Time-Domain Parameter Extraction Method for Thévenin-Equivalent Circuit Battery Models
Abstract
This paper presents an analytical time-domain-based parameter identification method for Thévenin-equivalent circuit-based lithium-ion battery models. The method is based on the analysis of voltage-relaxation characteristics of pulse discharge and pulse charge experiments, and the method can be used for both discharge and charge operation with any number of parallel resistor-capacitor branches. The use of the method is demonstrated for a second-order model and validated with a real-world duty cycle. Experimental results for a commercial lithium-ion battery module are presented.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Due to omission of initial SOE, estimated SOE of online filters based on AUKF and dual filters remained diverged until 10 minutes after estimation started.
“However, due to the omission of the initial SOE, the estimated SOE of the online filters based on, for example AUKF [19,20] and dual filters [21], remained diverged until 10 minutes after the estimat ion started.”
From A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects (2018) · cites this paper as [21]
Cites
Accurate electrical battery model capable of predicting runtime and I-V performance
Chen, M., & Rincon-Mora, G. A. (2006) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2006.874229 · Cited by 2,427 · see citing works
A comparative study of equivalent circuit models for Li-ion batteries
Hu, X., Li, S., & Peng, H. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.10.013 · Cited by 2,179 · see citing works
History, Evolution, and Future Status of Energy Storage
Whittingham, M. S. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2012.2190170 · Cited by 878 · see citing works
He, H., Xiong, R., Zhang, X., Sun, F., & Fan, J. (2011) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2011.2132812 · Cited by 825 · see citing works
Algorithms for Advanced Battery-Management Systems
Chaturvedi, N. A., Klein, R., Christensen, J., Ahmed, J., & Kojić, A. (2010) · IEEE Control Systems · doi:10.1109/mcs.2010.936293 · Cited by 595 · see citing works
Buller, S., Thele, M., DeDoncker, R. W. A. A., & Karden, E. (2005) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2005.847280 · Cited by 381 · see citing works
Rapid test and non-linear model characterisation of solid-state lithium-ion batteries
Abu-Sharkh, S., & Doerffel, D. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2003.12.001 · Cited by 366 · see citing works
An analytical model for predicting the remaining battery capacity of lithium-ion batteries
Rong, P., & Pedram, M. (2006) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2006.876094 · Cited by 325 · see citing works
Buller, S., Thele, M., Doncker, R. W. D., & Karden, E. (2004) · IEEE Industry Applications Society Annual Meeting (IAS) · doi:10.1109/ias.2003.1257769 · Cited by 323 · see citing works
Kim, T., & Qiao, W. (2011) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2011.2167014 · Cited by 312 · see citing works
Modeling of high power automotive batteries by the use of an automated test system
Schweighofer, B., Raab, K. M., & Brasseur, G. (2003) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2003.814827 · Cited by 309 · see citing works
Dynamical models of lead-acid batteries: implementation issues
Barsali, S., & Ceraolo, M. (2002) · IEEE Transactions on Energy Conversion · doi:10.1109/60.986432 · Cited by 268 · see citing works
Pattipati, B., Sankavaram, C., & Pattipati, K. R. (2011) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2010.2089979 · Cited by 267 · see citing works
Comparison, Selection, and Parameterization of Electrical Battery Models for Automotive Applications
Einhorn, M., Conte, F. V., Kral, C., & Fleig, J. (2012) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2210564 · Cited by 221 · see citing works
Hu, Y., Yurkovich, S., GUEZENNEC, Y. G., & Yurkovich, B. J. (2009) · Control Engineering Practice · doi:10.1016/j.conengprac.2009.05.002 · Cited by 188 · see citing works
Impedance Observer for a Li-Ion Battery Using Kalman Filter
Vinh, D., Forgez, C., Benkara, K. E. K., & Friedrich, G. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2028572 · Cited by 179 · see citing works
Reliable State Estimation of Multicell Lithium-Ion Battery Systems
