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A critical review of using the Peukert equation for determining the remaining capacity of lead-acid and lithium-ion batteries

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Impedance-Based Simulation Models of Supercapacitors and Li-Ion Batteries for Power Electronic Applications

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Dynamic model of a lead acid battery for use in a domestic fuel cell system

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An Electrical Circuit for Modeling the Dynamic Response of Li-Ion Polymer Batteries

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Modeling of Lithium-Ion Battery for Energy Storage System Simulation

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Influence of charge mode on the capacity and cycle life of lead–acid battery negative plates

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A model for simulating a lead-acid battery using bond graphs

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Inductive modeling of lithium-ion cells

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Energetical Modeling of Lithium-Ion Batteries

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Energetical Modeling of Lithium-Ion Batteries

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A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

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State estimation for advanced battery management: Key challenges and future trends

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A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries

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A review on battery management system from the modeling efforts to its multiapplication and integration

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Perspectives and challenges for future lithium-ion battery control and management

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A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries

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A method for state of energy estimation of lithium-ion batteries based on neural network model

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Adaptive unscented Kalman filter based state of energy and power capability estimation approach for lithium-ion battery

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A method for state of energy estimation of lithium-ion batteries at dynamic currents and temperatures

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A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects

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

An online model-based method for state of energy estimation of lithium-ion batteries using dual filters

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A novel Gaussian model based battery state estimation approach: State-of-Energy

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Probability based remaining capacity estimation using data-driven and neural network model

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An adaptive remaining energy prediction approach for lithium-ion batteries in electric vehicles

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A highly accurate predictive-adaptive method for lithium-ion battery remaining discharge energy prediction in electric vehicle applications

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On-line remaining energy prediction: A case study in embedded battery management system

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Novel methods for estimating lithium-ion battery state of energy and maximum available energy

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Multi-timescale power and energy assessment of lithium-ion battery and supercapacitor hybrid system using extended Kalman filter

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A review of multi-state joint estimation for lithium-ion battery: Research status and suggestions

Liu, F., Yu, D., Shao, C., Liu, X., & Su, W. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.109071 · Cited by 82 · see citing works

A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs

Jiao, S., Zhang, G., Zhou, M., & Li, G. (2023) · IEEE Access · doi:10.1109/access.2023.3301989 · Cited by 76 · see citing works

A review on electrical and mechanical performance parameters in lithium-ion battery packs

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A review on Lithium-ion battery failure risks and mitigation indices for electric vehicle applications

Kalaikkanal, K., & Gobinath, N. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.126139 · Cited by 44 · see citing works

An equivalent circuit model for state of energy estimation of lithium-ion battery

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Model-based State-of-energy Estimation of Lithium-ion Batteries in Electric Vehicles

Wang, Y., Zhang, C., & Chen, Z. (2016) · Energy Procedia · doi:10.1016/j.egypro.2016.06.125 · Cited by 36 · see citing works

Remaining available energy prediction for lithium-ion batteries considering electrothermal effect and energy conversion efficiency

Chen, Y., Yang, X., Luo, D., & Wen, R. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102728 · Cited by 35 · see citing works

Assessment of battery ageing and implementation of an ageing aware control strategy for a load leveling application of a lithium titanate battery energy storage system

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Battery Management and Battery Diagnostics

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Dynamic internal resistance modeling and thermal characteristics of lithium-ion batteries for electric vehicles by considering state of health

Sun, Y., Liu, F., Qin, W., Li, J., Cheng, X., & Zeng, J. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234806 · Cited by 30 · see citing works

State of Energy Prediction in Renewable Energy-driven Mobile Edge Computing using CNN-LSTM Networks

Ku, Y.-J., Sapra, S., Baidya, S., & Dey, S. (2020) · IEEE Green Energy and Smart Systems Conference (IGESSC) · doi:10.1109/igessc50231.2020.9285102 · Cited by 25 · see citing works

Method for predicting the remaining mileage of electric vehicles based on dimension expansion and model fusion

Sheng, T., Li, C., Lv, Q., & Li, J. (2022) · IET Intelligent Transport Systems · doi:10.1049/itr2.12196 · Cited by 24 · see citing works

Battery pack condition monitoring and characteristic state estimation: Challenges, techniques, and future prospectives

