The novel state of charge estimation method for lithium battery using sliding mode observer

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

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs

Plett, G. L. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.02.032 · Cited by 1,927

Sliding Modes and their Application in Variable Structure Systems

Utkin, V. I. (1978) · Medical Entomology and Zoology · Cited by 1,827

Proceedings of the 40th IEEE Conference on Decision and Control

Rabah, R. (2001) · doi:10.1109/cdc.2001.981012 · Cited by 1,089

Nonlinear Observers for Predicting State-of-Charge and State-of-Health of Lead-Acid Batteries for Hybrid-Electric Vehicles

Bhangu, B. S., Bentley, P., Stone, D. A., & Bingham, C. M. (2005) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2004.842461 · Cited by 507

A review of state-of-charge indication of batteries by means of a.c. impedance measurements

Rodrigues, S., Munichandraiah, N., & Shukla, A. K. (2000) · Journal of Power Sources · doi:10.1016/s0378-7753(99)00351-1 · Cited by 438

The available capacity computation model based on artificial neural network for lead–acid batteries in electric vehicles

Chan, C. C., Lo, E. W. C., & Shen, W. (2000) · Journal of Power Sources · doi:10.1016/s0378-7753(99)00502-9 · Cited by 194

On variable structure observers

Haskara, İ., Ozguner, U., & Utkin, V. I. (2002) · doi:10.1109/vss.1996.578618 · Cited by 45

Application of Dynamic Cell Resistance for determination of state of charge

Samadi, M. F., Nazri, G. A., & Saif, M. (2014) · IEEE Transportation Electrification Conference and Expo · doi:10.1109/itec.2014.6861814 · Cited by 3

Observer-Based Diagnostic Scheme for Lithium-Ion Batteries

Biron, Z. A., Pisu, P., & Ayalew, B. (2015) · doi:10.1115/dscc2015-9913 · Cited by 3

Development of a Hardware-In-the-Loop Simulator for Battery Management Systems

Wang, L. (2014) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 3

State-of-charge and parameter estimation of lithium-ion battery using dual adaptive filter

Takegami, T., & Wada, T. (2017) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta.2017.8062643 · Cited by 3

Hysteresis Compensation in State-of-Charge Estimation with a Nonlinear Double-Capacitor Li-Ion Battery Model

Movahedi, H., Tian, N., Fang, H., & Rajamani, R. (2021) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc50511.2021.9482791 · Cited by 3

Robust observer for state-of-charge estimation of li-ion battery with uncertainties

Goh, T., Kim, D., Jeong, J. J., Park, M., & Kim, S. W. (2015) · Asian Control Conference (ASCC) · doi:10.1109/ascc.2015.7244562 · Cited by 2

Hybrid-Type Intelligent State of Charge Observer of Li-Ion Batteries

Hyun, C., & Baek, S.-M. (2021) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-021-00838-x · Cited by 2

Improved State-Of-Charge Estimation Algorithms for Lithium-ion Batteries in Electric Vehicles

Karthikeyan, M. V., Nivas, M. L. B., Prabhu, H. U., & Ramesh Babu, M. (2024) · IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) · doi:10.1109/incos59338.2024.10527653 · Cited by 2

A Novel Method for Obtaining the Electrical Model of Lithium Batteries in a Fully Electric Ultralight Aircraft

Salas-Cardona, J. A., Posada, A., Saldarriaga-Zuluaga, S. D., Muñóz-Galeano, N., & Lezama, J. M. L. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj15110482 · Cited by 2

Fuzzy observer design for local model network based battery state of charge estimation

Hametner, C., & Jakubek, S. (2013) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med.2013.6608732 · Cited by 2

A Robust Estimation of State of Charge for Electric Vehicle Batteries

Zhao, L., Li, H., Ji, G., & Liu, Z. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.10.050 · Cited by 2

Greedy Algorithm-Based Energy Management Method for Battery Energy Storage Station

Wang, W., Han, X., Wu, Y., Li, H., Li, X., & Jia, X. (2021) · IEEE Sustainable Power and Energy Conference (iSPEC) · doi:10.1109/ispec53008.2021.9735800 · Cited by 2

Estimation SOC for Li-Ion Batteries in EVs Using EKF

Kavash, A. (2015) · International Journal of Sciences: Basic and Applied Research · Cited by 2

Estimation of state of charge of Li-ion battery in EVs using relay feedback approach and super twisting sliding mode observer

Sethia, G., Majhi, S., & Nayak, S. K. (2017) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2017.8264405 · Cited by 2

SOC and SOH Estimation for a Lithium-Ion Battery Using a Novel Adaptive Observer Based Approach

Gholizadeh, M., & Yazdizadeh, A. (2020) · Iranian Conference on Electrical Engineering · doi:10.1109/icee50131.2020.9261026 · Cited by 2

Batteries Indication and Management

Kortschak, B. (2014) · Encyclopedia of Automotive Engineering · doi:10.1002/9781118354179.auto048 · Cited by 2

Kalman filter based state of charge estimation for valve regulated lead acid batteries in wind power smoothing applications

Knauff, M., & Niebur, D. (2013) · doi:10.17918/etd-4190 · Cited by 2

Machine Learning-Based State-of-Charge Prediction for Electric Bus Fleet: A Critical Analysis

Volturno, S., Martino, A. D., & Longo, M. (2025) · Electronics · doi:10.3390/electronics14214147 · Cited by 1

Adaptive State and Parameter Estimation for Parallel-Connected Batteries: A Descriptor System Approach With Experimental Validation

Espín, J., & Zhang, D. (2026) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2026.3719344 · Cited by 1

A framework with temperature-aware accuracy levels for battery modeling from datasheets

Petricca, M., Shin, D., Bocca, A., Macii, A., Macii, E., & Poncino, M. (2013) · International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS) · doi:10.1109/patmos.2013.6662189 · Cited by 1

A Novel Equivalent Circuit Model for Lithium-ion Battery with Complex Electrical Element Parameters

Wu, Z., Weng, R., Zhang, Z., & Li, J. (2016) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2016-01-1197 · Cited by 1

Trip Specific Worthiness of Replacement of Individual Cells for Battery Pack in Electric Vehicles

Ugle, R., & Li, Y. (2011) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2011-01-1361 · Cited by 1

A discrete-time nonlinear observer for state of charge estimation of lithium-ion batteries

Liang, L., Li, W., Liu, W., & Wu, X. (2016) · IEEE International Conference on Aircraft Utility Systems · doi:10.1109/aus.2016.7748066 · Cited by 1

New State of Energy estimator for a lead-acid battery

Pellegrino, L., Alimonti, G., & Redaelli, M. (2018) · AEIT International Annual Conference · doi:10.23919/aeit.2018.8577397 · Cited by 1

Robust Dissipative-based PI Observer Design for the State of Charge estimation of a Lithium-Ion Battery

Kumar, K. S. P., & Kumar, K. R. (2022) · Journal of Electrical Engineering and Automation · doi:10.36548/jeea.2022.1.005 · Cited by 1

Bias-Compensated State Estimation Algorithm for Lithium Iron Phosphate Batteries with Flat OCV-SOC Curves

Yi, B., Zhang, J., & Song, Z. (2024) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc60939.2024.10644501 · Cited by 1

Fuzzy C-Regression Models

Yu, Y. H., Song, L. X., & Zhang, K. L. (2013) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.278-280.1323 · Cited by 1

Fractional Order Terminal Sliding Mode Observer for State of Charge Estimation of Lithium-Ion Battery

Ma, Y., Xu, D., Yang, W., Pan, T., & Ding, Y. (2023) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls58216.2023.10167117 · Cited by 1

State-of-charge estimation of lithium-ion battery for a satellite power management system

Aung, H. (2016) · doi:10.32657/10356/66907 · Cited by 1

Lithium-Ion battery SOC estimation

Afshar, S. (2017) · UWSpace (University of Waterloo) · Cited by 1

The development of three-phase cascaded h-bridge multilevel inverter with DC-side sensor-less control for applications of independent MPPT photovoltaic and battery grid-connected systems

Algarny, K. S. A. (2021) · Queensland University of Technology · doi:10.5204/thesis.eprints.207283 · Cited by 1

A Deep Neural Network Regression of the Cahn–Hilliard Single-Particle Thermal Model for LiFePO4 BatteriesPreprint

Painter, R., Parthasarathy, R., Li, L., Embry, I., Sharpe, L., & Hargrove, S. K. (2023) · Preprints.org · doi:10.20944/preprints202306.0283.v1 · Cited by 1

Refinement of State of Charge Estimation Through Ampere-Hour Integral Method with Capacity CorrectionPreprint

Xia, B., Fu, H., & Zhang, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4753830 · Cited by 1

Switching-based state-of-charge estimation of lithium-ion batteries

Su, Y. (2011) · RIT Scholar Works (Rochester Institute of Technology) · Cited by 1

Improved equivalent circuit model for high capacity lithium ferro phosphate battery

Low, W. Y. (2012)

Design of A Novel Sliding Mode Observer for Chaotic Systems

Gharaveisi, A. A. (2008)

Decoupled state estimator design for stand-alone photovoltaic system

Kim, I.-S., Ji, P.-S., Han, U.-D., Lhee, C.-G., & Kim, H.-G. (2009) · International Telecommunications Energy Conference (INTELEC) · doi:10.1109/intlec.2009.5351945

System-level safe-operation-area fabrication of power electronic converter

Bai, H. K. (2011) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2011.6042990

Development and Estimation of Low Price-Small-Autopilot UAS for Geo-spatial Information Aquisition

., H. (2014) · Journal of the Korean Society of Civil Engineers · doi:10.12652/ksce.2014.34.4.1343

