A review on the key issues of the lithium ion battery degradation among the whole life cycle

Li-ion battery materials: present and future

Nitta, N., Wu, F., Lee, J. T., & Yushin, G. N. (2014) · Materials Today · doi:10.1016/j.mattod.2014.10.040 · Cited by 7,659

Lithium Batteries: Status, Prospects and Future

Scrosati, B., & Garche, J. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.11.048 · Cited by 5,153

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

Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.10.060 · Cited by 4,837

Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell

Doyle, M., Fuller, T. F., & Newman, J. (1993) · Journal of The Electrochemical Society · doi:10.1149/1.2221597 · Cited by 4,328

Ageing mechanisms in lithium-ion batteries

Vetter, J., Novák, P., Wagner, M. R., Veit, C., Möller, K.-C., Besenhard, J. O., Winter, M., Wohlfahrt-Mehrens, M., Vogler, C., & Hammouche, A. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2005.01.006 · Cited by 3,987

A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries

Verma, P., Maire, P., & Novák, P. (2010) · Electrochimica Acta · doi:10.1016/j.electacta.2010.05.072 · Cited by 2,661

Comparison of the structural and electrochemical properties of layered Li[NixCoyMnz]O2 (x = 1/3, 0.5, 0.6, 0.7, 0.8 and 0.85) cathode material for lithium-ion batteries

Noh, H.-J., Youn, S., Yoon, C. S., & Sun, Y. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.01.063 · Cited by 2,305

Battery Separators

Arora, P., & Zhang, Z. (2004) · Chemical Reviews · doi:10.1021/cr020738u · Cited by 2,183

The state of understanding of the lithium-ion-battery graphite solid electrolyte interphase (SEI) and its relationship to formation cycling

An, S. J., Li, J., Daniel, C., Mohanty, D., Nagpure, S., & Wood, D. L. (2016) · Carbon · doi:10.1016/j.carbon.2016.04.008 · Cited by 2,121

Degradation diagnostics for lithium ion cells

Birkl, C. R., Roberts, M. R., McTurk, E., Bruce, P. G., & Howey, D. A. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.12.011 · Cited by 1,945

Electrochemical Failure Results Inevitable Capacity Degradation in Li-Ion Batteries—A Review

Li, W. S., Li, H., He, Z., Ji, W., Zeng, J. H., Li, X., Zhang, Y., Zhang, P., & Zhao, J. (2022) · Energies · doi:10.3390/en15239165 · Cited by 22

A Multi-Stage Adaptive Method for Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Swarm Intelligence Optimization

Bao, Q., Qin, W., & Yun, Z. (2023) · Batteries · doi:10.3390/batteries9040224 · Cited by 23

Robust adaptive sliding mode observer for core temperature and state of charge monitoring of Li-ion battery: A simulation study

Fereydooni, A., Vafa, E., Pishvaie, M., & Choobar, B. G. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107960 · Cited by 22

Health estimation of lithium-ion batteries with voltage reconstruction and fusion model

Liu, X., Li, S., Tian, J., Wei, Z., & Wang, P. (2023) · Energy · doi:10.1016/j.energy.2023.128216 · Cited by 21

Mitigation strategy for Li-ion battery module thermal runaway propagation triggered by overcharging

Li, K., Li, Y., Shen, W., Zhang, Y., Qu, X., Huang, J., Guojun, Y., & Lin, Y. (2024) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2024.108880 · Cited by 22

Direct Recycling of Cathode Materials from Spent Lithium‐Ion Batteries: Principles, Strategies, and Perspectives

Li, S., Wu, Z., Zhang, M., Xu, J., Jin, Z., Gan, Y., Xu, Z., Wang, Q., Zhang, W., Xia, Y., et al. (2025) · Chemistry - A European Journal · doi:10.1002/chem.202404461 · Cited by 22

Design and thermal analysis of Fin-PCM-integrated thermal management system for lithium-ion cylindrical battery pack

