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State of Charge Estimation of Lithium-Ion Batteries Using a Discrete-Time Nonlinear Observer

https://doi.org/10.1109/tie.2017.2703685
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
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The novel state of charge estimation method for lithium battery using sliding mode observer
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Li-ion battery SOC estimation method based on the reduced order extended Kalman filtering
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A comparative study of equivalent circuit models for Li-ion batteries
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A novel method for state of charge estimation of lithium-ion batteries using a nonlinear observer
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State of charge estimation for electric vehicle batteries using unscented kalman filtering
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An observer for systems with nonlinear output map
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A discrete time variable structure observer for uncertain systems with measurement noise
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Modeling of Electric Vehicle batteries using RBF neural networks
inferredcites →https://doi.org/10.1109/ecce.2013.6646714openalex-snapshot
Online SOC and SOH estimation for multicell lithium-ion batteries based on an adaptive hybrid battery model and sliding-mode observer
inferredcites →https://doi.org/10.1109/iecon.2013.6700243openalex-snapshot
Development of a one-dimensional thermal-electrochemical model of lithium ion battery
inferredcites →https://doi.org/10.1109/mie.2013.2250351openalex-snapshot
Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
inferredcites →https://doi.org/10.1109/tpel.2013.2243918openalex-snapshot
Support Vector Machines Used to Estimate the Battery State of Charge
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Neural Network-Based Residual Capacity Indicator for Nickel-Metal Hydride Batteries in Electric Vehicles
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State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
inferredcites →https://doi.org/10.1109/tvt.2012.2235474openalex-snapshot
State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering
inferredcites →https://doi.org/10.2172/991910openalex-snapshot
Battery Test Manual For Plug-In Hybrid Electric Vehicles

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inferred← citeshttps://doi.org/10.3390/en14020324openalex-snapshot
Online State-of-Charge Estimation Based on the Gas–Liquid Dynamics Model for Li(NiMnCo)O2 Battery
inferred← citeshttps://doi.org/10.3390/en15093404openalex-snapshot
Genetically Optimized Extended Kalman Filter for State of Health Estimation Based on Li-Ion Batteries Parameters
inferred← citeshttps://doi.org/10.3390/en17112700openalex-snapshot
Linear, Nonlinear, and Distributed-Parameter Observers Used for (Renewable) Energy Processes and Systems—An Overview
inferred← citeshttps://doi.org/10.3390/en17225754openalex-snapshot
Comprehensive Review of Lithium-Ion Battery State of Charge Estimation by Sliding Mode Observers
inferred← citeshttps://doi.org/10.3390/en18040799openalex-snapshot
Composite Power Management Strategy for Hybrid Powered Compound-Wing Aircraft in Level Flight
inferred← citeshttps://doi.org/10.3390/ma15175933openalex-snapshot
A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime
inferred← citeshttps://doi.org/10.3390/math14111863openalex-snapshot
Joint Parameter and State of Charge Estimation via Temperature-Decoupled Modeling and Adaptive Multi-Innovation Unscented Kalman Filter
inferred← citeshttps://doi.org/10.3390/s22031101openalex-snapshot
Research on Minimization of Data Set for State of Charge Prediction
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