### Abstract

In order to measure the local current density generated in a polymer electrolyte fuel cell (PEFC), nuclear magnetic resonance (NMR) signals were acquired by a coil inserted in a PEFC with a power generation area of 50 mm × 50 mm. Eight small planar surface coils with inner diameters of 0.6 mm were inserted between the gas diffusion layer and the membrane electrode assembly of the fuel cell. Changes in the frequency of the NMR signals due to local currents generated in the PEFC were recorded and analysed. To compute the spatial distribution of these local currents from the measured frequency shifts, it is necessary to use an inversion analysis based on the Biot-Savart law, which connects current and magnetic field strength. An algorithm developed in this study was used to quickly minimize the difference between the frequency shift calculated from an assumed current distribution and that measured experimentally. The algorithm uses the dependence of frequency shift on local current based on the equations of electricity and magnetism. In this paper we describe the derivation of the proportionality relation and the inversion algorithm. The computation time required for the inversion using the developed algorithm was a few tens of seconds. Using the developed algorithm, the spatial distribution of local current density generated in the PEFC was analysed.

Original language | English |
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Title of host publication | Proceedings of the 15th International Heat Transfer Conference, IHTC 2014 |

Publisher | Begell House Inc. |

Publication status | Published - 2014 |

Event | 15th International Heat Transfer Conference, IHTC 2014 - Kyoto, Japan Duration: 2014 Aug 10 → 2014 Aug 15 |

### Other

Other | 15th International Heat Transfer Conference, IHTC 2014 |
---|---|

Country | Japan |

City | Kyoto |

Period | 14/8/10 → 14/8/15 |

### Fingerprint

### Keywords

- Current monitoring
- Fuel cell
- Inversion analysis method
- Nuclear magnetic resonance

### ASJC Scopus subject areas

- Mechanical Engineering
- Condensed Matter Physics

### Cite this

*Proceedings of the 15th International Heat Transfer Conference, IHTC 2014*Begell House Inc..

**Method to analyze the spatial current distribution in an operating PEFC based on NMR mesurement using small planer surface coils.** / Ogawa, Kuniyasu; Yokouchi, Yasuo; Haishi, Tomoyuki; Ito, Kohei.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the 15th International Heat Transfer Conference, IHTC 2014.*Begell House Inc., 15th International Heat Transfer Conference, IHTC 2014, Kyoto, Japan, 14/8/10.

}

TY - GEN

T1 - Method to analyze the spatial current distribution in an operating PEFC based on NMR mesurement using small planer surface coils

AU - Ogawa, Kuniyasu

AU - Yokouchi, Yasuo

AU - Haishi, Tomoyuki

AU - Ito, Kohei

PY - 2014

Y1 - 2014

N2 - In order to measure the local current density generated in a polymer electrolyte fuel cell (PEFC), nuclear magnetic resonance (NMR) signals were acquired by a coil inserted in a PEFC with a power generation area of 50 mm × 50 mm. Eight small planar surface coils with inner diameters of 0.6 mm were inserted between the gas diffusion layer and the membrane electrode assembly of the fuel cell. Changes in the frequency of the NMR signals due to local currents generated in the PEFC were recorded and analysed. To compute the spatial distribution of these local currents from the measured frequency shifts, it is necessary to use an inversion analysis based on the Biot-Savart law, which connects current and magnetic field strength. An algorithm developed in this study was used to quickly minimize the difference between the frequency shift calculated from an assumed current distribution and that measured experimentally. The algorithm uses the dependence of frequency shift on local current based on the equations of electricity and magnetism. In this paper we describe the derivation of the proportionality relation and the inversion algorithm. The computation time required for the inversion using the developed algorithm was a few tens of seconds. Using the developed algorithm, the spatial distribution of local current density generated in the PEFC was analysed.

AB - In order to measure the local current density generated in a polymer electrolyte fuel cell (PEFC), nuclear magnetic resonance (NMR) signals were acquired by a coil inserted in a PEFC with a power generation area of 50 mm × 50 mm. Eight small planar surface coils with inner diameters of 0.6 mm were inserted between the gas diffusion layer and the membrane electrode assembly of the fuel cell. Changes in the frequency of the NMR signals due to local currents generated in the PEFC were recorded and analysed. To compute the spatial distribution of these local currents from the measured frequency shifts, it is necessary to use an inversion analysis based on the Biot-Savart law, which connects current and magnetic field strength. An algorithm developed in this study was used to quickly minimize the difference between the frequency shift calculated from an assumed current distribution and that measured experimentally. The algorithm uses the dependence of frequency shift on local current based on the equations of electricity and magnetism. In this paper we describe the derivation of the proportionality relation and the inversion algorithm. The computation time required for the inversion using the developed algorithm was a few tens of seconds. Using the developed algorithm, the spatial distribution of local current density generated in the PEFC was analysed.

KW - Current monitoring

KW - Fuel cell

KW - Inversion analysis method

KW - Nuclear magnetic resonance

UR - http://www.scopus.com/inward/record.url?scp=84964452162&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964452162&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84964452162

BT - Proceedings of the 15th International Heat Transfer Conference, IHTC 2014

PB - Begell House Inc.

ER -