Narkhede, S., Sur, A., Kothari, G., & Netke, A. (2024) · Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering · doi:10.1177/09544089231221668 · Cited by 22

Study on the evolution laws and induced failure of series arcs in cylindrical lithium-ion batteries

Xu, W., Zhou, K., Li, Y., Gao, B., Wu, X., Rui, X., Wu, Y., Wang, H., Lu, L., & Ouyang, M. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.124562 · Cited by 21

An Overview of Remaining Useful Life Prediction of Battery Using Deep Learning and Ensemble Learning Algorithms on Data‐Dependent Models

Sravanthi, C. L., Sekhar, J. N. C., Alluraiah, N. C., Dhanamjayulu, C., Pujari, H. K., & Khan, B. (2025) · International Transactions on Electrical Energy Systems · doi:10.1155/etep/2242749 · Cited by 21

Optimized forgetting factor recursive least square method for equivalent circuit model parameter extraction of battery and ultracapacitor

Prasanthi, A., Shareef, H., Khalid, S. N., & Selvaraj, J. A.-L. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.116298 · Cited by 21

Robust and generalizable lithium-ion battery health estimation using multi-scale field data decomposition and fusion

Huang, X., Tao, S., Liang, C., Ma, R., Wang, X., Xia, B., & Zhang, X. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.236939 · Cited by 19

Spatially heterogeneous degradation in LiFePO 4 //graphite pouch batteries under temperature accelerated aging process

Zhou, J., Dong, J., Lu, Y., Kang, Y., Guan, Y., Zhao, F., Tang, R., Shen, W., Li, N., Su, Y., et al. (2025) · EES batteries. · doi:10.1039/d5eb00131e · Cited by 21

Progress and Challenges in Industrially Promising Chemical Vapour Deposition Processes for the Synthesis of Large-Area Metal Oxide Electrode Materials Designed for Aqueous Battery Systems

Vernardou, D. (2021) · Materials · doi:10.3390/ma14154177 · Cited by 21

A simple process to resynthesize the LiCoO2 and LiNi1/3Co1/3Mn1/3O2 compounds from the cathode material extracted from a batch of spent LCO batteries

Sita, L. E., dos Santos, C. S., da Silva, S. P., Lima, A. D. F., & Scarmínio, J. (2021) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2021.162350 · Cited by 21

Optimal Calibration of an Adaptive and Predictive Energy Management Strategy for Fuel Cell Electric Trucks

Ferrara, A., Zendegan, S., Koegeler, H.-M., Gopi, S., Huber, M., Pell, J., & Hametner, C. (2022) · Energies · doi:10.3390/en15072394 · Cited by 21

Simultaneous neutron and X-ray tomography for visualization of graphite electrode degradation in fast-charged lithium-ion batteries

Yusuf, M., LaManna, J. M., Paul, P. P., Agyeman-Budu, D. N., Cao, C., Dunlop, A. R., Jansen, A. N., Polzin, B. J., Trask, S. E., Tanim, T. R., et al. (2022) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2022.101145 · Cited by 21

Study on aging and external short circuit mechanisms of Li-ion cells with different electrode thicknesses

An, Z., Shi, T., Zhao, Y., Gong, Q., Zhang, D., Bai, J., & Du, X. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.121796 · Cited by 21

Electrochemical characterization tools for lithium-ion batteries

Ha, S., Pozzato, G., & Onori, S. (2023) · Journal of Solid State Electrochemistry · doi:10.1007/s10008-023-05717-1 · Cited by 21

Adaptive Online Gated Recurrent Unit for Lithium-Ion Battery SOC Estimation

Javid, G., Basset, M., & Abdeslam, D. O. (2020) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon43393.2020.9254506 · Cited by 21

Degradation mechanisms and differential curve modeling for non-invasive diagnostics of lithium cells: An overview

Santis, E. D., Vanessa, P., Luzi, M., & Rizzi, A. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.115349 · Cited by 21

Cloud-based estimation of lithium-ion battery life for electric vehicles using equivalent circuit model and recurrent neural network

