Modeling and Deterioration Diagnosis of Catalyst for Automobile Exhaust Gas by On-Line Identification Method With Variable Forgetting Factor

• Okada Yasushi

  Utsunomiya University

• Okuda Hiroyuki

  Utsunomiya University

• Adachi Shuichi

  Keio University

• Niwa Shinji

  Daihatsu Motor Co., Ltd.

• Kajitani Mitsunobu

  Daihatsu Motor Co., Ltd.

• Hashimoto Seiji

  Gunma University

Bibliographic Information

Other Title

• 可変忘却要素を用いたオンライン同定法による自動車排出ガス用触媒のモデリングと劣化診断
• カヘン ボウキャク ヨウソ オ モチイタ オンライン ドウテイホウ ニ ヨル ジドウシャ ハイシュツ ガスヨウ ショクバイ ノ モデリング ト レッカ シンダン

Abstract

The majority of the conventional system purifying exhaust gas is composed of a three-way catalyst and an electronic fuel injection. However, harmful pollutants are increasingly emitted when the catalyst becomes aged. Therefore, it is necessary to detect the deterioration of the catalyst by means of on board diagnosis. In this paper, we propose a diagnosis method of the aged catalyst using recursive system identification method with variable forgetting factor. We focus on the parameter of identified model which represents a characteristic of the catalyst, and possibility to describe the diagnosis of the aged catalyst.

Journal

• IEEJ Transactions on Industry Applications

  IEEJ Transactions on Industry Applications 126 (12), 1637-1644, 2006

  The Institute of Electrical Engineers of Japan

Keywords

• catalyst
• deterioration diagnosis
• system identification
• variable forgetting factor
• recursive least squares method

Details

• CRID: 1390001204659628544
• NII Article ID: 10018402700
• NII Book ID: AN10012320
• DOI: 10.1541/ieejias.126.1637
• ISSN: 13488163
• ISSN: 09136339
• NDL BIB ID: 8593140
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8593140
• Web Site: https://www.jstage.jst.go.jp/article/ieejias/126/12/126_12_1637/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed