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

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Comparison of two battery equivalent circuit models for state of charge estimation in electric vehicles

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A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime

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SOC estimation method based on the ultrasonic guided waves considering the significant effect of charge/discharge rate

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Analytical Model Based Prediction of State-of-Charge (SoC) of a Lithium-Ion Cell under Time-Varying Charge/Discharge Currents

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Battery pack topology structure on state-of-charge estimation accuracy in electric vehicles

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A novel adaptive sliding mode observer for SOC estimation of lithium batteries in electric vehicles

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A Review of Lithium‐Ion Battery Empirical and Semi‐Empirical Aging Models for Off‐Grid Renewable Energy Systems Application

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A study of different machine learning algorithms for state of charge estimation in lithium‐ion battery pack

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Pushing the Envelope in Battery Estimation Algorithms

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A PID Framework With Intelligent Derivative Control and Model Bias for Robust State Estimation of Large Format Lithium-ion Batteries

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Battery Management System For Mobile Robots based on an Extended Kalman Filter Approch

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State estimator design for solar battery charger

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Battery Management System for Electric Drive Vehicles – Modeling, State Estimation and Balancing

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Multi-source transfer network for cross-domain state of charge estimation of lithium-ion batteries

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State of charge estimation based on extened Kalman filter algorithm for Lithium-Ion battery

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Robust State of Charge Estimation of Lithium-Ion Batteries via an Iterative Learning Observer

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A comparative study of observer design techniques for state of charge estimation in electric vehicles

Chen, X., Shen, W., Cao, Z., & Kapoor, A. (2012) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2012.6360705 · Cited by 12

Design of a Non-Linear Observer for SOC of Lithium-Ion Battery Based on Neural Network

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Sensitivity Analysis of Advanced Non-Linear Observer for States Estimation of Lithium ion Batteries

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Electric Model of Li-Ion Polymer Battery for Motor Driving Circuit in Hybrid Electric Vehicle

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On-line battery state of charge estimation using Gauss-Hermite quadrature filter

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Real-time estimation of model parameters and state-of-charge of lithiumion batteries in electric vehicles using recursive least-square with forgetting factor

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Active state and parameter estimation as part of intelligent battery systems

Schneider, D., Liebhart, B., & Endisch, C. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102638 · Cited by 12

An adaptive strategy for Li-ion battery internal state estimation

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A Current Sensor Fault-detecting Method for Onboard Battery Management Systems of Electric Vehicles Based on Disturbance Observer and Normalized Residuals

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Fuzzy Neural Network-Based Adaptive Sliding-Mode Descriptor Observer

Zhong, Z., Lam, H., Basin, M., & Zeng, X. (2024) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2024.3370693 · Cited by 11

Modelling of Li-ion batteries dynamics using impedance spectroscopy and pulse fitting: EVs application

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Robust battery fuel gauge algorithm development, part 3: State of charge tracking

Balasingam, B., Avvari, G. V., Pattipati, B., Pattipati, K. R., & Bar‐Shalom, Y. (2014) · International Conference on Renewable Energy Research and Applications (ICRERA) · doi:10.1109/icrera.2014.7016540 · Cited by 11

SOC estimation based on the gas‐liquid dynamics model using particle filter algorithm

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State of charge estimation based on improved Li-ion battery model using extended Kalman filter

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Integrated Battery Management System

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${\mathcal H}_{\infty }$ Functional Filtering for Linear Systems With Unknown Inputs

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Battery state of charge based algorithm for optimal wind farm power management

Patel, P., & Deb, D. (2017) · International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA) · doi:10.1109/cera.2017.8343298 · Cited by 9

Implementation of Hardware-in-the-Loop Based Platform for Real-time Battery State of Charge Estimation on Li-Ion Batteries of Electric Vehicles using Multilayer Perceptron

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An Adaptive PID Observer for Enhanced State Estimation of Lithium-Ion Batteries

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Differential flatness-based observer design for a PEM fuel cell using adaptive-gain sliding mode differentiators

Liu, J., Laghrouche, S., & Wack, M. (2013) · European Control Conference (ECC) · doi:10.23919/ecc.2013.6669475 · Cited by 9

Nonlinear adaptive estimation of the state of charge for Lithium-ion batteries

Wang, Y., Fang, H., Şahinoğlu, Z., Wada, T., & Hara, S. (2013) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2013.6760567 · Cited by 9

State of Charge estimation via extended Kalman filter designed for electrochemical equations

Afshar, S., Morris, K., & Khajepour, A. (2017) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2017.08.269 · Cited by 9

