TY - JOUR
T1 - The state of charge estimation of lithium-ion batteries based on a proportional-integral observer
AU - Xu, Jun
AU - Mi, Chunting Chris
AU - Cao, Binggang
AU - Deng, Junjun
AU - Chen, Zheng
AU - Li, Siqi
PY - 2014/5
Y1 - 2014/5
N2 - With the development of electric drive vehicles (EDVs), the state-of-charge (SOC) estimation for lithium-ion (Li-ion) batteries has become increasingly more important. Based on the analysis of some of the most popular model-based SOC estimation methods, the proportional-integral (PI) observer is proposed to estimate the SOC of lithium-ion batteries in EDVs. The structure of the proposed PI observer is analyzed, and the convergence of the estimation method with model errors is verified. To demonstrate the superiority and compensation properties of the proposed PI observer, the simple-structure RC battery model is utilized to model the Li-ion battery. To validate the results of the proposed PI-based SOC estimation method, the experimental battery test bench is established. In the validation, the urban dynamometer driving schedule (UDDS) drive cycle is utilized, and the PI-based SOC estimation results are found to agree with the reference SOC, generally within the 2% error band for both the known and unknown initial SOC cases.
AB - With the development of electric drive vehicles (EDVs), the state-of-charge (SOC) estimation for lithium-ion (Li-ion) batteries has become increasingly more important. Based on the analysis of some of the most popular model-based SOC estimation methods, the proportional-integral (PI) observer is proposed to estimate the SOC of lithium-ion batteries in EDVs. The structure of the proposed PI observer is analyzed, and the convergence of the estimation method with model errors is verified. To demonstrate the superiority and compensation properties of the proposed PI observer, the simple-structure RC battery model is utilized to model the Li-ion battery. To validate the results of the proposed PI-based SOC estimation method, the experimental battery test bench is established. In the validation, the urban dynamometer driving schedule (UDDS) drive cycle is utilized, and the PI-based SOC estimation results are found to agree with the reference SOC, generally within the 2% error band for both the known and unknown initial SOC cases.
KW - Battery
KW - Electric vehicle
KW - Lithium-ion (Li-ion) battery
KW - Proportional-integral (PI) observer
KW - Sliding-mode observer
KW - State of charge (SOC)
UR - http://www.scopus.com/inward/record.url?scp=84903637330&partnerID=8YFLogxK
U2 - 10.1109/TVT.2013.2287375
DO - 10.1109/TVT.2013.2287375
M3 - Article
AN - SCOPUS:84903637330
SN - 0018-9545
VL - 63
SP - 1614
EP - 1621
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 4
M1 - 6648470
ER -