Roscher, M. A., Bohlen, O. S., & Sauer, D. U. (2011) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2011.2155657 · Cited by 113 · see citing works
Modeling Discharge Behavior of Multicell Battery
Zhang, J., Ci, S., Sharif, H., & Alahmad, M. A. (2010) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2010.2048904 · Cited by 107 · see citing works
Hu, X., Sun, F., Zou, Y., & Peng, H. (2011) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2011.5991260 · Cited by 105 · see citing works
Multiphysical Lithium-Based Battery Model for Use in State-of-Charge Determination
Watrin, N., Ostermann, H., Blunier, B., & Miraoui, A. (2012) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2012.2205169 · Cited by 74 · see citing works
Simple Analytical Method for Determining Parameters of Discharging Batteries
Hu, T., Zanchi, B., & Zhao, J. (2011) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2011.2129594 · Cited by 48 · see citing works
A new parameter estimation algorithm for an electrical analogue battery model
Li, J., Mazzola, M. S., Gafford, J. R., & Younan, N. H. (2012) · Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · doi:10.1109/apec.2012.6165855 · Cited by 41 · see citing works
Fast and accurate battery model applicable for EV and HEV simulation
Schweighofer, B., Wegleiter, H., Recheis, M., & Fulmek, P. L. (2012) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc.2012.6229525 · Cited by 15 · see citing works
Hybridization of a Mobile Work Machine
Lehmuspelto, T., Heiska, M., Leivo, A., & Hentunen, A. (2009) · World Electric Vehicle Journal · doi:10.3390/wevj3040787 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
How, D. N. T., Hannan, M. A., Lipu, M. S. H., & Ker, P. J. (2019) · IEEE Access · doi:10.1109/access.2019.2942213 · Cited by 823 · see citing works
A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems
Rouholamini, M., Wang, C., Nehrir, M. H., Hu, X., Hu, Z., Aki, H., Zhao, B., Miao, Z., & Strunz, K. (2022) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2022.3188598 · Cited by 270 · see citing works
Hossain, M., Haque, M. E., & Arif, M. T. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104174 · Cited by 249 · see citing works
Battery Energy Storage Models for Optimal Control
Rosewater, D., Copp, D. A., Nguyen, T. A., Byrne, R. H., & Santoso, S. (2019) · IEEE Access · doi:10.1109/access.2019.2957698 · Cited by 187 · see citing works
Correlation between the model accuracy and model-based SOC estimation
Wang, Q., Wang, J., Zhao, P., Kang, J., Few, Y., & Du, C. (2017) · Electrochimica Acta · doi:10.1016/j.electacta.2017.01.057 · Cited by 175 · see citing works
State of art on state estimation: Kalman filter driven by machine learning
Bai, Y., Yan, B., Zhou, C., Su, T., & Jin, X. (2023) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2023.100909 · Cited by 175 · see citing works
Stroe, D., Swierczynski, M. J., Kær, S. K., & Teodorescu, R. (2017) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2017.2756026 · Cited by 170 · see citing works
Ragone, M., Yurkiv, V., Ramasubramanian, A., Kashir, B., & Mashayek, F. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.229108 · Cited by 162 · see citing works
Li, K., Wei, F., Tseng, K. J., & Soong, B.-H. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2779411 · Cited by 160 · see citing works
Enhanced Coulomb Counting Method for SoC and SoH Estimation Based on Coulombic Efficiency
Lee, J., & Won, J. (2023) · IEEE Access · doi:10.1109/access.2023.3244801 · Cited by 148 · see citing works
An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery
Madani, S. S., Schaltz, E., & Kær, S. K. (2019) · Batteries · doi:10.3390/batteries5010031 · Cited by 144 · see citing works
A comprehensive review of battery state of charge estimation techniques
Hassan, M. U., Saha, S., Haque, M. E., Islam, S. N., Mahmud, A., & Mendis, N. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102801 · Cited by 115 · see citing works
Du, X.-H., Meng, J.-H., Amirat, Y., Gao, F., & Benbouzid, M. (2024) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2024.04.005 · Cited by 101 · see citing works
Modularized Design of Active Charge Equalizer for Li-Ion Battery Pack
Lee, S., Lee, K., Choi, Y.-G., & Kang, B. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2813997 · Cited by 108 · see citing works
