A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

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

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

Cycle-life model for graphite-LiFePO4 cells

Wang, J. J., Liu, P., Hicks-Garner, J., Sherman, E., Soukiazian, S., Verbrugge, M. W., Tataria, H., Musser, J., & Finamore, P. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.11.134 · Cited by 1,785

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

Ng, K. S., Moo, C.-S., Chen, Y.-P., & Hsieh, Y.-C. (2009) · Applied Energy · doi:10.1016/j.apenergy.2008.11.021 · Cited by 1,636

Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements

Lucas, J. M., & Saccucci, M. S. (1990) · Technometrics · doi:10.2307/1269835 · Cited by 1,384

Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements

Lucas, J. M., & Saccucci, M. S. (1990) · Technometrics · doi:10.1080/00401706.1990.10484583 · Cited by 1,328

Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

He, W., Williard, N., Osterman, M., & Pecht, M. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.08.040 · Cited by 1,105

Synthesize battery degradation modes via a diagnostic and prognostic model

Dubarry, M., Truchot, C., & Liaw, B. Y. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.07.016 · Cited by 1,065

A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

Han, X., Ouyang, M., Lu, L., Li, J., Zheng, Y., & Li, Z. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.11.029 · Cited by 822

Identify capacity fading mechanism in a commercial LiFePO4 cell

Dubarry, M., & Liaw, B. Y. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.05.036 · Cited by 675

Hydrothermal synthesis of α-SnWO4: Application to lithium-ion battery and photocatalytic activity

Alharthi, F. A., Shashank, M., Shashikanth, J., Viswantha, R., Alghamdi, A. A. B., Algethami, J. S., Alsaiari, M., Jalalah, M., & Nagaraju, G. (2020) · Ceramics International · doi:10.1016/j.ceramint.2020.10.122 · Cited by 33

Fast Remaining Capacity Estimation for Lithium‐ion Batteries Based on Short‐time Pulse Test and Gaussian Process Regression

Ran, A., Cheng, M., Chen, S., Liang, Z., Zhou, Z., Zhou, G., Kang, F., Zhang, X., Li, B., & Wei, G. (2022) · Energy & environment materials · doi:10.1002/eem2.12386 · Cited by 33

A Cross-Linked Triphenylamine-Based Polymer Cathode Material with Dual Anion-Cation Reversible Insertion for Lithium Ion Battery

Chen, S., Jia, T., Zhou, G., Zhang, C., Hou, Q., Wang, Y., Luo, S., Shi, G., & Zeng, Y. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.0941912jes · Cited by 32

A Data-Driven Approach to State of Health Estimation and Prediction for a Lithium-Ion Battery Pack of Electric Buses Based on Real-World Data

Xu, N., Xie, Y., Liu, Q., Yue, F., & Zhao, D. (2022) · Sensors · doi:10.3390/s22155762 · Cited by 32

Extracting degradation trends for roller bearings by using a moving-average stacked auto-encoder and a novel exponential function

Xu, F., Yang, F., Fan, X., Huang, Z., & Tsui, K. (2019) · Measurement · doi:10.1016/j.measurement.2019.107371 · Cited by 35

A novel hybrid data-driven method based on uncertainty quantification to predict the remaining useful life of lithium battery

Li, H., Fu, L., & Zhang, Y. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104984 · Cited by 31

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

A Comparison of Voltage Hold and Voltage Decay Methods for Side Reactions Characterization

Streck, L., Roth, T., Keil, P., Strehle, B., Ludmann, S., & Jossen, A. (2023) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/accb69 · Cited by 30

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

Experimental investigation on the characteristics of coulombic efficiency of lithium-ion batteries considering different influencing factors

Lai, X., Zhou, L., Zhu, Z., Zheng, Y., Sun, T., & Shen, K. (2023) · Energy · doi:10.1016/j.energy.2023.127408 · 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

Safety and reliability analysis of lithium-ion batteries with real-time health monitoring

Khan, A., Naqvi, I. H., Bhargava, C., Lin, C.-P., Boles, S. T., Kong, L., & PECHT, M. G. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.115408 · Cited by 31

State-of-Health Diagnosis of Lithium-Ion Batteries Using Nonlinear Frequency Response Analysis

Harting, N., Wolff, N., Röder, F., & Krewer, U. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.1031902jes · Cited by 29

Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

Madani, S. S., Schaltz, E., & Kær, S. K. (2019) · Batteries · doi:10.3390/batteries5030057 · Cited by 29

A combined robust approach based on auto‐regressive long short‐term memory network and moving horizon estimation for state‐of‐charge estimation of lithium‐ion batteries

Chen, Y., Li, C., Chen, S., Ren, H., & Gao, Z. (2021) · International Journal of Energy Research · doi:10.1002/er.6615 · Cited by 29

Evaluation of the state of charge of lithium-ion batteries using ultrasonic guided waves and artificial neural network

Liu, Y., Zhang, R., & Hao, W. (2022) · Ionics · doi:10.1007/s11581-022-04568-6 · Cited by 29

Smart Core and Surface Temperature Estimation Techniques for Health-Conscious Lithium-Ion Battery Management Systems: A Model-to-Model Comparison

Surya, S., Samanta, A., Marcis, V. A., & Williamson, S. S. (2022) · Energies · doi:10.3390/en15020623 · Cited by 29

Techno-economic assessment of energy storage systems in green buildings while considering demand uncertainty

Chadly, A., Urs, R. R., Wei, M., Maalouf, M., & Mayyas, A. T. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.113130 · Cited by 29

Should high‐cobalt EV batteries be repurposed? Using LCA to assess the impact of technological innovation on the waste hierarchy

Dunn, J., Ritter, K., Velázquez, J. M., & Kendall, A. M. (2023) · Journal of Industrial Ecology · doi:10.1111/jiec.13414 · Cited by 36

Impact of the Scan Rate on the Stability Window of an Electrical Double-Layer Capacitor

Cougnon, C. (2023) · Energies · doi:10.3390/en16155687 · Cited by 28

Potential regulation strategy enables ferrocene as p-type redox mediator for direct regeneration of spent LiFePO4 cathode

Xu, M., Wu, C., Zhang, F., Zhang, Y., Ren, J., Zhang, C., Wang, X., Xiao, L., Fontaine, O., & Qian, J. (2024) · Energy storage materials · doi:10.1016/j.ensm.2024.103611 · Cited by 28

Derating Guidelines for Lithium-Ion Batteries

Sun, Y., Saxena, S., & PECHT, M. G. (2018) · Energies · doi:10.3390/en11123295 · Cited by 28

Improving the Electrochemical Performance of Carbon Anodes Derived from Marine Biomass by Using Ionic-Liquid-Based Hybrid Electrolyte for LIBs

Salimi, P., Askari, K., Norouzi, O., & Kamali, S. (2018) · Journal of Electronic Materials · doi:10.1007/s11664-018-6826-0 · Cited by 27

Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics

Sampath, S., Yin, X., Tham, Z. W., Chen, Y. F., & Zhang, L. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234544 · Cited by 26

Large-Area Paper Batteries with Ag and Zn/Ag Screen-Printed Electrodes

Garcia, D. M. E., Pereira, A. S. T. M., de Almeida, A. C., Roma, U. S., Aissa, A. B., Lacharmoise, P. D., Ferreira, I., & Simao, C. D. (2019) · ACS Omega · doi:10.1021/acsomega.9b01545 · Cited by 26

Silicon/LiNi0·8Co0·15Al0·05O2 lithium-ion pouch cells charging and discharging at −40 °C temperature

Subburaj, T., Brevet, W., Farmakis, F. V., Tsiplakides, D., Balomenou, S. P., Strataki, N., Elmasides, C., Samaniego, B., & Nestoridi, M. (2020) · Electrochimica Acta · doi:10.1016/j.electacta.2020.136652 · Cited by 27

Photoactive nanomaterials enabled integrated photo‐rechargeable batteries

Rodríguez‐Seco, C., Wang, Y., Zaghib, K., & Ma, D. (2022) · Nanophotonics · doi:10.1515/nanoph-2021-0782 · Cited by 27

Double-Shell Co 3 O 4 with Rich Surface Octahedron Oxygen Vacancies for High-Selectivity Electrocatalytic Chlorine Evolution

Deng, Y., Zhang, H., Liang, Q., Gao, J., Wang, W., Wu, Z., Zhu, Y., Xiao, Z., & Wang, L. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c10031 · Cited by 25

Ultrasonic characterization of multi-layered porous lithium-ion battery structure for state of charge

