Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis

@article{Relan2017DataDrivenNI,
  title={Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis},
  author={Rishi Relan and Yousef Firouz and Jean-Marc Timmermans and Johan Schoukens},
  journal={IEEE Transactions on Control Systems Technology},
  year={2017},
  volume={25},
  pages={1825-1832}
}
Lithium ion batteries are attracting significant and growing interest, because their high energy and high power density render them an excellent option for energy storage, particularly in hybrid and electric vehicles. In this brief, a data-driven polynomial nonlinear state-space model is proposed for the operating points at the cusp of linear and nonlinear regimes of the battery’s electrical operation, based on the thorough nonparametric frequency domain characterization and quantification of… CONTINUE READING