Authors: Anay Sunilkumar Pandya
Abstract: This paper presents the conceptual design and testing of an AI-enhanced, terrain-adaptive energy optimization module for electric two-wheelers. Unlike traditional plug-and-play extenders, this system uses a combination of gyroscopic sensors and machine learning to predict driver behavior and road conditions, optimizing power delivery accordingly. Simulated testing shows potential range improvements of up to 38% while maintaining battery longevity. The innovation is particularly suited for urban EV users in mixed-terrain environments. The invention is novel and under consideration for intellectual property protection.
