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

Li-ion battery materials: present and future

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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

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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

Lithium-Ion Battery Prognostics through Reinforcement Learning Based on Entropy Measures

Namdari, A., Samani, M. A., & Durrani, T. S. (2022) · Algorithms · doi:10.3390/a15110393 · Cited by 35

Experimental study on the cell-jet temperatures of abused prismatic Ni-rich automotive batteries under medium and high states of charge

Wang, H., Zhang, Y., Li, W., Gao, Z., Zhang, B., & Ouyang, M. (2021) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2021.117859 · Cited by 35

Interpretable deep learning for accelerated fading recognition of lithium-ion batteries

Wang, C., Chen, Y., Luan, W., Li, S., Yao, Y., & Chen, H. (2023) · eTransportation · doi:10.1016/j.etran.2023.100281 · Cited by 35

Current Situation and Development Prospects of Discharge Pretreatment during Recycling of Lithium‐ion Batteries: A Review

Shi, M., Ren, Y., Cao, J., Kuang, Z., Zhuo, X., & Xie, H. (2023) · Batteries & Supercaps · doi:10.1002/batt.202300477 · Cited by 35

Insight of the evolution of structure and energy storage mechanism of (FeCoNiCrMn)3O4 spinel high entropy oxide in life-cycle span as lithium-ion battery anode

Zhai, F., Zhu, X., Zhang, W., Cao, G., Zhang, H., Xing, Y., Xiang, Y., & Zhang, S. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234418 · Cited by 35

Hierarchical Energy Management of Hybrid Battery Storage Systems for PV Capacity Firming and Spot Market Trading Considering Degradation Costs

Wicke, M., & Bocklisch, T. (2024) · IEEE Access · doi:10.1109/access.2024.3387748 · Cited by 35

How does room temperature cycling ageing affect lithium-ion battery behaviors under extreme indentation?

Qu, Y., Xing, B., Xia, Y., & Zhou, Q. (2024) · eTransportation · doi:10.1016/j.etran.2024.100331 · Cited by 35

Analyzing the Effect of Electrolyte Quantity on the Aging of Lithium‐Ion Batteries

Lechtenfeld, C.-T., Buchmann, J., Hagemeister, J., Bela, M., van Wickeren, S., Stock, S., Daub, R., Wiemers-Meyer, S., Winter, M., & Nowak, S. (2024) · Advancement of science · doi:10.1002/advs.202405897 · Cited by 32

Degradation path prediction of lithium-ion batteries under dynamic operating sequences

Kim, I., Kim, H., An, S., Oh, J., Kim, M., & Choi, J. W. (2025) · Energy & Environmental Science · doi:10.1039/d4ee04787g · Cited by 38

Continuous modelling of cyclic ageing for lithium-ion batteries

Šeruga, D., Gosar, A., Sweeney, C. A., Jaguemont, J., Mierlo, J. V., & Nagode, M. (2020) · Energy · doi:10.1016/j.energy.2020.119079 · Cited by 35

A cloud-based energy management strategy for hybrid electric city bus considering real-time passenger load prediction

Shi, J., Xu, B., Zhou, X., & Hou, J. Y. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103749 · Cited by 35

Principle component analysis-based optimized feature extraction merged with nonlinear regression model for improved state-of-health prediction

Lee, P., Kwon, S., Kang, D., Cho, I., & Kim, J. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104026 · Cited by 35

Novel non-destructive detection methods of lithium plating in commercial lithium-ion batteries under dynamic discharging conditions

Pan, Y., Ren, D., Kuang, K., Feng, X., Han, X., Lu, L., & Ouyang, M. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.231075 · Cited by 35

Fault data generation of lithium ion batteries based on digital twin: A case for internal short circuit

Yuan, Z., Pan, Y., Wang, H., Wang, S., Peng, Y. L., Jin, C., Xu, C., Feng, X., Shen, K., Zheng, Y., et al. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107113 · Cited by 37