Chen, Z., Chen, J., Zhu, Z., Chen, J., Lv, T., Qiao, D., & Zheng, Y. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.115718 · Cited by 20

Privacy-preserving federated semi-supervised learning for battery life prediction amid data scarcity

Ma, L., Tian, J., Zhang, T., Guo, Q., & Chung, C.-Y. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.117152 · Cited by 20

Lithium-Ion Battery Degradation and Capacity Prediction Model Considering Causal Feature

Tian, Y., He, J., Peng, Z., Guan, Y., & Wu, L. (2022) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2022.3166967 · Cited by 20

Investigating the thermal stability and explosion characteristics of electrolytes composed of different ratios of carbonate organic solvents

Huang, X.-H., Chung, Y.-H., Guo, G.-S., & Shu, C.-M. (2024) · Journal of Loss Prevention in the Process Industries · doi:10.1016/j.jlp.2024.105509 · Cited by 19

Entropy generation model to estimate battery ageing

Cuadras, Á., Jané, P. M., Ovejas, V. J., & Estrany, F. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101740 · Cited by 20

Tailoring Practical Solid Electrolyte Composites Containing Ferroelectric Ceramic Nanofibers and All-Trans Block Copolymers for All-Solid-State Lithium Metal Batteries

Ge, S., Wu, J., Wang, R., Zhang, L., Liu, S., Ma, X., Fu, K. K., Yan, J., Yu, J., & Ding, B. (2024) · ACS Nano · doi:10.1021/acsnano.4c02236 · Cited by 19

Data-driven vulnerability analysis of shared electric vehicle systems to cyberattacks

Wang, F., Zhuge, C., & Chen, A. (2024) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2024.104379 · Cited by 19

Impact of temperature and state-of-charge on long-term storage degradation in lithium-ion batteries: an integrated P2D-based degradation analysis

Asiri, M., Kedhim, M., Jain, V. D., Ballal, S., Singh, A., Kavitha, V. S. N. P., Ibragimovna, K. N., & Nourizadeh, M. (2025) · RSC Advances · doi:10.1039/d5ra03735b · Cited by 20

A review on electrochemical recycling of spent lithium-ion batteries electrode materials: technology innovation-driven resource closed-loop systems and sustainable development

Xu, S., Cai, J., Liu, T., An, G., Li, Y., Wang, Z., Liu, J., Li, Y., & Yan, X. (2025) · Separation and Purification Technology · doi:10.1016/j.seppur.2025.134721 · Cited by 22

Multicomponent synergistic Janus separator enabling rapid polysulfide conversion and free lithium dendrite for advanced lithium‑sulfur batteries

Guo, X., Chen, M., Yang, Z., Lu, S., Zhang, Y., & Fan, H. (2026) · Chemical Engineering Journal · doi:10.1016/j.cej.2026.172604 · Cited by 19

Two-Dimensional Black Phosphorus: Preparation, Passivation and Lithium-Ion Battery Applications

Li, H., Li, C., Zhao, H., Tao, B., & Wang, G. (2022) · Molecules · doi:10.3390/molecules27185845 · Cited by 19

External Liquid Cooling Method for Lithium-Ion Battery Modules Under Ultra-Fast Charging

Qin, Y., Xu, Z., Du, J., Guo, H., Lu, L., & Ouyang, M. (2022) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2022.3197391 · Cited by 19

Heat generation rates and anisotropic thermophysical properties of cylindrical lithium-ion battery cells with different terminal mounting configurations

Al‐Zareer, M., Ebbs-Picken, T., Michalak, A., Escobar, C., Silva, C. M. D., Davis, T., Osio, I. G., & Amon, C. H. (2023) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2023.119990 · Cited by 19

New Halide-Based Sodium-Ion Conductors Na3Y2Cl9 Inversely Designed by Building Block Construction

Xu, J., Wang, Y., Wu, S., Yang, Q., Fu, X., Xiao, R., & Li, H. (2023) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.3c01570 · Cited by 19

