A Modified Luenberger Observer for SOC Estimation of Lithium-Ion Battery
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- 英文论文题名：A Modified Luenberger Observer for SOC Estimation of Lithium-Ion Battery
- 论文作者：Ting He ; Donghai Li ; Zhenlong Wu ; Yali Xue ; Yuxin Yang
- 英文论文作者：Ting He ; Donghai Li ; Zhenlong Wu ; Yali Xue ; Yuxin Yang ; State Key Lab of Power Systems ; Department of Thermal Engineering ; Tsinghua University
- 年：2017
- 作者机构：State Key Lab of Power Systems,Department of Thermal Engineering,Tsinghua University;
- 英文论文关键词：State of Charge ; Modified Luenberger Observer ; Monte Carlo Method ; Sensitivity Analysis
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（A）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
- 语种：英文
- 分类号：TM912
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：5
- 文件大小：287k
- 原文格式：D
- 会议级别：全国
摘要
State of Charge(SOC) estimation has always been a key issue in the Battery Management System(BMS).This paper proposes a simple modified Luenberger observer to estimate the state of charge of the lithium-ion battery.Nonlinearity of battery equivalent circuit model is approximated at each step.Simulation results show that this simple modified Luenberger observer achieves satisfactory estimation accuracy,while still remains the advantage of low computational complexity.The robustness of this proposed estimation algorithm is demonstrated by Monte-Carlo method,and the estimation output sensitivity to model parameters variations is also revealed through sensitivity analysis.
State of Charge(SOC) estimation has always been a key issue in the Battery Management System(BMS).This paper proposes a simple modified Luenberger observer to estimate the state of charge of the lithium-ion battery.Nonlinearity of battery equivalent circuit model is approximated at each step.Simulation results show that this simple modified Luenberger observer achieves satisfactory estimation accuracy,while still remains the advantage of low computational complexity.The robustness of this proposed estimation algorithm is demonstrated by Monte-Carlo method,and the estimation output sensitivity to model parameters variations is also revealed through sensitivity analysis.
State of Charge(SOC) estimation has always been a key issue in the Battery Management System(BMS).This paper proposes a simple modified Luenberger observer to estimate the state of charge of the lithium-ion battery.Nonlinearity of battery equivalent circuit model is approximated at each step.Simulation results show that this simple modified Luenberger observer achieves satisfactory estimation accuracy,while still remains the advantage of low computational complexity.The robustness of this proposed estimation algorithm is demonstrated by Monte-Carlo method,and the estimation output sensitivity to model parameters variations is also revealed through sensitivity analysis.
引文
[1]S.Piller,M.Perrin,and A.Jossen,Methods for state-of-charge determination and their applications.Journal of Power Sources,1:113-20,2001.
[2]M.Petzl,and M.Danzer,Advancements in OCV measurement and analysis for lithium-ion batteries,IEEE Transaction on Energy Conversion,28:675-81,2013.
[3]J.Li,J.K.Brillas,Günther C,and M.A.Danzer,A comparative study of state of charge estimation algorithms for LiFePO_4 batteries used in electric vehicles,Journal of Power Sources,230:244-50,2013.
[4]C.Unterrieder,R.Priewasser,S.Marsili,and M.Huemer,Battery state estimation using mixed Kalman/H,adaptive Luenberger and sliding mode observer,in Proceedings of Vehicle power and propulsion conference(VPPC),IEEE,2013:1-6.
[5]G.L.Plett,Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs:Part1.Background,Journal of Power Source,134(12):252-261,2004.
[6]G.L.Plett,Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs:Part1-2,Journal of Power Sources,161:1356-84,2006.
[7]I.S.Kim,The novel state of charge estimation method for lithium battery using sliding mode observer,Journal of Power Sources,163(1):584-590,2006.
[8]D.D.Domenico,G.Fiengo,and A.Stefanopoulou,Lithium-ion battery state of charge estimation with a Kalman Filter based on a electrochemical model,in Proceedings of International Conference on Control Applications,IEEE,2008:702-707.
[9]E.Prada,D.D.Domenico,Y.Creff,J.Bernard,V.S.Moynot,and F.Huet,Simplified electrochemical and thermal model of LiFePO4-graphite Li-ion batteries for fast charge applications,Journal of The Electrochemical Society,159(9):1508-1519,2012.
[10]Raistrick I.D.,Huggins R.A.Application of AC technique to the study of lithium diffusion in tungsten trioxide thin films,Journal of Electrochemical Society,127(2):343-350,1980.
