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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2010> 19(4): 416-421
HU Xiao-song, SUN Feng-chun, CHENG Xi-ming. Fuzzy Model for Estimation of the State-of-Charge of Lithium-Ion Batteries for Electric Vehicles[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2010, 19(4): 416-421.
Citation: HU Xiao-song, SUN Feng-chun, CHENG Xi-ming. Fuzzy Model for Estimation of the State-of-Charge of Lithium-Ion Batteries for Electric Vehicles[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2010, 19(4): 416-421.
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Fuzzy Model for Estimation of the State-of-Charge of Lithium-Ion Batteries for Electric Vehicles

  • School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2009-12-14
    Abstract
  • A fuzzy model was established to estimate the state of charge (SOC) of a lithium-ion battery for electric vehicles. The robust Gustafson-Kessel (GK) clustering algorithm based on clustering validity indices was applied to identify the structure and antecedent parameters of the model. The least squares algorithm was utilized to determine the consequent parameters. Validation results show that this model can provide accurate SOC estimation for the lithium-ion battery and satisfy the requirement for practical electric vehicle applications.
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    • References (9)
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