Model-based electrochemical estimation of lithium-ion batteries

Research output: Chapter in Book/Report/Conference proceedingConference contribution

60 Scopus citations

Abstract

A linear Kalman filter based on a reduced order electrochemical model is designed to estimate internal battery potentials, concentration gradients, and state of charge (SOC) from external current and voltage measurements. The estimates are compared with results from an experimentally validated one-dimensional nonlinear finite volume model of a 6 Ah hybrid electric vehicle battery. The linear filter gives, to within ∼2%, performance in the 30%-70% SOC range, except in the case of severe current pulses that draw electrode surface concentrations to near saturation and depletion; however, the estimates recover as concentration gradients relax. With 4 to 7 states, the filter has low order comparable to empirical equivalent circuit models but provides estimates of the battery's internal electrochemical state.

Original languageEnglish (US)
Title of host publication17th IEEE International Conference on Control Applications, CCA
Pages714-719
Number of pages6
DOIs
StatePublished - Oct 13 2008
Event17th IEEE International Conference on Control Applications, CCA - San Antonio, TX, United States
Duration: Sep 3 2008Sep 5 2008

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other17th IEEE International Conference on Control Applications, CCA
CountryUnited States
CitySan Antonio, TX
Period9/3/089/5/08

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

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