Hybrid Cooling System for Thermal Management in Electric Aerial Vehicles

电子设备和系统的热管理 水冷 热的 航空航天工程 汽车工程 环境科学 海洋工程 气象学 工程类 机械工程 物理
作者
Vinayak Nyamagoudar,Putchakayala Namratha,Madireddy Balasubrahmanyam,Sridhar Vanka,Raghavendra Gattu,Ahmed Abu-Heiba,Rakesh Kumar Jha
出处
期刊:SAE technical paper series 被引量:1
标识
DOI:10.4271/2024-26-0468
摘要

<div class="section abstract"><div class="htmlview paragraph">Continuous improvements and innovations towards sustainability in the aviation industry has brought interest in electrified aviation. Electric aircrafts have short missions in which the temporal variability of thermal loads is high. Lithium-ion (Li-ion) batteries have emerged as prominent power source candidate for electric aircrafts and Urban Air Mobility (UAM). UAMs and Electric aircrafts have large battery packs with battery capacity ranging in hundreds or thousands of kWh. If the battery is exposed to temperatures outside the optimum range, the life and the performance of the battery reduces drastically. Hence, it is crucial to have a Thermal Management System (TMS) which would reduce the heat load on battery in addition to the cabin thermal loads.</div><div class="htmlview paragraph">Thermal management can be done through active or passive cooling. Adding a passive cooling system like Phase Change Material (PCM) to the TMS reduces the design maximum thermal loads. However, the added weight of the PCM module may at times outweigh the benefit of energy savings. This research studies thermal management of electric aircrafts/UAMs using Vapor Cycle System (VCS), Phase Change Material (PCM) and combination thereof (Hybrid). The three TMS architectures are compared for different UAM/electric air vehicle, and the results will help us conclude the best method of cooling. The analysis of the results quantifies the impact of the architecture on the weight and size metrics on the UAM/electric air vehicles. Also, three representative UAM/electric air vehicles of different capacities are simulated using MATLAB, and their results will help us to optimize the best TMS that can be applied to electric aerial vehicles of varying passenger capacity depending on its heat loads. The simulated results show for lower heat loads PCM alone, and for higher heat loads hybrid TMS provide best cooling solution.</div></div>
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