Artificial Neural-Network Aided Model-Parameter Identification for Zero-Dimensional Radiator Heat Balance Models

A numerical procedure using an artificial neural network (ANN) has been developed to identify the model parameters of 0-dimensional radiator heat balance models. This model parameter identification method includes two steps as follows. The first step is an ANN learning step. The second step is a computational analysis step to identify the model parameters using learned ANN. The model parameters to be identified are radiator-water thermal conductance as a function of water flow rate, radiator-air thermal conductance as a function of air velocity, and radiator heat capacity as a constant. The validation results indicate that the present method can be applied to identify model parameters.

• Record URL:
  https://doi.org/10.11351/jsaeronbun.54.181
• Record URL:
  https://www.jstage.jst.go.jp/article/jsaeronbun/54/1/54_20234029/_pdf
• 
• Record URL:
  https://scholar.google.com/scholar_lookup?title=Artificial%20Neural-Network%20Aided%20Model-Parameter%20Identification%20for%20Zero-Dimensional%20Radiator%20Heat%20Balance%20Models&author=T.%20Shimamura&author=T.%20Miyamoto&author=T.%20Kuboyama&author=Y.%20Moriyoshi&publication_year=2023
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
• Authors:
  • Shimamura, Takeshi
  • Miyamoto, Takeshi
  • Kuboyama, Tatsuya
  • Moriyoshi, Yasuo
• Publication Date: 2023-1

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 181-186
• Serial:
  • Transactions of Society of Automotive Engineers of Japan
  • Volume: 54
  • Issue Number: 1
  • Publisher: Society of Automotive Engineers of Japan
  • ISSN: 0287-8321
  • EISSN: 1883-0811
  • Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Heat balance; Machine learning; Mathematical models; Neural networks; Radiators; Validation
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01876872
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Mar 23 2023 10:20AM