Simultaneous state of charge and parameter estimation of lithium-ion battery using log-normalized unscented Kalman Filter

Atsushi Baba, Shuichi Adachi

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

9 Citations (Scopus)

Abstract

This paper discusses the simultaneous state of charge (SOC) and parameter estimation of the battery for electric vehicles (EVs) and hybrid electric vehicles (HEVs). Although it is important to know the SOC and parameters of the battery to maximize its longevity, performance and reliability, there are still some difficulties in estimating them. The estimation often suffers from the battery model complexity, the poor numerical stability, and the constraints of the physical parameters of the battery. To address such issues, this paper proposes a simultaneous SOC and parameter estimation method using log-normalized UKF (LnUKF) cooperated with the battery model considering diffusion phenomena. This approach is verified by performing a series of simulations using experimental data with an EV.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages311-316
Number of pages6
Volume2015-July
ISBN (Print)9781479986842
DOIs
Publication statusPublished - 2015 Jul 28
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: 2015 Jul 12015 Jul 3

Other

Other2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period15/7/115/7/3

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Baba, A., & Adachi, S. (2015). Simultaneous state of charge and parameter estimation of lithium-ion battery using log-normalized unscented Kalman Filter. In Proceedings of the American Control Conference (Vol. 2015-July, pp. 311-316). [7170754] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7170754