A review on lithium-ion battery ageing mechanisms and estimations for automotive applications

Book Review: Pattern Recognition and Machine Learning

Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066

Book Review: Time Series Analysis: Forecasting and Control

Geurts, M. D., Box, G. E. P., & Jenkins, G. M. (1977) · Journal of Marketing Research · doi:10.2307/3150485 · Cited by 19,410

A Statistical Distribution Function of Wide Applicability

Weibull, W. (1951) · Journal of Applied Mechanics · doi:10.1115/1.4010337 · Cited by 11,646

Pattern Recognition and Machine Learning

(2007) · Kybernetes · doi:10.1108/03684920710743466 · Cited by 8,545

Time Series Analysis: Forecasting and Control.

Anderson, O. D., Box, G. E. P., & Jenkins, G. M. (1978) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2988198 · Cited by 5,398

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

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 · cited 1×

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

Thermal runaway caused fire and explosion of lithium ion battery

Wang, Q., Ping, P., Zhao, X., Chu, G., Sun, J., & Chen, C. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.02.038 · Cited by 3,218

Time Series Analysis, Forecasting and Control.

Kendall, M. G., Box, G. E. P., & Jenkins, G. M. (1971) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344246 · Cited by 2,784

Scheduling a storage-augmented discrete production facility under incentive-based demand response

Weitzel, T., & Glock, C. H. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1475764 · Cited by 27

Estimation of State-of-Charge and State-of-Health for Lithium-Ion Degraded Battery Considering Side Reactions

Gao, Y., Zhang, X., Yang, J., & Guo, B. (2018) · Journal of The Electrochemical Society · doi:10.1149/2.0981816jes · Cited by 28

Impedance-Based diagnosis of lithium ion batteries: Identification of physical parameters using multi-output relevance vector regression

Zhou, X., & Huang, J. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101629 · Cited by 28

Design optimization of tab attachment positions and cell aspect ratio to minimize temperature difference in 45-Ah LFP large-format lithium-ion pouch cells

Lee, J.-J., Kim, J.-S., Lee, D.-C., Chang, H., & Kim, C. (2020) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2020.116143 · Cited by 28

Electrical Characterization of Li-Ion Battery Modules for Second-Life Applications

Kehl, D., Jennert, T., Lienesch, F., & Kurrat, M. (2021) · Batteries · doi:10.3390/batteries7020032 · Cited by 28

The impact of V2X service under local climatic conditions within Canada on EV durability

Darcovich, K., Recoskie, S., Ribberink, H., & Michelet, C. (2021) · eTransportation · doi:10.1016/j.etran.2021.100124 · Cited by 28

Modification of aluminum current collectors with laser-scribed graphene for enhancing the performance of lithium ion batteries

Cho, E.-C., Chang-Jian, C.-W., Wu, Y., Chao, S.-H., Huang, J.-H., Lee, K.-C., Weng, H. C., & Hsu, S.-C. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.230060 · Cited by 28

Investigation of inhomogeneous degradation in large-format lithium-ion batteries

Li, X., Zeng, T., Qin, H., Huo, R., Liu, Y., Wei, D., & Ding, X. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103113 · Cited by 28

Considerations on the impact of battery ageing estimation in the optimal sizing of solar home battery systems

Lubello, P., Papi, F., Bianchini, A., & Carcasci, C. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.129753 · Cited by 28

A novel Bayesian multivariate linear regression model for online state-of-health estimation of Lithium-ion battery using multiple health indicators

Lyu, Z., Wang, G., & Tan, C. (2022) · Microelectronics Reliability · doi:10.1016/j.microrel.2022.114500 · Cited by 28

Electrification of a bus system with fast charging stations: Impact of battery degradation on design decisions

Azadeh, S. S., Vester, J. S., & Maknoon, Y. (2022) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2022.103807 · Cited by 28

The characterization of dynamic behavior of Li-ion battery packs for enhanced design and states identification

Nam, W., Kim, J.-Y., & Oh, K. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2018.02.022 · Cited by 28

Investigation of 3-D multilayer approach in predicting the thermal behavior of 20 Ah Li-ion cells

