Parameter Identification for Cells, Modules, Racks, and Battery for Utility-Scale Energy Storage Systems

被引:5
作者
Akeyo, Oluwaseun M. [1 ]
Rallabandi, Vandana [2 ]
Jewell, Nicholas [3 ,4 ]
Patrick, Aron [3 ,4 ]
Ionel, Dan M. [1 ]
机构
[1] Univ Kentucky, Dept Elect & Comp Engn, SPARK Lab, Lexington, KY 40508 USA
[2] GE Res, Niskayuna, NY 12309 USA
[3] Louisville Gas & Elect Co, Louisville, KY 40202 USA
[4] Kentucky Util LG&E & KU, Louisville, KY 40202 USA
关键词
Batteries; State of charge; Integrated circuit modeling; Equivalent circuits; Discharges (electric); Voltage measurement; Battery charge measurement; Battery energy storage systems; equivalent circuit; parameter estimation; racks; modules; cells; sensitivity analysis; thermal runaway; battery management system; LITHIUM-ION BATTERY; MODEL; STATE;
D O I
10.1109/ACCESS.2020.3039198
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The equivalent circuit model for utility-scale battery energy storage systems (BESS) is beneficial for multiple applications including performance evaluation, safety assessments, and the development of accurate models for simulation studies. This paper evaluates and compares the performance of utility-scale equivalent circuit models developed at multiple sub-component levels, i.e. at the rack, module, and cell levels. This type of modeling is used to demonstrate that the equivalent circuit model for a reference cell, module, or rack of a BESS can be scaled to represent the entire battery system provided that the battery management system (BMS) is active and functional. Contrary to the rapid pulse discharge cycles employed in conventional cell parameter estimation approaches, the study proposes a new charge/discharge cycle for identifying the equivalent circuit parameters for utility-scale battery systems using equipment readily available at installation sites without the need for laboratory setups. Furthermore, a sensitivity analysis for classifying and quantifying the effect of each equivalent circuit parameter on the performance of the proposed battery system model was executed. The measurements and simulations are conducted for a 1MW/2MWh BESS testing facility located at the Louisville Gas and Electric and Kentucky Utilities (LG&E and KU) E.W. Brown generating plant. The results indicate that for the example utility-scale battery setup with an active BMS, the equivalent circuit model of either the cell, module, or rack can be scaled to represent the battery system with less than 1% average voltage error.
引用
收藏
页码:215817 / 215826
页数:10
相关论文
共 26 条
[1]  
Akeyo O., 2019, P IEEE POW EN SOC GE, P1
[2]  
Akeyo OM, 2019, IEEE ENER CONV, P2499, DOI [10.1109/ecce.2019.8912233, 10.1109/ECCE.2019.8912233]
[3]  
[Anonymous], 2017, Renewable Energy Devices and Systems with Simulations in MATLAB® and ANSYS®
[4]  
[Anonymous], 2017, EN STOR INT COUNC ES
[5]  
Biswas A, 2018, IEEE TRANSP ELECT C, P1065, DOI 10.1109/ITEC.2018.8450197
[6]   Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model [J].
Bizeray, Adrien M. ;
Kim, Jin-Ho ;
Duncan, Stephen R. ;
Howey, David A. .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2019, 27 (05) :1862-1877
[7]  
Blaabjerg Frede., 2017, Renewable Energy Devices and Systems with Simulations in MATLAB and ANSYS
[8]   A Lithium-Ion Battery Current Estimation Technique Using an Unknown Input Observer [J].
Cambron, Daniel C. ;
Cramer, Aaron M. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (08) :6707-6714
[9]   Adaptive Exploration Harmony Search for Effective Parameter Estimation in an Electrochemical Lithium-Ion Battery Model [J].
Chun, Huiyong ;
Kim, Minho ;
Kim, Jungsoo ;
Kim, Kwangrae ;
Yu, Jungwook ;
Kim, Taegyun ;
Han, Soohee .
IEEE ACCESS, 2019, 7 :131501-131511
[10]   A Comprehensive Algorithm for Estimating Lithium-Ion Battery Parameters From Measurements [J].
Dvorak, Dominik ;
Baeuml, Thomas ;
Holzinger, Alexandra ;
Popp, Hartmut .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) :771-779