AWS Core setup on EV Charging App

Hello People. This article discusses about AWS Core setup on EV Charging App. Cloud is one of the most significant components used to develop an IoT solution for EV charging. Based on the services required in the project, the design plan for the cloud is usually structured.

Process Overview

Electric Vehicle Supply Unit (EVSE) sends data to the cloud. MQTT (Message Queuing Telemetry Transport) is the lightweight communication protocol used for data movement between IoT devices and Cloud IoT. The message is then sent to the MQTT broker.

Cloud provider services then extract the data for processing, mainly for storage and data analytics. Data analysis helps contribute more insight into other charging behavior, processes happening in the background and maintaining the entire infrastructure. Data storage is done for long-term documentation and additional versioning.

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Databases also transfer the data to API. API receives the data in JSON format, which is used in developing a mobile app. This mobile app allows users to gain administrative views. However, most of the data is visible after the charging process is validated with a token. Once the token authenticates the user, the mobile app then acts as a portal to operate EVSE, charge EV, handle billing and get charging information.

IoT devices use certain protocols to execute their operations. The EVSE must support both CAN and CCS’s PLC communication to cover the market’s EV base. IoT devices are designed in a way to carry smooth interaction with customer’s EV and IoT Cloud. Cloud providers also provide the SDK for building IoT applications. Let us see AWS as an example.

AWS IoT Core is Amazon’s cloud service that enables connected devices to securely and efficiently interact with cloud applications and other devices. It supports  communication protocols like HTTPS, MQTT, MQTT over WSS, HTTPS and LoRaWAN.

The steps involved in an IoT solution for EV charging include:

• A data pipeline that can store the raw data such as signals of devices, voltage, current, power and temperature figures
• Sample the data per hour and storing it
• Calculating the overall combined power load across all devices and store it
• Invoke an ML model and monitor the power to see if it has reached the threshold. If capacity exceeds the threshold, an MQTT message is sent to the device to turn it off.

The data collected from the devices contain power in Watts and a timestamp. Besides, sometimes a situation may arise when the cables of these chargers deteriorate and the current shorts to the vehicle’s chassis, which eventually may lead to some severe hazard. In such a case, notice is sent to the stakeholders immediately.

Hope this article on AWS Core setup on EV Charging App is useful to you. Please read about Tata power EV charging stations in Andhra Pradesh