Building equivalent circuit models of lithium-ion battery by means of genetic programming

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  title =        "Building equivalent circuit models of lithium-ion
                 battery by means of genetic programming",
  author =       "Li Zhao and Wan-Ke Cao and Yu-Tao He",
  journal =      "Int. J. of Wireless and Mobile Computing",
  year =         "2014",
  month =        oct # "~31",
  volume =       "7",
  number =       "3",
  pages =        "275--281",
  keywords =     "genetic algorithms, genetic programming, equivalent
                 circuit models, SOC, state of charge, lithium-ion
                 batteries, battery system design, battery modelling,
                 electric vehicles, model-based state estimation",
  ISSN =         "1741-1092",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  publisher =    "Inderscience Publishers",
  URL =          "",
  DOI =          "DOI:10.1504/IJWMC.2014.062005",
  abstract =     "In the process of battery system design and operation,
                 accurate battery modelling is a key factor. Generally
                 speaking, the electric characteristics of a given
                 battery cell are necessary for a designer to build an
                 equivalent circuit model. The equivalent circuit design
                 entails the creation of both the sizing of components
                 used in the circuit and the topology. So, it is very
                 hard to build an accurate battery model for electric
                 vehicles. This paper presents a single method to design
                 an accurate equivalent circuit by computer
                 automatically. The obtained model enables the
                 assessment of the cells' state of charge (SOC)
                 precisely using model-based state estimation

Genetic Programming entries for Li Zhao Wan-Ke Cao Yu-Tao He