Work

AI-Driven Fuel Optimization in VTOL Aircraft: A Comprehensive Review

Year: 2025

Type: article

Abstract: Artificial Intelligence (AI) is transforming fuel efficiency optimization into Vertical Take-Off and Landing (VTOL) aircraft through advanced machine learning algorithms, adaptive control systems, and predictive maintenance strategies. This review examines the current state of AI applications in VTOL fuel optimization, analyzing key methodologies including route optimization, real-time adaptive control, hybrid power management, and predictive maintenance. Recent field trials demonstrate energy savings ranging from 5% to 18%, with notable implementations by NASA, GE Aviation, and Bell Nexus. We discuss the technical challenges, regulatory considerations, and future directions that will shape the integration of AI in next-generation urban air mobility systems.

Source: Acceleron Aerospace Journal

DOI: 10.61359/11.2106-2532

Author: Kanishk Mahaveer Jain

Institutions: Birla Institute of Technology and Science, Pilani - Dubai Campus, Birla Institute of Technology and Science, Pilani

Language: English

Topic: Advanced Aircraft Design and Technologies

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: diamond

Funder: Acceleron