灵活性(工程)
能源管理
软件部署
电气化
储能
推进
航空
系统工程
计算机科学
工程类
能量(信号处理)
发电
可扩展性
高效能源利用
电池(电)
汽车工程
能源工程
航程(航空)
电力航天器推进
光伏系统
电力
电动汽车
电力系统
电源管理
功率(物理)
系统集成
可再生能源
分布式发电
航空航天工程
感应充电
动力传动系统
太阳能
航空航天
温室气体
作者
Ahmed Elmeligy,Nour El-Din Safwat,Mohamed Shawky El-Moursi,Roberto Sabatini
出处
期刊:Energy Reports
[Elsevier BV]
日期:2026-02-19
卷期号:15: 109137-109137
标识
DOI:10.1016/j.egyr.2026.109137
摘要
The electrification of aviation is rapidly progressing with the rise of Advanced Air Mobility, which envisions a new era of safe, efficient, and sustainable aerial transportation through the deployment of hybrid electric vertical take-off and landing aircraft across both urban and regional environments. Achieving this vision depends critically on the readiness and integration of onboard energy systems that can support complex and dynamic mission profiles involving distinct power and endurance demands across phases such as take-off, hover, climb, cruise, descent, and precision landing. This paper provides a comprehensive review of energy storage and generation technologies including battery electric systems, hydrogen fuel cells, solar augmented designs, and hybrid electric architectures that enable operational flexibility and improved energy resilience. Central to the realization of energy optimized missions is the role of intelligent energy management systems where artificial intelligence is emerging as a transformative approach. These AI based frameworks allow distributed control of energy flow, adaptive propulsion coordination, and real time decision making across mission objectives such as minimum emissions, maximum range, or minimum energy consumption. The paper concludes with future directions for integrating AI driven control, scalable infrastructure, and aviation ready energy solutions that enable the next generation of intelligent hybrid electric Vertical Take-Off and Landing (VTOL) platforms and sustainable air mobility ecosystems. • Comprehensive review of energy architectures for sustainable VTOL and AAM platforms. • Demonstrates that hybrid-electric propulsion as a pathway to enhanced range and mission flexibility. • Evaluates AI driven energy management for adaptive, real time power optimization. • Analyzes certification, infrastructure, and system integration barriers in AAM deployment. • Defines research gaps towards scalable, low emission VTOL energy solutions.
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