Liu, S., Li, K., & Yu, J. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.114446 · Cited by 23 · see citing works

Determination of Lithium-Ion Battery Capacity for Practical Applications

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Combined State of Charge and State of Energy Estimation for Echelon-Use Lithium-Ion Battery Based on Adaptive Extended Kalman Filter

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Multi-algorithm fusion-based state of energy assessment of retired lithium-ion batteries

Chen, L., He, M., Wu, S., Chen, D., Zhao, M., & Pan, H. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.114690 · Cited by 21 · see citing works

Multi-State Online Estimation of Lithium-Ion Batteries Based on Multi-Task Learning

Bao, X., Liu, Y., Liu, B., Liu, H., & Wang, Y. (2023) · Energies · doi:10.3390/en16073002 · Cited by 20 · see citing works

Data-driven state of health and state of safety estimation for alternative battery chemistries — A comparative review focusing on sodium-ion and LFP lithium-ion batteries

Vanem, E., & Wang, S. (2025) · Future Batteries · doi:10.1016/j.fub.2025.100033 · Cited by 18 · see citing works

Maximum Available Capacity and Energy Estimation Based on Support Vector Machine Regression for Lithium-ion Battery

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Understanding the Energy Potential of Lithium‐Ion Batteries: Definition and Estimation of the State of Energy

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A SOE estimation method for lithium batteries considering available energy and recovered energy

Peng, H. L., Wang, C., Zhao, W., Wang, W., Wu, G., & Chang, C. (2022) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070211070441 · Cited by 16 · see citing works

An SOE estimation model considering electrothermal effect for LiFePO4/C battery

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Lithium-ion battery State-of-Latent-Energy (SoLE): A fresh new look to the problem of energy autonomy prognostics in storage systems

Rozas, H., Troncoso-Kurtovic, D., Ley, C. P., & Orchard, M. E. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102735 · Cited by 16 · see citing works

Cloud-Battery management system based health-aware battery fast charging architecture using error-correction strategy for electric vehicles

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Minimal aging operating strategies for battery energy storage systems in photovoltaic applications

Krüger, E., & Tran, Q. T. (2016) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope.2016.7856325 · Cited by 15 · see citing works

A Remaining Discharge Energy Prediction Method for Lithium-Ion Battery Pack Considering SOC and Parameter Inconsistency

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Techno-Economic Assessment of Green Hydrogen Production in Australia Using Off-Grid Hybrid Resources of Solar and Wind

Bagheri, B., Kumagai, H., Hashimoto, M., & Sugiyama, M. (2025) · Energies · doi:10.3390/en18133285 · Cited by 14 · see citing works

Remaining discharge energy estimation for lithium-ion batteries using pattern recognition and power prediction

Hatherall, O., Niri, M. F., Barai, A., Li, Y., & Marco, J. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107091 · Cited by 14 · see citing works

A high-fidelity hybrid lithium-ion battery model for SOE and runtime prediction

Li, K., Soong, B. H., & Tseng, K. J. (2017) · 2017 IEEE Applied Power Electronics Conference and Exposition (APEC) · doi:10.1109/apec.2017.7931032 · Cited by 12 · see citing works

Load leveling and dispatchability of a medium voltage active feeder through battery energy storage systems: Formulation of the control problem and experimental validation

Namor, E., Sossan, F., Cherkaoui, R., & Paolone, M. (2016) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope.2016.7856260 · Cited by 12 · see citing works

Study of the influencing factors on the discharging performance of lithium-ion batteries and its index of state-of-energy

Li, K., Tseng, K. J., & Moraleja, L. (2016) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2016.7793567 · Cited by 12 · see citing works

A Comprehensive Review of Key Technologies for Enhancing the Reliability of Lithium-Ion Power Batteries

Ren, Y., Jin, C., Fang, S., Yang, L., Wu, Z., Wang, Z., Peng, R., & Gao, K. (2023) · Energies · doi:10.3390/en16176144 · Cited by 12 · see citing works

Unscented Particle Filter Based State of Energy Estimation for LiFePO4 Batteries Using an Online Updated Model

Wei, X., Jun, C., Gu, Y. J., Ma, J., & Chang, J. (2022) · International Journal of Automotive Technology · doi:10.1007/s12239-022-0046-6 · Cited by 10 · see citing works

