Hysteresis Modeling of Lithium–Silicon Half Cells Using Krasnosel’skii-Pokrovskii Model

Pornpimon Chayratsami1, Gregory L. Plett2

  • 1King Mongkut's Institute of Technology Ladkrabang
  • 2University of Colorado Colorado Springs

Details

10:50 - 11:10 | Tue 20 August | Lau, 5-205 | TuA3.2

Session: Energy Storage

Category: Regular Session

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Abstract

Unmodeled battery-cell voltage hysteresis can cause state-of-charge (SOC) estimation error in a battery-management system (BMS) of an EV system. To improve BMS performance, hysteresis voltage must be modeled correctly. This paper presents the use of linear least-squares identification of a Krasnosel’skii-Pokrovskii (KP) model to estimate hysteresis for a Li//Si half cell. We find that the KP model provides good estimates and has lower root-mean-squared estimation error than a classical discrete Preisach model with the same degree of discretization.