航空学报 > 2017, Vol. 38 Issue (7): 520866-520866   doi: 10.7527/S1000-6893.2017.520866

电动直升机概念设计与分析

赵洪, 李建波, 刘铖   

  1. 南京航空航天大学 直升机旋翼动力学国家级重点实验室, 南京 210016
  • 收稿日期:2016-10-19 修回日期:2016-12-14 出版日期:2017-07-15 发布日期:2017-04-05
  • 通讯作者: 李建波,E-mail:ljb101@nuaa.edu.cn E-mail:ljb101@nuaa.edu.cn
  • 基金资助:

    江苏高校优势学科建设工程(PAPD)

Conceptual design and analysis of electric helicopters

ZHAO Hong, LI Jianbo, LIU Cheng   

  1. Science and Technology on Rotorcraft Aeromechanics Laboratory, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2016-10-19 Revised:2016-12-14 Online:2017-07-15 Published:2017-04-05
  • Supported by:

    Priority Academic Program Development of Jiangsu Higher of Education Institutions (PAPD)

摘要:

根据当前电池与电动机特性分别建立适合电动直升机的能源与动力系统数学模型,提出满足电动直升机的3种能源方案,构建出一套适合电动直升机概念设计的总体参数选择与优化方法,并结合任务剖面需求对采用3种能源方案的电动直升机展开总体参数的选择与敏感性分析。受当前电池技术水平发展,电动直升机的久航性能与燃油动力直升机相比有较大差距。通过参数敏感性分析方法得出,电动直升机具有与燃油直升机不同的设计特征,电动直升机应结合动力及能源系统特征进行针对性设计。

关键词: 电动直升机, 概念设计, 飞行性能, 优化, 敏感性分析

Abstract:

Based on the characteristics of present batteries and electric motors, the energy and power system models adaptable to electric helicopters are established respectively. Three energy programs applicable for electric helicopters are proposed, and a methodology involving primary parameters sizing and optimization for conceptual design of electric helicopters is developed. Considering mission profile requirements, parameters sizing and sensitivity analysis for the helicopter applying the three different energy proposals are performed. Due to limitation of current development of battery technology, there still exists a wide gap between endurance of electric and of fuel-consuming helicopters. Parameter sensitivity analysis shows that the design features of electric helicopters are different from those of fuel-consuming helicopters, so that the characteristics of the power and energy systems should be specifically considered in the design of electric helicopters.

Key words: electric helicopter, conceptual design, flight performance, optimization, sensitivity analysis

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