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A technique for dynamic battery model identification in automotive applications using linear parameter varying structures

  • Published:2009-10 Issue:10 Volume:17 Page:1190-1201
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Hu Y.,Yurkovich S.,Guezennec Y.,Yurkovich B.J.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference26 articles.

1. Bamieh, B., & Giarre., L. (1999). Identification of linear parameter varying models. In Proceedings of the 38th IEEE conference on decision and control.

2. Impedance spectroscopy theory, experiment, and application;Barsoukov,2005

3. The available capacity computation model based on artificial neural network for lead-acid batteries in electrical vehicles;Chan;Journal of Power Sources,2000

4. Charbonneau, P. (2002). Release notes for PIKAIA 1.2 NCAR technical note 451+STR. Boulder: National Center for Atmospherical Research.

5. Diffusion impedance—an extended general analysis;Dawson;Journal of Electroanalytical Chemistry,1980

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