Zhang, B., Lyu, Y., Gao, J., Song, G., Zheng, Y., Lee, Y.-C., & He, C. (2023) · Ultrasonics · doi:10.1016/j.ultras.2023.107060 · Cited by 25

Rethinking lithium-ion battery management: Eliminating routine cell balancing enhances hazardous fault detection

Hardy, J., Steggall, J., & Hardy, P. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.106931 · Cited by 24

Comparative Life Cycle Assessment of Mobile Power Banks with Lithium-Ion Battery and Lithium-Ion Polymer Battery

Yang, J., Гу, Ф., Guo, J., & Chen, B. (2019) · Sustainability · doi:10.3390/su11195148 · Cited by 26

A Robust and Efficient State-of-Charge Estimation Methodology for Serial-Connected Battery Packs: Most Significant Cell Methodology

Huang, C.-S., Cheng, Z., & Chow, M. (2021) · IEEE Access · doi:10.1109/access.2021.3081619 · Cited by 23

Battery Reliability Assessment in Electric Vehicles: A State-of-the-Art

Omakor, J., Miah, S., & Chaoui, H. (2024) · IEEE Access · doi:10.1109/access.2024.3406424 · Cited by 34

Research on Optimization of Charging Strategy Control for Aged Batteries

Sun, J., Ma, Q., Tang, C., Wang, T., Jiang, T., & Tang, Y. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3003311 · Cited by 24

Fast Modeling of the Capacity Degradation of Lithium-Ion Batteries via a Conditional Temporal Convolutional Encoder–Decoder

Wang, J., & Xiang, Y. (2021) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2021.3128018 · Cited by 23

Determining the effects of non-catastrophic nail puncture on the operational performance and service life of small soft case commercial Li-ion prismatic cells

Jones, C. M., Li, B., & Tomar, V. (2021) · eTransportation · doi:10.1016/j.etran.2021.100109 · Cited by 22

A Smart Cell Monitoring System Based on Power Line Communication—Optimization of Instrumentation and Acquisition for Smart Battery Management

Vincent, T. A., Gulsoy, B., Sansom, J. E. H., & Marco, J. (2021) · IEEE Access · doi:10.1109/access.2021.3131382 · Cited by 22

Ontology‐Based Battery Production Dataspace and Its Interweaving with Artificial Intelligence‐Empowered Data Analytics

Stier, S., Xu, X., Gold, L., & Moeckel, M. (2024) · Energy Technology · doi:10.1002/ente.202301305 · Cited by 24

Effect of Reducing Agent on Solution Synthesis of Li3V2(PO4)3 Cathode Material for Lithium Ion Batteries

Yaghtin, A., Masoudpanah, S. M., Hasheminiasari, M., Salehi, A., Safanama, D., Ong, C. K., Adams, S. N., & Reddy, M. V. (2020) · Molecules · doi:10.3390/molecules25163746 · Cited by 22

Energy Management System of Electric Bus Equipped with Regenerative Braking and Range Extender

Kusuma, C. F., Budiman, B. A., Nurprasetio, I. P., Islameka, M., Masyhur, A. H., Aziz, M., & Reksowardojo, I. K. (2021) · International Journal of Automotive Technology · doi:10.1007/s12239-021-0142-z · Cited by 21

Reduction of Capacity Fading in High-Voltage NMC Batteries with the Addition of Reduced Graphene Oxide

Alqahtani, Y. M., & Williams, Q. L. (2022) · Materials · doi:10.3390/ma15062146 · Cited by 21

Influence of atmospheric pressure on the aging mechanism of LiCoO2/graphite cells

Xie, S., Ping, X., Yang, X., Lv, P., Li, G., & He, Y. (2023) · Electrochimica Acta · doi:10.1016/j.electacta.2023.143541 · Cited by 21

Non-destructive detection techniques for lithium-ion batteries based on magnetic field characteristics-A model-based study

Zhao, H., Zhan, Z., Cui, B., Wang, Y., Yin, G., Han, G., Xiang, L., & Du, C. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234511 · Cited by 20

Water-in-Salt Electrolytes: Advances and Chemistry for Sustainable Aqueous Monovalent-Metal-Ion Batteries

Mishra, R., Reddy, A. K. M. R., Goulet, M., & Zaghib, K. (2025) · Batteries · doi:10.3390/batteries11040120 · Cited by 18

