EFM32GG11B420F2048IL112-B

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Mfr.Part #
EFM32GG11B420F2048IL112-B
Manufacturer
Silicon Labs
Package / Case
112-LFBGA
Datasheet
Download
Description
IC MCU 32BIT 2MB FLASH 112BGA
Stock
45,217
In Stock :
45,217

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Connectivity :
CANbus, EBI/EMI, Ethernet, I2C, IrDA, LINbus, MMC/SD/SDIO, QSPI, SmartCard, SPI, UART/USART, USB
Mounting Type :
Surface Mount
RAM Size :
512K x 8
Data Converter :
A/D 16x12b SAR; D/A 2x12b
Package / Case :
112-LFBGA
Program Memory Type :
Flash
Terminal Form :
Ball
Core Processor :
ARM® Cortex®-M4
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Length :
10mm
Voltage - Supply (Vcc/Vdd) :
1.8V~3.8V
Terminal Position :
BOTTOM
Core Size :
32-Bit
Has ADC :
yes
Supply Voltage :
3.3V
Clock Frequency :
50MHz
Oscillator Type :
Internal
Factory Lead Time :
8 Weeks
Bit Size :
32
Supply Voltage-Min (Vsup) :
1.8V
Terminal Pitch :
0.8mm
RoHS Status :
RoHS Compliant
Speed :
72MHz
Surface Mount :
yes
Packaging :
Tray
Series :
Giant Gecko S1
Width :
10mm
Number of I/O :
87
Operating Temperature :
-40°C~125°C TA
Supply Voltage-Max (Vsup) :
3.8V
Number of Terminations :
112
Reach Compliance Code :
Compliant
Peripherals :
Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
DMA Channels :
yes
Program Memory Size :
2MB 2M x 8
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
PWM Channels :
yes
Introducing Microcontrollers Silicon Labs EFM32GG11B420F2048IL112-B from Chip IC,where excellence meets affordability. This product stands out with its Mounting Type:Surface Mount, Package / Case:112-LFBGA, Operating Temperature:-40°C~125°C TA, Number of Terminations:112, EFM32GG11B420F2048IL112-B pinout, EFM32GG11B420F2048IL112-B datasheet PDF, EFM32GG11B420F2048IL112-B amp .Beyond Microcontrollers Silicon Labs EFM32GG11B420F2048IL112-B ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32GG11B420F2048IL112-B


Microcontrollers Silicon Labs EFM32GG11B420F2048IL112-B Overview

The Silicon Labs EFM32GG11B420F2048IL112-B is a high-performance microcontroller unit (MCU) designed to meet the demanding needs of modern embedded systems. As a part of Silicon Labs' energy-friendly EFM32 Giant Gecko series, this MCU is engineered to deliver exceptional power efficiency without sacrificing functionality. It integrates a 32-bit ARM Cortex-M4 core with a maximum CPU frequency of 72 MHz, offering robust computational capabilities alongside 2 MB of flash memory and 512 KB of RAM. This balance of performance and power efficiency makes the Microcontrollers Silicon Labs EFM32GG11B420F2048IL112-B an ideal choice for developers looking to optimize their system's power consumption while maintaining high performance.

EFM32GG11B420F2048IL112-B Features

This MCU features a rich set of capabilities that enhance its versatility in various applications. Key features include low energy consumption modes, a wide array of I/O options, and comprehensive security protocols. Additionally, it supports multi-channel direct memory access (DMA), which significantly improves data transfer efficiency without burdening the CPU. Its robust timer system and a range of analog interfaces, such as ADCs and DACs, allow for precision sensor reading and control, making it suitable for complex digital and analog integration tasks.

EFM32GG11B420F2048IL112-B Applications

  • Industrial Automation: Utilizes its array of I/O interfaces and real-time capabilities to manage and monitor automated processes, enhancing productivity and reliability in industrial environments.
  • Smart Home Devices: Powers advanced smart home systems, leveraging its low power consumption for long-lasting, efficient operation in devices like smart thermostats and security systems.
  • Wearable Technology: Ideal for wearables due to its energy-efficient architecture, ensuring extended battery life in devices such as fitness trackers and smart watches.
  • Medical Devices: Applied in patient monitoring systems where its reliability and precision data handling are critical for accurate health tracking and emergency notifications.
  • Energy Management: Helps in designing solutions for energy-efficient systems in smart grids and renewable energy sources, utilizing its capabilities to optimize power usage and distribution.
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