A method of lithium-ion battery failure diagnosis based on parameter boundaries of heterogeneous multi-physics aging model

Wang, Y., Li, J., Guo, S., Zhao, M. S., Cui, W., Li, L., Zhao, L., & Wang, Z. (2023) · Journal of Power Sources · doi:10.1016/j.jpowsour.2023.233235 · Cited by 19

Acid-scavenging separators promise long-term cycling stability of lithium-ion batteries

Li, P., Wang, Y., Liu, Z., & Hu, X. (2023) · Materials Chemistry Frontiers · doi:10.1039/d3qm00709j · Cited by 19

Life cycle optimization framework of charging–swapping integrated energy supply systems for multi-type vehicles

Zhu, F., Li, Y., Lu, L., Wang, H., Li, L., Li, K., & Ouyang, M. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.121759 · Cited by 19

Electric fleet charging management considering battery degradation and nonlinear charging profile

Shi, J., Zeng, T., & Moura, S. J. (2023) · Energy · doi:10.1016/j.energy.2023.129094 · Cited by 20

The effect of outer container geometry on the thermal management of lithium-ion batteries with a combination of phase change material and metal foam

Kurşun, B., Toklu, E., Polat, F., & Balta, M. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.110227 · Cited by 19

Thermal runaway propagation and combustion characteristics of enclosed LiNi0.8Co0.1Mn0.1O2 pouch battery modules in an open environment

Li, H., Gao, Q., Ling, J., Yan Fu, W. A. N. G., Xu, C., Lu, L., & Feng, X. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.110877 · Cited by 19

Synthetic Data-Integrated Li-Ion Battery Modeling for eVTOL Energy Systems

Qasem, M., Stoyanov, S., Ratrout, S., Haddadin, M., Yassin, Y., Chen, C., Al‐Hallaj, S., & Krishnamurthy, M. (2024) · IEEE Access · doi:10.1109/access.2024.3407016 · Cited by 19

Enhancing Energy Management Strategy for Battery Electric Vehicles: Incorporating Cell Balancing and Multi-Agent Twin Delayed Deep Deterministic Policy Gradient Architecture

Lotfy, A., Chaoui, H., Kandidayeni, M., & Boulon, L. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3427683 · Cited by 19

A combined trade-off strategy of battery degradation, charge retention, and driveability for electric vehicles

Tawfik, M. I., Ali, A. M., & Asfoor, M. S. (2024) · Scientific Reports · doi:10.1038/s41598-024-71711-w · Cited by 19

Exploring the Aging Dynamics of Lithium-Ion Batteries for Enhanced Lifespan Understanding

Madani, S. S., Allard, F., Shabeer, Y., Fowler, M. W., Panchal, S., Ziebert, C., Mekhilef, S., Dou, S. X., See, K. W., & Wang, Z. (2025) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2968/1/012017 · Cited by 19

Influence of state of health and individual aging mechanisms on the thermal conductivity of lithium-ion cells

Tendera, L., Wycisk, D., Gonzalez, C., Stadler, J., & Birke, K. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.106940 · Cited by 15

Wick-free vapor chamber featuring laser-textured surfaces: A new paradigm for ultra-thin high-efficiency heat spreaders

Pal, A., Mukhopadhyay, A., & Megaridis, C. M. (2024) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2024.124938 · Cited by 18

Carbonyl-rich covalent organic frameworks: A novel strategy for superior redox regulation in Li–S batteries

Chen, W., Fan, B., He, Q., Liu, W., Wei, Q., Xu, Z., & Zou, Y. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.161099 · Cited by 18

Towards digitized electrochemical power source for electric vehicles

Zhu, J., Xu, W., Tao, S., Cai, J., Shen, Y., Tian, M., Jiang, Y., Jiang, B., Wang, X., Schade, W., et al. (2025) · eTransportation · doi:10.1016/j.etran.2025.100426 · Cited by 19

Estimating the health status of lithium-ion batteries using deep learning method based on informer model

Kuang, D., Wang, Z., Zhao, Y., & Li, L. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.237176 · Cited by 19

