Online Estimation of Power Capacity with Noise Effect Attenuation for Lithium-Ion Battery

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

18 Scopus Citations
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Author(s)

  • Zhongbao Wei
  • Rui Xiong
  • Guangzhong Dong
  • Josep Pou
  • King Jet Tseng

Detail(s)

Original languageEnglish
Pages (from-to)5724-5735
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume66
Issue number7
Online published31 Oct 2018
Publication statusPublished - Jul 2019

Abstract

Accurate estimation of power capacity is critical to ensure battery safety margins and optimize energy utilization. Power capacity estimators based on online identified equivalent circuit model have been widely investigated due to the high accuracy and affordable computing cost. However, the impact of noise corruption which is common in practice on such estimators has never been investigated. This paper scrutinizes the effect of noises on model identification, state of charge (SOC) and power capacity estimation. An online model identification method based on adaptive forgetting recursive total least squares (AF-RTLS) is proposed to compensate the noise effect and attenuate the identification bias of model parameters. A Luenberger observer is further used in combination with the AF-RTLS to estimate the SOC in real time. Leveraging the estimated model parameters and SOC, a multi-constraint analytical method is proposed to online estimate the power capacity. Simulation and experimental results verify that the proposed method is superior in terms of estimation accuracy and the robustness to noise corruption.

Research Area(s)

  • bias attenuation, lithium-ion battery, model identification, noise, Power capacity

Citation Format(s)

Online Estimation of Power Capacity with Noise Effect Attenuation for Lithium-Ion Battery. / Wei, Zhongbao; Zhao, Jiyun; Xiong, Rui; Dong, Guangzhong; Pou, Josep; Tseng, King Jet.

In: IEEE Transactions on Industrial Electronics, Vol. 66, No. 7, 07.2019, p. 5724-5735.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal