MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202621095144 A) filed by Dhruv Deepan Shah; and Rafe Shaikh on August 06, 2026, for Ai-Based Intelligent Electric Vehicle Range Prediction And Navigation System Using Multi-Model Machine Learning And Agentic Architecture.
Inventors include Dhruv Deepan Shah; Rafe Shaikh; Manoj Jagdale; Khushi Shah; Srushti Ippalpalli; and Arnav Yete.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to a computer-implemented electric vehicle intelligence and navigation platform configured to predict real-world driving range and generate charging-aware routes. The system incorporates a data ingestion module configured to receive vehicle, environmental, and geographic parameters across a multi-factor input schema, together with a penalty correction module that applies region-specific correction factors. A weighted ensemble machine learning engine processes the corrected parameters to generate a predicted real-world driving range, battery degradation curve, and resale value estimate. A charging-network aggregation module collects station, pricing, and availability data from multiple independent operators, while a multi-agent artificial intelligence orchestration module, supported by a multiprovider large-language-model routing mechanism, performs autonomous multi-step tasks including vehicle comparison and charging-aware route generation. The invention provides an accurate, unified, and scalable decision-support platform suitable for individual electric vehicle owners, fleet operators, and used- vehicle buyers, and supports real-time, India-calibrated interaction through the integration of region-aware prediction, charging intelligence, and multiagent artificial intelligence orchestration
Disclaimer: Curated by HT Syndication.