Alipour, M., Esen, E., & Kizilel, R. (2019) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2019.03.020 · Cited by 28

Battery state of health estimation across electrochemistry and working conditions based on domain adaptation

Liu, C., Deng, Z., Zhang, X.-H., Bao, H., & Cheng, D. (2024) · Energy · doi:10.1016/j.energy.2024.131294 · Cited by 27

Sodium-ion batteries at low temperature: Storage mechanism and modification strategies

Su, Q., Hu, C., Li, S.-C., Huang, W.-J., Dong, J.-Y., Song, R., Xu, L., & Fang, G. (2025) · Chinese Chemical Letters · doi:10.1016/j.cclet.2025.111267 · Cited by 24

An Equivalent Circuit Model With Variable Effective Capacity for $\hbox{LiFePO}_{4}$ Batteries

Blanco, C., Sánchez, L., Gonzalez, M., Antón, J. C. Á., Garcia, V., & Viera, J. C. (2014) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2014.2309394 · Cited by 28

Cycle life testing of lithium batteries: The effect of load-leveling

Zhao, J., Gao, Y., Guo, J., Chu, L., & Burke, A. F. (2018) · International Journal of Electrochemical Science · doi:10.20964/2018.02.37 · Cited by 27

Simplified modeling and parameter estimation to predict calendar life of Li-ion batteries

Liu, Y., Xie, K., Pan, Y., Wang, H., Li, Y., & Zheng, C. (2018) · Solid State Ionics · doi:10.1016/j.ssi.2018.02.038 · Cited by 27

Interfacial aspects induced by saturated aqueous electrolytes in electrochemical capacitor applications

Galek, P., Frąckowiak, E., & Fic, K. (2019) · Electrochimica Acta · doi:10.1016/j.electacta.2019.135572 · Cited by 27

A new strategy for enhancing the room temperature conductivity of solid-state electrolyte by using a polymeric ionic liquid

Sha, Y., Dong, T., Zhao, Q. Y., Zheng, H., Wen, X., Chen, S., & Zhang, S. (2020) · Ionics · doi:10.1007/s11581-020-03638-x · Cited by 27

Synchronous electric charge and induced current extraction (SECICE): a unified nonlinear technique combining piezoelectric and electromagnetic harvesting

Lombardi, G., & Lallart, M. (2020) · Smart Materials and Structures · doi:10.1088/1361-665x/abd346 · Cited by 27

Intelligent Predictive Maintenance (IPdM) in Forestry: A Review of Challenges and Opportunities

Maktoubian, J., Taskhiri, M. S., & Turner, P. A. (2021) · Forests · doi:10.3390/f12111495 · Cited by 27

Open data model parameterization of a second-life Li-ion battery

Seger, P. V. H., Coron, E., Thivel, P., Riu, D. M., Cugnet, M. G., & Géniès, S. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103546 · Cited by 27

Effect of using a heatsink with nanofluid flow and phase change material on thermal management of plate lithium-ion battery

Rostami, S., Nadooshan, A. A., Raisi, A., & Bayareh, M. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104686 · Cited by 27

Pontryagin’s Minimum Principle-Based Power Management of Plug-In Hybrid Electric Vehicles to Enhance the Battery Durability and Thermal Safety

Chen, Z., Xiong, R., Liu, B., Wang, Z., & Yu, Q. (2022) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2022.3201029 · Cited by 27

3D Electro-Thermal Model Approach for the Prediction of Internal State Values in Large-Format Lithium Ion Cells and Its Validation

Veth, C., Dragicevic, D., Pfister, R., Arakkan, S., & Merten, C. (2014) · Journal of The Electrochemical Society · doi:10.1149/2.1201412jes · Cited by 27

Microgrid cooperative distributed energy scheduling (CoDES) considering battery degradation cost

Zhang, Y., & Chow, M. (2016) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie.2016.7744978 · Cited by 27

Novel Method for Evaluation and Prediction of Capacity Loss Metrics in Li-Ion Electrochemical Cells

Gering, K. L. (2017) · Electrochimica Acta · doi:10.1016/j.electacta.2017.01.052 · Cited by 28

