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Cited by 30Battery Modeling and ManagementAdvancements in Battery MaterialsControl Systems and Identification

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

State-of-charge estimation based on microcontroller-implemented sigma-point Kalman filter in a modular cell balancing system for Lithium-Ion battery packs

Zhang, Fan, Ur Rehman, M. Muneeb, Wang, Hongjie, Levron, Yoash, Plett, Gregory, Zane, Regan, Maksimovic, Dragan·2015·2015 IEEE 16th Workshop on Control and Modeling for Power Electronics (COMPEL)
DOI 10.1109/compel.2015.7236525
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Abstract

Cell balancing in large battery packs requires accurate state of charge (SOC) estimation for individual cells. This paper presents a low complexity sigma-point Kalman filter to estimate the state-of-charge (SOC) of Lithium-Ion battery cells. The proposed sigma-point Kalman filter is of 1storder, and can be easily implemented on a simple microcontroller around a dc-dc converter in a modular cell balancing system. The approach is verified experimentally on a battery pack containing twenty-one balancing converters and twenty-one 25 Ah Lithium-Ion cells under high-current (up to 100A) cycling.

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Research works printed but not linked: 15

  1. 10.1016/j.jpowsour.2006.06.003 · DOI
  2. 10.1016/j.jpowsour.2006.06.004 · DOI
  3. 10.1109/APEC.2014.6803768 · DOI
  4. muneeb, 2015, Control of a Series-input, Parallel-output Cell Balancing System for Electric Vehicle Battery Packs, COMPEL
  5. 10.1115/1.3662552 · DOI · Paper page
  6. julier, 2004, Unscented filtering and nonlinear estimation, Proceedings of the IEEE, 92, 401, 10.1109/JPROC.2003.823141 · DOI
  7. 10.1016/j.jpowsour.2004.09.020 · DOI · Paper page
  8. 10.1016/S0378-7753(99)00502-9 · DOI
  9. 10.1109/CCA.2008.4629635 · DOI
  10. kim, 2008, Nonlinear state of charge estimator for hybrid electric vehicle battery, IEEE Transaction on Power Electronics, 23, 2027, 10.1109/TPEL.2008.924629 · DOI
  11. 10.1016/j.jpowsour.2004.02.032 · DOI
  12. 10.1016/j.jpowsour.2004.02.032 · DOI
  13. muneeb, 2014, Modular approach for continuous cell-level balancing to improve performance of large battery packs, ECCE, 4327
  14. 10.4271/2001-01-0959 · DOI
  15. 10.1016/j.jpowsour.2004.02.032 · DOI

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Metadata

Authors
Zhang, F., Ur Rehman, M. M., Wang, H., Levron, Y., Plett, G., Zane, R., & Maksimovic, D.
Affiliations
  • University of Colorado Boulder (US)
  • Utah State University (US)
  • Technion – Israel Institute of Technology (IL)
  • University of Colorado Colorado Springs (US)
ORCID
Venue
2015 IEEE 16th Workshop on Control and Modeling for Power Electronics (COMPEL)
Publisher
IEEE
Published
2015-07
Pages
1-7
ISSN
2151-0997 (ISSN-L)
DOI
10.1109/compel.2015.7236525
OpenAlex
W2126663084
Cited by
30
References
1
Citations by year
2026: 1 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 5 · 2020: 1 · 2019: 6 · 2018: 1 · 2017: 4 · 2016: 2
FWCI
3.01
Type
conference paper
Language
en
Open access
closed
Locations
IEEE ... Workshop on Control and Modeling for Power Electronics (publishedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Battery Modeling and Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
Keywords
state of charge estimation, sigma-point Kalman filter, lithium-ion batteries, battery balancing, microcontroller implementation, DC-DC converter, battery pack

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