Health condition assessment of satellite li-ion battery pack considering battery inconsistency and pack performance indicators

Zhao, D., Zhou, Z., Zhang, P., Zhang, Y., Feng, Z., Yang, Y., & Cao, Y. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.106604 · Cited by 34

Joint modeling for early predictions of Li-ion battery cycle life and degradation trajectory

Chen, Z., Chen, L., Ma, Z., Xu, K., Zhou, Y., & Shen, W. (2023) · Energy · doi:10.1016/j.energy.2023.127633 · Cited by 35

Paradoxical role of structural degradation of nickel-rich layered oxides in capacity retention upon storage of lithium-ion batteries

Hyun, H., Yoon, H., Choi, S., Kim, J., Kim, S., Regier, T., Arthur, Z., Kim, S., & Lim, J. (2023) · Energy & Environmental Science · doi:10.1039/d3ee02334f · Cited by 35

Unveiling the determinants of battery electric vehicle performance: A systematic review and meta-analysis

Liu, F., Shafique, M., & Luo, X. (2024) · Communications in Transportation Research · doi:10.1016/j.commtr.2024.100148 · Cited by 42

Electric potential-determined redox intermediates for effective recycling of spent lithium-ion batteries

Hua, Y., Xu, Z., Zhao, B., & Zhang, Z. (2022) · Green Chemistry · doi:10.1039/d2gc00331g · Cited by 33

State of Health Estimation of Lithium-Ion Battery Based on Electrochemical Impedance Spectroscopy

Fan, M., Geng, M., Yang, K., Zhang, M., & Liu, H. (2023) · Energies · doi:10.3390/en16083393 · Cited by 34

Comprehensive analysis on aging behavior and safety performance of LiNixCoyMnzO2/graphite batteries after slight over-discharge cycle

Li, L., Zhou, X., Ju, X., Zhou, Z., Wang, B., Cao, B., & Yang, L. (2023) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2023.120172 · Cited by 33

A Data-Driven LiFePO4 Battery Capacity Estimation Method Based on Cloud Charging Data from Electric Vehicles

Zhou, X., Han, X., Wang, Y., Lu, L., & Ouyang, M. (2023) · Batteries · doi:10.3390/batteries9030181 · Cited by 34

Experimental and numerical investigation on the effect of cell arrangement on thermal runaway propagation in air cooled cylindrical Li-ion battery modules

Daniels, R. K., & Prabhakar, A. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108191 · Cited by 33

Early-stage degradation trajectory prediction for lithium-ion batteries: A generalized method across diverse operational conditions

Yang, X., Xie, H., Zhang, L., Yang, K., Liu, Y., Chen, G., Ma, B., Liu, X., & Chen, S. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234808 · Cited by 33

Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra

Guo, D., Yang, G., Zhao, G., Yi, M., Feng, X., Han, X., Lu, L., & Ouyang, M. (2020) · Energies · doi:10.3390/en13040915 · Cited by 33

Is Li/Graphite Half-Cell Suitable for Evaluating Lithiation Rate Capability of Graphite Electrode?

Zhang, S.-B. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab945e · Cited by 30

Microstructure-tuned cobalt oxide electrodes for high-performance Zn–Co batteries

Shang, W., Yu, W., Xiao, X. R., Ma, Y., Cheng, C. H., Dai, Y., Tan, P., & Ni, M. (2020) · Electrochimica Acta · doi:10.1016/j.electacta.2020.136535 · Cited by 33

Effect of Charging/Discharging Rate on the Thermal Runaway Characteristics of Lithium-Ion Batteries in Low Pressure

Xie, S., Ren, L., Gong, Y., Li, M., & Chen, X. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/abbfd8 · Cited by 33

Suitable various-goal energy management system for smart home based on photovoltaic generator and electric vehicles

Arab, M. B., Rekik, M., & Krıchen, L. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.104430 · Cited by 33

Compressing and reconstructing the voltage data for lithium-ion batteries using model migration and un-equidistant sampling techniques