Peng, J., Meng, J., Wu, J., Deng, Z., Lin, M., Mao, S., & Stroe, D. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108197 · Cited by 111 · see citing works
Generalized Characterization Methodology for Performance Modelling of Lithium-Ion Batteries
Stroe, D., Swierczynski, M. J., Stroe, A., & Kær, S. K. (2016) · Batteries · doi:10.3390/batteries2040037 · Cited by 98 · see citing works
Comparison of the state of Lithium-Sulphur and lithium-ion batteries applied to electromobility
Benveniste, G., Rallo, H., Casals, L. C., Merino, A., & García, B. A. (2018) · Journal of Environmental Management · doi:10.1016/j.jenvman.2018.08.008 · Cited by 95 · see citing works
Song, Y., Park, M., Seo, M., & Kim, S. W. (2019) · International Conference on Smart and Sustainable Technologies (SpliTech) · doi:10.23919/splitech.2019.8783149 · Cited by 91 · see citing works
Samanta, A., & Chowdhuri, S. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.102109 · Cited by 86 · see citing works
Laadjal, K., & Cardoso, A. J. M. (2021) · Electronics · doi:10.3390/electronics10131588 · Cited by 87 · see citing works
Yuan, H.-F., & Dung, L.-R. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2572163 · Cited by 85 · see citing works
One-shot parameter identification of the Thevenin’s model for batteries: Methods and validation
Tian, N., Wang, Y., Chen, J., & Fang, H. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101282 · Cited by 81 · see citing works
An LCC Based String-to-Cell Battery Equalizer with Simplified Constant Current Control
Wei, Z., Peng, F., & Wang, H. (2021) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2021.3102627 · Cited by 80 · see citing works
Wang, S., Shang, L., Li, Z., Deng, H., & Li, J. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.013 · Cited by 75 · see citing works
Hinz, H. (2019) · Inventions · doi:10.3390/inventions4030041 · Cited by 73 · see citing works
Zheng, S., Teh, J., Alharbi, B., & Lai, C. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113908 · Cited by 74 · see citing works
Goldammer, E., & Kowal, J. (2021) · Batteries · doi:10.3390/batteries7020036 · Cited by 69 · see citing works
Impedance Analysis and Parameter Estimation of Lithium-Ion Batteries Using the EIS Technique
Nunes, H., Martinho, J., Fermeiro, J., Pombo, J., Mariano, S. J. P. S., & Calado, M. R. A. (2024) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2024.3365451 · Cited by 68 · see citing works
Bruch, M., Millet, L., Kowal, J., & Vetter, M. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.229513 · Cited by 67 · see citing works
Yang, J., Huang, W., Xia, B., & Mi, C. C. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.01.060 · Cited by 66 · see citing works
Simulation of Thermal Behaviour of a Lithium Titanate Oxide Battery
Madani, S. S., Schaltz, E., & Kær, S. K. (2019) · Energies · doi:10.3390/en12040679 · Cited by 65 · see citing works
Mohamed, M. A. A., Yu, T. F., Ramsden, G., Marco, J., & Grandjean, T. R. B. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.115581 · Cited by 65 · see citing works
He, L., & Guo, D. (2019) · IEEE Access · doi:10.1109/access.2019.2921105 · Cited by 65 · see citing works
Li, C., Cui, N., Cui, Z., Wang, C., & Zhang, C. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.230993 · Cited by 64 · see citing works
A Novel Multiple Correction Approach for Fast Open Circuit Voltage Prediction of Lithium-Ion Battery
Meng, J., Stroe, D., Ricco, M., Luo, G., Swierczynski, M. J., & Teodorescu, R. (2018) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2018.2880561 · Cited by 64 · see citing works
Kalogiannis, T., Hosen, M. S., Akbarzadeh, M., Goutam, S., Jaguemont, J., Jin, L., Qiao, G., Berecibar, M., & Mierlo, J. V. (2019) · Energies · doi:10.3390/en12214031 · Cited by 64 · see citing works
Stroe, D., Zaharof, A., & Iov, F. (2018) · Energy Procedia · doi:10.1016/j.egypro.2018.11.033 · Cited by 63 · see citing works
Estevez, M. A. P., Calligaro, S., Bottesi, O., Caligiuri, C., & Renzi, M. (2021) · Energy · doi:10.1016/j.energy.2021.121296 · Cited by 63 · see citing works
Modeling Li-ion batteries for automotive application: A trade-off between accuracy and complexity
