Co-Estimation of SoC and SoP Using BiLSTM 


Vol. 46,  No. 2, pp. 314-323, Feb.  2021
10.7840/kics.2021.46.2.314


PDF
  Abstract

This paper proposes a Lithium-ion battery state-of-charge and state-of-power co-estimation algorithm. In states co-estimation algorithm, battery state-of-charge is considered in state-of-power estimation and vice versa. Unlike conventional methods, the proposed method takes into account the effect of the current battery state-of-power in one-step ahead state-of-charge estimation. Since battery states are not directly measurable, a bidirectional long-short term memory model is used to co-estimate the states using the measurable battery parameters (such as voltage and current). The model is trained and tested using Urban Dynamometer Driving Schedule. The results show that the co-estimating battery state-of-charge and state-of-power has higher accuracy (approximately 28.35%) than independent estimation.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. L. Muh, A. C. Caliwag, I. Jeon, W. Lim, "Co-Estimation of SoC and SoP Using BiLSTM," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 2, pp. 314-323, 2021. DOI: 10.7840/kics.2021.46.2.314.

[ACM Style]

Kumbayoni Lalu Muh, Angela C. Caliwag, Il-Soo Jeon, and Wansu Lim. 2021. Co-Estimation of SoC and SoP Using BiLSTM. The Journal of Korean Institute of Communications and Information Sciences, 46, 2, (2021), 314-323. DOI: 10.7840/kics.2021.46.2.314.

[KICS Style]

Kumbayoni Lalu Muh, Angela C. Caliwag, Il-Soo Jeon, Wansu Lim, "Co-Estimation of SoC and SoP Using BiLSTM," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 2, pp. 314-323, 2. 2021. (https://doi.org/10.7840/kics.2021.46.2.314)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880