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

页码：9497 / 9501

页数：5

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