EFM32GG11B520F2048IM64-BR

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Mfr.Part #
EFM32GG11B520F2048IM64-BR
Manufacturer
Silicon Labs
Package / Case
64-VFQFN Exposed Pad
Datasheet
Download
Description
IC MCU 32BIT 2MB FLASH 64QFN
Stock
24,089
In Stock :
24,089

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Number of Terminations :
64
Factory Lead Time :
8 Weeks
Speed :
72MHz
Program Memory Type :
Flash
Supply Voltage-Min (Vsup) :
1.8V
Address Bus Width :
28
Bit Size :
32
Supply Voltage :
3.3V
Supply Voltage-Max (Vsup) :
3.8V
Package / Case :
64-VFQFN Exposed Pad
Number of I/O :
53
Data Converter :
A/D 16x12b SAR; D/A 2x12b
Terminal Form :
NO LEAD
Program Memory Size :
2MB 2M x 8
Width :
9mm
Voltage - Supply (Vcc/Vdd) :
1.8V~3.8V
Core Size :
32-Bit
Terminal Position :
QUAD
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Clock Frequency :
50MHz
Operating Temperature :
-40°C~125°C TA
Peripherals :
Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Core Processor :
ARM® Cortex®-M4
RAM Size :
512K x 8
External Data Bus Width :
16
DMA Channels :
yes
Surface Mount :
yes
Terminal Pitch :
0.5mm
Packaging :
Tape and Reel (TR)
Mounting Type :
Surface Mount
Has ADC :
yes
Series :
Giant Gecko S1
Reach Compliance Code :
Compliant
PWM Channels :
yes
Connectivity :
CANbus, EBI/EMI, I2C, IrDA, LINbus, SmartCard, SPI, UART/USART
Oscillator Type :
Internal
Length :
9mm
RoHS Status :
RoHS Compliant
Introducing Microcontrollers Silicon Labs EFM32GG11B520F2048IM64-BR from Chip IC,where excellence meets affordability. This product stands out with its Number of Terminations:64, Package / Case:64-VFQFN Exposed Pad, Operating Temperature:-40°C~125°C TA, Mounting Type:Surface Mount, EFM32GG11B520F2048IM64-BR pinout, EFM32GG11B520F2048IM64-BR datasheet PDF, EFM32GG11B520F2048IM64-BR amp .Beyond Microcontrollers Silicon Labs EFM32GG11B520F2048IM64-BR ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32GG11B520F2048IM64-BR


Microcontrollers Silicon Labs EFM32GG11B520F2048IM64-BR Overview

The Silicon Labs EFM32GG11B520F2048IM64-BR microcontroller stands out in the market for its advanced engineering and high-performance capabilities. Designed to optimize energy efficiency and processing power, this 32-bit MCU is a part of Silicon Labs' Giant Gecko series, which is renowned for its integration of robust memory systems and energy-friendly features. With 2MB of flash memory and a compact 64-QFN package, this product is an ideal solution for developers looking to push the boundaries of what's possible with modern electronic applications. The integration of a comprehensive set of peripherals supports a range of functionalities, making the Microcontrollers Silicon Labs EFM32GG11B520F2048IM64-BR a versatile choice for high-demand applications.

EFM32GG11B520F2048IM64-BR Features

This microcontroller is equipped with multiple features that enhance its applicability across various demanding industries. It supports a wide operating temperature range, which ensures reliability under extreme conditions. The MCU’s energy efficiency is bolstered by Silicon Labs' innovative low energy techniques, which minimize power consumption during active and sleep modes. Moreover, its robust 32-bit ARM Cortex-M4 core provides ample computational power to handle complex algorithms and sensor data, making it suitable for advanced IoT devices and smart automation systems.

EFM32GG11B520F2048IM64-BR Applications

  • Industrial Automation: In factory settings, this MCU manages automated processes efficiently, ensuring precise control and monitoring of machinery and production lines.
  • Smart Home Devices: Utilized in smart thermostats, security systems, and lighting controls, it enables sophisticated user interactions and connectivity features.
  • Wearable Health Technology: Its low power consumption and powerful processing capabilities make it ideal for fitness trackers and medical monitoring devices that require long battery life and complex data processing.
  • Energy Management: The MCU excels in systems designed for smart grid and renewable energy sources monitoring, helping to optimize energy usage and reduce waste.
  • Automotive Applications: It is also used in vehicle systems for enhancing sensor-based functions like parking assistance and predictive maintenance systems.
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