Authors: Anay Sunilkumar Pandya
Abstract: This research presents a conceptual framework and predictive simulation for a terrain-adaptive, plug-and-play energy optimization module designed for electric four-wheelers. Building upon proven success in two-wheeler EVs, this paper extends the architecture to heavier, multi-axle platforms. By integrating AI-based terrain analysis, driving pattern recognition, and intelligent power routing, the proposed system aims to deliver up to 22–28% improvement in driving range without modifying core drivetrain components. Simulations based on real urban and semi-urban Indian driving data validate performance forecasts. The system is particularly relevant to passenger EVs, fleet operators, and last-mile delivery vehicles in infrastructure-limited markets.
DOI: https://doi.org/10.5281/zenodo.15703704