Tang, X., Gao, F., & Lai, X. (2022) · eTransportation · doi:10.1016/j.etran.2022.100186 · Cited by 32

A Review on the Degradation Implementation for the Operation of Battery Energy Storage Systems

García-Miguel, P. L. C., Alonso-Martínez, J., Arnaltes, S., Plaza, M. G., & Asensio, A. P. (2022) · Batteries · doi:10.3390/batteries8090110 · Cited by 33

Towards High-Safety Lithium-Ion Battery Diagnosis Methods

Zhang, Y., Jiang, M., Zhou, Y., Zhao, S., & Yuan, Y. (2023) · Batteries · doi:10.3390/batteries9010063 · Cited by 33

Data-driven battery health prognosis with partial-discharge information

Zhao, C., Andersen, P. B., Træholt, C., & Hashemi, S. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107151 · Cited by 33

In Situ Construction Channels of Lithium-Ion Fast Transport and Uniform Deposition to Ensure Safe High-Performance Solid Batteries.

Zhao, Y., Li, L.-B., Shan, Y., Zhou, D., Chen, X., Cui, W., & Wang, H. (2023) · Small · doi:10.1002/smll.202301572 · Cited by 23

State-of-health estimation for lithium-ion battery using model-based feature optimization and deep extreme learning machine

Sun, S., Zhang, H., Ge, J., & Che, L. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108732 · Cited by 33

Ultrasonic diagnosis of the nonlinear aging characteristics of lithium-ion battery under high-rate discharge conditions

Sun, B., Zhang, C., Xu, Z., Liu, S.-Z., & Yang, Q.-X. (2023) · Journal of Power Sources · doi:10.1016/j.jpowsour.2023.232921 · Cited by 31

Solid polymer electrolytes based on a high dielectric polymer and ionic liquids for lithium batteries

Barbosa, J. C., Pinto, R. S., Correia, D. M., Tubio, C. R., Gonçalves, R., Costa, C. M., & Lanceros-Méndez, S. (2023) · Journal of Power Sources · doi:10.1016/j.jpowsour.2023.233630 · Cited by 32

Battery Electric Vehicles in Commercial Fleets: Use profiles, battery aging, and open-access data

Rücker, F., Figgener, J., Schoeneberger, I., & Sauer, D. U. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111030 · Cited by 32

Iterative updating of digital twin for equipment: Progress, challenges, and trends

Zhang, B., Ding, G., Zheng, Q. S., Zhang, K., & Qin, S. (2024) · Advanced Engineering Informatics · doi:10.1016/j.aei.2024.102773 · Cited by 32

Pathways to Circular Economy for Electric Vehicle Batteries

Jose, S. A., Dworkin, L., Montano, S., Noack, W. C., Rusche, N., Williams, D., & Menezes, P. L. (2024) · Recycling · doi:10.3390/recycling9050076 · Cited by 39

Challenges and Issues Facing Ultrafast-Charging Lithium-Ion Batteries

Mehrizi, A. A., Yeganehdoust, F., Reddy, A. K. M. R., & Zaghib, K. (2025) · Batteries · doi:10.3390/batteries11060209 · Cited by 35

A Minireview on High‐Performance Anodes for Lithium‐Ion Capacitors

Zheng, J., Xing, G., Zhang, L., Lu, Y., Jin, L., & Zheng, J. P. (2021) · Batteries & Supercaps · doi:10.1002/batt.202000292 · Cited by 32

V6O13 nanosheets self-assembled into 3D hollow microflowers for long-life and high-rate Li-ion batteries

Zhong, S., Zou, Z., Lv, S., Zhang, S., Geng, J., Meng, J., Liu, X., Liang, F., & Rao, J. (2022) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2022.163845 · Cited by 32

Influence of Breathing and Swelling on the Jelly-Roll Case Gap of Cylindrical Lithium-Ion Battery Cells

