流体力学与飞行力学

飞行器能源与热管理系统中多能流统一建模与分析方法

  • 滕润航 ,
  • 贺克伦 ,
  • 赵甜 ,
  • 於萧萧 ,
  • 于喜奎 ,
  • 徐向华 ,
  • 梁新刚 ,
  • 陈群
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  • 1.清华大学 工程力学系 热科学与动力工程教育部重点实验室,北京 100084
    2.沈阳飞机设计研究所,沈阳 110035

收稿日期: 2022-12-26

  修回日期: 2023-02-01

  录用日期: 2023-04-03

  网络出版日期: 2023-04-21

基金资助

国家自然科学基金(52125604)

Unified modeling and analysis method of multi-energy flow for aircraft energy and thermal management system

  • Runhang TENG ,
  • Kelun HE ,
  • Tian ZHAO ,
  • Xiaoxiao YU ,
  • Xikui YU ,
  • Xianghua XU ,
  • Xingang LIANG ,
  • Qun CHEN
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  • 1.Key Laboratory for Thermal Science and Power Engineering of Ministry of Education,Department of Engineering Mechanics,Tsinghua University,Beijing 100084,China
    2.Shenyang Aircraft Design & Research Institute,Shenyang 110035,China

Received date: 2022-12-26

  Revised date: 2023-02-01

  Accepted date: 2023-04-03

  Online published: 2023-04-21

Supported by

National Natural Science Foundation of China(52125604)

摘要

能源与热管理系统的综合集成优化设计是充分提升飞行器性能的关键技术之一。然而,由于热管理、电源等子系统的传统分析方法存在差异,导致整体集成设计的复杂度大。基于热力系统分析的热量流法,建立了电量、热量、工质的规范化传输网络模型,提出了热管理、电源等子系统间的数据交互方法,形成了飞行器能源与热管理系统的整体建模分析方法。计算结果表明,该方法在确保准确性的前提下,计算耗时比商业软件AMESim低近2个数量级。通过对给定飞行剖面的系统进行变工况仿真,计算出了在满足温控的需求下,单次任务目标所需的相变工质携带量为348.8 kg,机载蓄电池所需的最低初始电量和容量为1 837、3 158 W∙h。因此,所提出的方法可用于飞行器轻量化的定量优化。

本文引用格式

滕润航 , 贺克伦 , 赵甜 , 於萧萧 , 于喜奎 , 徐向华 , 梁新刚 , 陈群 . 飞行器能源与热管理系统中多能流统一建模与分析方法[J]. 航空学报, 2023 , 44(19) : 128427 -128427 . DOI: 10.7527/S1000-6893.2023.28427

Abstract

The integrated optimization of energy and thermal management system is one of the key technologies in aircraft performance improvement. However, due to the differences in traditional analysis methods of thermal management, power supply and other subsystems, the overall integration analysis is too complicated to conduct. Based on the heat current method of thermal system analysis, this paper establishes the standardized transmission network model of electric, heat and working medium, and proposes the data interaction method between the subsystems of thermal management and power supply, forming an overall modeling and analysis method for the energy and thermal management system of aircraft. The same system is also computationally tested on AMESim. Calculation results show that the calculation time of the newly proposed method is nearly 2 orders of magnitude lower than that of the commercial software AMESim on the premise of ensuring the accuracy. Through the variable condition simulation of the system with a given flight profile, it is calculated that under the requirement of temperature control, the carrying capacity of the phase change working medium required by a single mission target is calculated to be 348.8 kg, and the minimum initial power and capacity required by the airborne battery are 1 837 and 3 158 W∙h, repsectively. In conclusion, the proposed method can be used for quantitative lightweight optimization of aircraft.

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