| Title |
Electric Vehicle Charging Station using Open Charge Point Protocol (OCPP) and oneM2M Platform for Enhanced Functionality |
| ID_Doc |
41784 |
| Authors |
Devendra, D; Mante, S; Niteesh, D; Hussain, AM |
| Title |
Electric Vehicle Charging Station using Open Charge Point Protocol (OCPP) and oneM2M Platform for Enhanced Functionality |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/TENCON54134.2021.9707311 |
| Abstract |
A smart city is a collection of a variety of smart devices representing several disparate infrastructural verticals. The data gathered by these smart devices helps bring a strong integration of human, collective, and artificial intelligence within the city operation. With the advent and proliferation of electric vehicles (EVs), the EV charge point is a relatively new addition to this plethora of smart devices. We believe that the EV charge point can acquire enhanced functionality if it can be seamlessly integrated with the rest of the smart city infrastructure. For example, charging services can be stopped if smart grid or smart fire alarms sense an electrical overload or fire hazard in the vicinity. However, the interaction of an EV charge point with the smart city infrastructure requires seamless information exchange across various verticals. This horizontal flow of information is enabled by making the charge point complaint with the oneM2M platform. To this end, we present the design and fabrication of an EV charge point based on the OCPP communication standard and complaint with the oneM2M platform. Further, we discuss various use cases showing an increased functional capability of the EV charger due to access to data from other IoT devices. |
| Author Keywords |
Electric & Autonomous Vehicles; Intelligent Transportation Systems; Communication Systems; Open Charge Point Protocol(OCPP); oneM2M platform |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000799485900113 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Software Engineering; Engineering, Multidisciplinary; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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