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2-way Fast Charge Buck Module (Compatible with Raspberry Pi 4B & Jetson Nano)

DFRobot

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SKU:
147-DFR0849
MPN:
DFR0849
  • 100% Original Products
  • GST Invoice
  • Earn 3% Cashback
₹552.24 inc. GST
₹468.00 ex. GST
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Technical Specifications

Brand:
DFRobot

Warranty Information

All the products supplied by Evelta are genuine and original. We offer 14 days replacement warranty in case of manufacturing defects. For more details, please visit our cancellation and returns page.

Description

This 2 USB buck fast-charging module is equipped with a common 5V charging recognition function that is compatible with 99% of mobile phones on the market. This feature allows the module to save charging time by activating peak current through a fast charging protocol. It has a 6~32V input and a 3~12V output (default 5V) that can be adjusted using a fast-charging decoy. The module supports multiple fast-charging protocols and has two independent channels.

With a steady output, this Fast Charge Module can operate for an extended period of time without experiencing voltage shifts. It is suitable for a range of projects including mobile phone fast charging, car charging retrofits, solar chargers, and DIY power sources.

Features
  • 2-way USB port output
  • Support multiple fast charging protocols
  • Can be used as charging and power supply

Dimensions

Specifications
  • Input Voltage Range: 6V-32V
  • Output Voltage: 3-12V, automatically adjust according to the fast charge protocol (default output is 5V, input is 2V higher than output)
  • Output Current: 0-3A
  • Output Power: <=24W (5V@3.4A, 9V@2.5A, 12V@2A, etc.)
  • Chip Protection: input over-voltage and under-voltage protection, input over-current protection, output over-current and short-circuit protection, whole machine over-temperature protection
  • Support Fast Charge Protocol:
    • Support DCP protocol, BC1.2, Apple, Samsung protocol
    • Support Huawei fast charge protocol FCP/SCP, AFC
    • Support Spreadtrum fast charge protocol SFCP
    • Support Qualcomm QC2.0 and 3.0
    • Support MTKPE1.1/PE2.0