High-temperature calendar aging at low state-of-charge: Electrochemical degradation, thermal safety implications, and optimal SOC ranges for lithium-ion battery storage and transport

Guo, J., Ping, P., Ren, J., Ren, X.-T., Gao, W., Kong, D., Wang, D., & Feng, Z. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.116988 · Cited by 18

Exploring the circular economy future of lithium-ion batteries in australia through comprehensive dynamic material flow analysis

Zhou, H., Li, W., Langdon, S., Singh, P. J., & Wang, P. (2025) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2025.108377 · Cited by 18

Advanced health management of lithium-ion batteries: Life extension using bidirectional pulse current regulation

Tang, S., Shi, S., Xu, X., Sun, X., Chang, J., Yu, C., Han, X., & Ouyang, M. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.117050 · Cited by 18

Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition

Fu, L., Jiang, B., Zhu, J., Wei, X., & Dai, H. (2025) · Batteries · doi:10.3390/batteries11060221 · Cited by 19

Long-term energy efficiency prediction for lithium-ion batteries through multi-feature fusion and deep learning

Lin, Z., Li, D., Liu, Z., & Zou, Y. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.117622 · Cited by 21

From Promise to Production: Strategy for Halide‐Based All‐Solid‐State Battery Pilot Lines

Liu, S., Zhou, L., & Neyts, K. (2025) · Advanced Energy Materials · doi:10.1002/aenm.202505286 · Cited by 18

Preheating strategy of variable‐frequency pulse for lithium battery in cold weather

Wu, X., Li, L., & Du, J. (2020) · International Journal of Energy Research · doi:10.1002/er.5715 · Cited by 18

An Experimental Study on Thermal Runaway Behavior for High-Capacity Li(Ni0.8Co0.1Mn0.1)O2 Pouch Cells at Different State of Charges

Li, C., Wang, H., Han, X., Wang, Y., Wang, Y., Zhang, Y., Feng, X., & Ouyang, M. (2020) · Journal of Electrochemical Energy Conversion and Storage · doi:10.1115/1.4048936 · Cited by 18

Energy Curtailment Scheduling MILP Formulation for an Islanded Microgrid with High Penetration of Renewable Energy

Park, W.-H., Abunima, H., Glick, M. B., & Kim, Y.-S. (2021) · Energies · doi:10.3390/en14196038 · Cited by 18

Enhancing Dispatchability of Lithium-Ion Battery Sources in Integrated Energy-Transportation Systems With Feasible Power Characterization

Gu, Y., Chen, Y., Wang, J., Xiao, W., & Chen, Q. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3195731 · Cited by 18

Towards the Intercalation and Lithium Plating Mechanism for High Safety and Fast-Charging Lithium-ion Batteries: A Review

Yan, C., & Zhang, Q. (2022) · Energy Lab · doi:10.54227/elab.20220011 · Cited by 20

Degradation diagnosis of lithium-ion batteries considering internal gas evolution

Ju, L., Li, X., Geng, G., & Jiang, Q. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108084 · Cited by 18

Voltage and temperature information ensembled probabilistic battery health evaluation via deep Gaussian mixture density network

Fei, Z., Huang, Z., & Zhang, X. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108587 · Cited by 18

Data selection framework for battery state of health related parameter estimation under system uncertainties

Fogelquist, J., & Lin, X. (2023) · eTransportation · doi:10.1016/j.etran.2023.100283 · Cited by 18

Anomalous calendar aging of Ni-rich cathode batteries: Focusing on structural degradation

Xu, X., Tang, S., Han, X., Wu, Y., Lu, L., Liu, X., Yu, C., Sun, X., Feng, X., & Ouyang, M. (2024) · Energy storage materials · doi:10.1016/j.ensm.2024.103198 · Cited by 18

Comprehensive study of the aging knee and second-life potential of the Nissan Leaf e+ batteries

Gao, W., Cao, Z., Fu, Y., Turchiano, C., Kurdkandi, N. V., Gu, J., & Mi, C. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234884 · Cited by 18

