Smart Charging Pile

MCU is a crucial technology in electric vehicle charging to realize intelligent charging management. By deploying MCUs on charging stations and charging piles, it is possible to monitor and control the charging process. The MCU can read the information of the electric vehicle, adjust the charging power, and reasonably use the peak and valley electricity prices, thereby realizing an efficient and energy-saving charging process.

Through these intelligent control modules, cities can achieve multiple functions, such as smart lighting, interactive signage, and electric vehicle charging, promoting sustainable development and modernization. The application of MCU will bring more possibilities for realizing smart cities and provide citizens with a more convenient and comfortable living environment.

Applicable Development Platforms
NuMaker-HMI-MA35D1-S1	Real-time recognition Example: License plate recognition system The camera captures the vehicle approaching the charging station. The MA35D1 runs the license plate recognition algorithm, recognizes the vehicle, and confirms whether it is a registered user or a car with usage rights. If the recognition is successful, the charging procedure is automatically started; if the recognition fails, the charging station remains locked.
NuMaker-HMI-M467 NuMaker-IoT-M467	Anomaly detection Example: Temperature and current monitoring Use sensors to monitor the temperature and current of the charging station in real-time. The M467 processes this data and uses preset thresholds or machine learning models to identify anomalies such as overheating or overload. Once an anomaly is detected, the system can automatically shut down the charging station or notify maintenance personnel over the network. NuMaker-IoT-M467
NuMaker-M55M1	1. Sensor fusion Use the M55M1's multi-channel analog-to-digital converter and digital interface to fuse data from multiple sensors, such as temperature, current, voltage, and humidity, for precise charging control and monitoring. Fuse data from the vehicle communication interface, such as battery status and charging demand, to optimize the charging process. 2. Anomaly detection Use the M55M1 development board's high-speed processing capability and machine learning functions to analyze data from the charging process in real-time and promptly detect any anomalies, such as overvoltage, overcurrent, or abnormal temperature. When an anomaly is detected, the system can take automatic action, such as interrupting charging or sending an alert via the communication interface. 3. Real-time recognition Use the M55M1's high-performance processor and built-in NPU to achieve real-time recognition of vehicles and users, such as license plate recognition or user authentication. The real-time recognition function enhances the charging station's convenience and improves security, ensuring only authorized users and vehicles can use the charging service.

Applicable Development Platforms

NuMaker-HMI-MA35D1-S1

Real-time recognition

Example: License plate recognition system

The camera captures the vehicle approaching the charging station.
The MA35D1 runs the license plate recognition algorithm, recognizes the vehicle, and confirms whether it is a registered user or a car with usage rights.
If the recognition is successful, the charging procedure is automatically started; if the recognition fails, the charging station remains locked.

NuMaker-HMI-M467

NuMaker-IoT-M467

Anomaly detection

Example: Temperature and current monitoring

Use sensors to monitor the temperature and current of the charging station in real-time.
The M467 processes this data and uses preset thresholds or machine learning models to identify anomalies such as overheating or overload.
Once an anomaly is detected, the system can automatically shut down the charging station or notify maintenance personnel over the network.
NuMaker-IoT-M467

NuMaker-M55M1

1. Sensor fusion

Use the M55M1's multi-channel analog-to-digital converter and digital interface to fuse data from multiple sensors, such as temperature, current, voltage, and humidity, for precise charging control and monitoring.
Fuse data from the vehicle communication interface, such as battery status and charging demand, to optimize the charging process.

2. Anomaly detection

Use the M55M1 development board's high-speed processing capability and machine learning functions to analyze data from the charging process in real-time and promptly detect any anomalies, such as overvoltage, overcurrent, or abnormal temperature.
When an anomaly is detected, the system can take automatic action, such as interrupting charging or sending an alert via the communication interface.

3. Real-time recognition

Use the M55M1's high-performance processor and built-in NPU to achieve real-time recognition of vehicles and users, such as license plate recognition or user authentication.
The real-time recognition function enhances the charging station's convenience and improves security, ensuring only authorized users and vehicles can use the charging service.

More to explore:

Smart Home Voice Assistants

Keyword spotting technology is used to wake up voice assistants (e.g., Siri, Alexa, or Google Assistant) or control smart home devices. Users can interact with the device by speaking a keyword, such as "Alexa, turn on the lights in the living room.

Smart Kitchen Range Hood

Modern kitchen range hoods provide powerful ventilation and feature advanced AI technology that intelligently adjusts fan speed and run time-based on cooking needs, maximizing energy efficiency.

Smart Fridge with AI Applications

Nuvoton offers a wide range of advanced MEMS motion, environmental sensors, and wired and wireless connectivity to help design connected, energy-efficient, user-friendly refrigerators and freezers.

Smart Coffee Machine

Coffee machines typically feature sleek touchscreen interfaces and integrate elements like high-pressure water pumps, grinders, and solenoid valves.

Smart Food Processor

Intelligent food processors can shred vegetables, grind, and juice. Also, they can process fish meat into segments, grind, and even stir and cook to complete multiple steps in a recipe.