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References from Reproducibility of battery state of health estimation using short discharge tests across independent experimental platforms. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Hidden effects and externalities of electric vehicles
10.1016/j.enpol.2024.114335 · 2024 · External reference
Evaluating Norway’s electric vehicle incentives
10.1016/j.eneco.2025.108490 · 2025 · External reference
Electric vehicle adoption and planning: the increasing importance of the built environment
10.1016/j.jtrangeo.2025.104115 · 2025 · External reference
Second life and recycling of lithium-ion batteries
2015 · External reference
Extending the electric vehicle battery first life: performance beyond the current end of life threshold
10.1016/j.heliyon.2024.e26066 · 2024 · External reference
End-of-life or second-life options for retired electric vehicle batteries
2021 · External reference
Procedure for assessing the suitability of battery second life applications after EV first life
10.3390/batteries8090122 · 2022 · External reference
Development of cell selection framework for second-life cells with homogeneous properties
10.1016/j.ijepes.2018.08.015 · 2019 · External reference
Sorting, regrouping, and echelon utilization of the large-scale retired lithium batteries: a critical review
10.1016/j.rser.2021.111162 · 2021 · External reference
Advanced diagnostics to evaluate heterogeneity in lithium-ion battery modules
10.1016/j.etran.2020.100045 · 2020 · External reference
Challenges of second-life concepts for retired electric vehicle batteries
2022 · External reference
Towards a smarter battery management system: a critical review on battery state of health monitoring methods
10.1016/j.jpowsour.2018.10.019 · 2018 · External reference
Data-driven battery state of health estimation based on random partial charging data
10.1109/tpel.2021.3134701 · 2022 · External reference
Rapid and flexible battery capacity estimation using random short-time charging segments based on residual convolutional networks
10.1016/j.apenergy.2023.121925 · 2023 · External reference
Refined lithium-ion battery state of health estimation with charging segment adjustment
10.1016/j.apenergy.2024.124077 · 2024 · External reference
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
2022 · External reference
State of health estimation of lithium-ion batteries using autoencoders and ensemble learning
10.1016/j.est.2022.105708 · 2022 · External reference
Transfer state of health estimation based on cross-manifold embedding
10.1016/j.est.2021.103555 · 2022 · External reference
Performance metrics for the comparison of lithium ion cell aging experiments
10.1016/j.enrev.2023.100025 · 2023 · External reference
Quantifiability of inherent cell-to-cell variations of commercial lithium-ion batteries
10.1016/j.etran.2021.100129 · 2021 · External reference
Cell-to-cell variation beyond parameter analysis-identification and correlation of processes in lithium-ion batteries using a combined distribution of relaxation times analysis
10.1016/j.jpowsour.2023.233677 · 2023 · External reference
Rapid estimation of static capacity based on machine learning: a time-efficient approach
10.3390/batteries10060191 · 2024 · External reference
Enabling practicality of sustainable EV battery reuse
2026 · External reference
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
10.1016/j.apenergy.2020.115074 · 2020 · External reference
Characterization of aging mechanisms and state of health for second-life 21700 ternary lithium-ion battery
10.1016/j.est.2022.105511 · 2022 · External reference
State of health and remaining useful life prediction of lithium-ion batteries based on a disturbance-free incremental capacity and differential voltage analysis method
10.1016/j.est.2023.107161 · 2023 · External reference
State of health estimation for lithium-ion batteries based on voltage segment and transformer
10.1016/j.est.2024.115200 · 2025 · External reference
Selecting the appropriate features in battery lifetime predictions
10.1016/j.joule.2023.07.021 · 2023 · External reference
Lithium-ion battery data: from production to prediction
10.3390/batteries9070385 · 2023 · External reference
Age-related development of cell-to-cell variation under various operating conditions in commercial NMC/graphite lithium-ion cells
10.1016/j.est.2024.113787 · 2024 · External reference
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
10.1016/j.apenergy.2020.115074 · ExternalCitation · doi-reference
Rapid and flexible battery capacity estimation using random short-time charging segments based on residual convolutional networks
10.1016/j.apenergy.2023.121925 · ExternalCitation · doi-reference
Refined lithium-ion battery state of health estimation with charging segment adjustment
10.1016/j.apenergy.2024.124077 · ExternalCitation · doi-reference
Evaluating Norway’s electric vehicle incentives
10.1016/j.eneco.2025.108490 · ExternalCitation · doi-reference
Hidden effects and externalities of electric vehicles
10.1016/j.enpol.2024.114335 · ExternalCitation · doi-reference
Performance metrics for the comparison of lithium ion cell aging experiments
10.1016/j.enrev.2023.100025 · ExternalCitation · doi-reference
Transfer state of health estimation based on cross-manifold embedding
10.1016/j.est.2021.103555 · ExternalCitation · doi-reference
Characterization of aging mechanisms and state of health for second-life 21700 ternary lithium-ion battery
10.1016/j.est.2022.105511 · ExternalCitation · doi-reference
State of health estimation of lithium-ion batteries using autoencoders and ensemble learning
10.1016/j.est.2022.105708 · ExternalCitation · doi-reference
State of health and remaining useful life prediction of lithium-ion batteries based on a disturbance-free incremental capacity and differential voltage analysis method
10.1016/j.est.2023.107161 · ExternalCitation · doi-reference
Age-related development of cell-to-cell variation under various operating conditions in commercial NMC/graphite lithium-ion cells
10.1016/j.est.2024.113787 · ExternalCitation · doi-reference
State of health estimation for lithium-ion batteries based on voltage segment and transformer
10.1016/j.est.2024.115200 · ExternalCitation · doi-reference
Advanced diagnostics to evaluate heterogeneity in lithium-ion battery modules
10.1016/j.etran.2020.100045 · ExternalCitation · doi-reference
Quantifiability of inherent cell-to-cell variations of commercial lithium-ion batteries
10.1016/j.etran.2021.100129 · ExternalCitation · doi-reference
Extending the electric vehicle battery first life: performance beyond the current end of life threshold
10.1016/j.heliyon.2024.e26066 · ExternalCitation · doi-reference
Development of cell selection framework for second-life cells with homogeneous properties
10.1016/j.ijepes.2018.08.015 · ExternalCitation · doi-reference
Selecting the appropriate features in battery lifetime predictions
10.1016/j.joule.2023.07.021 · ExternalCitation · doi-reference
Towards a smarter battery management system: a critical review on battery state of health monitoring methods
10.1016/j.jpowsour.2018.10.019 · ExternalCitation · doi-reference
Cell-to-cell variation beyond parameter analysis-identification and correlation of processes in lithium-ion batteries using a combined distribution of relaxation times analysis
10.1016/j.jpowsour.2023.233677 · ExternalCitation · doi-reference
Electric vehicle adoption and planning: the increasing importance of the built environment
10.1016/j.jtrangeo.2025.104115 · ExternalCitation · doi-reference
Sorting, regrouping, and echelon utilization of the large-scale retired lithium batteries: a critical review
10.1016/j.rser.2021.111162 · ExternalCitation · doi-reference
Data-driven battery state of health estimation based on random partial charging data
10.1109/tpel.2021.3134701 · ExternalCitation · doi-reference
Rapid estimation of static capacity based on machine learning: a time-efficient approach
10.3390/batteries10060191 · ExternalCitation · doi-reference
Procedure for assessing the suitability of battery second life applications after EV first life
10.3390/batteries8090122 · ExternalCitation · doi-reference
Lithium-ion battery data: from production to prediction
10.3390/batteries9070385 · ExternalCitation · doi-reference
