Enhanced Lithium-ion battery model considering critical surface charge behavior

被引:37
作者
Xiong, Rui [1 ]
Huang, Jintao [1 ]
Duan, Yanzhou [1 ]
Shen, Weixiang [2 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Dept Vehicle Engn, Beijing 100081, Peoples R China
[2] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Hawthorn, Vic 3122, Australia
基金
中国国家自然科学基金;
关键词
Lithium-ion battery; Equivalent circuit model; Solid-phase diffusion equation; Surface state of charge; EQUIVALENT-CIRCUIT MODELS; MANAGEMENT-SYSTEMS; PART; STATE; IMPEDANCE; PACKS; IDENTIFICATION; ALGORITHMS;
D O I
10.1016/j.apenergy.2022.118915
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
Battery model is the basis of battery efficient and safe management. The widely used equivalent circuit model (ECM) generally shows poor behavior in predicting battery terminal voltage at low sate of charge (SOC), increasing the risk in the urgent use of a battery at low voltage greatly. To model strong nonlinearity of battery open circuit voltage (OCV), a solid-phase diffusion equation based surface SOC is proposed to characterize OCV behavior and establish the new structure of the enhanced ECM to describe low SOC behavior more precisely. Finally, a battery test platform was built to conduct battery tests for model validation. The results show that the root mean square error (RMSE) of the battery terminal voltage obtained from the proposed model at low SOC has been reduced to 8 mV compared with the RMSE of 17 mV from the traditional ECM model. It is expected that the proposed model can be employed in battery management systems to effectively improve the reliability and safety of emergency use of a battery at low SOC.
引用
收藏
页数:12
相关论文
共 55 条
[31]  
Plett GL, 2004, J POWER SOURCES, V134, P277, DOI 10.1016/j jpowsour.2004.02.033
[32]   Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 2: Simultaneous state and parameter estimation [J].
Plett, Gregory L. .
JOURNAL OF POWER SOURCES, 2006, 161 (02) :1369-1384
[33]   Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 1: Introduction and state estimation [J].
Plett, Gregory L. .
JOURNAL OF POWER SOURCES, 2006, 161 (02) :1356-1368
[34]   Comparison of single particle and equivalent circuit analog models for a lithium-ion cell [J].
Rahimian, Saeed Khaleghi ;
Rayman, Sean ;
White, Ralph E. .
JOURNAL OF POWER SOURCES, 2011, 196 (20) :8450-8462
[35]   Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis [J].
Relan, Rishi ;
Firouz, Yousef ;
Timmermans, Jean-Marc ;
Schoukens, Johan .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (05) :1825-1832
[36]  
Relan R, 2016, 2016 INDIAN CONTROL CONFERENCE (ICC), P1, DOI 10.1109/INDIANCC.2016.7441097
[37]   Solid-state diffusion limitations on pulse operation of a lithium ion cell for hybrid electric vehicles [J].
Smith, Kandler ;
Wang, Chao-Yang .
JOURNAL OF POWER SOURCES, 2006, 161 (01) :628-639
[38]  
Song D., 2021, B CHINESE ACAD SCI, V37, P3591
[39]   Hysteresis during cycling of nickel hydroxide active material [J].
Srinivasan, V ;
Weidner, JW ;
Newman, J .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2001, 148 (09) :A969-A980
[40]   Battery management system based on battery nonlinear dynamics modeling [J].
Szumanowski, Antoni ;
Chang, Yuhua .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57 (03) :1425-1432