Papers citing Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends
Leveraging Boosting Algorithms for Accurate Battery Life Prediction in Autonomous Robots
Venue not supplied by source · 2024
Vaishnavi V Rao, Kapil G. Ratan, Maitri Bewoor, Rashmi Benni
Read original paper ↗ ·Next-Gen Electric Vehicle Battery Optimization: Enhancing RUL Prediction with Regression-Based Algorithms
Venue not supplied by source · 2024
Aditya Purohit, Abhirama R Adiga, E Tierney Jessica, Rashmi Benni
Read original paper ↗ ·Advancements and Challenges in Lithium-Ion Battery Lifecycle Management Toward a Sustainable Circular Economy for Electric Vehicles
IEEE Open Journal of Power Electronics · 2025
Sureshkumar Alagarsamy, Pradeep Vishnuram, Yuvaraja Shanmugam, T. M. Thamizh Thentral, Radomír Goňo, Miroslava Goňo, Rajamanickam Narayanamoorthi
Read original paper ↗ ·Capacity Correction Enhances Battery Health Diagnosis Accuracy in Data Loss Scenarios for New Energy Vehicles
SSRN Electronic Journal · 2025
Yonghuan Ren, Liang Su, Guangji Song, Weijia Sun
Read original paper ↗ ·A Brief Overview of Modeling Estimation of State of Health for an Electric Vehicle’s Li-Ion Batteries
World Electric Vehicle Journal · 2025
Ehab H.E. Bayoumi, Michele De Santis, Hilmy El-sayed Awad
Read original paper ↗ ·Comparative Analysis of LSTM and Bayesian Neural Networks for Lithium-Ion Battery Capacity Degradation Prediction
International Renewable Energy Congress · 2025
Banawaz Marwa, Hanen Berriri, Med Faouzi Mimouni
Read original paper ↗ ·Carbonaceous Materials as Anodes for Lithium-Ion and Sodium-Ion Batteries
Batteries · 2025
Koorosh Nikgoftar, Anil Kumar Madikere Raghunatha Reddy, M. V. Reddy, Karim Zaghib
Read original paper ↗ ·Utilizing Machine Learning to Predict the Charge Storage Capability of Lithium-Ion Battery Materials
Eurasian Chemico-Technological Journal · 2025
Manoj Chhetri, Karen S. Martirosyan
Read original paper ↗ ·Accelerating Battery Thermal Analysis by Integrating CFD Simulation and Machine Learning Techniques
SAE technical papers on CD-ROM/SAE technical paper series · 2025
G. V. Devarajan, Ganesh Vaidyanathan, Ajinkya Y. Bhave, Ji Liang, Jiao Wang, Wei Zhou, Jijun He, Pengfei Shi
Read original paper ↗ ·A critical review on lithium ion battery modeling, battery management system and thermal runaway issues
Electrical Engineering · 2025
K. Dhananjay Rao, K. Dhananjay Rao, Kuna Dhanunjaya Rao, Kuna Dhanunjaya Rao, P. Pavani, Kapu V. Sri Ram Prasad, Indira Damarla, B. Phaniteja
Read original paper ↗ ·Real Time Capacity Estimation For Lithium-Ion Battery Using Deep Transfer Learning
Venue not supplied by source · 2025
Sk Bittu, Sukanta Halder, Nilanjan Das, Malay Jana
Read original paper ↗ ·Fault Detection for Power Batteries Using a Generative Adversarial Network with a Convolutional Long Short-Term Memory (GAN-CNN-LSTM) Hybrid Model
Applied Sciences · 2025
Shaofan Liu, Tianbao Xie, Yanxin Li, Siyu Liu
Read original paper ↗ ·MoExSOC: A Mixture of Experts Approach for Enhanced Battery State of Charge Estimation
IEEE World AI IoT Congress (AIIoT) · 2025
Itamar P. Ryan, Kundan Nepal
Read original paper ↗ ·Machine learning approach to the possible synergy between co-doped elements in the case of LiFePO4/C
Journal of Alloys and Compounds · 2025
Z. M. S. Elbarbary, Priya A. Hoskeri, Ali Asghar Javidparvar, Mohammed M. Alammar, Amuthakkannan Rajakannu, Theodore Azemtsop Manfo
Read original paper ↗ ·State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective
Advanced Energy Materials · 2025
Adil Saleem, Leon L. Shaw, Zhiqian Chen, Wei Lai
Read original paper ↗ ·Quantum Chemistry-Guided Machine Learning for Accelerated Design of CO 2 -Solubilizing Deep Eutectic Solvents
ACS Sustainable Chemistry & Engineering · 2025
Dingkai Hu, Dezhi Cao, Shijian Lu, Qiang Wang, Bohak Yoon
Read original paper ↗ ·Next-generation battery energy management systems in electric vehicles: An overview of artificial intelligence
Future Batteries · 2025
Nayan Kumar, Prabhansu
Read original paper ↗ ·A Concise Overview of the Use of Low-Dimensional Molybdenum Disulfide as an Electrode Material for Li-Ion Batteries and Beyond
Batteries · 2025