Design and Experiment of Nonlinear Observer with Adaptive Gains for Battery State of Charge Estimation

Zhao, L., Ji, G., & Liu, Z. (2017) · Energies · doi:10.3390/en10122046 · Cited by 9

A novel online adaptive fast simple state of charge estimation for Lithium Ion batteries

Poloei, F., Bakhshai, A., & Liu, Y. (2017) · International Conference on Renewable Energy Research and Applications (ICRERA) · doi:10.1109/icrera.2017.8191193 · Cited by 9

An optimal nonlinear observer for state-of-charge estimation of lithium-ion batteries

Tian, Y., Li, D., Tian, J., & Xia, B. (2017) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2017.8282810 · Cited by 9

Experimental Investigation of State and Parameter Estimation within Reconfigurable Battery Systems

Theiler, M., Schneider, D., & Endisch, C. (2023) · Batteries · doi:10.3390/batteries9030145 · Cited by 9

Battery state-of-charge estimation prototype using EMF voltage prediction

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State of Charge estimation of Li-ion battery in EVs based on second-order sliding mode observer

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An online state of charge estimation method: support vector machine battery model fusing a filtering algorithm

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Advanced battery modeling and State-of-Charge estimation of lithium-ion batteries: A comprehensive review of modeling approaches, parameterization, and operational challenges

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High capacity lifepo4 battery model with consideration of nonlinear capacity effects

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Model-in-the-Loop Testing of SOC and SOH Estimation Algorithms in Battery Management Systems

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An Artificial Neural Network-Based Battery Management System for LiFePO4 Batteries

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A New Modeling Approach to Predict ‘Peukert Effect’ for Lead Acid Batteries

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Luenberger observer for SoC determination of lithium-ion cells in mild hybrid vehicles, compared to a Kalman filter

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A new state of charge estimation method for lithium-ion battery based on sliding mode observer

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Estimation of SoC of Batteries Using Terminal Sliding-Mode Observer

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Current sensorless state of charge estimation approach for onboard battery systems with an unknown current estimator

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A Novel Real-Time State-of-Health and State-of-Charge Co-Estimation Method for LiFePO 4 Battery

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Thermal fault diagnostics in Lithium-ion batteries based on a distributed parameter thermal model

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Estimation of SOC in Lithium-Iron-Phosphate Batteries Using an Adaptive Sliding Mode Observer with Simplified Hysteresis Model during Electric Vehicle Duty Cycles

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Improved online parameter identification coupled with discrete wavelet transform for state-of-charge estimation under noise-riding discharging/charging battery voltage

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A research-industry perspective of battery systems technology for next-generation data centers

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Robust State of Charge Estimation of Lithium-Ion Batteries Using a Nonlinearity-Aware PID Observer

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Electrothermal Battery Pack Modeling and Simulation

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Extended Kalman Filter based Estimation of the State of Charge of Lithium-Ion cells using a Switched Model

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Development and HIL validation of observer-based monitoring algorithms of battery packs for eVTOL UAV applications

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Optimization of battery state of charge estimation method by correcting available capacity

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State-of-charge observers for lead-acid storage units used in autonomous solar applications

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The estimation of the state of charge for lithium-ion battery by fuzzy c-regression model (FCRM) clustering algorithm

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Model based Lithium Ion cell ageing data analysis

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Online SoC estimation for Li-ion batteries: A survey explore the distributed secure cloud management to battery packs

Han, F., See, K. W., Feng, Y., Yu, X., & Yi, X. (2017) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2017.8283137 · Cited by 5

Design and estimation of state-charging applied for lithium-ion battery based on Matlab-Simulink

Poonsuk, J., & Surapong, P. (2016) · Management and Innovation Technology International Conference (MITicon) · doi:10.1109/miticon.2016.8025222 · Cited by 5

Development of a Novel Air Hybrid Engine

Fazeli, A. M. (2011) · UWSpace (University of Waterloo) · Cited by 5

OCV Estimation in electrochemical batteries with an unknown linear model and finite excitation

Martí-Florences, M., Cecilia, A., Ortega, R. S., Bobtsov, A. A., & Costa‐Castelló, R. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.117665 · Cited by 4

Ultrasound-based state monitoring of lithium iron phosphate batteries considering mechanical constraint

Wang, H., Tong, W., Yang, C., Zhang, Y., Li, J., Li, D., & Liu, B. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.171392 · Cited by 4

Estimating the State of Charge of Lithium-Ion Batteries Based on the Transfer Function of the Voltage Response to the Current Pulse

