Citation :

Hari Prasad Bhupathi, Srikiran Chinta, 2024. "AI-Powered Efficiency Machine Learning Techniques for EV Battery Charging" ESP International Journal of Advancements in Science & Technology (ESP-IJAST) Volume 2, Issue 3: 64-73.

Abstract :

The widespread adoption of electric vehicles (EVs) is crucial for reducing carbon emissions and combating climate change. However, the efficiency of EV battery charging systems remains a critical challenge, with issues such as long charging times, energy inefficiency, and battery degradation. This paper explores the application of artificial intelligence (AI) and machine learning (ML) techniques to optimize EV battery charging processes. By leveraging predictive models, adaptive charging strategies, and intelligent energy management systems, AI can significantly enhance charging efficiency, reduce energy consumption, and improve battery lifespan. We discuss various ML algorithms, including reinforcement learning, neural networks, and data-driven approaches, that can intelligently manage charging cycles in real-time, adjusting to factors like battery health, grid load, and driving patterns. Simulation results and real-world applications of AI-powered charging systems are presented, demonstrating their potential to revolutionize the EV charging infrastructure. This paper concludes with insights into future trends in AI-powered EV charging, highlighting the role of emerging technologies such as solid-state batteries and smart charging stations in shaping a sustainable, high-performance EV ecosystem.

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[32] "Investigation of WBG based Power Converters used in E-Transportation, Hari Prasad Bhupathi, B.P. Bobba, Ummidisetty Niharika, Sattur Akshitha, K. Sardina, B. Lingam and M.M. Adnan, E3S Web Conf., 552 (2024) 01145. DOI: https://doi.org/10.1051/e3sconf/202455201145".

[33] "Effect of Inverter Voltage Levels on Torque Ripples of PMSM Drive, Vinodh Kumar Pandraka, Ramamohan Rao Tinnavelli, Rajagiri Anil Kumar, Hari Prasad Bhupathi and Sree Lakshmi Gundebommu E3S Web of Conf., 547 (2024) 02016 DOI: https://doi.org/10.1051/e3sconf/202454702016"

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[35] "Simultaneous Wireless Power and Data Transfer in Different Applications Phaneendra Babu Bobba, Mohd Hamza Anwar, Hari Prasad Bhupathi, P. Shirisha and Laeth Hamza E3S Web Conf., 552 (2024) 01147 DOI: https://doi.org/10.1051/e3sconf/202455201147."

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[37] "Performance analysis of solid-state batteries in Electric vehicle applications Phaneendra Babu Bobba, Lakshmi Sri Harshitha Yerraguntla, Sathvika Pisini, H.P. Bhupathi, Srinivas D and M.M. Hassan E3S Web Conf., 552 (2024) 01149 DOI: https://doi.org/10.1051/e3sconf/202455201149"

[38] H. P. Bhupathi, S. L. Gundebommu and V. K. Pandraka, "Performance Comparison of Three-level Diode Clamped and T-type Multilevel Inverter," 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), Greater Noida, India, 2024, pp. 1-5, doi: 10.1109/ICEECT61758.2024.10739197.

[39] Hari Prasad Bhupathi, Srikiran Chinta, 2023. "Optimizing EV Ecosystems: AI and Machine Learning in Battery Charging", ESP International Journal of Advancements in Science & Technology (ESP-IJAST), Volume 1, Issue 3: 84-96.

Keywords :

Electric Vehicles (EV), Battery Charging, Machine Learning (ML), Artificial Intelligence (AI), Charging Efficiency, Reinforcement Learning, Neural Networks, Battery Management System (BMS), Energy Optimization, Charging Time Reduction.