On-Line Energy Management Strategy For Hybrid Electric Vehicles Based On AMPC

被引：0
|
作者：
Ma, Jun [1 ]
Shah, A. F. M. Shahen [2 ]
Baysal, Mustafa [1 ]
Ilhan, Haci [2 ]
机构：
[1] Yildiz Tech Univ, Dept Elect Engn, Istanbul, Turkey
[2] Yildiz Tech Univ, Dept Elect & Commun Engn, Istanbul, Turkey
来源：
2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO) | 2017年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, Adaptive Model Predictive Control (AMPC) based Energy Management Strategy (EMS) for Hybrid Electric Vehicles (HEVs) is proposed to minimize the hydrogen consumption and to increase the energy sources lifetime. The EMS problem is simplified according to the control structure of the vehicle. Moreover, adaptive algorithm is used to dynamically adjust the weights of targets. The Energetic Macroscopic Representation(EMR) and control scheme of the vehicle is implemented in MATLAB-Simulink (TM). To test the performance two standard driving cycles and a real urban cycle are used. The simulation results of proposed AMPC show a noticeable improvement in fuel economy and battery charge-sustainability.
引用
收藏
页码：185 / 189
页数：5
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