A comparative study of equivalent circuit models of ultracapacitors for electric vehicles

被引:129
作者
Zhang, Lei [1 ,2 ]
Wang, Zhenpo [1 ]
Hu, Xiaosong [3 ]
Sun, Fengchun [1 ]
Dorrell, David G. [2 ]
机构
[1] Being Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[2] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia
[3] Univ Calif Berkeley, Energy Controls & Applicat Lab, Berkeley, CA 94720 USA
关键词
Ultracapacitors; Equivalent circuit models; Genetic algorithm; Electric vehicles; ENERGY-STORAGE-SYSTEM; ONLINE PARAMETER-IDENTIFICATION; MANAGEMENT STRATEGIES; CHARGE ESTIMATION; SUPERCAPACITOR; BATTERY; BEHAVIOR; TEMPERATURE; STATE; BUS;
D O I
10.1016/j.jpowsour.2014.10.170
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This paper comparatively examines three types of equivalent circuit models for ultracapacitors. They are the classic model, the multi-stage ladder model and the dynamic model. These models are consciously selected from the state-of-the-art lumped models reported in the literature. A test rig is developed and used to load the ultracapacitor and to collect the test data. The genetic algorithm (GA) is employed to extract the optimal model parameters based on the Hybrid Pulse Power Characterization (HPPC) test. The performance of these models is evaluated and compared by measuring the model complexity, accuracy, and robustness against "unseen" data collected in the Dynamic Stress Test (DST) and a self-designed pulse test (SDP). The validation results show that the dynamic model has the best overall performance. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:899 / 906
页数:8
相关论文
共 25 条
[1]  
Belhachemi F, 2000, IEEE IND APPLIC SOC, P3069, DOI 10.1109/IAS.2000.882604
[2]   Embedded Fractional Nonlinear Supercapacitor Model and Its Parametric Estimation Method [J].
Bertrand, Nicolas ;
Sabatier, Jocelyn ;
Briat, Olivier ;
Vinassa, Jean-Michel .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (12) :3991-4000
[3]   Modeling the dynamic behavior of supercapacitors using impedance spectroscopy [J].
Buller, S ;
Karden, E ;
Kok, D ;
De Doncker, RW .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2002, 38 (06) :1622-1626
[4]  
Cantu E., 2000, EFFICIENT ACCURATE P
[5]   Temperature and state-of-charge estimation in ultracapacitors based on extended Kalman filter [J].
Chiang, Chia-Jui ;
Yang, Jing-Long ;
Cheng, Wen-Chin .
JOURNAL OF POWER SOURCES, 2013, 234 :234-243
[6]   Review of characterization methods for supercapacitor modelling [J].
Devillers, Nathalie ;
Jemei, Samir ;
Pera, Marie-Cecile ;
Bienaime, Daniel ;
Gustin, Frederic .
JOURNAL OF POWER SOURCES, 2014, 246 :596-608
[7]   Modeling and adaptive control for supercapacitor in automotive applications based on artificial neural networks [J].
Eddahech, Akram ;
Briat, Olivier ;
Ayadi, Mohamed ;
Vinassa, Jean-Michel .
ELECTRIC POWER SYSTEMS RESEARCH, 2014, 106 :134-141
[8]   Online parameter identification for real-time supercapacitor performance estimation in automotive applications [J].
Eddahech, Akram ;
Ayadi, Mohamed ;
Briat, Olivier ;
Vinassa, Jean-Michel .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 51 :162-167
[9]   Modeling and experimental validation of a Hybridized Energy Storage System for automotive applications [J].
Fiorenti, Simone ;
Guanetti, Jacopo ;
Guezennec, Yann ;
Onori, Simona .
JOURNAL OF POWER SOURCES, 2013, 241 :112-120
[10]   Recursive calibration for a lithium iron phosphate battery for electric vehicles using extended Kalman filtering [J].
Hu, Xiao-song ;
Sun, Feng-chun ;
Cheng, Xi-ming .
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2011, 12 (11) :818-825