The relationship between failure mechanism of nickel-rich layered oxide for lithium batteries and the research progress of coping strategies: a review

Zhu, B., Yu, Z., Meng, L., Xu, Z., Lv, C., Wang, Y., Wei, G., & Qu, J. (2021) · Ionics · doi:10.1007/s11581-021-04019-8 · Cited by 18

Linear-PEI-Derived Hierarchical Porous Carbon Nanonet Flakes Decorated with MoS2 as Efficient Polysulfides Stabilization Interlayers for Lithium–Sulfur Battery

Gao, K., Xia, D., Ji, H., Chen, Y., Zhang, L., Wang, Y., Yi, S., Zhou, Y., Zhang, Z., Chen, D., et al. (2021) · Energy & Fuels · doi:10.1021/acs.energyfuels.1c01242 · Cited by 18

Model Construction and Dominant Mechanism Analysis of Li-Ion Batteries under Periodic Excitation

Wang, Z., Zhou, X., Sun, B., Zhang, W., Su, X., Shi, J., & Huang, Q. (2024) · Space Science & Technology · doi:10.34133/space.0129 · Cited by 17

From Waste to Wealth: A Review of Eutectic Molten Salt Method for Direct Regeneration of Spent Lithium‐Ion Battery

Wang, J., Qi, Z., Zhao, Q., & Shih, K. (2025) · Advanced Science · doi:10.1002/advs.202504609 · Cited by 18

Rapid battery pack state of health estimation for electric vehicles considering polarization features in multi-stage charging

Liu, J., Li, C., Liu, H., Che, Y., Li, J., Xie, Y., Wu, R., Yang, Y., & Hu, X. (2025) · Energy · doi:10.1016/j.energy.2025.138070 · Cited by 17

Temperature-dependent degradation mechanisms of LiFePO4/graphite batteries under multi-step fast charging protocols

Wang, X., Dong, J., Shi, Q., Lu, Y., Kang, Y., Guan, Y., Yang, X., Zhao, F., Li, N., Su, Y., et al. (2025) · eTransportation · doi:10.1016/j.etran.2025.100455 · Cited by 17

The impact of thermal damage accumulation on thermal runaway behavior of lithium-ion batteries

Xiao, Y., Liu, M., Lu, H., Gao, Z., Wang, D., Yang, F., Wang, J., Kou, Z., Huang, Z., Zhang, S., et al. (2025) · Energy · doi:10.1016/j.energy.2025.138812 · Cited by 17

Digital twins for battery health prognosis: A comprehensive review of recent advances and challenges

Wang, Y., Xiao, J., Soo, Y.-Y., Chen, Y., & Chen, Z. (2025) · eTransportation · doi:10.1016/j.etran.2025.100489 · Cited by 18

IC2ML: Unified battery state-of-health, degradation trajectory and remaining useful life prediction via intra-cycle and inter-cycle enhanced machine learning

Huang, X., Liang, C., Tao, S., Che, Y., Bian, N., Zhang, J., Wang, R., Zhang, Y., Xia, B., & Zhang, X. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.239148 · Cited by 18

Model-informed battery current derating strategies: Simple methods to extend battery lifetime in islanded mini-grids

Sowe, J., Barreras, J. V., Schimpe, M., Wu, B., Candelise, C., Nelson, J., & Few, S. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104524 · Cited by 17

Thermal characteristics of refrigerant flow boiling in two mini-channel heat sinks of different aspect ratios for battery thermal management

Wang, X., Zhang, H., Yi, Z., Huang, X., Guo, H., & Zhu, S. (2022) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2022.119173 · Cited by 17

Deep reinforcement learning for resilient microgrid expansion planning with multiple energy resource

Pang, K., Zhou, J., Tsianikas, S., & Ma, Y. (2022) · Quality and Reliability Engineering International · doi:10.1002/qre.3203 · Cited by 17

