共 55 条
Adaptive state of energy evaluation for supercapacitor in emergency power system of more-electric aircraft
被引:17
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
来源:
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.
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页数:10
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