Predictive Modeling for Electric Vehicle Battery State of Health: A Comprehensive Literature Review by Jianqiang Gong, Bin Xu, Fanghua Chen, Gang Zhou

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A Novel Procedure for Real-Time SOH Estimation of EV Battery Packs Based on Time Series Extrinsic Regression by Raimondo Gallo, Tommaso Monopoli, Marco Zampolli, Remi Jacques Philibert Jaboeuf, Paolo Tosco, Edoardo Patti, Alessandro Aliberti

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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

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Acoustic Emission Technique for Battery Health Monitoring: Comprehensive Literature Review by Eliška Sedláčková, Anna Pražanová, Zbyněk Plachý, Nikola Klusoňová, Vaclav Knap, Karel Dušek

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Advantages of alginate and PPI combination in relief of heartburn and regurgitation during the first days of treatment of gastroesophageal reflux disease by D. S. Bordin, O. B. Yanova, O. I. Berezina, Ye. V. Treyman

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A Novel Federated & Ensembled Learning-Based Battery State-of-Health Estimation for Connected Electric Vehicles by Praveen Abbaraju, Subrata Kumar Kundu

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A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm by Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu

Subjects: “…State of health…”
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Optimizing fast charging protocols for lithium-ion batteries using reinforcement learning: Balancing speed, efficiency, and longevity by Khairy Sayed, Mahmoud Aref, Mishari Metab Almalki, Mahmoud A. Mossa

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Data on battery health and performance: Analysing Samsung INR21700-50E cells with advanced feature engineering by Sahar Qaadan, Aiman Alshare, Alexander Popp, Myrel Tiemann, Utz Spaeth, Benedikt Schmuelling

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DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention by Zheng Chen, Quan Qian

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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

Subjects: “…lithium-ion battery state of health…”
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State of Charge and State of Health Estimation in Electric Vehicles: Challenges, Approaches and Future Directions by Babatunde D. Soyoye, Indranil Bhattacharya, Mary Vinolisha Anthony Dhason, Trapa Banik

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State of Health Estimation of Li-Ion Batteries Based on Differential Thermal Voltammetry and Gaussian Process Regression by ZHU Haoran, CHEN Ziqiang, YANG Deqing

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Lithium Battery Life Prediction for Electric Vehicles Using Enhanced TCN and SVN Quantile Regression by Xinyue Li, Jiangwei Chu

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Advanced Online State-of-Health Prediction and Monitoring of Na-Ion Battery for Electric Vehicles Application by D. Pelosi, L. Trombetti, F. Gallorini, P. A. Ottaviano, L. Barelli

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Early prediction of Li-ion cell failure from EIS derived from current–voltage time series by M T Wilson, V Farrow, C J Dunn, L Cowie, M J Cree, J Bjerkan, A Stefanovska, J B Scott

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Investigation of the Suitability of the DTV Method for the Online SoH Estimation of NMC Lithium-Ion Cells in Battery Management Systems by Jan Neunzling, Philipp Hainke, Hanno Winter, David Henriques, Matthias Fleckenstein, Torsten Markus

Subjects: “…State of Health (SoH)…”
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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models by Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin

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Lithium-Ion Battery State of Health Degradation Prediction Using Deep Learning Approaches by Talal Alharbi, Muhammad Umair, Abdulelah Alharbi

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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

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