EFM32GG880F512G-E-QFP100

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Mfr.Part #
EFM32GG880F512G-E-QFP100
Manufacturer
Silicon Labs
Package / Case
100-LQFP
Datasheet
Download
Description
IC MCU 32BIT 512KB FLASH 100LQFP
Stock
450
In Stock :
450

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Number of ADC Channels :
8
Number of I2C Channels :
2
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Data Converter :
A/D 8x12b; D/A 2x12b
Number of UART Channels :
7
Manufacturer Package Identifier :
EFM32GG880F512G-E-QFP100
Peak Reflow Temperature (Cel) :
NOT SPECIFIED
Package / Case :
100-LQFP
Number of I/O :
86
Height :
1.6mm
Program Memory Type :
Flash
RoHS Status :
Non-RoHS Compliant
Time@Peak Reflow Temperature-Max (s) :
NOT SPECIFIED
Core Size :
32-Bit
Number of SPI Channels :
3
RAM Size :
128K x 8
Program Memory Size :
512KB 512K x 8
Peripherals :
Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
Frequency :
48MHz
Mounting Type :
Surface Mount
Oscillator Type :
Internal
Packaging :
Tray
Number of Timers/Counters :
10
Number of A/D Converters :
1
Interface :
I2C, I2S, IrDA, SPI, UART, USART
Pbfree Code :
yes
Factory Lead Time :
8 Weeks
Number of PWM Channels :
12
Data Bus Width :
32b
Operating Temperature :
-40°C~85°C TA
Connectivity :
I2C, SMBus, SPI, UART/USART
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Core Processor :
ARM® Cortex®-M3
Ambient Temperature Range High :
85°C
Series :
Giant Gecko
Memory Size :
512kB
Introducing Microcontrollers Silicon Labs EFM32GG880F512G-E-QFP100 from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:100-LQFP, Mounting Type:Surface Mount, Operating Temperature:-40°C~85°C TA, EFM32GG880F512G-E-QFP100 pinout, EFM32GG880F512G-E-QFP100 datasheet PDF, EFM32GG880F512G-E-QFP100 amp .Beyond Microcontrollers Silicon Labs EFM32GG880F512G-E-QFP100 ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32GG880F512G-E-QFP100


Microcontrollers Silicon Labs EFM32GG880F512G-E-QFP100 Overview

The Silicon Labs EFM32GG880F512G-E-QFP100 microcontroller is engineered for optimal performance and efficiency, tailored to meet the demanding needs of advanced electronic applications. This robust microcontroller integrates a 32-bit CPU with a spacious 512KB of Flash memory, all housed in a compact 100-pin LQFP package. Designed for scalability and versatility, the EFM32GG880F512G-E-QFP100 is an ideal choice for developers looking to push the boundaries of power management and processing capability in their products. With its precision engineering and Silicon Labs' renowned reliability, this microcontroller stands out as a cornerstone in any high-performance embedded system.

EFM32GG880F512G-E-QFP100 Features

This microcontroller boasts a rich set of features including an ARM Cortex-M3 processor, which provides a balance of efficiency and power for complex digital tasks. With 512KB of Flash memory, it offers ample space for robust applications and firmware updates. The integration of energy-efficient features ensures that the device operates with minimal power consumption, making it suitable for battery-operated devices and applications requiring prolonged operational periods.

EFM32GG880F512G-E-QFP100 Applications

  • Smart Home Devices: Utilize the microcontroller's low power consumption and robust processing capabilities to enhance the efficiency and functionality of home automation systems.
  • Industrial Automation: Leverage the high reliability and extended temperature range to control and monitor industrial machinery, ensuring seamless and uninterrupted production processes.
  • Wearable Technology: Employ the microcontroller in wearable devices, taking advantage of its compact size and energy efficiency to extend battery life and improve user experience.
  • Medical Devices: Utilize the microcontroller’s capabilities in medical monitoring systems, where precision and reliability are crucial for patient care and data accuracy.
  • Energy Management Systems: Apply the microcontroller in systems designed for optimizing energy usage in buildings and grid management, benefiting from its advanced power management features.
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