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Product description
This module converts the microcontroller's power supply into a higher, adjustable voltage.
Specifications
- input voltage: 3.5 to 35 VDC
- output voltage: 5 to 55 VDC (adjustable)
- max. input current: 3 A
- Continous input current: 2 A
- chip: LM2577
- dimensions: 43 x 30 x 12 mm
Specifications
Experimental product description generated by artificial intelligence
LM2577 DC-DC Boost Converter Module: Power Up Your Projects
The IDUINO LM2577 DC boost module (C3B3) is a versatile and reliable power converter, ideal for a wide range of applications. This step-up module efficiently boosts lower input voltages to higher output voltages, making it perfect for projects requiring increased power.
Key Features and Specifications
- Input Voltage: 3.5V - 35V
- Output Voltage: Adjustable 5V - 56V
- Integrated Indicator: Provides visual confirmation of operation
- Based on the LM2577 Chip: Ensures high efficiency and stability
- Compact and Easy to Use: Simple to integrate into your projects
Applications
This DC-to-DC boost converter module finds use in various applications, including:
- Powering high-voltage devices from lower voltage sources
- Creating adjustable power supplies
- DIY electronics projects
- Robotics and automation
- Portable devices requiring higher voltage
Why Choose the IDUINO LM2577 Boost Module?
The IDUINO LM2577 DC boost module offers a compelling combination of performance, reliability, and ease of use. Its compact design and simple interface make it perfect for both hobbyists and professionals. The integrated indicator provides valuable feedback, ensuring smooth operation. Choose this module for a dependable and efficient solution to your power conversion needs.
Technical Details
Parameter | Value |
---|---|
Input Voltage Range | 3.5V - 35V |
Output Voltage Range | 5V - 56V |
Chipset | LM2577 |
Indicator | Yes |
Note: Always refer to the datasheet for complete specifications and safety precautions.
This description is generated using artificial intelligence (AI) and may differ from the actual product. Common AI errors may include:
- Inaccurate product features: some technical specifications, colors, sizes or other parameters may be inaccurate or omitted.
- Incorrect compatibility information: AI may provide incorrect information about the compatibility of products with other devices or systems.
- Overly Optimistic Functions: in some cases functions may be provided whose product iš doesnt really have.
- Name or Model Discrepancies: AI may misrepresent the product name or model.
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