Skip to main content
Top

2023 | OriginalPaper | Chapter

A Novel SOC Estimation Approach for the Lithium-Ion Battery Pack Using in the Deep Space Landers

Authors : Hao Mu, Zhigang Liu, Wang Jing, Dong Yang

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Lithium-ion battery pack has been widely implemented in the spacecraft as the crucial energy supplying unit to accomplish the exploration task of deep space landers. State of charge is a key index to indicate the present available capacity of the battery pack, which barely can be measured by precision instruments due to the nonlinearity and time variation of the battery. In this paper, a model-based method is studied to estimate the SOC of the battery pack. It is demonstrated to be effective by actual operating cycles with the accuracy under 3% estimation errors.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Naguib, M., Kollmeyer, P., Emadi, A.: Lithium-ion battery pack robust state of charge estimation, cell inconsistency, and balancing: review. IEEE Access 9, 50570–50582 (2021) Naguib, M., Kollmeyer, P., Emadi, A.: Lithium-ion battery pack robust state of charge estimation, cell inconsistency, and balancing: review. IEEE Access 9, 50570–50582 (2021)
2.
go back to reference Park, J., Kim, G., Lee, P.Y., et al.: Sensor fusion-based cell-to-cell inhomogeneity reflection for accurate SOC estimation of the serial/parallel battery pack. In: IEEE International Future Energy Electronics Conference Park, J., Kim, G., Lee, P.Y., et al.: Sensor fusion-based cell-to-cell inhomogeneity reflection for accurate SOC estimation of the serial/parallel battery pack. In: IEEE International Future Energy Electronics Conference
3.
go back to reference Shrivastava, P., Soon, T.K., Idris, M., et al.: Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries. Renew. Sustain. Energy Rev. 113, 109233 (2019) Shrivastava, P., Soon, T.K., Idris, M., et al.: Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries. Renew. Sustain. Energy Rev. 113, 109233 (2019)
4.
go back to reference Almeida, G., Souza, A., Ribeiro, P.F.: A neural network application for a lithium-ion battery pack state-of-charge estimator with enhanced accuracy (2020) Almeida, G., Souza, A., Ribeiro, P.F.: A neural network application for a lithium-ion battery pack state-of-charge estimator with enhanced accuracy (2020)
5.
go back to reference Zhang, Z., Jiang, L., Zhang, L., et al.: State-of-charge estimation of lithium-ion battery pack by using an adaptive extended Kalman filter for electric vehicles. J. Energy Storage 37 (2021) Zhang, Z., Jiang, L., Zhang, L., et al.: State-of-charge estimation of lithium-ion battery pack by using an adaptive extended Kalman filter for electric vehicles. J. Energy Storage 37 (2021)
6.
go back to reference Liu, S., Wang, J., Liu, Q., et al.: A novel discharge mode identification method for series-connected battery pack online state-of-charge estimation over a wide life scale. IEEE Trans. Power Electron. 36(1), 326–341 (2020)CrossRef Liu, S., Wang, J., Liu, Q., et al.: A novel discharge mode identification method for series-connected battery pack online state-of-charge estimation over a wide life scale. IEEE Trans. Power Electron. 36(1), 326–341 (2020)CrossRef
Metadata
Title
A Novel SOC Estimation Approach for the Lithium-Ion Battery Pack Using in the Deep Space Landers
Authors
Hao Mu
Zhigang Liu
Wang Jing
Dong Yang
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3387-5_101