モデルベース開発のためのエネルギー検証自動化とモデリングガイドライン

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2020/09/01

タイトル(英語): On The Energy-Based Auto-Verification and Modeling Guideline for Model Based Development

著者名: 佐倉　衛（電気通信大学情報理工学研究科），澤田　賢治（電気通信大学i-パワードエネルギー・システム研究センター），金子　修（電気通信大学情報理工学研究科），新　誠一（電気通信大学情報理工学研究科），松田　功（ガイオ・テクノロジー（株） 技術開発本部）

著者名(英語): Mamoru Sakura (Faculty of Informatics and Engineering, University of Electro-Communications), Kenji Sawada (Info-Powered Energy System Research Center, University of Electro-Communications), Osamu Kaneko (Faculty of Informatics and Engineering, University of Electro-Communications), Seiichi Shin (Faculty of Informatics and Engineering, University of Electro-Communications), Isao Matsuda (Technology Development Div., GAIO TECHNOLOGY Co., Ltd.)

キーワード: モデル検証，複合物理領域モデル，モデルベース開発，複数のCAE環境，自動検証　　Model verification，Multiple-physics model，Model based development (MBD)，Multiple-CAE，Auto-verification

要約(英語): In model-based development in the automotive industry, functional tests are performed using models made by CAE tools. The model needs to reproduce some physical properties of the target system correctly. The previous research of the current authors proposes energy balanced based verification (EBBV) that verifies the correctness of the model focused on the energy conservation law. EBBV confirms the balance of input and output energy of the model from output information of the model. In this paper, we develop three tools to automate EBBV processes. Also, we make a modeling guideline suitable for EBBV, which is composed of tagging and a hierarchical model structure. Through numerical experiments, we check that three tools automate EBBV processes for models according to the modeling guideline. The target model of the experiments is a mild hybrid electric vehicle model made by MATLAB/Simulink, MapleSim, and CarMaker.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.9 （2020）

本誌掲載ページ: 1064-1073 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/9/140_1064/_article/-char/ja/