Spielbauer, M., Steinhardt, M., Singer, J., Aufschläger, A., Bohlen, O. S., & Jossen, A. (2022) · Batteries · doi:10.3390/batteries9010006 · Cited by 32

Role of the temperature and aging in mechanical modeling of the active coating in Li-ion battery

Ying, P., Wang, C., & Xia, Y. (2023) · eTransportation · doi:10.1016/j.etran.2023.100273 · Cited by 31

Thermal characteristic evolution of lithium–ion batteries during the whole lifecycle

Zhang, G., Wei, X., Chen, D., Wang, X., Chen, S., Zhu, J., & Dai, H. (2024) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2024.01.036 · Cited by 31

Flexible bidirectional pulse charging regulation achieving long-life lithium-ion batteries

Xu, X., Tang, S., Han, X., Lu, L., Qin, Y., Du, J., Wu, Y., Li, Y., Yu, C., Sun, X., et al. (2024) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2024.04.023 · Cited by 31

Comprehensive aging model coupling chemical and mechanical degradation mechanisms for NCM/C6-Si lithium-ion batteries

Zhu, K., Wang, T., Wu, Y., Luo, J., & Huang, Y. (2024) · Energy storage materials · doi:10.1016/j.ensm.2024.103620 · Cited by 32

Phase-field modelling for degradation/failure research in lithium battery: Progress and prospects

Wu, W., Lin, Y., Hu, Y., He, Z., & Yang, Y. (2024) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2024.11.030 · Cited by 31

Physics-Based and Data-Driven Modeling of Degradation Mechanisms for Lithium-Ion Batteries—A Review

Ruiz, P. L., Damianakis, N., & Mouli, G. R. C. (2025) · IEEE Access · doi:10.1109/access.2025.3535918 · Cited by 36

Quantitative analysis of eruption process of abused prismatic Ni-rich automotive batteries based on in-chamber pressure

Zhang, Y., Wang, H., Li, W., Li, C., & Ouyang, M. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101617 · Cited by 31

A practical approach to predict volume deformation of lithium‐ion batteries from crystal structure changes of electrode materials

Ren, D., Xie, L., Wang, L., & He, X. (2020) · International Journal of Energy Research · doi:10.1002/er.6355 · Cited by 31

Investigation of high temperature vulcanized and room temperature vulcanized silicone rubber based on flexible piezo‐electric energy harvesting applications with multi‐walled carbon nanotube reinforced composites

Manikkavel, A., Kumar, V., Kim, J. H., Lee, D. J., & Park, S. (2021) · Polymer Composites · doi:10.1002/pc.26449 · Cited by 31

Understanding thermal and mechanical effects on lithium plating in lithium-ion batteries

Qiu, Y., Zhang, X.-X., Usubelli, C., Mayer, D., Linder, C., & Christensen, J. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.231632 · Cited by 25

Machine learning based swift online capacity prediction of lithium-ion battery through whole cycle life

Xue, Q., Li, J., & Xu, P. (2022) · Energy · doi:10.1016/j.energy.2022.125210 · Cited by 32

A Flexible deep convolutional neural network coupled with progressive training framework for online capacity estimation of lithium-ion batteries

Xue, Q., Li, J., Xiao, Y., Chai, Z., Liu, Z., & Chen, J. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136575 · Cited by 32

Adaptive Equivalent Fuel Consumption Minimization Based Energy Management Strategy for Extended-Range Electric Vehicle

Yao, D., Lu, X., Chao, X., Zhang, Y., Shen, J., Zeng, F., Zhang, Z., & Wu, F. (2023) · Sustainability · doi:10.3390/su15054607 · Cited by 31

Battery health prognostic using efficient and robust aging trajectory matching with ensemble deep transfer learning

Zhao, G., Kang, Y., Huang, P., Duan, B., & Zhang, C. (2023) · Energy · doi:10.1016/j.energy.2023.128228 · Cited by 31

Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles

Liang, K., Zhang, Z., Liu, P., Wang, Z., & Jiang, S. (2019) · Energies · doi:10.3390/en12244772 · Cited by 32