SOC Observer based on Piecewise Linear Modeling for Lithium-Polymer Battery

Chung, G.-B. (2015) · The Transactions of the Korean Institute of Power Electronics · doi:10.6113/tkpe.2015.20.4.344

Model based and intelligent monitoring and control of lithium-ion batteries

Samadi, M. F. (2016) · Summit (Simon Fraser University)

Trip specific worthiness of replacement of individual cells for battery pack in electric vehicles

Ugle, R., & Li, Y. (2011) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2011.6043031

Lithium-ion battery modeling and state-of-charge estimation

Tjandra, R. (2017) · doi:10.32657/10356/72699

Wireless Charging for EV/HEV with Prescriptive Analytics, Machine Learning, Cybersecurity and Blockchain Technology: Ongoing and Future Trends

Mishra, V., Kodakkadan, A. R., Koduri, R., Nandyala, S., & Manalikandy, M. (2019) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2019-01-0790

Characterization and Implementation of Battery Management System

Mohamed, A. T. (2019) · Smart Cities Symposium (SCS) · doi:10.1049/cp.2019.0215

Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device

Belhani, A., Lamamra, K., & M’Sirdi, N. K. (2021) · Energy Storage · doi:10.1002/est2.291

Online State of Charge Estimation of Liquid Metal Battery using Dual Adaptive Extended Kalman FilterPreprint

Cheng, X., Zhang, E., Jiang, K., & Wang, K. (2021) · doi:10.46855/energy-proceedings-7244

Design and implementation of fast charging system for electrical vehicle

Saahithi, S., Kavya, K. G. S., Kishore, R., Manasa, R., & Nagesh (2022) · AIP conference proceedings · doi:10.1063/5.0099792

Battery Power Prediction for Protecting Droop Cells from Over-discharging

Wu, H., Wang, Y.-Y., & Rober, K. B. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2022.10.283

Desarrollo de metodologías de estimación para sistemas de almacenamiento de energía no convencionales en topologías híbridas

Fornaro, P. (2023) · doi:10.35537/10915/150603

Validation and Benchmarking of Battery Management System

Kirti, Y., & Roy, A. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.50429

Energy Management, Efficiency, and Delivery

Lu, S., & Shi, W. (2024) · Springer eBooks · doi:10.1007/978-3-031-59963-7_5

Accurate Method for Identifying the Dual Polarization Model Parameters of a Lithium-Ion Battery Cell

Taouni, A., Ouchatti, A., & Abbou, A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-01536-5_12

UAV mission planning based on Prognosis & Health Management

Schacht-Rodríguez, R. (2019) · doi:10.70675/c49c346azc454z4990z8636za2b78a78988c

Diagnostic de la batterie et gestion de l’énergie pour applications embarquées

Meng, J. (2020) · doi:10.70675/08ef3fa0za60az4544zb1d8z0fbab43c100b

Modélisation, optimisation et gestion d’énergie d’une centrale hybride à énergie renouvelable

Omar, C. I. (2023) · doi:10.70675/dab9aa1fz9f13z4b18z9fc5zc1edc8202bac

A critical review of state of charge estimation and lifetime prediction models for batteries used in electric vehicles

Prakash, S. V. J., Ravisankar, B., Jayanthi, G., Sudha, G., Sabarish, P., Sakthidasan, A., & Durga Devi, R. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.112115 · Cited by 1

Robust State of Charge Estimation for Second-Life Lithium-Ion Batteries Using Adaptive Sliding Mode Observer

Rakthanyakarn, B., Chuayphan, N., Chaichumporn, C., Laptawee, S., Mai, N. T., Kamal, M. A. S., Murakami, I., & Yamada, K. (2026) · International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) · doi:10.1109/ecti-con68836.2026.11608992

State of Charge Estimation of Power Lithium-Ion Battery Based on Sliding Mode Observer

Wu, T. Z., Wang, M. Y., & Xiao, Q. (2013) · Advanced materials research · doi:10.4028/www.scientific.net/amr.805-806.1692 · Cited by 2

State of charge estimation based on a new sliding mode observer for lithium-ion batteries

Wang, G., Wang, Z., & Guo, H.-Z. (2015) · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) · doi:10.1109/iccwamtip.2015.7494012

Simply designed and universal sliding mode observer for the SOC estimation of lithium‐ion batteries

Chen, Q., Jiang, J., Ruan, H., & Zhang, C. (2017) · IET Power Electronics · doi:10.1049/iet-pel.2016.0095 · Cited by 39

Improved sliding mode observer for state of charge estimation of lithium-ion battery

Sui, X., Chen, Y., Zhang, X., & Liu, D. (2018) · Advanced Technology of Electrical Engineering and Energy · Cited by 1

State-of-charge estimation of lithium-ion power battery using sliding mode observer

Xiong, R. (2011) · Journal of Jilin University · Cited by 2