Adaptive state of energy evaluation for supercapacitor in emergency power system of more-electric aircraft

被引:16
|
作者
Wang, Bin [1 ]
Wang, Chaohui [1 ]
Wang, Zhiyu [1 ]
Ni, Siliang [2 ]
Yang, Yixin [1 ]
Tian, Pengyu [1 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China
[2] Univ Canterbury, Coll Engn, Dept Mech Engn, Private Bag 4800, Christchurch 8140, New Zealand
基金
中国国家自然科学基金;
关键词
Supercapacitor; State of energy evaluation; Adaptive parameter estimation; Sliding mode observer; Emergency power system; More -electric aircraft; DOUBLE-LAYER CAPACITORS; MANAGEMENT STRATEGIES; CHARGE ESTIMATION; FUTURE; ARCHITECTURE; PARAMETERS; BATTERIES;
D O I
10.1016/j.energy.2022.125632
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents an adaptive state of energy (SOE) evaluation method for a supercapacitor in the emergency power system of a more-electric aircraft. The adaptive SOE evaluation is realized based on a dynamic first-order RC equivalent circuit and its self-adaptive updated parameters. First, a dynamic first-order RC equivalent circuit with three parameters (i.e., the charge/discharge resistance R0, the dynamic self-discharge resistance R1, and the dynamic capacity C1) and a state-space model are introduced for modeling the supercapacitor. Then, an adaptive sliding mode observer is designed for tracking the dynamic change of the three state-space model parameters (i. e., R0, (R0+R1)/R1C1, and 1/R1C1). With this design, the three parameters of the dynamic first-order RC equivalent circuit can be updated adaptively along with the derivation of the three state-space model parameters. Moreover, the adaptive sliding mode observer is redesigned with a sign function, which can enhance the convergence rate of the three self-adaptive updated parameters. Finally, the accurate SOE evaluation would be achieved based on the three self-adaptive updated parameters. Various simulations and experiments are con-ducted to validate the adaptive SOE evaluation method. It is shown that the adaptive SOE evaluation method can achieve 0.5% of the maximum relative error of the estimated SOE. Compared with the commonly used method, the adaptive SOE evaluation method has over 1% improvement for the SOE estimation accuracy.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Instantaneous Power Control Within an Advanced Power Generation Center for More-Electric Aircraft Applications
    Lang, Xiaoyu
    Yang, Tao
    Huang, Zhen
    Wang, Zhenyu
    Bozhko, Serhiy
    Wheeler, Patrick
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (03) : 3261 - 3274
  • [32] Development of a Smart Supercapacitor Energy Storage System for Aircraft Electric Power Systems
    Fares, Ahmed M.
    Kippke, Matias
    Rashed, Mohamed
    Klumpner, Christian
    Bozhko, Serhiy
    ENERGIES, 2021, 14 (23)
  • [33] Analysis of Polygon Connected ATRU for the More-Electric Aircraft
    Farrugia, Daniel
    Apap, Maurice
    Micallef, Alexander
    Staines, Cyril Spiteri
    20TH IEEE MEDITERRANEAN ELETROTECHNICAL CONFERENCE (IEEE MELECON 2020), 2020, : 136 - 140
  • [34] Electrical and Electronic Technologies in More-Electric Aircraft: A Review
    Ni, Kai
    Liu, Yongjiang
    Mei, Zhanbo
    Wu, Tianhao
    Hu, Yihua
    Wen, Huiqing
    Wang, Yangang
    IEEE ACCESS, 2019, 7 : 76145 - 76166
  • [35] Stability-Oriented Impedance Modeling, Analysis, and Shaping for Power Supply System in More-Electric Aircraft: A Review
    Xu, Zixiao
    Qi, Yang
    Guerrero, Josep M.
    Vasquez, Juan C.
    Wang, Yufeng
    Zhao, Hongwei
    Li, Weilin
    Wu, Yu
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (04): : 9351 - 9365
  • [36] Fault Tolerant Control of Advanced Power Generation Center for More-Electric Aircraft Applications
    Lang, Xiaoyu
    Yang, Tao
    Wang, Zhenyu
    Wang, Cheng
    Bozhko, Serhiy
    Wheeler, Patrick
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (04) : 4173 - 4189
  • [37] Simulation and analysis of a fuel cell/battery hybrid power supply for More-Electric Aircraft
    Corcau, J.
    Grigorie, T. L.
    Dinca, L.
    38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 5477 - 5481
  • [38] Intelligent Soft Computing-Based Security Control for Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts
    Kamal, Mohasinina Binte
    Mendis, Gihan J.
    Wei, Jin
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2018, 12 (04) : 806 - 816
  • [39] Optimal Droop Control Design Using Artificial Intelligent Techniques for Electric Power Systems of More-Electric Aircraft
    Hussaini, Habibu
    Yang, Tao
    Gao, Yuan
    Wang, Cheng
    Urrutia, Matias
    Bozhko, Serhiy
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (01): : 2192 - 2206
  • [40] Adaptive Online Power Management for More Electric Aircraft With Hybrid Energy Storage Systems
    Wang, Yu
    Xu, Fang
    Mao, Shiwen
    Yang, Shanshui
    Shen, Yinxing
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2020, 6 (04): : 1780 - 1790