Radaš, I., Pilat, N., Gnjatović, D., Šunde, V., & Ban, Ž. (2022) · Energies · doi:10.3390/en15186495 · Cited by 4

A LiFePO4 battery discharge simulator for EV applications — Part 1: Determining the optimal circuit based battery model

Enache, B., Alexandru, M. E., & Constantinescu, L. M. (2015) · International Symposium on Advanced Topics in Electrical Engineering · doi:10.1109/atee.2015.7133925 · Cited by 4

The fuzzy c-regression model of the lithium battery and its application to the estimation of the state of charge

Kung, C., & Chang, S.-C. (2012) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee.2012.6250837 · Cited by 4

Estimation of battery state of charge using H∞ observer

Lin, C., Zhang, F., Xue, H., & Lu, X. (2012) · International Power Electronics and Motion Control Conference (IPEMC) · doi:10.1109/ipemc.2012.6258898 · Cited by 4

State of charge estimation considering OCV hysteresis in lithium iron phosphate battery for UPS applications

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State of Charge Estimation for Advanced Batteries: Reduced Order Electrochemical Modeling with Error Compensation

Malinowski, K. (2011) · Cited by 4

State of Charge estimation algorithms in Lithium-ion battery-powered Electric Vehicles

MOUSSALLI, Z., Sedra, M. B., & Laachir, A. A. (2018) · IEEE International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) · doi:10.1109/icecocs.2018.8610646 · Cited by 4

Review of Model-Based State-Of-Charge Estimation Methods for Batteries of Electric Vehicles

Chendhuran, R. A., & Kumar, J. S. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-8221-9_244 · Cited by 4

DC-Side Sensorless Control of Battery Interfaced Three-Phase Full Bridge Cascaded H-Bridge Multilevel Grid-Connected Inverter

Algarny, K. S. A., Vilathgamuwa, D. M., & Broadmeadow, M. A. H. (2021) · IEEE Annual Southern Power Electronics Conference · doi:10.1109/spec52827.2021.9709479 · Cited by 4

Functional Observer Design for Li-Ion Battery State of Charge Estimation via Descriptor Systems Theory

Lone, J. A., Tomar, N. K., & Bhaumik, S. (2022) · Australian & New Zealand Control Conference (ANZCC) · doi:10.1109/anzcc56036.2022.9966968 · Cited by 4

SoC Estimation in Lithium-Ion Batteries with Noisy Measurements and Absence of Excitation

Martí-Florences, M., Cecilia, A., Clemente, A., & Costa‐Castelló, R. (2023) · Batteries · doi:10.3390/batteries9120578 · Cited by 4

Online SOC Estimation of Battery for Wireless Tramcar

Miyamoto, H., Morimoto, M., & Morita, K. (2013) · Electrical Engineering in Japan · doi:10.1002/eej.21174 · Cited by 4

Hysteresis in PDE model of a Li-ion battery

Afshar, S., Morris, K., & Khajepour, A. (2016) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2016.7525608 · Cited by 4

Developing a battery monitoring system software in matlab simulink environment using kalman filter

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Energy management of battery energy storage station considering system operation efficiency

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Battery State of Charge and State of Energy Estimation

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Combined Framework for State of Charge Estimation of Lithium-Ion Batteries: Optimized LSTM Network Integrated with IAOA and AUKF

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Robust battery fuel gauge algorithm development, part 1: Online parameter estimation

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Estimation of Lithium-Ion Battery State-of-Charge Using an Unscented Kalman Filter

Lagraoui, M., & Nejmi, A. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-0126-1_60 · Cited by 3

Online battery modeling for state-of-charge estimation using extended Kalman filter with Busse's adaptive rule

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A Novel Current Disturbance Estimation Method for Battery Management Systems in Electric Vehicle

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Online State of Charge Prediction in Next Generation Vehicle Batteries Using Deep Recurrent Neural Networks and Continuous Model Size Control

Hespeler, S. C., & Fuqua, D. (2021) · Journal of Energy and Power Technology · doi:10.21926/jept.2101003 · Cited by 3

State of Energy Estimation of Li-Ion Batteries Using Deep Neural Network and Support Vector Regression

Kumar, P., Rafat, Y., Cicconi, P., & Alam, M. S. (2022) · Springer eBooks · doi:10.1007/978-981-16-7723-6_16 · Cited by 3

Simple Diagnosis of Lifetime Characteristics of Used Automotive Storage Battery Cells

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Rechargeable Battery State Estimation Based on Adaptive-Rate Processing and Machine Learning

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