PHM‐oriented Degradation Indicators for Batteries and Fuel Cells

Zhang, D., Cadet, C., Steiner, N. Y., Druart, F., & Bérenguer, C. (2017) · Fuel Cells · doi:10.1002/fuce.201600075 · Cited by 27

Profitability of commercial and industrial photovoltaics and battery projects in South-East-Asia

Beuse, M., Dirksmeier, M., Steffen, B., & Schmidt, T. S. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115218 · Cited by 29

Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System

García, E., Quiles, E., & Correcher, A. (2023) · Sensors · doi:10.3390/s23073417 · Cited by 26

Novel battery power capability assessment for improved eVTOL aircraft landing

Hatherall, O., Barai, A., Niri, M. F., Wang, Z., & Marco, J. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.122848 · Cited by 26

Battery Passport for Second-Life Batteries: Potential Applications and Challenges

Terkeş, M., Demirci, A., Gökalp, E., & Cali, Ü. (2024) · IEEE Access · doi:10.1109/access.2024.3450790 · Cited by 31

Investigate the changes of aged lithium iron phosphate batteries from a mechanical perspective

Wang, H., Wu, Y., Cao, Y., Liu, M., Liu, X., Liu, Y., & Liu, B. (2024) · iScience · doi:10.1016/j.isci.2024.111300 · Cited by 26

Extraction of health indicators from electrochemical impedance spectroscopy for state of health estimation of lithium-ion batteries

Wen, H., Zhang, M., Wang, S., Zhao, W., Zhao, Z., Wang, Y., Yan, Y., Zhang, D., & Sun, X. (2025) · eTransportation · doi:10.1016/j.etran.2025.100456 · Cited by 27

Similarity recognition of online data curves based on dynamic spatial time warping for the estimation of lithium-ion battery capacity

Tao, L., Lü, C., & Noktehdan, A. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.05.120 · Cited by 26

The Influence of BMSs on the Characterization and Modeling of Series and Parallel Li-Ion Packs

Castaño-Solis, S., Serrano-Jiménez, D., Gauchía, L., & Sanz, J. (2017) · Energies · doi:10.3390/en10030273 · Cited by 26

Degradation Studies on Lithium Iron Phosphate - Graphite Cells. The Effect of Dissimilar Charging – Discharging Temperatures

Ruiz, V., Kriston, Á., Adanouj, I., Destro, M., Fontana, D., & Pfrang, A. (2017) · Electrochimica Acta · doi:10.1016/j.electacta.2017.03.126 · Cited by 26

A comparative degradation study of commercial lithium-ion cells under low-temperature cycling

Zhang, Y., Ge, H., Huang, J., Li, Z., & Zhang, J. (2017) · RSC Advances · doi:10.1039/c7ra02581e · Cited by 26

Optimal Planning of Charging for Plug-In Electric Vehicles Focusing on Users’ Benefits

Su, S., Li, H., & Gao, W. (2017) · Energies · doi:10.3390/en10070952 · Cited by 26

Use of Effective Capacitance Variation as a Measure of State-of-Health in a Series-Connected Automotive Battery Pack

Leijen, P., Steyn‐Ross, D. A., & Kularatna, N. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2733002 · Cited by 26

The Effects of Lithium Sulfur Battery Ageing on Second-Life Possibilities and Environmental Life Cycle Assessment Studies

Wolff, D., Casals, L. C., Benveniste, G., Corchero, C., & Trilla, L. (2019) · Energies · doi:10.3390/en12122440 · Cited by 27

Mathematical Model for the Electric Vehicle Routing Problem Considering the State of Charge of the Batteries

Cataldo-Díaz, C., Linfati, R., & Escobar, J. W. (2022) · Sustainability · doi:10.3390/su14031645 · Cited by 26

Residual life estimation of lithium-ion batteries based on nonlinear Wiener process with measurement error

Han, Y., Ma, C., Tang, S., Wang, F., Sun, X., & Si, X. (2022) · Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability · doi:10.1177/1748006x221080345 · Cited by 26

Data-Driven modeling for Li-ion battery using dynamic mode decomposition

Abu-Seif, M. A., Abdel-Khalik, A. S., Hamad, M. S., Hamdan, E., & Elmalhy, N. A. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2022.04.037 · Cited by 26

