MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123934 A) filed by Saveetha Engineering College, Chennai, Tamil Nadu, on Dec. 9, 2025, for 'machine learning-driven adaptive energy optimization architecture for enhancing electric vehicle battery longevity and driving efficiency.'

Inventor(s) include S. Narendiran; Srinivasan P; A. Ferminus Raj; Prabhu M. S; P. Manju; J. Karthika; D. Shyam; M. Balamurugan; Arjun Kumar G B; Dhanaselvam J; Ajith. B. Singh; and M. Thirunavukkarasu.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to the development of the machine learning-driven adaptive energy optimization architecture presents a new paradigm for extending electric vehicle battery life and driving efficiency. The system dynamically adjusts energy distribution and consumption strategies by leveraging real-time data inputs such as driving patterns, battery health, and environmental conditions. By using machine learning algorithms, it predicts optimal power usage and regenerative braking tactics that reduce battery degradation and improve range. An adaptive framework allows personalized energy management to be implemented for different driving behaviors, further improving overall vehicle efficiency. The architecture integrates with vehicle sensors to ensure continuous learning and adaptation for optimal performance across a wide range of operating conditions. Predictive maintenance is supported by the architecture through the early detection of battery wear, reducing unexpected failures. Simulation and experimental validation prove significant improvements in battery lifespan and energy utilization over conventional fixed strategies. This research underlines the potential of machine learning to drive a revolution in EV energy management, enabling sustainable transportation while overcoming major challenges related to battery durability and energy efficiency. This adaptive architecture marks a critical step in making electric vehicles even smarter and more resilient."

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