Open Citations — Battery Management Systems for Electric Vehicles using Lithium-Ion Batteries | IJSR
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Open Citations

Battery Management Systems for Electric Vehicles using Lithium-Ion Batteries

Samudrala Hitesh Chandra, Dr. Jn. Chandra Sekhar

4 Open Citations
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Last updated: 2026-10-12 17:45:27

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A Novel Approach for Identification of Autonomous Vehicle Battery Performance with Artificial Intelligence: Predictive Upkeep with Deep Learning and Online Data Analysis

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International Conference on Trends in Quantum Computing and Emerging Business Technologies (TQCEBT) · 2026

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An Overview of Remaining Useful Life Prediction of Battery Using Deep Learning and Ensemble Learning Algorithms on Data‐Dependent Models

C L Sravanthi, J. N. Chandra Sekhar, Nallolla Chinna Alluraiah, C. Dhanamjayulu, Harish Kumar Pujari, Baseem Khan

International Transactions on Electrical Energy Systems · 2025

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Machine Learning-Based Approach for Predicting Battery Remaining Useful Life (RUL): A Data-Driven Methodology

Bodagala Vijaya Lakshmi Devi, Vimal Kumar

International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) · 2023

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MODEL-BASED BATTERY MANAGEMENT SYSTEM A REVIEW WITH MATLAB

International Research Journal of Modernization in Engineering Technology and Science · 2023

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