Real-time Nonlinear Model Predictive Control (NMPC) Strategies using Physics-Based Models for Advanced Lithium-ion Battery Management System (BMS)

Optimal operation of lithium-ion batteries requires robust battery models for advanced battery management systems (ABMS). A nonlinear model predictive control strategy is proposed that directly employs the pseudo-two-dimensional (P2D) model for making predictions. Using robust and efficient model si...

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Veröffentlicht in:Journal of the Electrochemical Society Jg. 167; H. 6
Hauptverfasser: Kolluri, Suryanarayana, Aduru, Sai Varun, Pathak, Manan, Braatz, Richard D., Subramanian, Venkat R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IOP Publishing 06.04.2020
Schlagworte:
advanced battery management systems
lithium-ion batteries
model predictive control
ISSN:0013-4651, 1945-7111
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Abstract Optimal operation of lithium-ion batteries requires robust battery models for advanced battery management systems (ABMS). A nonlinear model predictive control strategy is proposed that directly employs the pseudo-two-dimensional (P2D) model for making predictions. Using robust and efficient model simulation algorithms developed previously, the computational time of the nonlinear model predictive control algorithm is quantified, and the ability to use such models for nonlinear model predictive control for ABMS is established.
AbstractList Optimal operation of lithium-ion batteries requires robust battery models for advanced battery management systems (ABMS). A nonlinear model predictive control strategy is proposed that directly employs the pseudo-two-dimensional (P2D) model for making predictions. Using robust and efficient model simulation algorithms developed previously, the computational time of the nonlinear model predictive control algorithm is quantified, and the ability to use such models for nonlinear model predictive control for ABMS is established.
Author Kolluri, Suryanarayana
Pathak, Manan
Braatz, Richard D.
Aduru, Sai Varun
Subramanian, Venkat R.
Author_xml – sequence: 1
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  givenname: Sai Varun
  surname: Aduru
  fullname: Aduru, Sai Varun
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  givenname: Manan
  surname: Pathak
  fullname: Pathak, Manan
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  givenname: Richard D.
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  surname: Braatz
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  organization: Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States of America
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  givenname: Venkat R.
  orcidid: 0000-0002-2092-9744
  surname: Subramanian
  fullname: Subramanian, Venkat R.
  email: venkat.subramanian@utexas.edu
  organization: BattGenie Inc., Seattle, Washington 98105, United States of America
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Snippet Optimal operation of lithium-ion batteries requires robust battery models for advanced battery management systems (ABMS). A nonlinear model predictive control...
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SubjectTerms advanced battery management systems
lithium-ion batteries
model predictive control
Title Real-time Nonlinear Model Predictive Control (NMPC) Strategies using Physics-Based Models for Advanced Lithium-ion Battery Management System (BMS)
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