混合电推进能源管理系统模糊逻辑控制
作者:
作者单位:

(1. 国防科技大学 空天科学学院, 湖南 长沙 410073;2. 湖南文理学院 计算机与电气工程学院, 湖南 常德 415000)

作者简介:

朱炳杰(1985—),男,湖南双峰人,讲师,博士,E-mail:jackerzhu@163.com

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中图分类号:

V275; V234

基金项目:

国家自然科学基金资助项目(52172410,61703414);国家重点研发计划资助项目(2021ZD0140300)


Fuzzy logic control for hybrid electric propulsion energy management system
Author:
Affiliation:

(1. College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China;2. School of Electrical and Computer Engineering, Hunan University of Arts and Science, Changde 415000, China)

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    摘要:

    针对混合电推进能源管理方法开展研究,设计了一种基于模糊逻辑控制的混合电推进能源管理系统。通过设置垂直起降飞行器的功率要求、内燃机-发电机输出功率和储能电池荷电状态的模糊隶属度函数,动态最优分配发电机与储能电池的功率输出,从而提升系统的燃油经济性与飞行器的航程。结合模型设置,对100 kg级的垂直起降转平飞的飞行器能源系统变化进行仿真计算,验证了能源控制算法的可行性。结果表明:基于模糊逻辑控制的能源管理方法,在总时长约为1.2 h的飞行过程中,内燃机约有1 h的时间工作在比油耗最低的区域,从而提升了混合电推进系统的能量利用效率。研究为后续混合电推进系统的能源高效控制与管理提供了设计思路和分析方法。

    Abstract:

    For the energy management method for hybrid electric propulsion system was studied, an energy management strategy based on fuzzy logic control was presented. By setting the fuzzy membership function of VTOL(vertical take-off and landing) aircraft′s power requirement, internal-combustion-engine-generator′s output power, and the state of charge of battery, the output power of generator and battery were dynamically optimal allocated. So as to increase the fuel economy and aircraft range effectively. According to the model establishment, the energy system changes of 100 kg scale VTOL aircraft were simulated, and simulation results demonstrate that the algorithm was practical. Results indicate that energy management strategy based on fuzzy logic control can effectively improve the performance of hybrid electric propulsion system, during the 1.2 h flight, ICE(internal combustion engine) can run approximately 1 h with the lowest specific fuel consumption, and can improve the energy efficiency of hybrid electric propulsion system.The conduction provide design thoughts and analysis method for energy control and arrangement of hybrid electric propulsion system.

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引用本文

朱炳杰,朱莹涛,李建奇.混合电推进能源管理系统模糊逻辑控制. Fuzzy logic control for hybrid electric propulsion energy management system[J].国防科技大学学报,2023,45(6):32-39.

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  • 收稿日期:2022-06-17
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  • 在线发布日期: 2023-12-08
  • 出版日期: 2023-12-28
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