Cittanti, D., Ferraris, A., Airale, A. G., Fiorot, S., Scavuzzo, S., & Carello, M. (2017) · AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) · doi:10.23919/eeta.2017.7993213 · Cited by 62 · see citing works
Wang, J., Meng, J., Peng, Q., Liu, T., & Peng, J. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111473 · Cited by 62 · see citing works
Online battery state-of-charge estimation methods in micro-grid systems
Boulmrharj, S., Ouladsine, R., NaitMalek, Y., Bakhouya, M., Zine-Dine, K., Khaidar, M., & Siniti, M. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101518 · Cited by 61 · see citing works
Hossain, M., Haque, M. E., & Arif, M. T. (2022) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2022.3178600 · Cited by 59 · see citing works
Lipu, M. S. H., Miah, M. S., Ansari, S., Wali, S. B., Jamal, T., Elavarasan, R. M., Kumar, S., Ali, M. M. N., Sarker, M. R., Aljanad, A., et al. (2022) · Batteries · doi:10.3390/batteries8110219 · Cited by 64 · see citing works
A Parameter Extraction Method for the Li-Ion Batteries With Wide-Range Temperature Compensation
Hossain, M., Saha, S., Arif, M. T., Oo, A. M. T., Mendis, N., & Haque, M. E. (2020) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2020.3011385 · Cited by 58 · see citing works
Bellache, K., Camara, M. B., & Dakyo, B. (2017) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2017.2737828 · Cited by 54 · see citing works
Gandolfo, D. C., Brandao, A. S., Patino, D. H., & Molina, M. G. (2014) · Journal of the Energy Institute · doi:10.1016/j.joei.2014.10.004 · Cited by 53 · see citing works
Analysis of equivalent circuit models in lithium-ion batteries
You, H. W., Bae, J. I., Cho, S. J., Lee, J. M., & Kim, S. (2018) · AIP Advances · doi:10.1063/1.5054384 · Cited by 52 · see citing works
Future Trends and Aging Analysis of Battery Energy Storage Systems for Electric Vehicles
Asef, P., Milan, M., Lapthorn, A., & Padmanaban, S. (2021) · Sustainability · doi:10.3390/su132413779 · Cited by 51 · see citing works
Eddine, A. N., Huard, B., Gabano, J.-D., & Poinot, T. (2019) · Control Engineering Practice · doi:10.1016/j.conengprac.2019.03.001 · Cited by 51 · see citing works
Wang, J., Meng, J., Peng, Q., Liu, T., Zeng, X., Chen, G., & Li, Y. (2023) · Batteries · doi:10.3390/batteries9030180 · Cited by 50 · see citing works
LeBel, F.-A., Messier, P., Sarı, A., & Trovão, J. P. F. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105303 · Cited by 49 · see citing works
Review of Cell Level Battery (Calendar and Cycling) Aging Models: Electric Vehicles
Yarimca, G., & Çetkin, E. (2024) · Batteries · doi:10.3390/batteries10110374 · Cited by 48 · see citing works
Zhu, R., Duan, B., Zhang, C., & Gong, S. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113339 · Cited by 47 · see citing works
Yang, J., Cai, Y., & Mi, C. C. (2021) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2021.3125932 · Cited by 47 · see citing works
Theliander, O., Kersten, A., Kuder, M., Han, W., Grunditz, E. A., & Thiringer, T. (2020) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2020.3026662 · Cited by 45 · see citing works
State of charge estimation techniques of Li-ion battery of electric vehicles
Singh, A., Pal, K., & Vishwakarma, C. B. (2023) · e-Prime - Advances in Electrical Engineering Electronics and Energy · doi:10.1016/j.prime.2023.100328 · Cited by 45 · see citing works
Liu, X., Li, Y., Kang, Y., Zhao, G., Duan, B., & Zhang, C. (2023) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2023.3304754 · Cited by 43 · see citing works
Wehbe, J., & Karami, N. (2015) · International Conference on Technological Advances in Electrical, Electronics and Computer Engineering · doi:10.1109/taeece.2015.7113598 · Cited by 43 · see citing works
A robust, intelligent CC-CV fast charger for aging lithium batteries
Dung, L.-R., Chen, C.-E., & Yuan, H.-F. (2016) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie.2016.7744901 · Cited by 42 · see citing works
Chen, A., Zhang, W., Zhang, C., Huang, W., & Liu, S. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2955413 · Cited by 41 · see citing works
Pai, H.-Y., Liu, Y. H., & Ye, S.-P. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.106901 · Cited by 40 · see citing works
Fan, C., O’Regan, K. B., Li, L., Higgins, M. D., Kendrick, E., & Widanage, W. D. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119336 · Cited by 40 · see citing works
