Research graph
References from A data-driven Kalman filter–integrated deep learning framework for optimized fault detection in lithium-ion batteries. Local targets link to admitted publications; unresolved targets remain external evidence.
Advanced data-driven fault diagnosis in lithium-ion battery management systems for electric vehicles: progress, challenges, and future perspectives
10.1016/j.etran.2024.100374 · 2024 · External reference
Modeling, state of charge estimation, and charging of lithium-ion battery in electric vehicle: a review
10.1002/er.7339 · 2022 · External reference
Optimised state of charge estimation for battery using ML Technique
2025 · External reference
Recent developments and challenges in state-of-charge estimation techniques for electric vehicle batteries: A review
10.1016/j.est.2024.113623 · 2024 · External reference
XTM: a novel transformer and LSTM-based model for detection and localization of formally verified FDI Attack in Smart Grid
10.3390/electronics12040797 · 2023 · External reference
Improved fault detection and identification for nonlinear hybrid systems using self switched CDKF
2015 · External reference
10.1007/978-981-15-2256-7_63
10.1007/978-981-15-2256-7_63 · External reference
Fault detection for a nonlinear switched continuous time delayed system using machine learning and self-switched UKF
2022 · External reference
Fault detection of a Li-ion battery using SVM based machine learning and unscented Kalman filter
10.1016/j.matpr.2022.10.279 · 2023 · External reference
Battery state-of-health estimation using CNNs with transfer learning and multi-modal fusion of partial voltage profiles and histogram data
10.1016/j.apenergy.2025.125923 · 2025 · External reference
Miniaturized buried low-frequency acoustically actuated magnetoelectric antenna for soil moisture adaptive underground communication
10.1016/j.isci.2024.111151 · 2024 · External reference
Two-stage exogenous Kalman filter for time-varying fault estimation of satellite attitude control system
10.1016/j.jfranklin.2019.11.078 · 2020 · External reference
Fault detection for lithium-ion battery using smooth variable structure filters
10.1109/access.2024.3482193 · 2024 · External reference
Combining FDI and AI approaches within causal-model-based diagnosis
10.1109/tsmcb.2004.833335 · 2004 · External reference
Transformer-based deep learning strategies for lithium-ion batteries SOX estimation using regular and inverted embedding
10.1109/access.2024.3495560 · 2024 · External reference
Roadmap for a sustainable circular economy in lithium-ion and future battery technologies
10.1088/2515-7655/acaa57 · 2023 · External reference
Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: a comparative analysis
10.1016/j.est.2022.104174 · 2022 · External reference
State of charge estimation for lithium-ion batteries based on battery model and data-driven fusion method
10.1016/j.energy.2023.130056 · 2024 · External reference
SoC estimation of lithium-ion batteries based on machine learning techniques: a filtered approach
10.1016/j.est.2023.108268 · 2023 · External reference
Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects
10.1016/j.est.2025.116002 · 2025 · External reference
Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm
10.1016/j.etran.2022.100156 · 2022 · External reference
Deep learning for state of health estimation of lithium-ion batteries in electric vehicles: a systematic review
10.3390/en18061463 · 2025 · External reference
An extended Kalman filter based data-driven method for state of charge estimation of Li-ion batteries
10.1016/j.est.2021.102655 · 2021 · External reference
Comparative analysis of state of charge estimation methods for Li-ion batteries using kalman filter variants and machine learning techniques for electric vehicle applications
10.1109/access.2025.3619600 · 2025 · External reference
10.1016/j.egyai.2021.100089 · 2021 · Admitted local publication
A review on the recent advances in battery development and energy storage technologies
10.1155/2024/2329261 · 2024 · External reference
A review on the distribution of relaxation times analysis: a powerful tool for process identification of electrochemical systems
10.1016/j.jpowsour.2023.233845 · 2024 · External reference
Closed-loop state of charge estimation of Li-ion batteries based on deep learning and robust adaptive Kalman filter
10.1016/j.energy.2024.132805 · 2024 · External reference
Insights and reviews on battery lifetime prediction from research to practice
10.1016/j.jechem.2024.03.013 · 2024 · External reference
Ten major challenges for sustainable lithium-ion batteries
2024 · External reference
Fault mitigation and diagnosis for lithium-ion batteries: a review
10.3389/fenrg.2025.1529608 · 2025 · External reference
A review on second-life of Li-ion batteries: prospects, challenges, and issues
10.1016/j.energy.2021.122881 · 2022 · External reference
Spatial-temporal self-attention transformer networks for battery state of charge estimation
10.3390/electronics12122598 · 2023 · External reference
State of charge estimation of lithium batteries: review for equivalent circuit model methods
10.1016/j.measurement.2024.115148 · 2024 · External reference
Investigations on using intelligent learning techniques for anomaly detection and diagnosis in sensors signals in Li-ion battery—case study
10.3390/inventions8030074 · 2023 · External reference
An innovative square root-untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries
10.1016/j.est.2024.114555 · 2024 · External reference
Review on improved neural network algorithms for battery state of energy estimation in smart grids
2025 · External reference
Improved multiple feature-electrochemical thermal coupling modeling of lithium-ion batteries at low-temperature with real-time coefficient correction
2024 · External reference
Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence
2025 · 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
Fault diagnosis of lithium-ion battery sensors based on multi-method fusion
10.1016/j.est.2024.110969 · 2024 · External reference
A novel approach for state of health estimation and remaining useful life prediction of supercapacitors using an improved honey badger algorithm assisted hybrid neural network
10.23919/pcmp.2023.000187 · 2024 · External reference
Comparison of different machine learning algorithms to estimate liquid level for bioreactor management
10.4491/eer.2022.037 · 2022 · External reference
State estimation of lithium-ion batteries via physics-machine learning combined methods: A methodological review and future perspectives
10.1016/j.etran.2025.100420 · 2025 · External reference
Battery safety: Fault diagnosis from laboratory to real world
10.1016/j.jpowsour.2024.234111 · 2024 · External reference
Artificial intelligence-driven real-world battery diagnostics
10.1016/j.egyai.2024.100419 · 2024 · External reference
Predictive pretrained transformer (PPT) for real-time battery health diagnostics
10.1016/j.apenergy.2024.124746 · 2025 · External reference
Specialized convolutional transformer networks for estimating battery health via transfer learning
2024 · External reference
