AI-Assisted Dual-Zone Air Channel Turbine Framework for Hybrid Energy Recovery and Predictive Battery Thermal Regulation in Electric Vehicles

The proposed system is an advanced electric vehicle technology that integrates aerodynamic energy harvesting and intelligent battery thermal management into a single platform. A dual-zone air channel architecture is employed to efficiently utilize vehicle-generated airflow. One airflow path drives a micro-turbine generator to recover renewable electrical energy, while the second path provides controlled cooling to the EV battery pack.

An ESP32-based embedded controller continuously collects data from temperature, voltage, current, and airflow sensors through I²C communication. Based on real-time operating conditions, an AI-assisted control algorithm predicts battery thermal requirements and dynamically adjusts servo-controlled air ducts to optimize airflow distribution between power generation and cooling functions.

The recovered energy is regulated through a DC-DC buck converter and utilized for auxiliary vehicle loads or battery charging support. The intelligent control system ensures efficient battery temperature regulation, improved energy utilization, and enhanced vehicle performance. Real-time system parameters are displayed on an OLED/LCD interface, enabling continuous monitoring and diagnostics.

This innovative solution contributes to extending EV driving range, improving battery lifespan, reducing thermal stress, and enhancing overall vehicle energy efficiency, making it suitable for future smart and sustainable electric mobility applications.