EFM32LG880F256G-E-QFP100

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Mfr.Part #
EFM32LG880F256G-E-QFP100
Manufacturer
Silicon Labs
Package / Case
LQFP
Datasheet
Download
Description
IC MCU 32BIT 256KB FLASH 100LQFP
Stock
1,106
In Stock :
1,106

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Interface :
EBI/EMI, I2C, I2S, IrDA, SPI, UART, USART, USB
Supply Voltage :
3V
Bit Size :
32
DMA Channels :
yes
Oscillator Type :
Internal
Package / Case :
LQFP
Memory Type :
Flash
Memory Size :
256KB
Length :
14mm
Surface Mount :
yes
RoHS Status :
RoHS Compliant
Terminal Form :
Gull wing
Max Operating Temperature :
85°C
PWM Channels :
yes
ECCN Code :
3A001.A.3
Data Bus Width :
32b
RAM Size :
32kB
Number of Pins :
100
Weight :
1.319103g
Height Seated (Max) :
1.6mm
Temperature Grade :
Industrial
Frequency (Max) :
48MHz
Core Architecture :
ARM
Min Operating Temperature :
-40°C
Number of Timers/Counters :
5
Number of Programmable I/O :
85
Operating Supply Voltage :
3.8V
Frequency :
48MHz
Terminal Position :
QUAD
Peripherals :
Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
Number of Terminations :
100
Watchdog Timer :
yes
Number of I/O :
86
Address Bus Width :
28
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
DAC Channels :
yes
Has ADC :
yes
Introducing Microcontrollers Silicon Labs EFM32LG880F256G-E-QFP100 from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:LQFP, Number of Pins:100, Number of Terminations:100, EFM32LG880F256G-E-QFP100 pinout, EFM32LG880F256G-E-QFP100 datasheet PDF, EFM32LG880F256G-E-QFP100 amp .Beyond Microcontrollers Silicon Labs EFM32LG880F256G-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 EFM32LG880F256G-E-QFP100


Microcontrollers Silicon Labs EFM32LG880F256G-E-QFP100 Overview

The EFM32LG880F256G-E-QFP100, a robust microcontroller from Silicon Labs, stands out in the market with its high-performance capabilities and energy efficiency. This product is particularly designed to cater to the demanding needs of modern embedded applications, offering a perfect blend of power, versatility, and reliability. As a key component of Silicon Labs' energy-friendly EFM32 Leopard Gecko series, this microcontroller not only enhances system performance but also significantly reduces power consumption, making it an ideal choice for environmentally conscious enterprises looking to optimize their hardware solutions. Integrating this Microcontrollers Silicon Labs EFM32LG880F256G-E-QFP100 into your designs can lead to considerable improvements in both performance metrics and operational efficiency.

EFM32LG880F256G-E-QFP100 Features

The EFM32LG880F256G-E-QFP100 is equipped with a 32-bit ARM Cortex-M3 processor, which provides a maximum CPU speed of 48 MHz. It includes 256 KB of flash memory and 32 KB of RAM, supporting complex and memory-intensive applications. The device comes in a compact 100-pin LQFP package that ensures a minimized footprint while offering ample I/O options for comprehensive system integration. Advanced features include an onboard AES encryption engine for secure data handling, a full set of peripheral interfaces such as USART, I2C, and SPI, and low energy modes to extend battery life in portable applications.

EFM32LG880F256G-E-QFP100 Applications

  • Smart Home Devices: Utilized in the control units of smart thermostats, lighting systems, and security devices, providing efficient data processing and connectivity while minimizing power consumption.
  • Industrial Automation: Serves as the core for controllers in automation systems, where precision, reliability, and low power usage are critical.
  • Portable Medical Devices: Powers handheld medical instruments where its low energy consumption extends battery life, crucial for devices like portable ECG monitors and blood glucose meters.
  • Wearable Technology: Ideal for use in fitness trackers and smart watches, its energy-efficient operation maximizes the duration between charges.
  • Energy Management Systems: Helps manage and monitor energy consumption in real-time for systems aiming to optimize energy usage and reduce operational costs.
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