Development of energy-efficient polymers by using conductive nanohybrid fillers: recent progress and future prospects

Mametja, S., Mabuza, M., Sadiku, E. R., Mohlamonyane, R. S., & Sefadi, J. S. (2025) · Advanced Composites and Hybrid Materials · doi:10.1007/s42114-025-01330-0 · Cited by 20

Enhanced Electrochemical Properties of Gel Polymer Electrolyte with Hybrid Copolymer of Organic Palygorskite and Methyl Methacrylate

Tian, L., Xiong, L., Chen, X., Guo, H., Zhang, H., & Chen, X. (2018) · Materials · doi:10.3390/ma11101814 · Cited by 20

Feature–target pairing in machine learning for battery health diagnosis and prognosis: A critical review

Huang, Z., Sugiarto, L., & Lu, Y.-C. (2023) · EcoMat · doi:10.1002/eom2.12345 · Cited by 20

Nanocarbon-based sheets: Advances in processing methods and applications

Kostaras, C., Pavlou, C., Galiotis, C., & Dassios, K. G. (2024) · Carbon · doi:10.1016/j.carbon.2024.118909 · Cited by 20

Universal low-temperature and template-free synthesis of sponge-like porous micron-sized elemental materials for high-performance lithium/potassium storage

Zhu, J., Liu, X., Wang, W., Liu, Z., Yue, L., Zhou, W., Zhao, L., He, Z., Wang, J., & Li, Y. (2022) · Nano Energy · doi:10.1016/j.nanoen.2022.106981 · 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

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

Technico-economic assessment of a lead-acid battery bank for standalone photovoltaic power plant

Fathi, A. E., & Outzourhit, A. (2018) · Journal of Energy Storage · doi:10.1016/j.est.2018.07.019 · Cited by 19

Evaluating single-crystal and polycrystalline NMC811 electrodes in lithium-ion cells via non-destructive EIS alone

Saunders, L., Wang, J., & Stimming, U. (2022) · Journal of Applied Electrochemistry · doi:10.1007/s10800-022-01713-x · Cited by 18

Thermally stable and high electrochemical performance ultra-high molecular weight polyethylene/poly(4-methyl-1-pentene) blend film used as Li-ion battery separator

Habumugisha, J. C., Usha, Z. R., Yu, R., Babiker, D. M. D., Wan, C., Chen, X., & Li, L. (2021) · Applied Materials Today · doi:10.1016/j.apmt.2021.101136 · Cited by 18

Enhanced electrolyte performance by adopting Zwitterionic lithium-silica sulfobetaine silane as electrolyte additive for lithium-ion batteries

Phiri, I., Bon, C., Mwemezi, M., Hamenu, L., Madzvamuse, A., Park, J., Lee, K., Ko, J., & Lu, Y.-F. (2020) · Materials Chemistry and Physics · doi:10.1016/j.matchemphys.2019.122577 · Cited by 14

A reaction engineering approach to non-aqueous battery lifetime

Lee, S., Harris, O. C., Siboonruang, T., & Tang, M. H.-M. (2021) · Joule · doi:10.1016/j.joule.2020.12.022 · Cited by 17

In-situ formed Li2O and an artificial protective layer on copper current collectors to enhance the cycling stability of lithium metal anode batteries

Darwaish, K., Wu, Y., Wu, S., Chang, J., Jose, R., & Yang, C. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113508 · Cited by 17

Life-Cycle State-of-Charge Estimation for Lithium-Ion Battery Considering Coulomb Efficiency and Capacity Decay

Zhou, Z., Duan, B., Li, C., Kang, Y., Shang, Y., & Zhang, C. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2024.3506778 · Cited by 16

Overdischarge Detection and Prevention With Temperature Monitoring of Li-Ion Batteries and Linear Regression-Based Machine Learning

Li, B., Jones, C. M., & Tomar, V. (2021) · Journal of Electrochemical Energy Conversion and Storage · doi:10.1115/1.4051296 · Cited by 16

Uncertainty analysis of selected standard methods in battery measurement technology

Schweighofer, B., Schürholz, D., Neumayer, M., & Wegleiter, H. (2023) · Journal of Power Sources · doi:10.1016/j.jpowsour.2023.232749 · Cited by 16

