Abstract
Mingqiang Lin, Songjie Zhu, Ji Wu, Jinhao Meng, Fusen Guo, Huadong Mo
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
A general framework for lithium-ion battery state of health estimation: from laboratory tests to machine learning with transferability across domains
10.1016/j.apenergy.2024.125086 · 2025
Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life
10.1016/j.apenergy.2023.121043 · 2023
Offline equalization control of modular multilevel converter-based battery energy storage system
10.1109/tie.2023.3331145 · 2023
A comprehensive review on the characteristics and modeling of lithium-ion battery aging
10.1109/tte.2021.3138357 · 2021
Impact of various current rates on lithium-ion battery under slight overdischarge cycling
10.1016/j.est.2025.118438 · 2025
Sensitivities of lithium-ion batteries with different capacities to overcharge/over-discharge
10.1016/j.est.2022.104997 · 2022
Degradation of battery separators under charge–discharge cycles
10.1039/c7ra11585g · 2017
Overdischarge and aging analytics of Li-ion cells
2020
XPS study of the interface evolution of carbonaceous electrodes for Li-O2 batteries during the 1st cycle
Provenance
crossref
Confidence 100%
ror
Confidence 99%
openalex
Confidence 95%
datacite
Confidence 0%
10.1149/2.0351613jes · 2016
Main ageing mechanism of SiOx-graphite anodes during fast charging in the absence of lithium deposition
10.1149/1945-7111/adf015 · 2025
Electrochemo-mechanical degradation and failure of active particles in high energy density batteries: a review
10.1002/smll.202407740 · 2025
Electro-chemo-mechanical degradation in solid-state batteries: a review of microscale and multiphysics modeling
10.1002/aenm.202403255 · 2024
Unresolved referenced work
1996
Battery depth-of-discharge optimization for maximized return in electricity markets
10.11159/icert24.110 · 2024
Long-term stable operation control method of dual-battery energy storage system for smoothing wind power fluctuations
10.1016/j.ijepes.2021.106878 · 2021
Battery aging assessment for real-world electric buses based on incremental capacity analysis and radial basis function neural network
10.1109/tii.2019.2951843 · 2020
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
Constant current charging time based fast state-of-health estimation for lithium-ion batteries
10.1016/j.energy.2022.123556 · 2022
A two-stage estimation strategy based on a multistate model for state-of-health of lithium-ion batteries
10.1109/tte.2024.3373513 · 2024
Transfer learning-based lithium-ion battery state of health estimation with electrochemical impedance spectroscopy
10.1109/tte.2025.3533540 · 2025
Lithium-ion battery state-of-health estimation using the incremental capacity analysis technique
10.1109/tia.2019.2955396 · 2020
A sparse SOH estimation framework based on clustered voltage segments and multi-head CNN under arbitrary charging condition
10.1016/j.energy.2026.140057 · 2026
Lithium ion battery degradation: what you need to know
10.1039/d1cp00359c · 2021
Detection of the knee point in lithium-ion battery degradation using a state-of-charge-dependent parameter
10.1073/pnas.2424838122 · 2025
Operando optical tracking of single-particle ion dynamics in batteries
10.1038/s41586-021-03584-2 · 2021
State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis
10.1016/j.est.2022.104560 · 2022
In situ detection of lithium-ion batteries by ultrasonic technologies
2023
Identifying ultrasonic scattering from multi-layered lithium-ion battery cells: mechanical modeling and experimental validation
10.1016/j.est.2024.112077 · 2024
Prediction of the internal structure of a lithium-ion battery using a single ultrasound wave response
10.1016/j.est.2023.108778 · 2023
An ultrasonic reflected wave-based method for estimating state of charge of hard-shell lithium-ion batteries
2024
A state of charge estimation method of lithium-ion batteries using ultrasonic multifeature stacking models
10.1109/tie.2025.3579061 · 2025
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures
10.1016/j.egyai.2022.100188 · 2022
State estimation of a lithium-ion battery based on multi-feature indicators of ultrasonic guided waves
10.1016/j.est.2022.106113 · 2022
Artificial intelligence-based open-circuit fault diagnosis for power electronic converters: recent advances and future prospects
2025
Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life
10.1016/j.apenergy.2023.121043 · 2023
Concurrent time-series selections using deep learning and dimension reduction
