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The charging progress of each vehicle in the system will be tracked by a suitable EV charging management system. Additionally, it will keep track of the capacity of the electrical infrastructure as well as the ability to produce energy in real time and balance load.
The parking lot local controller (PLLC), in order to handle EV charging, requires data interchange with EV charging stations (EVCSs) over communication infrastructures.
Data loss and communication lag, however, are unavoidable and have the potential to seriously harm the system’s functionality. The goal of this work is to look into the communication networks that underlie remote monitoring of EVCSs in a smart campus parking lot.
The Global EV charging station remote monitoring system market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
For the purpose of providing advanced station performance monitoring, EV Connect has launched a charging network operations centre. The EV Connect C-NOC is built on the Company’s cutting-edge technology stack to give network operators.
charging station manufacturers, and other EV ecosystem stakeholders deep, real-time insight into station issues, remediation automation, as well as the ability to create predictive maintenance models using machine learning and artificial intelligence.
To scale charging networks and the EV sector as a whole, the C-NOC’s insights will make it easier to remotely identify, prioritise, and fix charging station performance problems.
It is simple to identify problems and quickly roll out mitigations across devices on the EV Connect platform since the C-NOC has access into more than a dozen important parameters relating to the health and performance of charging stations.
Operators may extract trends and practical insights from station OCPP data streams, data-rich fault alarms, automated diagnosis, and ticket status via a single dashboard, which also gives them the option to export data for use in downstream operations and maintenance systems.
For instance, quick auto-detection, alert notifications, and triage on a per-station basis will allow support staff to address technical issues. Furthermore, by utilising the C-NOC’s insights, planning for scaling charging networks and selecting the best charging station for each charging scenario can be made more efficient.