Mattia Bartoli, Meltem Babayiğit Cinali, Özlem Duyar Coşkun, Silvia Porporato, Diego Pugliese, Erik Piatti, Francesco Geobaldo, Giuseppe Antonio Elia, Claudio Gerbaldi, Giuseppina Meligrana, Alessandro Piovano
Read original paper ↗ ·Capacity correction enhances battery health diagnosis accuracy in data loss scenarios for new energy vehicles
Journal of Power Sources · 2025
Yonghuan Ren, Liang Su, Guangji Song, Weijia Sun
Read original paper ↗ ·Artificial Intelligence and Digital Twin Technologies for Intelligent Lithium-Ion Battery Management Systems: A Comprehensive Review of State Estimation, Lifecycle Optimization, and Cloud-Edge Integration
Batteries · 2025
Seyed Saeed Madani, Yasmin Shabeer, Michael William Fowler, Satyam Panchal, Hicham Chaoui, Saad Mekhilef, Shi Xue Dou, Khay Wai See
Read original paper ↗ ·Machine Learning-Based State of Charge Prediction for 21700 Lithium-Ion Batteries: A Comparative Study
Venue not supplied by source · 2025
Auzan Izzaturrahman, Bandiyah Sri Aprillia, Marsha Clarabell
Read original paper ↗ ·AI Applications in Predictive Maintenance and Reliability of Batteries: Challenges and Future Directions
International Conference on Future Energy Solutions (FES) · 2025
Ioana Cristina Sechel, Aron Csato, Florin Emil Mariasiu
Read original paper ↗ ·Interface engineering and safety in solid-state batteries: Advancing from human-centered insights to AI-driven innovations
Advances in Colloid and Interface Science · 2025
Elnaz Karimi, Stefan Iglauer, Muhammad Rizwan Azhar
Read original paper ↗ ·Reinforcement learning for adaptive fault detection in lithium-ion batteries: a next-generation approach for electric vehicles
Engineering Research Express · 2025
Hethu Avinash Dasari, A Rammohan
Read original paper ↗ ·Machine Learning Techniques for Battery State of Health Prediction: A Comparative Review
World Electric Vehicle Journal · 2025
Leila Mbagaya, Kumeshan Reddy, Annelize Botes
Read original paper ↗ ·AI-driven next-generation lithium-ion battery design automation (BDA) software
National Science Open · 2025
Zekai Liu, Genming Lai, Yunxing Zuo, Xiaohe Song, Qinghua Liu, Fan Zhang, Ziyi Wang, Qi Ji, Jiaxin Zheng, Jiadong Gong, Bo Xu, Chuying Ouyang
Read original paper ↗ ·Battery management in electric aviation: A bibliometric review of technologies, regulations, and international collaborations
Journal of Energy Storage · 2025
Abdeen Osman, Aghyad B. Al Tahhan, Tariq M. Younes, Mohamad Ramadan, Mohammed Asaad Ghazal, Mohammad A. AlKhedher
Read original paper ↗ ·Data‐Driven Electrolyte Design for Advanced Rechargeable Lithium Batteries †
Chinese Journal of Chemistry · 2025
Jiaojiao Deng, Xiaozhen Chen, Yu Bai, Jinhan Mo, Xiaoliang Yu
Read original paper ↗ ·Data-Driven Performance Prediction of Lead–Carbon Batteries: Integrating Experimental Validation and Reduced-Order Model-Guided Neural Networks
Korean Journal of Chemical Engineering · 2025
Aleksey Ni, Ahmad Syauqi, Pham Tan Thong, Hosanna Uwitonze, Heehyang Kim, Vijay Mohan Nagulapati, Inkyung Song, Ho‐Young Jung, Hankwon Lim
Read original paper ↗ ·Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on the Optimized TTAO-VMD-BiLSTM
Batteries · 2025
Pengcheng Wang, Lu Liu, Qun Yu, Dongdong Hou, Enjie Li, Haijun Yu, Shumin Liu, Lizhen Qin, Yunhai Zhu
Read original paper ↗ ·Hybrid approach to battery management: Application of optimization and machine learning for sustainable energy solutions
AIP conference proceedings · 2026
Hari Prasadarao Pydi, Balaji Vasudevan, Duraisamy Premkumar, Giddi Venkateswara Rao, Piramanayagam Sethu Ramalingam, Jyoti Moni Devi
Read original paper ↗ ·NeuralProphet-Based Forecasting of State of Health (SOH) and Remaining Useful Life (RUL) in Lithium-ion Batteries
Lecture notes in mechanical engineering · 2026
Patrick Dale G. Cuartero, Catherine R. Alimboyong
Read original paper ↗ ·Unlocking a shortcut: acceleration of non-aqueous electrolyte development by active machine learning for sodium-based batteries
Digital Discovery · 2026
Mirko Fischer, Robert Tobias Hinz, Christian Wölke, Isidora Cekić-Lasković, Martin Winter, Andreas Heuer
Read original paper ↗ ·Machine learning-based battery life prediction and smart charging optimization for renewable energy storage systems
Future Batteries · 2026
Subhash Kumar Mandal, Pankaj Pateriya, Yogendra Singh Dohare
Read original paper ↗ ·Theoretical modeling and performance prediction of magic-angle twisted bilayer graphene Sodium-Ion batteries: a multi-scale computational framework
Applied Surface Science · 2026
Qinyou Yang, Niwei Zhu, Xinran Wang, Yumo Cai
Read original paper ↗ ·Integration of Electro-Thermal Modelling and Temporal Deep Learning for Reliable State-of-Charge Estimation
Venue not supplied by source · 2026
M. Rama Prasad Reddy, Nagaladinne Mohammed Ghouse, Varda Mahesh Babu, Kondeti Shiva
Read original paper ↗ ·Explainable Datadriven Digital Twins for Predicting Battery States in Electric Vehicles Using Deep Learning Models
International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) · 2026
P. Phanindra Kumar Reddy, Davanam Ganesh, N. Poojitha, P. Shathvika Vishal, S Kaliprasad Karthik, Shaik Afreen
Read original paper ↗ ·A Review of Smart Lithium-Ion Battery Manufacturing: AI-enabled Decision and Control Approaches
International Conference on Intelligent Control and Information Processing · 2026
Feng Ding, Xiaoshu Zhu, Chuqi Wu, Jun Li, Qifeng He
Read original paper ↗ ·Roadmaps for dendrite suppression in next generation lithium-ion batteries: Toward sustainable energy solutions
Energy storage materials · 2026
Yi Li, Sachin Poudel, Kumari Sweta, Erfan Azqadan, Anil Kunwar, Nele Moelans B
Read original paper ↗ ·Enhancing lithium-ion battery analysis: A machine learning approach to investigate innovative silicon thin film anode parameters and discharge capacity
Journal of Power Sources · 2026
Elif Muslu, Ayşegül Uygun Öksüz, Satoshi Hamaguchi, Elif Ceren Gok Yildirim, Murat Onur Yildirim, Kazumasa Ikuse, Pierre Vinchon, Nicolas Aini Mauchamp, Esin Eren
Read original paper ↗ ·Intelligent Thermal and Power Behavior Prediction in Laptop Systems using Machine Learning
Venue not supplied by source · 2026
Manisha Rajesh Mhetre, Tejas R. Kulkarni, Anuj A. Khomane, Samadhan S. Kendre, Aditya V. Kulsange, Soham S. Vaidya
Read original paper ↗ ·Condition-invariant frequency selection and Transformer-Graph autoregressive reconstruction for full-spectrum electrochemical impedance of lithium-ion batteries
Journal of Energy Storage · 2026
Honghao Liang, Syed Abbas Ali Shah, Mahrukh, Ziqiang Xu, Mengqiang Wu
Read original paper ↗ ·Transfer learning for state-of-health prognostics of lithium-ion batteries: A survey
Journal of Energy Storage · 2026
Jingchen Wang, Jinye Lu, Yongliang Liu, Li Li, Kai Wang
Read original paper ↗ ·Review: next-generation metal hydride systems for sustainable hydrogen storage—kinetics, nanostructuring, and intelligent materials discovery
Journal of Materials Science · 2026
Ashutosh Das, Arka Ghosh, Bansod Sneha Bharat, Nityananda Sahoo, Uddeshya Shukla, Parth Patel, Kalyani Tiwari, S.S.K. Deepak, Bappa Das, Pankaj Shrivastava, Velaphi Msomi
Read original paper ↗ ·Toward data-driven lithium metal batteries: Machine learning for materials design, mechanistic insight, and autonomous optimization
Energy storage materials · 2026
Yu Lou, Hongyang Zhao, J Li, Wenxuan Xu, Chaocang Weng, J Li, Likun Pan
Read original paper ↗ ·A review on thermal runaway warning technologies for aviation lithium-ion batteries: Progress, challenges, and prospects
Renewable and Sustainable Energy Reviews · 2026
Shaonan Liu, 吕松 Lü Song, J Huang, Junchao Zhao, Heping Zhang
Read original paper ↗ ·Smart AI based Degradation Converter Control for EV Charging Battery
International Conference on Inventive Computing and Informatics (ICICI) · 2026
M.P. Mohandass, R. Kanish, A.Dinesh, S. Joyal Goodwin
Read original paper ↗ ·Hybrid simulation–learning model for predicting degradation in lead–carbon batteries
Journal of Energy Storage · 2026
Aleksey Ni, Pham Tan Thong, Hosanna Uwitonze, Heehyang Kim, Inkyung Song, Ho-Young Jung, Hankwon Lim
Read original paper ↗ ·The future of sustainable lithium-ion batteries: Ecodesign recommendations for solid-state technologies
Energy storage materials · 2026
Joana R. Gouveia, Inês Ribeiro, Luís Oliveira, Emanuel Lourenço, Belmira Neto
Read original paper ↗ ·Reinforcement Learning for Cathode Material Design Through Sequential Decision-Making Frameworks
Nanomaterials · 2026
Taimoor Muzaffar Gondal, Muhammad Qasim, Yasir Arafat
Read original paper ↗ ·