Research on Energy Management Strategies for Integrated Energy System in Electric Propulsion Aircraft

被引:0
作者
Wen, Qidong [1 ]
Liang, Deliang [1 ]
Xue, Yanting [1 ]
Liang, Zhe [1 ]
Zhang, Lishi [2 ]
Liang, Yang [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect Engn, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
[2] China Elect Power Planning & Engn Inst, Beijing 100120, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy management; Batteries; Aircraft propulsion; Transient analysis; Steady-state; Aircraft; Aerospace electronics; Generators; Voltage control; Pulse width modulation; Decentralized droop control; distributed optimization method; electric propulsion aircraft (EPA); energy management strategy (EMS); integrated energy system (IES); STORAGE SYSTEM; POWER-SYSTEM; SUPERCAPACITOR; BATTERY; ARCHITECTURE; FUTURE;
D O I
10.1109/TPEL.2025.3551352
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To enhance the endurance and energy utilization efficiency of electric propulsion aircraft (EPA), this article constructs an integrated energy system (IES) architecture for EPA and, on this basis, proposes an energy management strategy (EMS) that considers both transient and steady-state operating conditions. The IES includes super-capacitors (SC), batteries, fuel cells (FCs), open winding permanent magnet synchronous generator, and the corresponding power converters. Under transient conditions with varying loads, low-frequency power is automatically directed to the FC and generator, medium-frequency power is allocated to the battery, and high-frequency power is assigned to the SC. This dynamic power distribution is facilitated by a decentralized droop control within the EMS framework. In addition, the proposed strategy promotes the recovery of the state of charge (SoC) of SCs and batteries, stabilizes the bus voltage, and effectively absorbs regenerative energy. In a steady-state scenario, the EMS proposed in this article optimizes the output power of FC, battery, and generator in a distributed manner, ensuring the system's efficiency and cost-effectiveness. Finally, an experimental platform is established for the proposed IES architecture, and the feasibility of the proposed EMS is validated.
引用
收藏
页码:13754 / 13766
页数:13
相关论文
共 40 条
[1]   Future of Electrical Aircraft Energy Power Systems: An Architecture Review [J].
Cano, Tania C. ;
Castro, Ignacio ;
Rodriguez, Alberto ;
Lamar, Diego G. ;
Khalil, Yehia F. ;
Albiol-Tendillo, Laura ;
Kshirsagar, Parag .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2021, 7 (03) :1915-1929
[2]   Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks [J].
Chen, Jianshu ;
Sayed, Ali H. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (08) :4289-4305
[3]   A Decentralized Energy Management Strategy for a Fuel Cell/Supercapacitor-Based Auxiliary Power Unit of a More Electric Aircraft [J].
Chen, Jiawei ;
Song, Qingchao .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (07) :5736-5747
[4]   A Decentralized Dynamic Load Power Allocation Strategy for Fuel Cell/Supercapacitor-Based APU of Large More Electric Vehicles [J].
Chen, Jiawei ;
Song, Qingchao .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (02) :865-875
[5]   Investigation on the Selection of Electric Power System Architecture for Future More Electric Aircraft [J].
Chen, Jiawei ;
Wang, Chengjun ;
Chen, Jie .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2018, 4 (02) :563-576
[6]   On the Decentralized Energy Management Strategy for the All-Electric APU of Future More Electric Aircraft Composed of Multiple Fuel Cells and Supercapacitors [J].
Chen, Jie ;
Song, Qingchao ;
Yin, Sihao ;
Chen, Jiawei .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (08) :6183-6194
[7]   Configuration method of hybrid energy storage system for high power density in More Electric Aircraft [J].
Cheng, Long ;
Zhang, Fanghua ;
Liu, Shuo ;
Zhang, Zehua .
JOURNAL OF POWER SOURCES, 2020, 445
[8]  
Clarke PES, 2017, IEEE TRANSP ELECT C, P393, DOI 10.1109/ITEC.2017.7993303
[9]  
Dai Z., 2017, P IEEE TRANSP EL C E, P1
[10]   Multiagent-Based Optimal Microgrid Control Using Fully Distributed Diffusion Strategy [J].
de Azevedo, Ricardo ;
Cintuglu, Mehmet Hazar ;
Ma, Tan ;
Mohammed, Osama A. .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (04) :1997-2008