The state of charge estimation of lithium-ion batteries based on a proportional-integral observer

Jun Xu, Chunting Chris Mi, Binggang Cao, Junjun Deng, Zheng Chen, Siqi Li

Research output: Contribution to journalArticlepeer-review

314 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number6648470
Pages (from-to)1614-1621
Number of pages8
JournalIEEE Transactions on Vehicular Technology
Volume63
Issue number4
DOIs
Publication statusPublished - May 2014
Externally publishedYes

Keywords

  • Battery
  • Electric vehicle
  • Lithium-ion (Li-ion) battery
  • Proportional-integral (PI) observer
  • Sliding-mode observer
  • State of charge (SOC)

Fingerprint

Dive into the research topics of 'The state of charge estimation of lithium-ion batteries based on a proportional-integral observer'. Together they form a unique fingerprint.

Cite this