Aging diagnosis-oriented three-scale impedance model of lithium-ion battery inspired by and reflecting morphological evolution

Yang, B., Wang, D., Zhang, B., Chen, S., Sun, X., & Wang, T. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2022.106357 · Cited by 17

An ultrafast rechargeable and high durability lithium metal battery using composite electrolyte with the three-dimensional inorganic framework by Li6.4La3Zr1.4Ta0.6O12 surface functionalization

Liu, H., Zhao, M., Bai, X., Wang, P., Wang, X., & Li, J. (2023) · eTransportation · doi:10.1016/j.etran.2023.100234 · Cited by 17

Experimental Investigation for the Phase Change Material Barrier Area Effect on the Thermal Runaway Propagation Prevention of Cell-to-Pack Batteries

Shen, K., Sun, J., Xu, C., Shaw Kang, W. O. N. G., Zheng, Y., Jin, C., Wang, H., Chen, S., & Feng, X. (2023) · Batteries · doi:10.3390/batteries9040206 · Cited by 18

State of health estimation of lithium-ion battery considering sensor uncertainty

Zeng, Y., Meng, J., Peng, J., Feng, F., & Yang, F. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108667 · Cited by 17

Electric Vehicle Charging Station Infrastructure: A Comprehensive Review of Technologies, Challenges, and Mitigation Strategies

Yousuf, A. K. M., Wang, Z., Paranjape, R. B., & Tang, Y. (2023) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece58730.2023.10289005 · Cited by 17

Experimental study on suppressing thermal runaway propagation of lithium-ion battery modules by using liquid nitrogen: Influence of injection pipe diameter and position

Shi, B., Shen, W., Yin, B., Wang, Z., Ruan, H., Li, Z., & Huang, D. (2024) · Thermal Science and Engineering Progress · doi:10.1016/j.tsep.2024.102580 · Cited by 17

An online state-of-health estimation method for lithium-ion battery based on linear parameter-varying modeling framework

Li, Y., Wang, L., Feng, Y., Liao, C., & Yang, J. (2024) · Energy · doi:10.1016/j.energy.2024.131277 · Cited by 16

Analysis of State‐of‐Health Estimation Approaches and Constraints for Lithium‐Ion Batteries in Electric Vehicles

Vaghela, R., Ramani, P., Sarda, J. S., Hui, K. L., & Sain, M. (2024) · International Journal of Energy Research · doi:10.1155/2024/6488186 · Cited by 17

Scandium doping enables superior cycling performance of NiCo-LDHs-based supercapacitors via NH4Br-assisted electrodeposition

Hu, B., Hu, W., Qian, X., Zuo, M., Wu, Z. L., Song, Y., Zheng, Q., Shan, G., & Du, M. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112069 · Cited by 17

Early battery lifetime prediction based on statistical health features and box-cox transformation

Wang, Q., Xie, M., & Yang, F. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112594 · Cited by 17

Machine learning in advancing anode materials for Lithium-Ion batteries – A review

Islam, M. A., Ahsan, Z., Rahman, M., Abdullah, M. I., Rana, M., Hossain, N., & Chowdhury, M. A. (2024) · Inorganic Chemistry Communications · doi:10.1016/j.inoche.2024.113577 · Cited by 18

Unveiling the impact of electrolyte deficiency on uneven lithium plating in lithium-ion batteries: Integrating modeling and experimental validation

Chen, F., Wu, Z., Chen, T., Lu, K., Hua, J., Han, X., Ouyang, M., & Zheng, Y. (2025) · Energy · doi:10.1016/j.energy.2025.135464 · Cited by 17

Significant life extension of lithium-ion batteries using compact metallic lithium reservoir with passive control

Colclasure, A. M., Li, X., Cao, L., Finegan, D. P., Yang, C., & Smith, K. A. (2021) · Electrochimica Acta · doi:10.1016/j.electacta.2021.137777 · Cited by 19

Investigating the Degradation of Nb2O5 Thin Films Across 10,000 Lithiation/Delithiation Cycles

