### Abstract

A new algorithm for the automatic estimation of an equivalent circuit and the subsequent parameter optimization is developed by combining the data-mining concept and complex least-squares method. In this algorithm, the program generates an initial equivalent-circuit model based on the sampling data and then attempts to optimize the parameters. The basic hypothesis is that the measured impedance spectrum can be reproduced by the sum of the partial-impedance spectra presented by the resistor, inductor, resistor connected in parallel to a capacitor, and resistor connected in parallel to an inductor. The adequacy of the model is determined by using a simple artificial-intelligence function, which is applied to the output function of the Levenberg-Marquardt module. From the iteration of model modifications, the program finds an adequate equivalent-circuit model without any user input to the equivalent-circuit model.

Original language | English |
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Article number | 034004 |

Journal | journal of the physical society of japan |

Volume | 87 |

Issue number | 3 |

DOIs | |

Publication status | Published - 2018 Jan 1 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Physics and Astronomy(all)

### Cite this

**Development of an algorithm for automatic analysis of the impedance spectrum based on a measurement model.** / Kobayashi, Kiyoshi; Suzuki, Tohru.

Research output: Contribution to journal › Article

*journal of the physical society of japan*, vol. 87, no. 3, 034004. https://doi.org/10.7566/JPSJ.87.034004

}

TY - JOUR

T1 - Development of an algorithm for automatic analysis of the impedance spectrum based on a measurement model

AU - Kobayashi, Kiyoshi

AU - Suzuki, Tohru

PY - 2018/1/1

Y1 - 2018/1/1

N2 - A new algorithm for the automatic estimation of an equivalent circuit and the subsequent parameter optimization is developed by combining the data-mining concept and complex least-squares method. In this algorithm, the program generates an initial equivalent-circuit model based on the sampling data and then attempts to optimize the parameters. The basic hypothesis is that the measured impedance spectrum can be reproduced by the sum of the partial-impedance spectra presented by the resistor, inductor, resistor connected in parallel to a capacitor, and resistor connected in parallel to an inductor. The adequacy of the model is determined by using a simple artificial-intelligence function, which is applied to the output function of the Levenberg-Marquardt module. From the iteration of model modifications, the program finds an adequate equivalent-circuit model without any user input to the equivalent-circuit model.

AB - A new algorithm for the automatic estimation of an equivalent circuit and the subsequent parameter optimization is developed by combining the data-mining concept and complex least-squares method. In this algorithm, the program generates an initial equivalent-circuit model based on the sampling data and then attempts to optimize the parameters. The basic hypothesis is that the measured impedance spectrum can be reproduced by the sum of the partial-impedance spectra presented by the resistor, inductor, resistor connected in parallel to a capacitor, and resistor connected in parallel to an inductor. The adequacy of the model is determined by using a simple artificial-intelligence function, which is applied to the output function of the Levenberg-Marquardt module. From the iteration of model modifications, the program finds an adequate equivalent-circuit model without any user input to the equivalent-circuit model.

UR - http://www.scopus.com/inward/record.url?scp=85042615795&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042615795&partnerID=8YFLogxK

U2 - 10.7566/JPSJ.87.034004

DO - 10.7566/JPSJ.87.034004

M3 - Article

AN - SCOPUS:85042615795

VL - 87

JO - Journal of the Physical Society of Japan

JF - Journal of the Physical Society of Japan

SN - 0031-9015

IS - 3

M1 - 034004

ER -