4.5 Article

Smart charging strategies for heavy electric vehicles

期刊

ETRANSPORTATION
卷 13, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.etran.2022.100182

关键词

Heavy electric vehicles; Electric trucks; Smart charging system; Charging infrastructure

向作者/读者索取更多资源

With emission standards tightening and the popularity of electric cars rising, there is a natural progression towards electrifying heavy-duty vehicles. This paper proposes a smart charging system to address the challenges of electric truck charging, specifically focusing on minimizing peak demand at commercial facilities, with potential monthly savings of up to 54% in demand charge.
With emission standards tightening around the world and the popularity of electric cars rising, the electrification of heavy-duty vehicles (e.g., diesel trucks) appears to be a natural progression. For electric truck (ET) charging, a return-to-base strategy with chargers located where trucks begin and end each day, such as trucks used in cargo, freight, and delivery entities, is becoming increasingly viable and attractive. This return-to-base strategy; however, has impacts on the peak demand of a facility which can contribute to an increase in demand charge and requires electrical asset upgrades in certain circumstances. This challenge is different and unique compared to the light-duty passenger vehicles charging challenge (i.e., low distributed charging load and longer charging periods). To address this ET charging challenge, this paper proposes a smart charging system (SCS) that manages the charging process of ETs at their commercial facilities, with the objective of minimizing the peak demand of the aggregate load profile at the facility. Our simulation studies show the effectiveness of the proposed SCS in reducing the peak demand of the facility. The proposed solution can achieve a monthly saving in demand charge of up to 54% compared to uncontrolled charging schemes.(c) 2022 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

4.5
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