Recent Health Diagnosis Methods for Lithium-Ion Batteries

Li, Y., Guo, J., Pedersen, K., Gurevich, L., & Stroe, D. (2022) · Batteries · doi:10.3390/batteries8070072 · Cited by 25

Solvent‐Free Manufacturing of Lithium‐Ion Battery Electrodes via Cold Plasma

Liang, Z., Li, T., Chi, H., Ziegelbauer, J. M., Sun, K., Wang, M., Zhang, W., Liu, T., Cheng, Y., Chen, Z., et al. (2022) · Energy & environment materials · doi:10.1002/eem2.12503 · Cited by 26

A fusion framework for lithium-ion batteries state of health estimation using compressed sensing and entropy weight method

He, N., Qian, C., Shen, C., & Huangfu, Y. (2022) · ISA Transactions · doi:10.1016/j.isatra.2022.10.003 · Cited by 26

Floating aging mechanism of lithium-ion capacitors: Impedance model and post-mortem analysis

Song, S., Zhang, X., An, Y., Hu, T., Sun, C., Wang, L., Li, C., Zhang, X., Wang, K., Xu, Z. J., et al. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.232597 · Cited by 26

The economic and environmental impacts of shared collection service systems for retired electric vehicle batteries

Tang, Y., Tao, Y. F., Wen, Z., Bunn, D. W., & Li, Y. (2023) · Waste Management · doi:10.1016/j.wasman.2023.05.008 · Cited by 26

A novel method of quantitative internal short circuit diagnosis based on charging electric quantity in fixed voltage window

Fan, W., Qiao, D., Lai, X., Zheng, Y., Wei, X., & Dai, H. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108096 · Cited by 26

Model-based State-of-charge Estimation Approach of the Lithium-ion Battery Using an Improved Adaptive Particle Filter

Ye, M., Guo, H., Xiong, R., & Yang, R. (2016) · Energy Procedia · doi:10.1016/j.egypro.2016.11.305 · Cited by 26

Electrical operation behavior and energy efficiency of battery systems in a virtual storage power plant for primary control reserve

Betzin, C., Wolfschmidt, H., & Luther, M. (2017) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2017.10.038 · Cited by 26

Structure Design and Performance of LiNixCoyMn1‐x‐yO2 Cathode Materials for Lithium‐ion Batteries: A Review

Zhao, X., Wang, J., Dong, X., Liu, G., Yu, W., & Wang, L. (2014) · Journal of the Chinese Chemical Society · doi:10.1002/jccs.201400107 · Cited by 26

A Health Monitoring Method Based on Multiple Indicators to Eliminate Influences of Estimation Dispersion for Lithium-Ion Batteries

Tang, J. W., Liu, Q., Liu, S., Xie, X., Jicheng, Z., & Li, Z. (2019) · IEEE Access · doi:10.1109/access.2019.2936213 · Cited by 26

Quantifying the Impact of Battery Degradation in Electric Vehicle Driving through Key Performance Indicators

Etxandi-Santolaya, M., Mora-Pous, A., Casals, L. C., Corchero, C., & Eichman, J. (2024) · Batteries · doi:10.3390/batteries10030103 · Cited by 25

Rapid estimation of lithium-ion battery capacity and resistances from short duration current pulses

Nowacki, B., Ramamurthy, J. R., Thelen, A., Tischer, C., Pint, C. L., & Hu, C. K. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.235813 · Cited by 24

BMSFormer: An efficient deep learning model for online state-of-health estimation of lithium-ion batteries under high-frequency early SOC data with strong correlated single health indicator

Li, X., Zhao, M., Zhong, S., Li, J., Fu, S., & Yan, Z. (2024) · Energy · doi:10.1016/j.energy.2024.134030 · Cited by 25

Review: on rare-earth perovskite-type negative electrodes in nickel–hydride (Ni/H) secondary batteries

Henao, J., & Martinez-Gomez, L. (2017) · Materials for Renewable and Sustainable Energy · doi:10.1007/s40243-017-0091-7 · Cited by 25

Accelerated Aging Analysis on Cycle Life of LiFePO 4 /Graphite Batteries Based on Different Rates