Andoni, I., Ziegler, J., Jha, G., Gadre, C. A., Flores-Zuleta, H., Dai, S., Qiao, S., Xu, M., Chen, V. T., Pan, X. Q., et al. (2021) · ACS Applied Energy Materials · doi:10.1021/acsaem.1c00580 · Cited by 17

Comparison of Lithium Diffusion in Isostructural Ta12MoO33 and Nb12MoO33: Experimental and Computational Insights from Single Crystals

Muhit, A. A., Wechsler, S. C., Bare, Z. J. L., Sturgill, C., Keerthisinghe, N., Grasser, M. A., Morrison, G. W., Sutton, C. A., Stefik, M., & Loye, H. Z. (2024) · Chemistry of Materials · doi:10.1021/acs.chemmater.4c02118 · Cited by 16

Research on thermal runaway propagation of lithium-ion batteries based on cold plate cooling and flame-retardant materials

Han, X., Li, C., Lyu, P., Li, M., Wen, C., & Rao, Z. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2024.115271 · Cited by 16

Advances of transmission electron microscopy research for lithium-ion batteries

Shen, Y. H., Zhang, J., Chen, S., Qu, K., Yang, Z., & Peng, Y. (2025) · Nano Energy · doi:10.1016/j.nanoen.2025.111065 · Cited by 17

Expansion Force‐Based Adaptive Multistage Constant Current Fast Charging with Lithium Plating Detection for Lithium‐Ion Batteries

Shen, Y., Wang, X.-Y., Li, Y., Zhang, Z., Tao, Z., Hou, Y.-N., Wei, X.-Z., & Dai, H.-F. (2025) · Advancement of science · doi:10.1002/advs.202504580 · Cited by 21

Forecasting battery capacity for second-life applications using physics-informed recurrent neural networks

Navidi, S., Bajarunas, K., Chao, M. A., & Hu, C. K. (2025) · eTransportation · doi:10.1016/j.etran.2025.100432 · Cited by 16

Sustainable Upcycling of Spent Graphite Anodes via Concentrated Sulfuric Acid

Gong, S., Zhao, Q., Fan, Y., Zhang, P., Dai, Y., Fan, R., Huang, Y., & Zhang, R. (2025) · Small · doi:10.1002/smll.202503988 · Cited by 16

Adaptive Fitting Capacity Prediction Method for Lithium-Ion Batteries

Chu, X., Fangyu, X., Liu, T., Shao, J., & Li, J. (2022) · Automotive Innovation · doi:10.1007/s42154-022-00201-4 · Cited by 16

State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles Based on Regional Capacity and LGBM

Zhang, Z., Wang, S., Lin, N., Wang, Z., & Liu, P. (2023) · Sustainability · doi:10.3390/su15032052 · Cited by 17

Li + Conduction in Glass-Forming Single-Ion Conducting Polymer Electrolytes with and without Ion Clusters

Liu, J., & Schaefer, J. L. (2023) · Macromolecules · doi:10.1021/acs.macromol.2c02516 · Cited by 16

Microwave-assisted binder decomposition

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Degradation mechanisms and performance merits of vehicular Lithium batteries: A comparative review

Ali, A. M., Elgouhary, N. H., Asfoor, M. S., & Tawfik, M. I. (2025) · Journal of Engineering Science and Military Technologies /Journal of Engineering Science and Military Technologies · doi:10.21608/ejmtc.2024.306186.1285

Lithium-Ion Battery Operation, Degradation, and Aging Mechanism in Electric Vehicles: An Overview

Guo, J., Li, Y., Pedersen, K., & Stroe, D. (2021) · Energies · doi:10.3390/en14175220 · Cited by 172

Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study

Timilsina, L., Badr, P. R., Hoang, P. H., Özkan, G., Papari, B., & Edrington, C. S. (2023) · IEEE Access · doi:10.1109/access.2023.3271287 · Cited by 215

Overview of Li-ion battery degradation

Dai, H., & Zhu, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15543-7.00002-9 · Cited by 2