Research graph
References from Data-driven and feature-sifting based state-of-health estimation for li-ion batteries using KPCA and NRBO-optimized transformer-LSTM hybrid model. Local targets link to admitted publications; unresolved targets remain external evidence.
State-of-health estimation of batteries in an energy storage system based on the actual operating parameters
10.1016/j.jpowsour.2021.230162 · 2021 · External reference
Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives
10.1016/j.rser.2020.110048 · 2020 · External reference
Degradation Behavior of Lithium-Ion Batteries During Calendar Ageing—The Case of the Internal Resistance Increase
10.1109/tia.2017.2756026 · 2018 · External reference
A review of factors affecting the lifespan of lithium-ion battery and its health estimation methods
10.1007/s42341-021-00357-6 · 2021 · External reference
Convolutional Transformer-Based Multiview Information Perception Framework for Lithium-Ion Battery State-of-Health Estimation
10.1109/tim.2023.3300451 · 2023 · External reference
A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization
10.1016/j.energy.2020.117957 · 2020 · External reference
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
10.1016/j.apenergy.2022.119502 · 2022 · External reference
Online Internal Resistance Measurement Application in Lithium Ion Battery Capacity and State of Charge Estimation
10.3390/en11051073 · 2018 · External reference
Estimation of state of health of lithium-ion batteries based on charge transfer resistance considering different temperature and state of charge
10.1016/j.est.2018.11.020 · 2019 · External reference
A new method of modeling and state of charge estimation of the battery
10.1016/j.jpowsour.2016.03.112 · 2016 · External reference
10.1155/2020/6096834
10.1155/2020/6096834 · External reference
State-of-Health Estimation for Lithium-Ion Batteries Based on Decoupled Dynamic Characteristic of Constant-Voltage Charging Current
10.1109/tte.2021.3125932 · 2022 · External reference
An accurate parameters extraction method for a novel on-board battery model considering electrochemical properties
10.1016/j.est.2019.04.019 · 2019 · External reference
State-of-health estimation of lithium-ion batteries for electrified vehicles using a reduced-order electrochemical model
10.1016/j.est.2022.104684 · 2022 · External reference
A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
10.1016/j.apenergy.2018.01.011 · 2018 · External reference
Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
10.1016/j.energy.2021.122815 · 2022 · External reference
A fractional-order electrochemical lithium-ion batteries model considering electrolyte polarization and aging mechanism for state of health estimation
10.1016/j.est.2023.108649 · 2023 · External reference
Identifying the parameters of ultracapacitors based on variable forgetting factor recursive least square
10.1108/compel-01-2024-0022 · 2024 · External reference
State-of-health estimation for lithium-ion batteries by combining model-based incremental capacity analysis with support vector regression
10.1016/j.energy.2021.121986 · 2022 · External reference
State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis
10.1016/j.est.2022.104560 · 2022 · External reference
A novel state of health estimation method for lithium-ion batteries based on constant-voltage charging partial data and convolutional neural network
10.1016/j.energy.2023.129103 · 2023 · External reference
Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh
10.32604/ee.2024.057500 · 2025 · External reference
SOH Estimation of Lithium Batteries Based on ICA and WOA-RBF Algorithm
10.32604/ee.2024.053758 · 2024 · External reference
State of health estimation based on modified Gaussian process regression for lithium-ion batteries
10.1016/j.est.2022.104512 · 2022 · External reference
SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction
10.1016/j.est.2023.109690 · 2024 · External reference
Remaining life prediction of lithium-ion batteries based on health management: A review
10.1016/j.est.2022.106193 · 2023 · External reference
Lithium-Ion Batteries State of Charge Prediction of Electric Vehicles Using RNNs-CNNs Neural Networks
10.1109/access.2020.2996225 · 2020 · External reference
An encoder-decoder model based on deep learning for state of health estimation of lithium-ion battery
10.1016/j.est.2021.103804 · 2022 · External reference
State of Health estimation and Remaining Useful Life prediction for lithium-ion batteries by Improved Particle Swarm Optimization-Back Propagation Neural Network
10.1016/j.est.2022.104750 · 2022 · External reference
Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique
10.1109/tia.2019.2955396 · 2020 · External reference
Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries
10.1016/j.energy.2018.03.023 · 2018 · External reference
Remaining useful life prediction of lithium-ion batteries based on data preprocessing and improved elm
2023 · External reference
