Logical Stochastic Optimization Approach to Energy Management of Plug-in Hybrid Electric Vehicle

被引：0
|
作者：
Zhang, Jiangyan [1 ]
Wu, Yuhu [2 ]
Shen, Tielong [3 ]
Fan, Jixiang [4 ]
机构：
[1] Dalian Minzu Univ, Coll Mech & Elect Engn, Dalian 116600, Peoples R China
[2] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
[3] Sophia Univ, Dept Engn & Appl Sci, Tokyo 1028554, Japan
[4] Harbin Normal Univ, Sch Phys & Elect Engn, Harbin 150025, Heilongjiang, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词：
Plug-in HEV; Energy Management; Logical Control; Stochastic Optimal Control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a control scheme for the energy management of plug-in hybrid electric vehicles (HEVs). Consider the urban driving case, the traffic conditions are treated as stochastic processes of the driver demands. Taking the essential characteristics of plug-in HEVs into account, a logical-based optimization approach is applied to realize the equivalent energy cost minimization of the powertrain. The stochastic design approach provides the solution of a finite horizon optimal control problem. The performance of the proposed control scheme is evaluated by means of a full-scaled hybrid electric vehicle (HEV) simulator.
引用
收藏
页码：9497 / 9501
页数：5
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