Effect of Different Gel Electrolytes on Conjugated Polymer - Graphene Quantum Dots Based Electrode for Solid State Hybrid Supercapacitors

Molahalli, V., Vijeth, H., Ashokkumar, S. P., & Devendrappa, H. (2020) · Polymer-Plastics Technology and Materials · doi:10.1080/25740881.2020.1784221 · Cited by 16

Ageing characterization data of lithium-ion battery with highly deteriorated state and wide range of state-of-health

Xia, Z., & Abu Qahouq, J. A. (2022) · Data in Brief · doi:10.1016/j.dib.2021.107727 · Cited by 15

Transformer-based framework for configuration-agnostic Li-ion battery SoH estimation by exploring novel health indicators

Park, S., Kim, Y., Yoo, R., Choi, Y., & Kim, D. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.172197 · Cited by 16

High-performance supercapacitors based on nonfunctionalized MXenes

Ibrahim, W. L., Rouhi, S., Ay, F., & Perkgöz, N. K. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.235894 · Cited by 15

An estimation framework for battery pack state of health based on real vehicle charging and discharging features

He, Z., Ji, X., Ding, H., Li, Y., Xu, G., Dai, Y., & Lou, H. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.236235 · Cited by 16

Ameliorating the Energy Storage Performance of Lithium–Sulfur Batteries via Sulfur-Intercalated Titanium Carbide (Ti3C2Tx) MXene

Srinivasan, S., Jothibas, M., & Nesakumar, N. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c00253 · Cited by 15

Data driven discovery of an analytic formula for the life prediction of Lithium-ion batteries

Xiong, J., Lei, T.-X., Fu, D.-M., Wu, J., & Zhang, T. (2022) · Progress in Natural Science Materials International · doi:10.1016/j.pnsc.2022.12.002 · Cited by 14

Effects of cell-to-cell variations on series-connected liquid metal battery pack capacity

Zhang, E., Cheng, X., Wang, S., Shi, Q., Zhang, Y., Li, H., Wang, K., & Jiang, K. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.109148 · Cited by 14

Assessment of Health Indicators to Detect the Aging State of Commercial Second-Life Lithium-Ion Battery Cells through Basic Electrochemical Cycling

Michelini, E., Höschele, P., Abbas, S. M., Ellersdorfer, C., & Moser, J. (2023) · Batteries · doi:10.3390/batteries9110542 · Cited by 14

SWOT analysis on the transition from Lithium-Ion batteries to Sodium-Ion batteries

Pilali, E., Nia, F. F., Yamini, E., Esmaeilion, F., Alfraidi, W., Taklifi, A., Garcia, D. A., & Soltani, M. (2025) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2025.104371 · Cited by 14

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

Hou, J., He, H., Yang, Y., Gao, T., & Zhang, Y. (2019) · Energies · doi:10.3390/en12091717 · Cited by 14

Optimised electrochemical energy storage performance of MoS 2 anchored to carbon cloth for advanced asymmetric aqueous supercapacitors

Faisal, M. M., Rigby, O. M., Campbell, S., & Hunt, M. (2025) · Electrochimica Acta · doi:10.1016/j.electacta.2025.146294 · Cited by 13

Physics-informed dual-stage network for lithium-ion battery state-of-charge estimation under various aging and temperature conditions

Son, D., Park, S., Oh, J., Lee, T., & Kim, S. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.126770 · Cited by 13

Physics-Informed Markov Chain Model to Identify Degradation Pathways of Lithium-Ion Cells

Kim, J., Kwak, E., Jeong, J., & Oh, K. (2023) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3302433 · Cited by 13

Indolocarbazole‐Based Small Molecule Cathode‐Active Material Exhibiting Double Redox for High‐Voltage Li‐Organic Batteries

Park, H., Kye, H., Lee, J., Joo, Y., Min, D. J., Kim, B., Park, S. Y., & Kwon, J. E. (2024) · Energy & environment materials · doi:10.1002/eem2.12694 · Cited by 13

Engineering CoMn2O₄ nanofibers: Enhancing one-dimensional electrode materials for high-performance supercapacitors

Jirankalagi, S. N., Molane, A. C., Sutar, S. M., Mulik, R. N., Selvaraj, M., Sunajadevi, K. R. P., & Patil, V. B. (2025) · Synthetic Metals · doi:10.1016/j.synthmet.2025.117836 · Cited by 13

