Suppr超能文献

电动汽车智能充电预约算法。

Electric Vehicle Smart Charging Reservation Algorithm.

机构信息

Research and Development Department, ASSIST Software, Str. Tipografiei Nr. 1, 720043 Suceava, Romania.

Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Str. Universitatii Nr. 13, 720229 Suceava, Romania.

出版信息

Sensors (Basel). 2022 Apr 7;22(8):2834. doi: 10.3390/s22082834.

Abstract

The widespread adoption of electromobility constitutes one of the measures designed to reduce air pollution caused by traditional fossil fuels. However, several factors are currently impeding this process, ranging from insufficient charging infrastructure, battery capacity, and long queueing and charging times, to psychological factors. On top of range anxiety, the frustration of the EV drivers is further fuelled by the uncertainty of finding an available charging point on their route. To address this issue, we propose a solution that bypasses the limitations of the "reserve now" function of the OCPP standard, enabling drivers to make charging reservations for the upcoming days, especially when planning a longer trip. We created an algorithm that generates reservation intervals based on the charging station's reservation and transaction history. Subsequently, we ran a series of test cases that yielded promising results, with no overlapping reservations and the occupation of several stations without queues, assuring, thus, a proper distribution of the available energy resources, while increasing end-user satisfaction. Our solution is independent from the OCPP reservation method; therefore, the authentication and reservation processes performed by the proposed algorithm run only through the central system, authorizing only the creator of the reservation to start the charging transaction.

摘要

电动汽车的广泛应用是减少传统化石燃料造成的空气污染的措施之一。然而,目前有几个因素阻碍了这一进程,包括充电基础设施不足、电池容量、长时间排队和充电时间、心理因素等。除了续航焦虑,电动汽车司机的不满还因在行驶路线上找不到可用充电点而加剧。为了解决这个问题,我们提出了一种解决方案,绕过了 OCPP 标准“预留现在”功能的限制,使司机能够为未来几天的充电预留,特别是在计划长途旅行时。我们创建了一个根据充电站的预留和交易历史生成预留间隔的算法。随后,我们运行了一系列测试用例,结果令人鼓舞,没有重叠的预留,并且几个车站没有排队,从而确保了可用能源资源的合理分配,同时提高了最终用户的满意度。我们的解决方案独立于 OCPP 预留方法;因此,所提出的算法执行的认证和预留过程仅通过中央系统运行,仅授权预留的创建者开始充电交易。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e196/9028875/11f830bf535a/sensors-22-02834-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验