Sun, S., Guan, T., Zuo, P., Gao, Y., Cheng, X., Du, C., & Yin, G. (2018) · ChemElectroChem · doi:10.1002/celc.201800326 · Cited by 25

State of health forecasting of Lithium-ion batteries applicable in real-world operational conditions

von Bülow, F., Mentz, J., & Meisen, T. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103439 · Cited by 25

Extending Life of Lithium-Ion Battery Systems by Embracing Heterogeneities via an Optimal Control-Based Active Balancing Strategy

Azimi, V., Allam, A., & Onori, S. (2022) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2022.3215610 · Cited by 25

Comprehensive analysis of lithium-ion cells and their aging trajectory toward nonlinear aging

Stadler, J., Groch, T. K., García, M. Á., Storch, M., Fath, J. P., Ecker, M., & Latz, A. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107247 · Cited by 25

Degradation diagnosis of aged Li4Ti5O12/LiFePO4 batteries

Castaing, R., Reynier, Y., Dupré, N., Schleich, D., Jouanneau Si Larbi, S., Guyomard, D., & Moreau, P. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.06.002 · Cited by 24

Abnormal lithium plating in the electrode edges at low N/P ratios in lithium-ion batteries

Kim, S., Lee, D., Han, Y., Kim, H. W., & Yoo, D. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234301 · Cited by 25

Understanding calendar aging degradation in cylindrical lithium-ion cell: A novel pseudo-4-dimensional electrochemical-thermal model

Prima, P. D., Dessantis, D., Versaci, D., Amici, J., Bodoardo, S., & Santarelli, M. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.124640 · Cited by 27

Preparation of porous-structured LiFePO4/C composite by vacuum sintering for lithium-ion battery

Yao, Y., Qu, P., Gan, X., Huang, X., Zhao, Q.-F., & Liang, F. (2016) · Ceramics International · doi:10.1016/j.ceramint.2016.08.158 · Cited by 24

Moderate Energy for Charging Li‐Ion Batteries Determined by First‐Principles Calculations

Chen, P., Yang, F., Sangeetha, T., Gao, H., & Huang, K. D. (2018) · Batteries & Supercaps · doi:10.1002/batt.201800052 · Cited by 24

Heterogeneity of Graphite Lithiation in State‐of‐the‐Art Cylinder‐Type Li‐Ion Cells

Petz, D., Mühlbauer, M. J., Schökel, A., Achterhold, K., Pfeiffer, F., Pirling, T., Hofmann, M., & Senyshyn, A. (2020) · Batteries & Supercaps · doi:10.1002/batt.202000178 · Cited by 24

Parameter identification of fractional‐order model with transfer learning for aging lithium‐ion batteries

Guo, D., Yang, G., Han, X., Feng, X., Lu, L., & Ouyang, M. (2021) · International Journal of Energy Research · doi:10.1002/er.6614 · Cited by 24

Prediction and evaluation of health state for power battery based on Ridge linear regression model

Huang, B., Liao, H., Wang, Y., Liu, X., & Yan, X. (2021) · Science Progress · doi:10.1177/00368504211059047 · Cited by 24

Interplay of Electrode Heterogeneity and Lithium Plating

Hamedi, A., Pouraghajan, F., Sun, F., Nikpour, M., & Wheeler, D. R. (2022) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ac5304 · Cited by 24

Improved model and simulation tool for dynamic SOH estimation and life prediction of batteries used in PV systems

Merrouche, W., Trari, M., Djellal, L., Mammeri, M., Tebibel, H., Blaifi, S.-A., Chong, L. W., Amrouche, S. O., & Boussaha, B. (2022) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2022.102590 · Cited by 23

Effect of Thermal Abuse Conditions on Thermal Runaway of NCA 18650 Cylindrical Lithium-Ion Battery

Jeon, M., Lee, E., Park, H., Yoon, H., & Keel, S.-I. (2022) · Batteries · doi:10.3390/batteries8100196 · Cited by 24

Lithium-Ion Battery State-of-Charge Estimation from the Voltage Discharge Profile Using Gradient Vector and Support Vector Machine