Lithiation and delithiation induced magnetic switching and electrochemical studies in α-LiFeO2 based Li ion battery

Su, K.-H., Chi, P., Paul, T., Chung, C. H., Chen, W. M., Su, Y., Wu, P. M., Su, C. Y., & Wu, M. (2021) · Materials Today Physics · doi:10.1016/j.mtphys.2021.100373 · Cited by 13

Development of vein graphite by optimizing the NaOH concentration in alkali roasting-acid leaching process for the anode application in rechargeable Li-ion batteries

Naranpanawa, H. M. H. D. K., Amaraweera, T. H. N. G., Balasooriya, N. W. B., Attanayake, A. N. B., & Wijayasinghe, H. W. M. A. C. (2022) · Ionics · doi:10.1007/s11581-022-04819-6 · Cited by 12

A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity

Wang, D., Wang, Y., & Xian, X. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3374288 · Cited by 12

State-of-Charge Estimation of Lithium-ion Battery Based on Capacity Degradation Model Considering the Dynamic Currents and Temperatures

Gao, Y., Huang, R., Qin, D., Wang, T., Ma, S., & Qin, S. (2021) · International Journal of Electrochemical Science · doi:10.20964/2021.04.09 · Cited by 12

Electrochemical Analysis of Factors Affecting the Kinetic Capabilities of an Ionic Liquid Electrolyte

Heist, A., & Lee, S.-H. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.1261908jes · Cited by 11

Effect of interface wetting on the performance of gel polymer electrolytes-based solid-state lithium metal batteries

Pan, X., Liu, L., Yang, P., Zhang, J., & An, M. (2020) · Solid State Ionics · doi:10.1016/j.ssi.2020.115466 · Cited by 11

Comparing the economic value of lithium-ion battery technologies in the nine wholesale electricity markets in North America

Salman, U. T., Belaish, S., Ji, Z., Huang, D., Zheng, N., & Xu, B. (2022) · iEnergy · doi:10.23919/ien.2022.0044 · Cited by 10

Scale-Up of Lithium Iron Phosphate Cathodes with High Active Materials Contents for Lithium Ion Cells

Apachitei, G., Heymer, R., Lain, M. J., Dogaru, D., Hidalgo, M. F. V., Marco, J., & Copley, M. (2023) · Batteries · doi:10.3390/batteries9100518 · Cited by 10

Impact of an interrupted mechanical deformation on the electrical behavior of commercial lithium-ion pouch cells with varied aging histories for battery qualification

Michelini, E., Ellersdorfer, C., Hanzu, I., Hofer, G., Höschele, P., & Moser, J. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234768 · Cited by 7

Inkjet-Printed Silver Lithiophilic Sites on Copper Current Collectors: Tuning the Interfacial Electrochemistry for Anode-Free Lithium Batteries

Mirbagheri, S., Gibertini, E., & Magagnin, L. (2024) · Batteries · doi:10.3390/batteries10100369 · Cited by 10

Predicting the state of charge of lithium ion battery in e-vehicles using Box-Jenkins combined artificial neural network model

Louis, G. A., & Siddharth, S. (2025) · Discover Applied Sciences · doi:10.1007/s42452-024-06445-5 · Cited by 10

Overcoming Mineral Scaling Challenges in Lithium Extraction from Geothermal Brines: The Roles of Silica, Fe(II), and Mn(II) in Electrochemical Intercalation

Yu, Y., Chen, H., Stafford, C. M., Kong, L., McKenzie, K. R., Wagner, M. J., & Liu, X. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c06546 · Cited by 10

Influence of the Calendar Aging on the Cycle Aging of LiNiMnCoO 2 lithium-Ion Batteries

Cai, W.-F., & Chen, K.-C. (2021) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ac405a · Cited by 10

Non-Invasive Detection of Lithium-Metal Battery Degradation

Iurilli, P., Luppi, L., & Brivio, C. (2022) · Energies · doi:10.3390/en15196904 · Cited by 10

Pulsed laser deposited V2O3 thin-films on graphene/aluminum foil for micro-battery applications

Tite, T., Ungureanu, C. G., Buga, M. R., Stavarache, I., Matei, E., Negrila, C. C., Trupină, L., Spinu-Zaulet, A., & Galca, A. C. (2023) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2023.117290 · Cited by 10