Cost-effective sizing method of Vehicle-to-Building chargers and energy storage systems during the planning stage of smart micro-grid

Wei, Z., Yang, G., Tang, H., Zhao, Y., & Lin, B. (2024) · eTransportation · doi:10.1016/j.etran.2024.100343 · Cited by 30

Mechanism and Control Strategies of Lithium‐Ion Battery Safety: A Review

Lai, T., Zhao, H., Song, Y.-Z., Wang, L., Wang, Y.-D., & He, X.-M. (2024) · Small Methods · doi:10.1002/smtd.202400029 · Cited by 43

Expert deep learning techniques for remaining useful life prediction of diverse energy storage Systems: Recent Advances, execution Features, issues and future outlooks

Ansari, S., Zainuri, M. A. A. M., Ayob, A., Lipu, M. S. H., Rahman, M. S., Ibrahim, M., & Hannan, M. A. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125163 · Cited by 30

Unravel the influences of Ni substitution on Co-based electrodes for rechargeable alkaline Zn–Co batteries

Shang, W., Yu, W., Xiao, X. R., Ma, Y., Tan, P., & Ni, M. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.229192 · Cited by 30

A remaining charging electric quantity based pack available capacity optimization method considering aging inconsistency

Sun, J., Tang, C., Li, X., Wang, T., Jiang, T., Tang, Y., Chen, S., Qiu, S., & Zhu, C. (2021) · eTransportation · doi:10.1016/j.etran.2021.100149 · Cited by 30

Effects of Minor Mechanical Deformation on the Lifetime and Performance of Commercial 21700 lithium-Ion Battery

Li, L., Chen, X., Yuan, Q., Wang, T., Ji, H., Papović, S. M., Raleva, K., Pan, F., Yang, T., & Li, J. (2022) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ac79d4 · Cited by 30

Multi-scale Battery Modeling Method for Fault Diagnosis

Yang, S., Cheng, H., Wang, M., Lyu, M., Gao, X., Zhang, Z., Cao, R., Li, S., Lin, J., Hua, Y., et al. (2022) · Automotive Innovation · doi:10.1007/s42154-022-00197-x · Cited by 30

Two-sided sustainability: Simulating battery degradation in vehicle to grid applications within autonomous electric port transportation

Harnischmacher, C., Markefke, L., Brendel, B., & Kolbe, L. M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.135598 · Cited by 30

The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application

Shabani, M., Wallin, F., Dahlquist, E., & Yan, J. (2023) · Energy · doi:10.1016/j.energy.2023.126829 · Cited by 30

Battery state estimation methods and management system under vehicle–cloud collaboration: A Survey

Mei, P., Karimi, H. R., Xie, J., Chen, F., Ou, L., Yang, S., & Huang, C. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114857 · Cited by 29

State of health estimation method based on real data of electric vehicles using federated learning

Lv, X., Cheng, Y., Ma, S., & Jiang, H. (2024) · International Journal of Electrochemical Science · doi:10.1016/j.ijoes.2024.100591 · Cited by 29

Parameter-independent error correction for potential measurements by reference electrode in lithium-ion batteries

Li, Y., Gao, X., Feng, X., Han, X., Du, J., Lu, L., & Ouyang, M. (2021) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2021.09.006 · Cited by 29

A Critical Review on Battery Aging and State Estimation Technologies of Lithium-Ion Batteries: Prospects and Issues

Roy, P. K., Shahjalal, M., Shams, T., Fly, A., Stoyanov, S., Ahsan, M., & Haider, J. (2023) · Electronics · doi:10.3390/electronics12194105 · Cited by 29

Identifying the calendar aging boundary and high temperature capacity fading mechanism of Li ion battery with Ni-rich cathode

Wu, K. M., Wu, X., Lin, Z., Sun, H., Wang, M., & Li, W. (2023) · Journal of Power Sources · doi:10.1016/j.jpowsour.2023.233736 · Cited by 29