Scientometric research and critical analysis of battery state-of-charge estimation
Yang, F., Shi, D., Mao, Q., & Lam, K. H. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.106283 · Cited by 40 · see citing works
Cheng, Y.-S. (2022) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2023.102481 · Cited by 40 · see citing works
An equivalent circuit model for state of energy estimation of lithium-ion battery
Li, K., & Tseng, K. J. (2016) · Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · doi:10.1109/apec.2016.7468359 · Cited by 39 · see citing works
Improved Battery Parameter Estimation Method Considering Operating Scenarios for HEV/EV Applications
Yang, J., Xia, B., Shang, Y., Huang, W., & Mi, C. C. (2016) · Energies · doi:10.3390/en10010005 · Cited by 38 · see citing works
Lithium-ion battery dynamic model for wide range of operating conditions
Stroe, A., Stroe, D., Swierczynski, M. J., Teodorescu, R., & Kær, S. K. (2017) · International Aegean Conference on Electrical Machines and Power Electronics & International Conference on Optimization of Electrical and Electronic Equipment (ACEMP-OPTIM) · doi:10.1109/optim.2017.7975044 · Cited by 38 · see citing works
An Adaptive SPWM Technique for Cascaded Multilevel Converters With Time-Variant DC Sources
Lamb, J. M., & Mirafzal, B. (2016) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2016.2573755 · Cited by 36 · see citing works
A Parameter Extraction Method for the Thevenin Equivalent Circuit Model of Li-ion Batteries
Hossain, M., Saha, S., Haque, M. E., Arif, M. T., & Oo, A. M. T. (2019) · IEEE Industry Applications Society Annual Meeting (IAS) · doi:10.1109/ias.2019.8912326 · Cited by 36 · see citing works
Transfer Learning for Adapting Battery State-of-Health Estimation From Laboratory to Field Operation
Vilsen, S. B., & Stroe, D. (2022) · IEEE Access · doi:10.1109/access.2022.3156657 · Cited by 31 · see citing works
Unified model of lithium-ion battery and electrochemical storage system
Barcellona, S., Colnago, S., Codecasa, L., & Piegari, L. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.109202 · Cited by 28 · see citing works
Optimization of Shift Schedule for Hybrid Electric Vehicle with Automated Manual Transmission
Shen, W., Yu, H., Hu, Y., & Xi, J. (2016) · Energies · doi:10.3390/en9030220 · Cited by 30 · see citing works
Luenberger-based State-Of-Charge evaluation and experimental validation with lithium cells
Ceraolo, M., Lutzemberger, G., Poli, D., & Scarpelli, C. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101534 · Cited by 30 · see citing works
Robust State of Charge estimation for Li-ion batteries based on Extended State Observers
Sandoval-Chileño, M. A., Castañeda, L., Luviano‐Juárez, A., Gutiérrez-Frías, O., & Vázquez-Arenas, J. G. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101718 · Cited by 30 · see citing works
Kersten, A., Kuder, M., Han, W., Thiringer, T., Lesnicar, A., Weyh, T., & Eckerle, R. (2020) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon43393.2020.9254515 · Cited by 30 · see citing works
Challenges in modeling high power lithium titanate oxide cells in battery management systems
Schröer, P., van Faassen, H., Nemeth, T., Kuipers, M., & Sauer, D. U. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2019.101189 · Cited by 29 · see citing works
Battery management system for zinc-based flow batteries: A review
Zhao, Y., & Zheng, M. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.115604 · Cited by 28 · see citing works
Meng, J., Du, X., Peng, J., Lin, M., & Song, Z. (2023) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2023.3306426 · Cited by 28 · see citing works
Stroe, A., Meng, J., Stroe, D., Swierczynski, M. J., Teodorescu, R., & Kær, S. K. (2018) · Energies · doi:10.3390/en11040795 · Cited by 28 · see citing works
Detailed Modelling Procedure for Lithium-ion Battery Using Thevenin Equivalent
Gurjer, L., Chaudhary, P., & Verma, H. (2019) · International Conference on Electrical, Computer and Communication Technologies (ICECCT) · doi:10.1109/icecct.2019.8869224 · Cited by 27 · see citing works
Stroe, D., Swierczynski, M. J., Kær, S. K., & Teodorescu, R. (2016) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce.2016.7854664 · Cited by 27 · see citing works
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 26 · see citing works
