Trip Based Optimal Power Management of Plug-in Hybrid Electric Vehicle with Advanced Traffic Modeling

被引：28

作者：

Gong, Qiuming ^{[1
]}

Li, Yaoyu ^{[1
]}

Peng, Zhong-Ren ^{[2
]}

机构：

[1] Univ Wisconsin, Milwaukee, WI 53201 USA

[2] Univ Florida, Gainesville, FL USA

来源：

SAE INTERNATIONAL JOURNAL OF ENGINES | 2009年 / 1卷 / 01期

关键词：

D O I：

10.4271/2008-01-1316

中图分类号：

U [交通运输];

学科分类号：

08 [工学]; 0823 [交通运输工程];

摘要：

The plug-in hybrid electric vehicles (PHEV), utilizing more battery power, has become a next-generation HEV with great promise of higher fuel economy. A nearly global optimization based charge-depletion control strategy is developed for PHEV power management by using the Intelligent Transportation Systems (ITS). Trip model is obtained via GPS, GIS, real-time and historical traffic flow data and advanced traffic flow modeling. The Gipps car-following model [42] is used for the local road trip modeling along with the synchronization of the traffic signal sequences. The gas-kinetic model [53] was used for the freeway trip modeling. These trip modeling schemes are validated with simulation.

引用

页码：861 / 872

页数：12

共 55 条

[1]

Assessing the future competitiveness of alternative powertrains [J].