An electrical model capable of estimating the state of energy for lithium-ion batteries used in energy storage systems

Li, K., & Tseng, K. J. (2016) · IEEE Annual Southern Power Electronics Conference · doi:10.1109/spec.2016.7846167 · Cited by 9 · see citing works

Optimal neural network approach for estimating state of energy of lithium-ion battery using heuristic optimization techniques

Lipu, M. S. H., Hussain, A., Saad, M. H. M., & Hannan, M. A. (2017) · doi:10.1109/iceei.2017.8312418 · Cited by 7 · see citing works

Optimizing the electric multirotor aerial vehicle performance through inertia-preserved velocity and SOE estimation

Abdelkhalek, M., Bayezit, İ., & Tatar, A. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.126569 · Cited by 6 · see citing works

Energy Management System for a Low Voltage Direct Current Microgrid: Modeling and experimental validation

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Load Prediction Based Remaining Discharge Energy Estimation Using a Combined Online and Offline Prediction Framework

Hatherall, O., Marco, J., Barari, A., & Niri, M. F. (2022) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta49430.2022.9966117 · Cited by 6 · see citing works

Planning, building, efficiency measurement and determination of forecast data of a grid-scale hybrid 5 MW / 5 MWh battery storage system

Münderlein, J., Steinhoff, M., Axelsen, H., & Sauer, D. U. (2017) · International Telecommunications Energy Conference (INTELEC) · doi:10.1109/intlec.2017.8214155 · Cited by 6 · see citing works

Safer Batteries via Active Fault Tolerant Control

Dey, S., Shi, Y., Smith, K. A., & Khanra, M. (2019) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2019.8815009 · Cited by 6 · see citing works

SOH Estimation Model Based on an Ensemble Hierarchical Extreme Learning Machine

He, Y., Pattanadech, N., Sukemoke, K., Chen, L., & Li, L. (2025) · Electronics · doi:10.3390/electronics14091832 · Cited by 5 · see citing works

State of energy estimation of the echelon-use lithium-ion battery based on Takagi–Sugeno fuzzy optimization

Hou, E., Wang, Z., Wang, Z., Qiao, X., & Liu, G. (2023) · Frontiers in Energy Research · doi:10.3389/fenrg.2023.1137358 · Cited by 5 · see citing works

A method for deriving battery one-way efficiencies

Bobanac, V., Bašić, H., & Pandžić, H. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108815 · Cited by 5 · see citing works

Joint estimation of the state-of-charge and state-of-energy of lithium-ion batteries under diverse temperatures and discharging conditions using a data-driven model

Chen, B., Pan, J., & Liu, Y. (2025) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2025.110907 · Cited by 4 · see citing works

Simple indirect forecast of remaining discharge energy of lithium-ion battery under future complex discharge conditions

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Battery State of Charge and State of Energy Estimation

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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 · see citing works

A Method for Remaining Discharge Energy Prediction of Lithium-Ion Batteries Based on Terminal Voltage Prediction Model

Cao, Y., Wei, X., Dai, H., & Fang, Q. (2017) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2017.8330859 · Cited by 3 · see citing works

A Practical Lithium-ion Battery Model Based on the Butler-Volmer Equation

Li, K., Tseng, K. J., Wei, F., & Soong, B.-H. (2018) · 2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia) · doi:10.23919/ipec.2018.8507765 · Cited by 2 · see citing works

V2G Connected Battery Recharging and Refueling Driver Assistance System to Optimize Long Distance Operation

Aubeck, F., Birmes, G., & Pischinger, S. (2019) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2019.8917068 · Cited by 2 · see citing works

A high-fidelity hybrid lithium-ion battery model for state of energy and circuit characteristics prediction

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Refueling and Battery Charging Driver Assistance System for Online Operation Optimization of Connected Vehicles

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Real-time Adaptive State of Energy Estimation of Lithium-ion Batteries Applied in Electric Vehicles

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A Review of Estimation Methods for the State of Energy of Lithium Batteries for Electric Vehicles

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A mechanistic investigation of the relationship between battery energy and capacity

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Energetic Availability Forecasting of Electrochemical Accumulators by Estimation of State of Energy (SoE)

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New Method for the Energetic Performances Evaluation of Electrochemical Storage Devices

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