A novel SOC-OCV separation and extraction technology suitable for online joint estimation of SOC and SOH in lithium-ion batteries

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.001 · Cited by 2,005 · see citing works

Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

Xiong, R., Cao, J., Yu, Q., He, H., & Sun, F. (2017) · IEEE Access · doi:10.1109/access.2017.2780258 · Cited by 1,022 · see citing works

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

Xing, Y., He, W., Pecht, M., & Tsui, K. L. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.07.008 · Cited by 977 · see citing works

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

Chemali, E., Kollmeyer, P. J., Preindl, M., Ahmed, R., & Emadi, A. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2787586 · Cited by 906 · see citing works

Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus

Hu, X., Yuan, H. S., Zou, C., Li, Z., & Zhang, L. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2865664 · Cited by 536 · see citing works

Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

Yang, S., Zhang, C., Jiang, J., Zhang, W., Zhang, L., & Wang, Y. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128015 · Cited by 435 · see citing works

Variational Mode Decomposition and Decision Tree Based Detection and Classification of Power Quality Disturbances in Grid-Connected Distributed Generation System

Achlerkar, P. D., Samantaray, S. R., & Manikandan, M. S. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2626469 · Cited by 281 · see citing works

Electrochemical model-based state estimation for lithium-ion batteries with adaptive unscented Kalman filter

Li, W., Yue, F., Ringbeck, F., Jöst, D., Han, X., Ouyang, M., & Sauer, D. U. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.228534 · Cited by 266 · see citing works

Battery state of charge estimation using a load-classifying neural network

Tong, S., Lacap, J., & Park, J. W. (2016) · Journal of Energy Storage · doi:10.1016/j.est.2016.07.002 · Cited by 234 · see citing works

Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications

Shrivastava, P., Naidu, P. A., Sharma, S., Panigrahi, B. K., & Garg, A. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107159 · Cited by 205 · see citing works

Open-Circuit Voltage-Based State of Charge Estimation of Lithium-ion Battery Using Dual Neural Network Fusion Battery Model

Dang, X., Li, Y., Xu, K., Wu, X., Jiang, H., & Sun, H. (2015) · Electrochimica Acta · doi:10.1016/j.electacta.2015.12.001 · Cited by 194 · see citing works

A Method of State-of-Charge Estimation for EV Power Lithium-Ion Battery Using a Novel Adaptive Extended Kalman Filter

He, Z., Yang, Z.-M., Cui, X., & Li, E. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3032201 · Cited by 192 · see citing works

A state of charge estimation method for lithium-ion batteries based on fractional order adaptive extended kalman filter

Zhu, Q., Xu, M., Liu, W., & Zheng, M. (2019) · Energy · doi:10.1016/j.energy.2019.115880 · Cited by 190 · see citing works

Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system

Liu, C., Wang, Y., & Chen, Z. (2018) · Energy · doi:10.1016/j.energy.2018.10.131 · Cited by 189 · see citing works

A unified modeling framework for lithium-ion batteries: An artificial neural network based thermal coupled equivalent circuit model approach

Wang, Q., He, Y., Shen, J.-N., Ma, Z., & Zhong, G. (2017) · Energy · doi:10.1016/j.energy.2017.07.035 · Cited by 133 · see citing works

A novel estimation of state of charge for the lithium-ion battery in electric vehicle without open circuit voltage experiment

Xiao, R., Yanwen, H., Jia, X., & Chen, G. (2022) · Energy · doi:10.1016/j.energy.2021.123072 · Cited by 101 · see citing works

A novel hybrid deep learning model for accurate state of charge estimation of Li-Ion batteries for electric vehicles under high and low temperature

Zafar, M. H., Khan, N. M., Houran, M. A., Mansoor, M., Akhtar, N., & Sanfilippo, F. (2024) · Energy · doi:10.1016/j.energy.2024.130584 · Cited by 100 · see citing works

Co-estimation for capacity and state of charge for lithium-ion batteries using improved adaptive extended Kalman filter

Peng, N., Zhang, S., & Xiongwen, Z. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102559 · Cited by 85 · see citing works

Edge–cloud collaborative estimation lithium-ion battery SOH based on MEWOA-VMD and Transformer

Chen, Y., Huang, X., He, Y., et al. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113388 · Cited by 84 · see citing works

An Online State of Charge Estimation Algorithm for Lithium-Ion Batteries Using an Improved Adaptive Cubature Kalman Filter

Zeng, Z., Tian, J., Li, D., & Tian, Y. (2018) · Energies · doi:10.3390/en11010059 · Cited by 82 · see citing works

A model-based state-of-charge estimation method for series-connected lithium-ion battery pack considering fast-varying cell temperature

Huang, D., Chen, Z., Zheng, C., & Li, H. (2019) · Energy · doi:10.1016/j.energy.2019.07.063 · Cited by 80 · see citing works

A Robust State of Charge Estimation Approach Based on Nonlinear Battery Cell Model for Lithium-Ion Batteries in Electric Vehicles

Kim, W., Lee, P., Kim, J., & Kim, K.-S. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3079934 · Cited by 73 · see citing works

A coupled electro-chemo-mechanical model for all-solid-state thin film Li-ion batteries: The effects of bending on battery performances

Song, X., Lü, Y., Wang, F., Zhao, X. X., & Chen, H. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.227803 · Cited by 63 · see citing works

Innovative lumped-battery model for state of charge estimation of lithium-ion batteries under various ambient temperatures