$\eta _{\text{max}}$-Charging Strategy for Lithium-Ion Batteries: Theory, Design, and Validation

Blasuttigh, N., Beiranvand, H., Pereira, T., Castellan, S., Pavan, A. M., & Liserre, M. (2024) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2024.3381644 · Cited by 10

Electrochemical Performance of Layer-Structured Ni0.8Co0.1Mn0.1O2 Cathode Active Materials Synthesized by Carbonate Co-Precipitation

Park, B. H., Kim, T., Park, H., Sohn, Y., Shin, J., & Kang, M. (2022) · Nanomaterials · doi:10.3390/nano12203610 · Cited by 10

Efficient recovery of phosphorus and iron from the lithium extraction slag by the leaching precipitation method

Tu, T., Yu, X., & Liu, Q. (2024) · Canadian Metallurgical Quarterly · doi:10.1080/00084433.2024.2357856 · Cited by 9

Simulation Method for Extended-Range Electric Vehicle Battery State of Charge and Energy Consumption Simulation based on Driving Cycle

Kusuma, C. F., Budiman, B. A., & Nurprasetio, I. P. (2019) · International Conference on Electric Vehicular Technology (ICEVT) · doi:10.1109/icevt48285.2019.8993963 · Cited by 9

Optimal design of accelerated destructive degradation tests with block effects

Cai, J., & Ye, Z. (2020) · IISE Transactions · doi:10.1080/24725854.2020.1849875 · Cited by 9

Lithium Metal Anode for High-Power and High-Capacity Rechargeable Batteries

Imanishi, N., Zhang, T., Mori, D., Taminato, S., Takeda, Y., & Yamamoto, O. (2021) · Journal of Energy and Power Technology · doi:10.21926/jept.2102019 · Cited by 10

Lifespan prediction of Li-ion batteries in electrical vehicles by applying coulombic efficiency: from anode material to battery cell to vehicle application

Liu, X., Li, Y., Jiang, X., & Xu, K. (2024) · Sustainable Energy & Fuels · doi:10.1039/d3se01455j · Cited by 8

Enhanced performance of 1D ZnMn2O4 nanofibers for symmetric supercapacitor device

Jirankalagi, S. N., Molane, A. C., Mulik, R. N., Selvaraj, M., Assiri, M. A., & Patil, V. B. (2025) · Inorganic Chemistry Communications · doi:10.1016/j.inoche.2025.114057 · Cited by 8

Enhancing the Electrochemical Performance of Nickel‐Rich Layered Cathode Material (NMC 622) for Lithium‐Ion Batteries by Ultrathin Conductive Ceria‐Surface Coating

Seotsanyana-Mokhosi, I., & Ozoemena, K. I. (2025) · European Journal of Inorganic Chemistry · doi:10.1002/ejic.202400689 · Cited by 8

Degradation Behavior Analysis of Iron-Based Commercial Lithium-Ion Cells Using High-Precision Charge/Discharge Capacity Measurements: Effect of the C-Rate on the Capacity Trend

Yamazaki, A., & Miyashiro, H. (2024) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ad24bf

A comparative analysis of efficiency degradation in lithium-ion batteries due to constant cycling

Mallick, A. (2026) · AIP conference proceedings · doi:10.1063/5.0328187

Comparison of Cyclic Aging and Coulombic Efficiency Measurements for Varied State of Charge Windows in Lithium-Ion Batteries

Hussein, H., Arora, D., Panchal, S., Gross, O., Emadi, A., & Kollmeyer, P. J. (2026) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2026-01-0380 · Cited by 2

Assessment of Round-Trip and Coulombic Efficiency in Lithium-Ion Batteries Using a Mathematical Modeling Approach under Variable Operating ConditionsPreprint

Kumar, D. A., Rao, K. D., Kumar, P. S., Rao, C. R., Bankupalli, P. T., & Guntreddi, V. (2026) · Research Square · doi:10.21203/rs.3.rs-10895797/v1

Effect of Current Rate and Prior Cycling on the Coulombic Efficiency of a Lithium-Ion Battery

Madani, S. S., Schaltz, E., & Kær, S. K. (2019) · Batteries · doi:10.3390/batteries5030057 · Cited by 29