10.1016/j.knosys.2021.107507 · 2021
Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning
10.1016/j.ress.2022.108886 · 2023
Unlocking the power of LSTM for long-term time series forecasting
2025
Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning
10.1016/j.ress.2022.108886 · doi-reference
Concurrent time-series selections using deep learning and dimension reduction
10.1016/j.knosys.2021.107507 · doi-reference
State estimation of a lithium-ion battery based on multi-feature indicators of ultrasonic guided waves
10.1016/j.est.2022.106113 · doi-reference
Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures
10.1016/j.egyai.2022.100188 · doi-reference
A state of charge estimation method of lithium-ion batteries using ultrasonic multifeature stacking models
10.1109/tie.2025.3579061 · doi-reference
Prediction of the internal structure of a lithium-ion battery using a single ultrasound wave response
10.1016/j.est.2023.108778 · doi-reference
Identifying ultrasonic scattering from multi-layered lithium-ion battery cells: mechanical modeling and experimental validation
10.1016/j.est.2024.112077 · doi-reference
State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis
10.1016/j.est.2022.104560 · doi-reference
Operando optical tracking of single-particle ion dynamics in batteries
10.1038/s41586-021-03584-2 · doi-reference
Detection of the knee point in lithium-ion battery degradation using a state-of-charge-dependent parameter
10.1073/pnas.2424838122 · doi-reference
Lithium ion battery degradation: what you need to know
10.1039/d1cp00359c · doi-reference
A sparse SOH estimation framework based on clustered voltage segments and multi-head CNN under arbitrary charging condition
10.1016/j.energy.2026.140057 · doi-reference
Lithium-ion battery state-of-health estimation using the incremental capacity analysis technique
10.1109/tia.2019.2955396 · doi-reference
Transfer learning-based lithium-ion battery state of health estimation with electrochemical impedance spectroscopy
10.1109/tte.2025.3533540 · doi-reference
A two-stage estimation strategy based on a multistate model for state-of-health of lithium-ion batteries
10.1109/tte.2024.3373513 · doi-reference
Constant current charging time based fast state-of-health estimation for lithium-ion batteries
10.1016/j.energy.2022.123556 · doi-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 · doi-reference
Battery aging assessment for real-world electric buses based on incremental capacity analysis and radial basis function neural network
10.1109/tii.2019.2951843 · doi-reference
Long-term stable operation control method of dual-battery energy storage system for smoothing wind power fluctuations
10.1016/j.ijepes.2021.106878 · doi-reference
Battery depth-of-discharge optimization for maximized return in electricity markets
10.11159/icert24.110 · doi-reference
Electro-chemo-mechanical degradation in solid-state batteries: a review of microscale and multiphysics modeling
10.1002/aenm.202403255 · doi-reference
Electrochemo-mechanical degradation and failure of active particles in high energy density batteries: a review
10.1002/smll.202407740 · doi-reference
Main ageing mechanism of SiOx-graphite anodes during fast charging in the absence of lithium deposition
10.1149/1945-7111/adf015 · doi-reference
XPS study of the interface evolution of carbonaceous electrodes for Li-O2 batteries during the 1st cycle
10.1149/2.0351613jes · doi-reference
Degradation of battery separators under charge–discharge cycles
10.1039/c7ra11585g · doi-reference
Sensitivities of lithium-ion batteries with different capacities to overcharge/over-discharge
10.1016/j.est.2022.104997 · doi-reference
Impact of various current rates on lithium-ion battery under slight overdischarge cycling
10.1016/j.est.2025.118438 · doi-reference
A comprehensive review on the characteristics and modeling of lithium-ion battery aging
10.1109/tte.2021.3138357 · doi-reference
Offline equalization control of modular multilevel converter-based battery energy storage system
10.1109/tie.2023.3331145 · doi-reference
Joint nonlinear-drift-driven Wiener process-Markov chain degradation switching model for adaptive online predicting lithium-ion battery remaining useful life
10.1016/j.apenergy.2023.121043 · doi-reference
A general framework for lithium-ion battery state of health estimation: from laboratory tests to machine learning with transferability across domains
10.1016/j.apenergy.2024.125086 · doi-reference