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References from State-of-charge estimation of lithium-ion battery: A fusion model combining unidirectional and bidirectional long short-term memory networks and multi-head attention mechanism. Local targets link to admitted publications; unresolved targets remain external evidence.
A comprehensive review of the key technologies for pure electric vehicles
10.1016/j.energy.2019.06.077 · 2019 · External reference
Reviewing the material and metal security of low-carbon energy transitions
2020 · External reference
Long-term electric vehicles outlook and their potential impact on electric grid
10.1016/j.enpol.2019.111103 · 2020 · External reference
An analysis of China's energy policy from 1981 to 2020: transitioning towards to a diversified and low-carbon energy system
10.1016/j.enpol.2022.112806 · 2022 · External reference
A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system
10.1016/j.est.2022.104124 · 2022 · External reference
A review of lithium-ion battery thermal runaway modeling and diagnosis approaches
10.3390/pr10061192 · 2022 · External reference
State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
2023 · External reference
A review of battery energy storage systems and advanced battery management system for different applications: challenges and recommendations
10.1016/j.est.2024.111179 · 2024 · External reference
A comprehensive review of battery state of charge estimation techniques
2022 · External reference
Open-circuit voltage models for battery management systems: a review
10.3390/en15186803 · 2022 · External reference
Advances in batteries, battery modeling, battery management system, battery thermal management, SOC, SOH, and charge/discharge characteristics in EV applications
10.1109/access.2023.3318121 · 2023 · External reference
Electrochemical impedance correlation analysis for the estimation of Li-ion battery state of charge, state of health and internal temperature
10.1016/j.est.2022.104608 · 2022 · External reference
A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter
10.1016/j.apenergy.2016.12.133 · 2017 · External reference
Lithium-ion battery parameters and state-of-charge joint estimation based on H-infinity and unscented Kalman filters
10.1109/tvt.2017.2709326 · 2017 · External reference
State of charge estimation for lithium-ion battery based on an intelligent adaptive extended Kalman filter with improved noise estimator
10.1016/j.energy.2020.119025 · 2021 · External reference
Capacity estimation of lithium-ion cells by combining model-based and data-driven methods based on a sequential extended Kalman filter
10.1016/j.energy.2020.119233 · 2021 · External reference
State-of-charge estimation of lithium ion batteries based on adaptive iterative extended Kalman filter
10.1016/j.est.2021.102593 · 2021 · External reference
Exploiting artificial neural networks for the state of charge estimation in ev/hv battery systems: a review
10.3390/batteries11030107 · 2025 · External reference
Machine learning of materials design and state prediction for lithium ion batteries
10.1016/j.cjche.2021.04.009 · 2021 · External reference
Review of battery state estimation methods for electric vehicles-part I: SOC estimation
10.1016/j.est.2024.111435 · 2024 · External reference
Electrical lithium-ion battery models based on recurrent neural networks: a holistic approach
10.1016/j.est.2022.106461 · 2023 · External reference
Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons
2021 · External reference
SOC estimation for lithium-ion batteries based on BiGRU with SE attention and Savitzky-Golay filter
10.1016/j.est.2024.111930 · 2024 · External reference
Transfer learning-based state of charge and state of health estimation for Li-ion batteries: a review
10.1109/tte.2023.3293551 · 2023 · External reference
SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture
10.1016/j.energy.2022.124612 · 2022 · External reference
Intelligent algorithms and control strategies for battery management system in electric vehicles: progress, challenges and future outlook
10.1016/j.jclepro.2021.126044 · 2021 · External reference
Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation
10.1016/j.energy.2025.136598 · 2025 · External reference
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries
10.1016/j.ress.2022.108920 · 2023 · External reference
Improved multiple feature-electrochemical thermal coupling modeling of lithium-ion batteries at low-temperature with real-time coefficient correction
10.23919/pcmp.2023.000257 · 2024 · External reference
A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries
10.1016/j.est.2024.111524 · 2024 · External reference
LG 18650HG2 Li-ion battery data and example deep neural network xEV SOC estimator script
2020 · External reference
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
10.1016/j.apenergy.2013.07.008 · 2014 · External reference
