Computationally Efficient Dual Mode Model Predictive Control to Ensure Safe Charging of Lithium-Ion Batteries

Suchita Undare, Kiana Karami, M. Scott Trimboli

Research output: Contribution to journalArticlepeer-review

Abstract

Model predictive control (MPC) has emerged as a promising strategy for the control of lithium-ion batteries due mainly to its capability for real-time constraint handling. However, classical implementations of MPC cannot guarantee stability, thus limiting its practical application. In addition, classical linear MPC relies on the computation of a constrained quadratic program at every time step, the computation of which may become burdensome when long horizons and numerous constraints are involved. The present paper applies a "dual mode"variation of MPC which reduces the necessity of implementing a quadratic program and provides assured stability of operation, at the cost of introducing a degree of conservatism.

Original languageEnglish (US)
Pages (from-to)3093-3098
Number of pages6
JournalIEEE Control Systems Letters
Volume8
DOIs
StatePublished - 2024

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Computationally Efficient Dual Mode Model Predictive Control to Ensure Safe Charging of Lithium-Ion Batteries'. Together they form a unique fingerprint.

Cite this