Deep neural network-enabled battery open-circuit voltage estimation based on partial charging data

Zhou, Z., Liu, Y., Zhang, C., Shen, W., & Xiong, R. (2023) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2023.11.009 · Cited by 29

A review of Li‐ion battery temperature control and a key future perspective on cutting‐edge cooling methods for electrical vehicle applications

Wankhede, S., More, K. C., & Kamble, L. (2024) · Energy Storage · doi:10.1002/est2.572 · Cited by 29

Revealing the electrochemical-mechanical correspondence between electrode films and 20 Ah prismatic Li-ion batteries via optical fiber monitoring

Ge, X., Zhang, Y., Du, R., Chen, N., Yu, Y., Li, Z., & Huang, Y. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.150895 · Cited by 29

Direct regeneration of spent LiFePO4 cathode material via a simple solid-phase method

Sun, H., Li, X., Wu, B., Zhu, K., Gao, Y., Bao, T., Wu, H., & Cao, D. (2024) · Chinese Chemical Letters · doi:10.1016/j.cclet.2024.110041 · Cited by 29

Dynamic internal resistance modeling and thermal characteristics of lithium-ion batteries for electric vehicles by considering state of health

Sun, Y., Liu, F., Qin, W., Li, J., Cheng, X., & Zeng, J. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234806 · Cited by 30

A comparative study of data-driven thermal fault prediction using machine learning algorithms in air-cooled cylindrical Li-ion battery modules

Daniels, R. K., Kumar, V. S., & Prabhakar, A. (2024) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2024.114925 · Cited by 29

Decoding battery aging in fast-charging electric vehicles: An advanced SOH estimation framework using real-world field data

Zhang, C., Wang, J., Zhang, L., Zhang, W., Zhu, T., Yang, X., & Cruden, A. J. (2025) · Energy storage materials · doi:10.1016/j.ensm.2025.104236 · Cited by 31

State-of-health estimation for EV battery packs via incremental capacity curves and S-transform

Tao, S., Zhu, J., Li, Y., Chen, S., Wang, X., Wang, X., Jiang, B., Wei, C., Wei, X., & Dai, H. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.126334 · Cited by 29

Multilevel Energy Management of a DC Microgrid Based on Virtual-Battery Model Considering Voltage Regulation and Economic Optimization

Wang, S., Du, M., Lu, L., Xing, W., Sun, K., & Ouyang, M. (2020) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2020.2975904 · Cited by 29

Li‐ion battery state of health estimation through Gaussian process regression with Thevenin model

Lyu, Z., & Gao, R. (2020) · International Journal of Energy Research · doi:10.1002/er.5647 · Cited by 30

Eco-conversion of coal into a nonporous graphite for high-performance anodes of lithium-ion batteries

Han, L., Zhu, X., Yang, F., Liu, Q., & Jia, X. (2020) · Powder Technology · doi:10.1016/j.powtec.2020.12.052 · Cited by 29

A joint grey relational analysis based state of health estimation for lithium ion batteries considering temperature effects

Qu, W., Shen, W., & Liu, J. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103102 · Cited by 29

State of health estimation of lithium-ion battery in wide temperature range via temperature-aging coupling mechanism analysis

Wang, L., Qiao, S., Lu, D., Zhang, Y., Pan, C., He, Z., Zhao, X., & Wang, R. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103618 · Cited by 30

Probabilistic Modeling of Li-Ion Battery Remaining Useful Life

Chiodo, E., Falco, P. D., & Noia, L. P. D. (2022) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2022.3170525 · Cited by 32

Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current

Zhukovskiy, Y. L., Buldysko, A., & Revin, I. (2023) · Energies · doi:10.3390/en16083303 · Cited by 29

A Model-Based Battery Charging Optimization Framework for Proper Trade-offs Between Time and Degradation

Appleton, S., & Fotouhi, A. (2023) · Automotive Innovation · doi:10.1007/s42154-023-00221-8 · Cited by 28

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