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Dr. Rahulkumar Shivajirao Hingole is the Principal of Kokate VAST, Karjule Harya, Tal. Parner, District Ahilya Nagar, Maharashtra, India. His professional and academic interests encompass engineering education, institutional leadership, and emerging technological applications. He contributes to the development of intelligent approaches for electric vehicle battery health monitoring.
Electric cars (EVs) depend significantly on rechargeable battery systems for movement, and the safety, dependability, driving range, and financial worth of an EV are profoundly affected by the state of the battery.This section outlines a thorough structure for utilising Agentic AI in the assessment of EV battery health. It examines battery architecture, BMS functionalities, mechanisms of battery degradation, health-related state variables, sensing and data collection, data preprocessing, machine learning and deep learning frameworks, physics-informed methodologies, digital twins, real-time state of health estimation, remaining useful life prediction, thermal anomaly identification, fault diagnosis, adaptive battery surveillance, edge-cloud infrastructures, fleet-level intelligence, and multi-agent BMS frameworks. The section additionally explores elucidation, quantification of uncertainty, cybersecurity, privacy concerns, functional safety, human-in-the-loop processes, and performance assessment. The chapter wraps up by outlining prospective research avenues such as multimodal foundation models, federated learning, digital twins for batteries, autonomous diagnostics, monitoring of solid-state batteries, and collaborative intelligence at fleet scale.