Advanced tracking strategies for charging electric vehicle batteries

Murtaza Kamal Pasha Khan, D. Subbaram Naidu, Ona Egbue

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

Abstract

Challenges and opportunities of integrating electric vehicles (EV) with an electric grid have been of great interest for the past few years. In order to integrate with an electric grid, a battery model of the EV should have adequate control mechanisms. In this paper, we consider a nonlinear model of a 2-RC battery. For optimal tracking of a reference terminal voltage, a closed-loop optimal control strategy is obtained by using the State-Dependent Riccati Equation (SDRE) technique with performance index to minimize the quadratic error between the reference and actual trajectories. Simulation results with a lithium-ion (li-ion) battery shows good tracking performance.

Original languageEnglish (US)
Title of host publication2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131030
DOIs
StatePublished - Feb 2020
Externally publishedYes
Event2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States
Duration: Feb 17 2020Feb 20 2020

Publication series

Name2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

Conference

Conference2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
CountryUnited States
CityWashington
Period2/17/202/20/20

Bibliographical note

Funding Information:
This paper is based upon work supported by the National Science Foundation under Grant Number 171167

Keywords

  • Charging
  • Closed-loop optimal control
  • Nonlinear EV battery model
  • State dependent Riccati equation (SDRE)

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