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[1]
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Optimization techniques for electrochemical devices for hydrogen production and energy storage applications
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International Journal of …,
2024 |
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[2]
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Sustainable graphene-based energy storage device technology: Materials, methods, Monitoring and digital twin
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Critical Reviews in …,
2024 |
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[3]
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Investigations of Different Approaches for Controlling the Speed of an Electric Motor with Nonlinear Dynamics Powered by a Li-Ion Battery-Case Study
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2023 |
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[4]
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Investigations on Using Intelligent Learning Techniques for Anomaly Detection and Diagnosis in Sensors Signals in Li-Ion Battery—Case Study
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Inventions,
2023 |
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[5]
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Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach
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Journal of Energy …,
2023 |
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[6]
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Investigations of Using an Intelligent ANFIS Modeling Approach for a Li-Ion Battery in MATLAB Implementation: Case Study
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Smart Mobility - Recent Advances, New Perspectives and Applications,
2022 |
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[7]
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A Comprehensive Review of State of Charge Estimation Techniques for Battery Energy Storagesystems in Power Grid
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SSRN Electronic Journal,
2022 |
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[8]
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Electric Vehicle State-of-charge Prediction using Deep LSTM Network Model
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2022 IEEE International …,
2022 |
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[9]
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Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries
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Advanced …,
2022 |
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[10]
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A comprehensive review of battery state of charge estimation techniques
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Sustainable Energy …,
2022 |
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[11]
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A syncretic state-of-charge estimator for LiFePO4 batteries leveraging expansion force
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Journal of Energy Storage,
2022 |
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[12]
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Optimal Power Management for Seismic Nodes
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… Research in Africa,
2021 |
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[13]
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Condition monitoring and fault detection for marine battery energy storage systems
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2021 |
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[14]
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State of Charge (SOC) Estimation Based on Extended Exponential Weighted Moving Average H∞ Filtering. Energies 2021, 14, 1655
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2021 |
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[15]
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State of Charge (SOC) Estimation Based on Extended Exponential Weighted Moving Average H∞ Filtering
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2021 |
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[16]
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Function Development for a Battery Management System for a HV-Battery
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2021 |
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[17]
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Predicting the state of charge and health of batteries using data-driven machine learning
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2020 |
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[18]
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Predicting the Current and Future State of Batteries using Data-Driven Machine Learning
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2020 |
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[19]
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State of charge estimation of a lithium‐ion battery using robust non‐linear observer approach
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2019 |
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[20]
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Karakter Kelistrikan Sistem Growbox Tabung Menggunakan Sel Surya
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2019 |
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[21]
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Advanced Monitoring Algorithms for Battery Storage Systems in Electric Vehicles
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2019 |
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[22]
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Estimation of state of charge for lithium-ion batteries-A Review
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2019 |
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[23]
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A Systematic Mixed Adaptive Observer and EKF Approach to Estimate the SOC and SOH of a Lithium-Ion Battery
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2019 |
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[24]
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Comparison of Li-Ion Battery State of Charge Prediction by Artificial Neural Network and Adaptive Neuro Fuzzy Inference System
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2019 |
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[25]
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Systematic mixed adaptive observer and EKF approach to estimate SOC and SOH of lithium–ion battery
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2019 |
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[26]
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State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles
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Energy,
2018 |
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[27]
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State of Charge Estimation of Power Battery Using Improved Back Propagation Neural Network
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2018 |
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[28]
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State of charge estimation of a lithium-ion battery using robust non-linear observer approach
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2018 |
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[29]
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Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter
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Mathematical Problems in Engineering,
2018 |
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[30]
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State of Charge Estimation of a Lithium-Ion Battery Using Robust Nonlinear Observer Approach
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IET Electrical Systems in Transportation,
2018 |
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[31]
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Auslegungsaspekte von Batteriepacks und Batteriemanagement-Systemen
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Thesis,
2018 |
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[32]
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State of health estimation of lithium-ion batteries based on combination of gaussian distribution data and least squares support vector machines regression
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Materials science forum,
2018 |
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[33]
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Lithium-ion battery models: a comparative study and a model-based powerline communication
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2017 |
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[34]
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Model-in-the-Loop Testing of SOC and SOH Estimation Algorithms in Battery Management Systems
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2017 |
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[35]
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Open-circuit voltage-based state of charge estimation of lithium-ion power battery by combining controlled auto-regressive and moving average modeling with …
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International Journal of Electrical Power & Energy Systems,
2017 |
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[36]
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Adaptive model-based state monitoring and prognostics for lithium-ion batteries
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2016 |
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[37]
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Some Constraints on the Reuse of Li-ion Batteries in Data Centers
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The Scientific Bulletin of Electrical Engineering Faculty,
2016 |
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[38]
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Accuracy improvement of SOC estimation in lithium-ion batteries
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Journal of Energy Storage,
2016 |
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[39]
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An on-line estimation of battery pack parameters and state-of-charge using dual filters based on pack model
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Energy,
2016 |
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[40]
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Evolutionary Networks with Generalized Neurons Applied in Battery SoC Estimation
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2016 |
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[41]
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A Self-Cognizant Dynamic System Approach for Prognostics and Health Management
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Journal of Power Sources,
2015 |
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[42]
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Estimation of Li-ion battery SOH using Fletcher-Reeves based ANFIS
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2015 |
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[43]
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State-of-Charge Estimation of Lithium-ion Battery for a Satellite Power Management System
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2015 |
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[44]
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Research on Remaining Driving Range Estimation of Electric Vehicle Based on Dynamic Working Condition
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2014 |
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[45]
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A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles
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2014 |
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[46]
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Research on Remaining Driving Range Estimation of Electric Vehicle Based on Dynamic Working Condition.
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Advanced Materials Research,
2014 |
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[47]
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A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery
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Applied Energy,
2014 |
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[48]
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Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
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Journal of Power Sources,
2014 |
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[49]
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On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models: Part 1. Requirements, critical review of methods and modeling
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Journal of Power Sources,
2014 |
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[50]
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Accuracy state of charge estimation used in energy storage system for electric transportation
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Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo. IEEE,
2014 |
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[51]
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A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter
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Journal of Power Sources,
2013 |
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[52]
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Estimating the State-of-Charge of all-Vanadium Redox Flow Battery using a Divided, Open-circuit Potentiometric Cell
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Elektronika ir Elektrotechnika,
2013 |
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