Sutanto, E., Astawa, P. E., Fahmi, F., Hamid, M. I., Yazid, M., Shalannanda, W., & Aziz, M. (2023) · Energies · doi:10.3390/en16031083 · Cited by 24

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

Capacity fade estimation in electric vehicles Li-ion batteries using artificial neural networks

Hussein, A. A.-H. (2013) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce.2013.6646767 · Cited by 24

Energy Management of Parallel-Connected Cells in Electric Vehicles Based on Fuzzy Logic Control

Song, C., Shao, Y., Song, S., Chang, C., Zhou, F., Peng, S., & Xiao, F. (2017) · Energies · doi:10.3390/en10030404 · Cited by 24

Capacity Decay Mechanism of the LCO + NMC532/Graphite Cells Combined with Post-Mortem Technique

Zhang, L., Jiang, J., & Zhang, W. (2017) · Energies · doi:10.3390/en10081147 · Cited by 24

Stochastic model for the 3D microstructure of pristine and cyclically aged cathodes in Li-ion batteries

Kuchler, K., Westhoff, D., Feinauer, J., Mitsch, T., Manke, I., & Schmidt, V. (2018) · Modelling and Simulation in Materials Science and Engineering · doi:10.1088/1361-651x/aaa6da · Cited by 24

Lithium-Ion Cell Fault Detection by Single-Point Impedance Diagnostic and Degradation Mechanism Validation for Series-Wired Batteries Cycled at 0 °C

Love, C., Dubarry, M., Reshetenko, T., Devie, A., Spinner, N. S., Swider-Lyons, K., & Rocheleau, R. (2018) · Energies · doi:10.3390/en11040834 · Cited by 23

Comprehensive Understanding of Reduction Mechanisms of Ethylene Sulfite in EC-Based Lithium-Ion Batteries

Ren, F., Zuo, W., Yang, X., Lin, M., Xu, L., Zhao, W., Zheng, S., & Yang, Y. (2019) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.8b12000 · Cited by 23

An Improved Unscented Particle Filter Method for Remaining Useful Life Prognostic of Lithium-ion Batteries With Li(NiMnCo)O2 Cathode With Capacity Diving

Cong, X., Zhang, C., Jiang, J., Zhang, W., Jiang, Y., & Jia, X. (2020) · IEEE Access · doi:10.1109/access.2020.2978245 · Cited by 24

Improvement of electrochemical homogeneity for lithium-ion batteries enabled by a conjoined-electrode structure

Xiong, R., Zhang, T., Huang, T., Li, M., Zhang, Y., & Zhou, H. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115109 · Cited by 24

Advances in Coating Materials for Silicon-Based Lithium-Ion Battery Anodes

Nam, H., Song, W., & Chae, O. B. (2024) · Energies · doi:10.3390/en17194970 · Cited by 23

A review of lithium-ion battery state of health and remaining useful life estimation methods based on bibliometric analysis

Lei, X., Fangqing, X., Wang, J., & Zhang, C. (2024) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2024.09.004 · Cited by 24

Dynamic impact of LiCoO2 electrodes for Li-ion battery aging evaluation

Adams, R. A., Li, B., Kazmi, J., Adams, T. E., Tomar, V., & Pol, V. G. (2018) · Electrochimica Acta · doi:10.1016/j.electacta.2018.08.101 · Cited by 23

Charging Strategies to Minimize Greenhouse Gas Emissions of Electrified Delivery Vehicles

Woody, M., Vaishnav, P., Craig, M., Lewis, G. M., & Keoleian, G. A. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c03483 · Cited by 23

A Review on the Prediction of Health State and Serving Life of Lithium‐Ion Batteries

Pang, X., Zhong, S., Wang, Y., Yang, W. B., Zheng, W., & Sun, G. (2022) · The Chemical Record · doi:10.1002/tcr.202200131 · Cited by 26

Characterizing Large-Scale, Electric-Vehicle Lithium Ion Transportation Batteries for Secondary Uses in Grid Applications

Valant, C. J., Gaustad, G. G., & Nenadic, N. G. (2019) · Batteries · doi:10.3390/batteries5010008 · Cited by 23

Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder

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