Parameter identification for the electrochemical model of Li-ion battery

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

5 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publication2016 IEEE International Conference on System Science and Engineering, ICSSE 2016
EditorsWJ Wang, PJ Lee, MJ Er, JT Jeng
PublisherIEEE
ISBN (print)9781467389662
Publication statusPublished - 24 Aug 2016

Publication series

NameInternational Conference on System Science and Engineering
PublisherIEEE
ISSN (Print)2325-0925

Conference

Title2016 IEEE International Conference on System Science and Engineering, ICSSE 2016
PlaceTaiwan
CityPuli
Period7 - 9 July 2016

Abstract

This paper aims to put forward a rapid method to optimize the critical parameters and generate more accurate outputs from the nonlinear PDE (Partial Differential Equation) systems. Based on the 2-dimensional uneven potential and current density distribution model of Li-ion battery, by combining the gradient method: the Levenberg-Marquardt method (LM method), and the gradient-free method: Particle Swarm Optimization (PSO), the critical electrical parameters are optimized. The good results verifies that the LM method is a more efficient and accurate algorithm for the parameter optimization of nonlinear systems.

Research Area(s)

  • OPEN-CIRCUIT VOLTAGE, TEMPERATURE, BEHAVIOR, CHARGE, STATE

Citation Format(s)

Parameter identification for the electrochemical model of Li-ion battery. / Shen, Wen-Jing; Li, Han-Xiong.
2016 IEEE International Conference on System Science and Engineering, ICSSE 2016. ed. / WJ Wang; PJ Lee; MJ Er; JT Jeng. IEEE, 2016. 7551635 (International Conference on System Science and Engineering).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review