Optimization of Electric Vehicle Movement for Efficient Energy Consumption

被引：0

作者：

Yan, Qin ^{[1
]}

Zhang, Bei ^{[1
]}

Kezunovic, Mladen ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA

来源：

2014 NORTH AMERICAN POWER SYMPOSIUM (NAPS) | 2014年

关键词：

electric vehicle; state of charge; optimization strategy; mathematical model; regenerative energy;

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：

This paper focuses on the development of computational optimization algorithm to provide energy-based driving guidance for electric vehicle (EV) drivers to use the limited resource efficiently. The proposed efficiency improving strategy that minimizes total energy consumption according to various driving scenarios is demonstrated and analyzed. Several factors such as regenerative energy coefficient, stop-and-go frequency, inclination of ground, wind speed, etc. have been taken into consideration in the case studies.

引用

页数：6

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