Biography
Priyadharshini V(Orcid-0009-0005-8252-838x), currently working as an Assistant Professor in the Department of Electronics and Communication Engineering at KSIT Engineering College. She completed my M.Tech in **Power Electronics and Drives* and has taught subjects including *Digital Communication, Computer Organization, and Electrical and Electronics. She is currently pursuing my Ph.D. under VTU. Her research interests include **communication systems, power electronics, artificial intelligence applications in ECE, and emerging wireless communication technologies*. She is committed to teaching, research, and contributing to advancements in the field of Electronics and Communication Engineering.
Conference contributions 1
IMPLEMENTATION OF CLOUD BASED AUTOMATION USING ARTIFICIAL INTELLIGENCE FOR ENHANCED RELIABILITY IN ELECTRIC VEHICLES
Electric vehicles (EVs) are becoming a primary solution for sustainable transportation due to reduced greenhouse gas emissions and improvement in energy efficiency. The performance interaction of subsystems, including motor controllers, advanced battery management systems (BMS), and robust charging infrastructures. The paper proposes EV technologies, ranging from machine learning-based battery diagnostics and nonlinear reliability models to wireless power transfer (WPT) systems and solar-assisted drives. This research establishes critical thermal benchmarks for BMS by demonstrating that Li-ion battery voltage levels degrade aggressively at a 2C-rate compared to a 0.3C-rate, when ambient temperatures reach 40°C. It validates the use of Explainable AI (XAI) through LightGBM and XGBoost as a powerful tool for grid management, a substantial 63% to 89% reduction in peak regional energy demand by optimizing charging schedules across different locations and times, without the need for physical infrastructure. In terms of motion control, integrated convex optimization is highly effective for eco-driving. By treating road geometry, including slope and curvature as active variables, our approach reduced the computational load to less than 0.005%. This breakthrough allows the energy saving algorithms to run in real-time. The evolution between 2023-2025 transitions toward 300 kW ultra-fast charging systems complements the standard battery capacities of 75–80 kWh. GREET model for a comprehensive life-cycle analysis, optimizes vehicle-to-grid (V2G) strategies drives a 28% decrease in total carbon emissions by 2030. This provides a strategic blueprint for balancing performance, longevity, and ecological impact in the next generation and analysis results will be shared to the user through Email and messages.