4.8 Article

Electric vehicle range prediction for constant speed trip using multi-objective optimization

期刊

JOURNAL OF POWER SOURCES
卷 275, 期 -, 页码 435-446

出版社

ELSEVIER
DOI: 10.1016/j.jpowsour.2014.11.043

关键词

Electric vehicle; Driving strategy; Range prediction; Multi-objective optimization; Genetic algorithm

资金

  1. Department of Mechanical AMP
  2. Aerospace Engineering
  3. Indo-US Science and Technology Forum (IUSSTF), New Delhi, India [2013/40]

向作者/读者索取更多资源

Due to the limited range and long charging time for electric vehicles, proper utilization of the stored battery energy is crucial. Current methods for electric vehicle range estimation do not help the driver to formulate a driving strategy based on trip parameters (e.g., trip speed) related to power savings. This can be done by predicting the driving range based on optimal trip parameters prior to the trip enabling the driver to formulate a suitable driving strategy. This study proposes a novel strategy that presents a number of optimal trip speeds to the driver, along with the total trip time corresponding to a predicted range. The optimal speeds were obtained by solving a multi-objective optimization problem that maximized electric motor efficiency and minimized power consumption. Two approaches to calculate the objective functions were considered: using constant battery voltage and using battery voltage as a function of the state-of-charge. Pareto-optimal fronts were obtained and a plot of the predicted range and trip times for optimal speeds was created. It was found that the shape of the fronts was not affected by the approach; however, the range was overestimated when a constant battery voltage was used. (C) 2014 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据