A Robust RF-Based Wireless Charging System for Dockless Bike-Sharing

被引:2
|
作者
He, Shibo [1 ,2 ]
Hu, Kang [1 ]
Li, Songyuan [1 ]
Fu, Lingkun [1 ]
Gu, Chaojie [1 ]
Chen, Jiming [1 ]
机构
[1] Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Key Lab Collaborat Sensing & Autonomous Unmanned S, Hangzhou 310015, Peoples R China
基金
中国国家自然科学基金;
关键词
Inductive charging; Radio frequency; Wireless sensor networks; Wireless communication; Sensors; Receivers; Delays; Dockless bike-sharing; wireless charging system; radio frequency; wireless power transfer; SET MULTICOVER; POWER TRANSFER; ENERGY; AUTHENTICATION; INFORMATION; ALGORITHMS; NETWORKS; COVERAGE; SCHEME;
D O I
10.1109/TMC.2023.3255980
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the past few years, dockless bike-sharing has become a popular means of public transportation and brought significant convenience to millions of citizens. As one of the key components of a shared bike, the smart locking/unlocking module has proposed a new challenge of how to provide robust power supplement for them. Current charging solutions for shared bikes are mainly based on mechanical power and solar power, and rarely take user experience and charging delay into consideration. In this article, we design a robust RF-based wireless charging system for dockless bike-sharing. Our system utilizes radio frequency (RF) power to provide stable charging service while preserving the quality of service. In our system, an RF wireless charging sensing node is integrated on the bike's basket, so that the mutual interference during charging process and space occupation can be reduced. In order to reduce charging delay, we first design an efficient charging direction scheduling algorithm for a single charger. Then, we extend the solution to multiple-charger scenarios via dynamic programming. Our system has been successfully implemented on a dockless bike-sharing system. The experimental results verify that our design can satisfy the charging demands of shared-bikes and achieve 85% of the optimal solution.
引用
收藏
页码:2395 / 2406
页数:12
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