Patents by Inventor Sibing QIAO

Sibing QIAO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11474159
    Abstract: A battery State of Health estimation method based on a standard sample and a dual-embedded decoupling includes the steps of extracting significant characteristic peaks of the standard sample, mechanism parameter calibration of the standard sample, and on-line State of Health estimation of the test battery. The battery State of Health estimation method expounds the dual coupling relationship between temperature and aging on the characteristic peak voltage of Incremental Capacity curve from the perspective of impedance characteristic mechanism analysis, and proposes a method eliminating the voltage deviation caused by the most temperature-sensitive charge transfer resistance based on the “standard sample” to realize the decoupling of the first layer.
    Type: Grant
    Filed: January 10, 2022
    Date of Patent: October 18, 2022
    Assignee: JIANGSU UNIVERSITY
    Inventors: Limei Wang, Sibing Qiao, Xiuliang Zhao, Dong Lu, Ruochen Wang, Ying Xu, Ying Zhang, Chaofeng Pan, Zhigang He, Yingfeng Cai, Long Chen
  • Patent number: 11442113
    Abstract: An on-line State of Health estimation method of a battery in a wide temperature range based on “standardized temperature” includes: calculating battery Incremental Capacity curve of a battery, establishing a quantitative relationship between the voltage shift of the temperature-sensitive feature point and the temperature of a standard battery, standardized transformation of Incremental Capacity curves at different temperatures, establishing a quantitative relationship between the transformed height of the capacity-sensitive feature point and the State of Health based on a BOX-COX transformation. The BOX-COX transformation is expressed as y k ( ? ) = { y k ? - 1 ? ? ? 0 ln ? ? y k ? = 0 . An maximum likelihood function is used to calculate the optimal ?, and the transformed height of the capacity-sensitive feature point y can be acquired.
    Type: Grant
    Filed: January 5, 2021
    Date of Patent: September 13, 2022
    Assignee: JIANGSU UNIVERSITY
    Inventors: Limei Wang, Dong Lu, Xiuliang Zhao, Sibing Qiao, Ying Xu, Chaofeng Pan
  • Publication number: 20220236335
    Abstract: A battery State of Health estimation method based on a standard sample and a dual-embedded decoupling includes the steps of extracting significant characteristic peaks of the standard sample, mechanism parameter calibration of the standard sample, and on-line State of Health estimation of the test battery. The battery State of Health estimation method expounds the dual coupling relationship between temperature and aging on the characteristic peak voltage of Incremental Capacity curve from the perspective of impedance characteristic mechanism analysis, and proposes a method eliminating the voltage deviation caused by the most temperature-sensitive charge transfer resistance based on the “standard sample” to realize the decoupling of the first layer.
    Type: Application
    Filed: January 10, 2022
    Publication date: July 28, 2022
    Applicant: JIANGSU UNIVERSITY
    Inventors: Limei WANG, Sibing QIAO, Xiuliang ZHAO, Dong LU, Ruochen WANG, Ying XU, Ying ZHANG, Chaofeng PAN, Zhigang HE, Yingfeng CAI, Long CHEN
  • Publication number: 20220146591
    Abstract: An on-line State of Health estimation method of a battery in a wide temperature range based on “standardized temperature” includes: calculating battery Incremental Capacity curve of a battery, establishing a quantitative relationship between the voltage shift of the temperature-sensitive feature point and the temperature of a standard battery, standardized transformation of Incremental Capacity curves at different temperatures, establishing a quantitative relationship between the transformed height of the capacity-sensitive feature point and the State of Health based on a BOX-COX transformation. The BOX-COX transformation is expressed as y k ( ? ) = { y k ? - 1 ? ? ? 0 ln ? ? y k ? = 0 . An maximum likelihood function is used to calculate the optimal ?, and the transformed height of the capacity-sensitive feature point y can be acquired.
    Type: Application
    Filed: January 5, 2021
    Publication date: May 12, 2022
    Applicant: JIANGSU UNIVERSITY
    Inventors: Limei WANG, Dong LU, Xiuliang ZHAO, Sibing QIAO, Ying XU, Chaofeng PAN