Development of On-Board PV System Model Using Modelica Language and Its Application to xEV Model
Modelica言語を用いた車載太陽光発電システムモデルの開発とxEVモデルへの適用
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20266014
- Paper/Info type
- Proceedings (Autumn)
No.95-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) 水嶋 教文, 2) 水野 英範 |
|---|---|
| Author(E) | 1) Norifumi Mizushima, 2) Hidenori Mizuno |
| Affiliation(J) | 1) 産業技術総合研究所, 2) 産業技術総合研究所 |
| Affiliation(E) | 1) AIST, 2) AIST |
| Abstract(J) | オフサイクルクレジット制度導入に向け，シャシダイナモ試験では評価が困難な省エネルギー技術による燃費改善効果の定量的な評価手法が求められる．本研究では，車載太陽光発電システムをModelica言語によりモデリングし，産総研の車両シミュレーションモデルに統合することで，燃費改善効果の評価手法を開発した． Translation |
| Abstract(E) | In preparation for the implementation of the off-cycle credit framework, it is essential to establish a quantitative evaluation methodology for assessing the fuel economy improvement achieved by energy-saving technologies whose effects are not adequately captured by conventional chassis dynamometer testing. In this study, an on-board photovoltaic power generation system was modeled using the Modelica language, and the developed model was subsequently integrated into a vehicle simulation model developed at AIST. By performing vehicle-level simulations, the impact of the photovoltaic system on fuel consumption was quantified, thereby allowing for a systematic evaluation of its contribution to real-world fuel economy improvement. |
