computing (ICIDC) · doi:10.4108/eai.17-6-2022.2322760

Detection of Soft Internal Short Circuit in Lithium-Ion Batteries with Varying State of Health Under Constant Current Charging and Discharging ModesPreprint

Lee, C.-G., Kim, T., & Park, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4581799

Lithium-Ion Cell of Electric Vehicle Short Circuit Caused by Electrolyte Leakage: Case Study and Online DetectionPreprint

Liu, X., Li, Y., Jiang, X., & Xu, K. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4644514

A Lithium Battery Fault Diagnosis Model Driven by Both Data and Models, Generated Based on Fault DataPreprint

Zhang, L., Wang, L., Zhang, J., Wu, Q., Jiang, L., Shi, Y., Lyu, L., & Cai, G. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4848357

Research of the electrical and thermal characteristics of the LiFePO4 battery with internal short circuit fault based on experimental and simulation methods

Zhang, A. B., Kang, B. J., Wang, C., Wang, D., & Zhu, E. G. (2024) · International Power Electronics and Motion Control Conference (EPE-PEMC) · doi:10.1109/ipemc-ecceasia60879.2024.10567380

Monitoring battery status and facility conditions

Tabassum, T., & Khalghani, M. R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99545-0.00003-8

Unscented Kalman Filter Based Short Circuit Fault Diagnosis of Lithium–ion Battery

Sadhukhan, C., Biswas, R. N., Mitra, S. K., & Naskar, M. K. (2024) · IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA) · doi:10.1109/icmica61068.2024.10732789

A Fast Diagnosis Method for Internal Short Circuit Fault in Energy Storage Batteries Based on Electrochemical Impedance Spectroscopy

Xu, C., Li, P., Da-wei, W., Chen, S., Li, X., & Sun, J. (2024) · International Conference on Smart Grid and Smart Cities (ICSGSC) · doi:10.1109/icsgsc62639.2024.10813917

Research on Internal Short-circuit Fault Diagnosis Based on Correlation Coefficient Method

Wang, S., Wang, R., Yuhao, W., Siwen, C., Shiyou, X., & Jinlei, S. (2024) · International Conference on Smart Grid and Smart Cities (ICSGSC) · doi:10.1109/icsgsc62639.2024.10813879

Model-Based Fault Diagnosis for Large-Scale Marine Battery Systems

Reiter, A., Lehner, S., Bohlen, O. S., & Sauer, D. U. (2024) · IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) · doi:10.1109/esars-itec60450.2024.10819841

Internal short circuit simulation analysis based on electrochemical-thermal coupling model

Liu, T., Yang, M., Liu, J., Shi, N., Zhang, M., & Shi, W. (2025) · International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI) · doi:10.1117/12.3054443

Enhancing Safety in Electric Vehicles: Multi-Tiered Fault Detection for Micro Short Circuits and Aging in Battery Modules

Luo, Y., Yen, J.-F., & Su, W.-C. (2025) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2025.061180

Safety of Power Battery Systems – Comprehensive Understanding and Response Strategies for Battery Safety

Wang, Q., Zhang, J., Zhang, J., Yang, G., & Qian, X. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-6444-3_18

Detection of Mechanical Stress-Induced Micro Short Circuits in Lithium-Ion Batteries Utilizing Hellinger Distance and Inverse Markov MethodPreprint

Liang, H., Gao, R., Chen, Z., Han, G., & Zhao, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5270689

Real-Time Anomaly Detection in Lithium-Ion Battery Systems utilizing Stream Computing

Zhang, L., Wu, Z., Zhang, C., Zhu, T., Zhang, W., Chen, Y., & Wen, T. (2025) · Asia Conference on Power and Electrical Engineering (ACPEE) · doi:10.1109/acpee64358.2025.11041174

Research progress on typical failure mode diagnosis and early warning of power battery for NEVs

Zhang, Z.-J., Cao, R., Gao, X., Yu, H.-Q., Jin, Y., Sun, Y.-F., Liu, X.-H., & Yang, S.-C. (2025) · Next Energy · doi:10.1016/j.nxener.2025.100390 · Cited by 3

Fault Detection and Identification of Lithium-Ion Battery Based on Improved Multiscale Fuzzy Distribution Entropy

Lv, L., Zhu, L., Li, Y., Wang, L., Chang, C., Tian, A., Li, L., & Jiang, J. (2025) · Journal of Electrochemical Energy Conversion and Storage · doi:10.1115/1.4069650

Research on the identification method of internal short circuit in large-sized lithium-ion batteries based on surface temperature diversity analysis

Wang, D., Jin, J., Duan, Z., Ruan, D., & Hong, X. (2025) · Engineering Research Express · doi:10.1088/2631-8695/ae06f2

Minor Fault Diagnosis of Lithium Battery with DOA-VMD-RNTransformer Hybrid Model

Zhang, Y., Yang, P., Li, R., Yang, W., & Chen, L. (2025) · Chinese Control Conference (CCC) · doi:10.23919/ccc64809.2025.11179763

Impedance Spectroscopy-Based Detection of Internal Short Circuits in Sodium-Ion Batteries for Safer Transportation Systems

Liu, K., Zhao, S. P., Du, L., Peng, Q., Duan, B., & Zhang, C. (2025) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce58356.2025.11260017

Multiphysics Coupling-Based Fault Diagnosis of Lithium-ion Batteries via Time-Frequency Neural Operators Employing Real Automotive DataPreprint

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Physics-Inspired Equivalent Circuit Modeling of Thermal Runaway Triggered by Internal Short Circuits in Lithium-Ion Batteries

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