Ma, Y., Ru, J., Yin, M., Chen, H., & Zheng, W. (2016) · Journal of Applied Electrochemistry · doi:10.1007/s10800-016-0998-1 · Cited by 25 · see citing works
An Enhanced Hybrid Battery Model
Kim, T., Qiao, W., & Qu, L. (2019) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2019.2935700 · Cited by 24 · see citing works
Ke, X., Hong, H., Zheng, P., Zhang, S., Zhu, L., Li, Z., Cai, J., Fan, P., Yang, J. J., Wang, J., et al. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113506 · Cited by 24 · see citing works
Fan, Y., Zhang, Z., Yang, G., Pan, T., Tian, J., Li, M., Liu, X., & Wang, P. (2024) · Measurement · doi:10.1016/j.measurement.2024.116263 · Cited by 24 · see citing works
Wang, Q., Shen, J.-N., He, Y., & Ma, Z. (2020) · Chinese Physics B · doi:10.1088/1674-1056/ab90f8 · Cited by 23 · see citing works
Schröer, P., Khoshbakht, E., Nemeth, T., Kuipers, M., Zappen, H., & Sauer, D. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101966 · Cited by 19 · see citing works
Wang, N., Chen, A., Zhao, W., Zhu, R., & Duan, B. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105326 · Cited by 23 · see citing works
Khan, K., Jafari, M., & Gauchía, L. (2018) · IET Electrical Systems in Transportation · doi:10.1049/iet-est.2017.0087 · Cited by 23 · see citing works
Sedlařík, M., Vyroubal, P., Capková, D., Omerdić, E., Rae, M., Mačák, M., Šedina, M., & Kazda, T. (2025) · Electrochimica Acta · doi:10.1016/j.electacta.2025.145988 · Cited by 22 · see citing works
Bacon, V. D., da Silva, S. A. O., & Guerrero, J. M. (2021) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2021.107638 · Cited by 22 · see citing works
Comparison of parametrization techniques for an electrical circuit model of Lithium-Sulfur batteries
Knap, V., Stroe, D., Teodorescu, R., Swierczynski, M. J., & Stanciu, T. (2015) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2015.7281919 · Cited by 22 · see citing works
Goshtasbi, A., Zhao, R., Wang, R., Han, S., Ma, W., & Neubauer, J. S. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.235188 · Cited by 20 · see citing works
Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs
Wang, S., Jia, X., Takyi‐Aninakwa, P., Stroe, D., & Fernández, C. (2023) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/acd148 · Cited by 21 · see citing works
A non-linear dynamic electrical model of Sodium-Nickel Chloride Batteries
Musio, M., & Damiano, A. (2015) · International Conference on Renewable Energy Research and Applications (ICRERA) · doi:10.1109/icrera.2015.7418535 · Cited by 19 · see citing works
Development of an Equivalent Circuit for Batteries Based on a Distributed Impedance Network
Khayamy, M., Nasiri, A., & Okoye, O. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2989715 · Cited by 19 · see citing works
Pillai, P., Sundaresan, S., Pattipati, K. R., & Balasingam, B. (2022) · Energies · doi:10.3390/en15228441 · Cited by 18 · see citing works
Uhm, T., & Kim, S. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2024.3449273 · Cited by 18 · see citing works
Temperature-Dependent Thévenin Model of a Li-Ion Battery for Automotive Management and Control
Rizzello, A., Scavuzzo, S., Ferraris, A., Airale, A., & Carello, M. (2020) · 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) · doi:10.1109/eeeic/icpseurope49358.2020.9160544 · Cited by 10 · see citing works
- Authors
- Hentunen, A., Lehmuspelto, T., & Suomela, J.
- Affiliations
- Aalto University (FI)
- ORCID
- Hentunen, Ari
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2014-09
- Volume
- 29
- Issue
- 3
- Pages
- 558-566
- ISSN
- 0885-8969 (ISSN-L)
- 1558-0059
- OpenAlex
- W2056570357
- Cited by
- 245
- References
- 24
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 33 · 2023: 27 · 2022: 25 · 2021: 20 · 2020: 26 · 2019: 30 · 2018: 13 · 2017: 13 · 2016: 21 · 2015: 5 · 2014: 1
- FWCI
- 16.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Energy Conversion (publishedVersion)
- Funders
- Multidisciplinary Institute of Digitalization and Energy (MIDE) of Aalto University and Finnish Funding Agency for Technology and Innovation (Tekes)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- lithium-ion battery modeling, Thevenin equivalent circuit, parameter estimation, voltage relaxation, pulsed discharge, battery modules
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
