Title: Implementation of cloud service platform for monitoring charging facility status of electric vehicle based on MQTT

Authors: Lei Li; Weidong Liu; Xiaohui Li; Guang Yang; Dan Li

Addresses: Electric Power Science and Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitaihuakefour Road, Huayuan Industrial Park, Tianjin Hi-tech Industrial Park, Tianjin 300392, China ' Electric Power Science and Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitaihuakefour Road, Huayuan Industrial Park, Tianjin Hi-tech Industrial Park, Tianjin 300392, China ' Electric Power Science and Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitaihuakefour Road, Huayuan Industrial Park, Tianjin Hi-tech Industrial Park, Tianjin 300392, China ' Electric Power Science and Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitaihuakefour Road, Huayuan Industrial Park, Tianjin Hi-tech Industrial Park, Tianjin 300392, China ' Electric Power Science and Research Institute, State Grid Tianjin Electric Power Company, No. 8, Haitaihuakefour Road, Huayuan Industrial Park, Tianjin Hi-tech Industrial Park, Tianjin 300392, China

Abstract: Aiming at the heterogeneous charging facilities of many manufacturers, the difficulty of communication and information sharing among devices, we design a cloud service platform for monitoring the status of charging facilities of electric vehicles. Firstly, the network topology structure of cloud service platform is given. Then, the logical architecture and functions are designed. The information collection, pushing process and security design of the cloud service platform are described in detail. Finally, the implementation and performance tests of the presented system are carried out. The contribution of this paper is that the proposed message queuing telemetry transport (MQTT)-based internet of things middleware can provide remote parameter configuration and information acquisition functions for charging facilities, shield the underlying hardware devices, realise data interaction between the sensor layer and the upper application, and integration of multi-source information of heterogeneous devices. The research results that the present method has the practical application value.

Keywords: electric vehicle; charging facility monitoring; cloud computing; message queuing telemetry transport; MQTT; middleware.

DOI: 10.1504/IJICA.2023.131343

International Journal of Innovative Computing and Applications, 2023 Vol.14 No.3, pp.132 - 140

Received: 28 Mar 2020
Accepted: 19 Jun 2020
Published online: 07 Jun 2023 *