[11]X.Hu,S.Li,and H.Peng,A comparative study of equivalent circuit models for Li-ion batteries,Journal of Power Source,198:359-367,2012
[12]S.Zhao,S.R.Duncan,D.A.Howey,Observability analysis and state estimation of Lithium-Ion batteries in the presence of sensor biases,IEEE Transaction on control system technology,25(1):326-333,2017.
[13]G.Hunt,USABC Electric Vehicle Battery Test Procedures Manual,Ed:Rev,1996.
[14]J.K.Barillas,J.Li,C.Gunther,and M.A.Danzer,A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems,Applied Energy,155:455-462,2015.
[15]B.Ning,J.Xu,B.Cao,B.Wang,and G.Xu,A sliding Mode Observer SOC estimation method based on parameter adaptive battery model,Energy Procedia,88:619-626,2016.
[16]J.Xie,J.Ma,Y,Sun,and Z.Li,Estimating the state-of-charge of lithium-ion batteries using an h-infinity observer with consideration of the hysteresis characteristic,Journal of Power Electronics,16(2):643-653,2016.
[17]C.Xia,S.Zhang,and H.Sun,A strategy of estimating state of charge based on extended Kalman filter,Chinese Journal of Power Sources,31(5):414-417,2007.
[18]S.Zhao,D.A.Howey,Global sensitivity analysis of battery equivalent circuit model parameters,in Proceedings of Vehicle Power and Propulsion Conference(VPPC),IEEE,2016:1-4.
[2]M.Petzl,and M.Danzer,Advancements in OCV measurement and analysis for lithium-ion batteries,IEEE Transaction on Energy Conversion,28:675-81,2013.
[3]J.Li,J.K.Brillas,Günther C,and M.A.Danzer,A comparative study of state of charge estimation algorithms for LiFePO_4 batteries used in electric vehicles,Journal of Power Sources,230:244-50,2013.
[4]C.Unterrieder,R.Priewasser,S.Marsili,and M.Huemer,Battery state estimation using mixed Kalman/H,adaptive Luenberger and sliding mode observer,in Proceedings of Vehicle power and propulsion conference(VPPC),IEEE,2013:1-6.
[5]G.L.Plett,Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs:Part1.Background,Journal of Power Source,134(12):252-261,2004.
[6]G.L.Plett,Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs:Part1-2,Journal of Power Sources,161:1356-84,2006.
[7]I.S.Kim,The novel state of charge estimation method for lithium battery using sliding mode observer,Journal of Power Sources,163(1):584-590,2006.
[8]D.D.Domenico,G.Fiengo,and A.Stefanopoulou,Lithium-ion battery state of charge estimation with a Kalman Filter based on a electrochemical model,in Proceedings of International Conference on Control Applications,IEEE,2008:702-707.
[9]E.Prada,D.D.Domenico,Y.Creff,J.Bernard,V.S.Moynot,and F.Huet,Simplified electrochemical and thermal model of LiFePO4-graphite Li-ion batteries for fast charge applications,Journal of The Electrochemical Society,159(9):1508-1519,2012.
[10]Raistrick I.D.,Huggins R.A.Application of AC technique to the study of lithium diffusion in tungsten trioxide thin films,Journal of Electrochemical Society,127(2):343-350,1980.
[11]X.Hu,S.Li,and H.Peng,A comparative study of equivalent circuit models for Li-ion batteries,Journal of Power Source,198:359-367,2012
[12]S.Zhao,S.R.Duncan,D.A.Howey,Observability analysis and state estimation of Lithium-Ion batteries in the presence of sensor biases,IEEE Transaction on control system technology,25(1):326-333,2017.
[13]G.Hunt,USABC Electric Vehicle Battery Test Procedures Manual,Ed:Rev,1996.
[14]J.K.Barillas,J.Li,C.Gunther,and M.A.Danzer,A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems,Applied Energy,155:455-462,2015.
[15]B.Ning,J.Xu,B.Cao,B.Wang,and G.Xu,A sliding Mode Observer SOC estimation method based on parameter adaptive battery model,Energy Procedia,88:619-626,2016.
[16]J.Xie,J.Ma,Y,Sun,and Z.Li,Estimating the state-of-charge of lithium-ion batteries using an h-infinity observer with consideration of the hysteresis characteristic,Journal of Power Electronics,16(2):643-653,2016.
[17]C.Xia,S.Zhang,and H.Sun,A strategy of estimating state of charge based on extended Kalman filter,Chinese Journal of Power Sources,31(5):414-417,2007.
[18]S.Zhao,D.A.Howey,Global sensitivity analysis of battery equivalent circuit model parameters,in Proceedings of Vehicle Power and Propulsion Conference(VPPC),IEEE,2016:1-4.