Energy Flow Control for Hybrid Electric Vehicle Based on the Energy Optimal Control Theory (Third Report) For the Case of Position Control
エネルギー最適制御理論に基づくハイブリッド電気自動車のエネルギーフロー制御（第3報） 位置制御を行う場合
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20115325
- Paper/Info type
- Proceedings (Spring)
No.31-11
- Pages
- 19-24(Total 6 p)
- Date of publication
- May 2011
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Author(J) | 1) 内田 博志, 2) 福島 直人, 3) 萩原 一郎 |
|---|---|
| Author(E) | 1) Hiroshi Uchida, 2) Naoto Fukushima, 3) Ichiro Hagiwara |
| Affiliation(J) | 1) 東京工業大学, 2) 東京工業大学, 3) 東京工業大学 |
| Affiliation(E) | 1) Tokyo Institute of Technology, 2) Tokyo Institute of Technology, 3) Tokyo Institute of Technology |
| Abstract(J) | 前車追従などの位置制御に適したHEVエネルギー最適制御則導出法として、位置誤差の信号で駆動される仮想駆動システムの消費パワーを評価関数に加える方法を試みた。10モード速度パターンを時間積分した位置目標値を与えたシミュレーションの結果、第2報と同等の消費エネルギーで、位置誤差±1m以内の良好な制御が行われた。 Translation |
| Abstract(E) | In the position control based on the energy optimal control theory (EOC), the different idea than the case of the velocity control is needed. In this paper, a virtual drive system driven by the position error signal is considered in the plant model and its power consumption is added to the evaluation function. In the position following under the energy consumption constraint, the maximum position error for EOC is approximately 20m, but that for the general rule based control (RBC) is 80m. In the second simulation in that the vehicle moves 1,500m away from the current stopping position in 10 seconds, the energy efficiency of EOC is more excellent than RBC, because more regenerative energy is obtained by the effect of the energy efficiency function of engine and motor. |
