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A real time state of charge estimation using Harris Hawks optimization‐based filtering approach for electric vehicle power batteries

https://doi.org/10.1002/er.7806
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/er.3705openalex-snapshot
A new state-of-charge estimation method for electric vehicle lithium-ion batteries based on multiple input parameter fitting model
inferredcites →https://doi.org/10.1002/er.5435openalex-snapshot
An enhanced temperature‐dependent model and state‐of‐charge estimation for a Li‐Ion battery using extended Kalman filter
inferredcites →https://doi.org/10.1002/er.6088openalex-snapshot
Online parameters identification and state of charge estimation for lithium‐ion batteries using improved adaptive dual unscented Kalman filter
inferredcites →https://doi.org/10.1002/er.6265openalex-snapshot
State of charge estimation of a Li‐ion battery based on extended Kalman filtering and sensor bias
inferredcites →https://doi.org/10.1002/er.6658openalex-snapshot
Joint estimation of state of charge and state of health for lithium‐ion battery based on dual adaptive extended Kalman filter
inferredcites →https://doi.org/10.1002/er.7339openalex-snapshot
Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: A review
inferredcites →https://doi.org/10.1007/s00521-021-05720-5openalex-snapshot
Harris hawks optimization: a comprehensive review of recent variants and applications
inferredcites →https://doi.org/10.1007/s13369-019-03991-8openalex-snapshot
On Stability Analysis of Particle Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.apenergy.2013.07.008openalex-snapshot
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
inferredcites →https://doi.org/10.1016/j.apm.2019.09.011openalex-snapshot
State of charge estimation for lithium-ion batteries based on adaptive dual Kalman filter
inferredcites →https://doi.org/10.1016/j.egypro.2017.03.774openalex-snapshot
The Estimation of State of Charge for Power Battery Packs used in Hybrid Electric Vehicle
inferredcites →https://doi.org/10.1016/j.egypro.2019.01.765openalex-snapshot
State of charge and model parameters estimation of liquid metal batteries based on adaptive unscented Kalman filter
inferredcites →https://doi.org/10.1016/j.electacta.2020.136576openalex-snapshot
Improved parameters identification and state of charge estimation for lithium-ion battery with real-time optimal forgetting factor
inferredcites →https://doi.org/10.1016/j.energy.2020.118262openalex-snapshot
An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation
inferredcites →https://doi.org/10.1016/j.est.2016.10.004openalex-snapshot
A comparative study and review of different Kalman filters by applying an enhanced validation method
inferredcites →https://doi.org/10.1016/j.est.2019.100822openalex-snapshot
Comparative study of ANN/KF for on-board SOC estimation for vehicular applications
inferredcites →https://doi.org/10.1016/j.est.2021.102351openalex-snapshot
Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic loads
inferredcites →https://doi.org/10.1016/j.eswa.2020.114529openalex-snapshot
Memetic Harris Hawks Optimization: Developments and perspectives on project scheduling and QoS-aware web service composition
inferredcites →https://doi.org/10.1016/j.future.2019.02.028openalex-snapshot
Harris hawks optimization: Algorithm and applications
inferredcites →https://doi.org/10.1016/j.jpowsour.2004.02.033openalex-snapshot
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
inferredcites →https://doi.org/10.1016/j.jpowsour.2018.04.101openalex-snapshot
An adaptive state of charge estimation approach for lithium-ion series-connected battery system
inferredcites →https://doi.org/10.1016/j.jpowsour.2020.227700openalex-snapshot
Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method
inferredcites →https://doi.org/10.1016/j.jpowsour.2020.228051openalex-snapshot
A GRU-RNN based momentum optimized algorithm for SOC estimation
inferredcites →https://doi.org/10.1016/j.rser.2017.05.001openalex-snapshot
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
inferredcites →https://doi.org/10.1016/j.rser.2019.06.040openalex-snapshot
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
inferredcites →https://doi.org/10.1109/access.2017.2725301openalex-snapshot
State of Charge Estimation of Battery Energy Storage Systems Based on Adaptive Unscented Kalman Filter With a Noise Statistics Estimator
inferredcites →https://doi.org/10.1109/access.2020.3029728openalex-snapshot
An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field
inferredcites →https://doi.org/10.1109/tec.2006.874229openalex-snapshot
Accurate electrical battery model capable of predicting runtime and I-V performance
inferredcites →https://doi.org/10.1109/tevc.2007.896686openalex-snapshot
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
inferredcites →https://doi.org/10.1109/tie.2018.2880668openalex-snapshot
A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model
inferredcites →https://doi.org/10.1109/tvt.2017.2728806openalex-snapshot
Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications
