Development of a degradation-conscious physics-based lithium-ion battery model for use in power system planning studies

被引:55
作者
Li, Yang [1 ]
Vilathgamuwa, Mahinda [1 ]
Choi, San Shing [1 ]
Farrell, Troy W. [2 ]
Ngoc Tham Tran [1 ]
Teague, Joseph [2 ]
机构
[1] Queensland Univ Technol, Sch Elect Engn & Comp Sci, 2 George St, Brisbane, Qld 4000, Australia
[2] Queensland Univ Technol, Sch Math Sci, 2 George St, Brisbane, Qld 4000, Australia
基金
澳大利亚研究理事会;
关键词
Lithium-ion battery; Battery energy storage system; Physics-based model; Degradation model; Power system planning studies; ENERGY-STORAGE SYSTEM; WIND POWER; CAPACITY FADE; SIMULATION; NETWORK; FARM; CELL;
D O I
10.1016/j.apenergy.2019.04.143
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A computationally-efficient and reliable method is developed to permit the simultaneous assessment of both the short- and long-term performance of lithium-ion battery in power system planning studies. Toward this end, a physics-based equivalent circuit model of the lithium-ion battery is derived in which side reaction-induced degradation of the battery is included. Whence a computational procedure is developed to enable the parametric values of the circuit elements in the equivalent circuit model to be automatically updated as the battery operates. The resulting model allows the increase in the internal resistance and the decrease in the energy storage capacity of the battery to be determined, based solely on the information of the power flows at the battery terminals. Dynamic simulation results obtained using the developed equivalent circuit model are shown to be in close agreement with those obtained from well-established electrochemical models, but at a much reduced computational burden.
引用
收藏
页码:512 / 525
页数:14
相关论文
共 43 条
[1]  
[Anonymous], 2016, J POWER SOURCES
[2]   Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability [J].
Bai, Linquan ;
Jiang, Tao ;
Li, Fangxing ;
Chen, Houhe ;
Li, Xue .
APPLIED ENERGY, 2018, 210 :1082-1091
[3]   Cost-Optimized Battery Capacity and Short-Term Power Dispatch Control for Wind Farm [J].
Cong-Long Nguyen ;
Lee, Hong-Hee ;
Chun, Tae-Won .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2015, 51 (01) :595-606
[4]   Life Simulation of a Graphite/LiFePO4 Cell under Cycling and Storage [J].
Delacourt, C. ;
Safari, M. .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2012, 159 (08) :A1283-A1291
[5]   Optimisation of size and control of grid-connected storage under real time electricity pricing conditions [J].
Dufo-Lopez, Rodolfo .
APPLIED ENERGY, 2015, 140 :395-408
[6]   Characterization of large format lithium ion battery exposed to extremely high temperature [J].
Feng, Xuning ;
Sun, Jing ;
Ouyang, Minggao ;
He, Xiangming ;
Lu, Languang ;
Han, Xuebing ;
Fang, Mou ;
Peng, Huei .
JOURNAL OF POWER SOURCES, 2014, 272 :457-467
[7]   Development of a physics-based degradation model for lithium ion polymer batteries considering side reactions [J].
Fu, Rujian ;
Choe, Song-Yul ;
Agubra, Victor ;
Fergus, Jeffrey .
JOURNAL OF POWER SOURCES, 2015, 278 :506-521
[8]   On the Suitability of Electrochemical-Based Modeling for Lithium-Ion Batteries [J].
Gu, Ran ;
Malysz, Pawel ;
Yang, Hong ;
Emadi, Ali .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2016, 2 (04) :417-431
[9]   Single-Particle Model for a Lithium-Ion Cell: Thermal Behavior [J].
Guo, Meng ;
Sikha, Godfrey ;
White, Ralph E. .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2011, 158 (02) :A122-A132
[10]   Lithium-Ion Battery Storage for the Grid-A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids [J].
Hesse, Holger C. ;
Schimpe, Michael ;
Kucevic, Daniel ;
Jossen, Andreas .
ENERGIES, 2017, 10 (12)