Li-ion batteries state-of-charge estimation using deep LSTM at various battery specifications and discharge cycles
10.1145/3462203.3475878 · 2021 · External reference
An LSTM-SA model for SOC estimation of lithium-ion batteries under various temperatures and aging levels
10.1016/j.est.2024.110906 · 2024 · External reference
State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
10.1016/j.apenergy.2013.07.008 · ExternalCitation · doi-reference
A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter
10.1016/j.apenergy.2016.12.133 · ExternalCitation · doi-reference
Machine learning of materials design and state prediction for lithium ion batteries
10.1016/j.cjche.2021.04.009 · ExternalCitation · doi-reference
A comprehensive review of the key technologies for pure electric vehicles
10.1016/j.energy.2019.06.077 · ExternalCitation · doi-reference
State of charge estimation for lithium-ion battery based on an intelligent adaptive extended Kalman filter with improved noise estimator
10.1016/j.energy.2020.119025 · ExternalCitation · doi-reference
Capacity estimation of lithium-ion cells by combining model-based and data-driven methods based on a sequential extended Kalman filter
10.1016/j.energy.2020.119233 · ExternalCitation · doi-reference
SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture
10.1016/j.energy.2022.124612 · ExternalCitation · doi-reference
Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation
10.1016/j.energy.2025.136598 · ExternalCitation · doi-reference
Long-term electric vehicles outlook and their potential impact on electric grid
10.1016/j.enpol.2019.111103 · ExternalCitation · doi-reference
An analysis of China's energy policy from 1981 to 2020: transitioning towards to a diversified and low-carbon energy system
10.1016/j.enpol.2022.112806 · ExternalCitation · doi-reference
State-of-charge estimation of lithium ion batteries based on adaptive iterative extended Kalman filter
10.1016/j.est.2021.102593 · ExternalCitation · doi-reference
A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system
10.1016/j.est.2022.104124 · ExternalCitation · doi-reference
Electrochemical impedance correlation analysis for the estimation of Li-ion battery state of charge, state of health and internal temperature
10.1016/j.est.2022.104608 · ExternalCitation · doi-reference
Electrical lithium-ion battery models based on recurrent neural networks: a holistic approach
10.1016/j.est.2022.106461 · ExternalCitation · doi-reference
An LSTM-SA model for SOC estimation of lithium-ion batteries under various temperatures and aging levels
10.1016/j.est.2024.110906 · ExternalCitation · doi-reference
A review of battery energy storage systems and advanced battery management system for different applications: challenges and recommendations
10.1016/j.est.2024.111179 · ExternalCitation · doi-reference
Review of battery state estimation methods for electric vehicles-part I: SOC estimation
10.1016/j.est.2024.111435 · ExternalCitation · doi-reference
A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries
10.1016/j.est.2024.111524 · ExternalCitation · doi-reference
SOC estimation for lithium-ion batteries based on BiGRU with SE attention and Savitzky-Golay filter
10.1016/j.est.2024.111930 · ExternalCitation · doi-reference
Intelligent algorithms and control strategies for battery management system in electric vehicles: progress, challenges and future outlook
10.1016/j.jclepro.2021.126044 · ExternalCitation · doi-reference
Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries
10.1016/j.ress.2022.108920 · ExternalCitation · doi-reference
Advances in batteries, battery modeling, battery management system, battery thermal management, SOC, SOH, and charge/discharge characteristics in EV applications
10.1109/access.2023.3318121 · ExternalCitation · doi-reference
Transfer learning-based state of charge and state of health estimation for Li-ion batteries: a review
10.1109/tte.2023.3293551 · ExternalCitation · doi-reference
Lithium-ion battery parameters and state-of-charge joint estimation based on H-infinity and unscented Kalman filters
10.1109/tvt.2017.2709326 · ExternalCitation · doi-reference
Li-ion batteries state-of-charge estimation using deep LSTM at various battery specifications and discharge cycles
10.1145/3462203.3475878 · ExternalCitation · doi-reference
Improved multiple feature-electrochemical thermal coupling modeling of lithium-ion batteries at low-temperature with real-time coefficient correction
10.23919/pcmp.2023.000257 · ExternalCitation · doi-reference
Exploiting artificial neural networks for the state of charge estimation in ev/hv battery systems: a review
10.3390/batteries11030107 · ExternalCitation · doi-reference
Open-circuit voltage models for battery management systems: a review
10.3390/en15186803 · ExternalCitation · doi-reference
A review of lithium-ion battery thermal runaway modeling and diagnosis approaches
10.3390/pr10061192 · ExternalCitation · doi-reference