inferredcites →https://doi.org/10.1109/tvt.2021.3051655openalex-snapshot
Combined State of Charge and State of Energy Estimation of Lithium-Ion Battery Using Dual Forgetting Factor-Based Adaptive Extended Kalman Filter for Electric Vehicle Applications
inferredcites →https://doi.org/10.17632/wykht8y7tg.1openalex-snapshot
Panasonic 18650PF Li-ion Battery Data
inferredcites →https://doi.org/10.17862/cranfield.rd.3545847openalex-snapshot
Accuracy versus Simplicity in Online Battery Model Identification
inferredcites →https://doi.org/10.20964/2020.02.34openalex-snapshot
Joint Estimation of Ternary Lithium-ion Battery State of Charge and State of Power Based on Dual Polarization Model
inferredcites →https://doi.org/10.3390/en11071820openalex-snapshot
State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles
inferredcites →https://doi.org/10.3390/en8065916openalex-snapshot
State of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter
inferredcites →https://doi.org/10.6113/jpe.2018.18.3.910openalex-snapshot
Enhanced Coulomb Counting Method for State-of-Charge Estimation of Lithium-ion Batteries based on Peukert’s Law and Coulombic Efficiency

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4753914openalex-extracted
Lithium Battery SOC Estimation Based on Improved Vffrls-Aekf
inferred← citeshttps://doi.org/10.1007/s10098-024-03068-7openalex-snapshot
Research on dispatchable potential calculation and energy joint optimization of electric vehicle clusters under the background of carbon neutralization
inferred← citeshttps://doi.org/10.1007/s10800-024-02217-6openalex-snapshot
A comprehensive review, perspectives and future directions of battery characterization and parameter estimation
inferred← citeshttps://doi.org/10.1007/s13369-023-08313-7openalex-snapshot
Stability Analysis of a Multi-area Renewable System and Frequency Control with Improved Chaotic Harris Hawk Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/s40998-023-00676-9openalex-snapshot
Performance Analysis of Simplified Seven-Level Inverter using Hybrid HHO-PSO Algorithm for Renewable Energy Applications
inferred← citeshttps://doi.org/10.1016/b978-0-443-16160-5.00014-7openalex-snapshot
Construction of state of charge estimation method for automotive ternary batteries
inferred← citeshttps://doi.org/10.1016/j.est.2023.110385openalex-snapshot
Perspective study on charge time measurement of long-term stored lithium-ion batteries used in electric-powered aircraft assessed and modelled by specific growth model with diffusion process backup
inferred← citeshttps://doi.org/10.1016/j.est.2024.111552openalex-snapshot
An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles
inferred← citeshttps://doi.org/10.1016/j.est.2024.113392openalex-snapshot
Lithium battery state of charge estimation based on improved variable forgetting factor recursive least squares method and adaptive Kalman filter joint algorithm
inferred← citeshttps://doi.org/10.1016/j.est.2026.124115openalex-snapshot
Real-time state estimation of electric vehicle batteries using secretary bird optimization based unscented Kalman filter
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.235893openalex-snapshot
Advanced integration of bidirectional long short-term memory neural networks and innovative extended Kalman filter for state of charge estimation of lithium-ion battery
inferred← citeshttps://doi.org/10.1063/5.0209444openalex-snapshot
Real time prediction algorithm for SOC of lithium ion power battery under high pulse rate
inferred← citeshttps://doi.org/10.1109/ictei60496.2023.00107openalex-snapshot
Optimization Model of Information System Network Structure Based on Artificial Fish Swarm Algorithm
inferred← citeshttps://doi.org/10.1149/1945-7111/acaa5bopenalex-snapshot
Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Improved Artificial Fish Swarms Forgetting Factor Least Squares and Differential Evolution Extended Kalman Filter
inferred← citeshttps://doi.org/10.1149/1945-7111/acd303openalex-snapshot
High-Precision State of Charge Estimation of Urban-Road-Condition Lithium-Ion Batteries Based on Optimized High-Order Term Compensation-Adaptive Extended Kalman Filtering
inferred← citeshttps://doi.org/10.1149/1945-7111/acd815openalex-snapshot
High-precision State of Charge Estimation of Lithium-ion Batteries Based on Joint Compression Factor Particle Swarm Optimization-Forgetting Factor Recursive Least Square-Adaptive Extended Kalman Filtering
inferred← citeshttps://doi.org/10.1177/01445987251361943openalex-snapshot
Impact analysis of nonlinear Kalman Filter parameters on state of charge estimation for electric vehicle batteries
inferred← citeshttps://doi.org/10.1177/09544070251389156openalex-snapshot
A hybrid power source and its control strategy optimization for low-speed electric vehicle
inferred← citeshttps://doi.org/10.1371/journal.pone.0311177openalex-snapshot
Arithmetic optimization based MPPT for photovoltaic systems operating under nonuniform situations
inferred← citeshttps://doi.org/10.61091/jcmcc119-14openalex-snapshot
Stochastic Optimization-Based Comparative Study of New Energy Vehicles’ Noise Characteristics
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