Seo, M., Song, Y., Kim, J., Paek, S. W., Kim, G., & Kim, S. W. (2021) · Energy · doi:10.1016/j.energy.2021.120301 · Cited by 62 · see citing works

Remaining useful life prediction method of lithium-ion batteries is based on variational modal decomposition and deep learning integrated approach

Wang, S., Ma, H., Zhang, Y., Li, S., & He, W. (2023) · Energy · doi:10.1016/j.energy.2023.128984 · Cited by 62 · see citing works

A novel approach to estimate the state of charge for lithium-ion battery under different temperatures incorporating open circuit voltage online identification

Renxin, X., Yanwen, H., Wei, Z., & Zhaohui, C. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107509 · Cited by 61 · see citing works

Simultaneous Integrated stochastic electrical and thermal energy expansion planning

Abbasi, A. R., & Seifi, A. R. (2014) · IET Generation Transmission & Distribution · doi:10.1049/iet-gtd.2013.0710 · Cited by 56 · see citing works

Energy expansion planning by considering electrical and thermal expansion simultaneously

Abbasi, A. R., & Seifi, A. R. (2014) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.03.041 · Cited by 53 · see citing works

A coupled electrochemical-mechanical performance evaluation for safety design of lithium-ion batteries in electric vehicles: An integrated cell and system level approach

Niu, X., Garg, A., Goyal, A., Simeone, A., Bao, N., Zhang, J., & Peng, X. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.065 · Cited by 42 · see citing works

Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection

Bounoua, W., Benkara, A. B., Kouadri, A., et al. (2019) · Transactions of the Institute of Measurement and Control · doi:10.1177/0142331219888370 · Cited by 42 · see citing works

Enhanced state of charge estimation for Li-ion batteries through adaptive maximum correntropy Kalman filter with open circuit voltage correction

Liu, Z., Zhao, Z., Qiu, Y. Y., et al. (2023) · Energy · doi:10.1016/j.energy.2023.128738 · Cited by 41 · see citing works

Expanding the lifetime of Li-ion batteries through optimization of charging profiles

Maia, L. K. K., Drünert, L., Mantia, F. L., et al. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.04.031 · Cited by 40 · see citing works

Modified extended Kalman filtering algorithm for precise voltage and state-of-charge estimations of rechargeable batteries

Yang, F., Shi, D., & Lam, K. H. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105831 · Cited by 40 · see citing works

Hierarchical power control strategy on small-scale electric vehicle fast charging station

Niu, L., Zhang, P., & Wang, X. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.06.174 · Cited by 34 · see citing works

Vanadium redox flow batteries real-time State of Charge and State of Health estimation under electrolyte imbalance condition

Puleston, T., Cecilia, A., Costa‐Castelló, R., et al. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107666 · Cited by 31 · see citing works

A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection

Al-Alawi, M. K., Jaddoa, A., Cugley, J., & Hassanin, H. S. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112866 · Cited by 30 · see citing works

Co-estimation of the model parameter and state of charge for retired lithium-ion batteries over a wide temperature range and battery degradation scope

Wei, X., Xie, F., Xu, G., et al. (2023) · Renewable Energy · doi:10.1016/j.renene.2023.119277 · Cited by 26 · see citing works

Parameter adaptive joint estimation of state of charge and available capacity based on multi-innovation-state estimator fusion

Peng, L., Wang, S., Jin, P., Yuan, H., Ma, Z., & Yu, D. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.110582 · Cited by 15 · see citing works

An improved multi innovation adaptive robust dual kalman filter algorithm for estimating battery state

Guan, Z., Yang, F. Z., Yu, T., & An, A. (2023) · Ionics · doi:10.1007/s11581-023-05314-2 · Cited by 9 · see citing works

A Novel Enhanced SOC Estimation Method for Lithium-Ion Battery Cells Using Cluster-Based Lstm Models and Centroid Proximity SelectionPreprint

Al-Alawi, M., Jaddoa, A., Cugley, J., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4758431 · Cited by 1 · see citing works

A Physics-Guided Transformer for Robust State of Charge Estimation in Aging Lithium-Ion Batteries

Li, X., Wu, G., Chang, F., Xia, W., Sun, S., & Shen, Y. (2025) · Batteries · doi:10.3390/batteries11120446 · Cited by 2 · see citing works

Comparison of different joint configurations between two parallel SS-laminated BSCCO/Ag tapes

Kar, S., Kumar, R., Konduru, P., et al. (2010) · Physica C Superconductivity · doi:10.1016/j.physc.2010.04.007

STUDY ON "JOINT LOCATION SYSTEM"

Iguchi, Y., & Kishida, K. (1979) · Transactions of the Architectural Institute of Japan · doi:10.3130/aijsaxx.286.0_101

Relationship between Plasma, RBC, and CSF Lithium Concentrations in Human Subjects

White, K., Cohen, J., Boyd, J. L., et al. (2017) · International Pharmacopsychiatry · doi:10.1159/000468380 · Cited by 19 · see citing works

Alkenylation with lithium alkenyls. Part X. Some reactions of trimethylvinyl-lithium (1 : 2-dimethylpropenyl-lithium)

Braude, E. A., & Evans, E. A. (1955) · Journal of the Chemical Society (Resumed) · doi:10.1039/jr9550003331 · Cited by 6 · see citing works

Joint inspection in X-ray #0 belt tire based on periodic texture

Wu, Z., Lin, J., & Liu, W. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6507-2 · Cited by 6 · see citing works