EFM32LG880F128-QFP100

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Mfr.Part #
EFM32LG880F128-QFP100
Manufacturer
Silicon Labs
Package / Case
100-LQFP
Datasheet
Download
Description
IC MCU 32BIT 128KB FLASH 100LQFP
Stock
36,302
In Stock :
36,302

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Oscillator Type :
Internal
Number of Pins :
100
DAC Channels :
yes
Address Bus Width :
28
Has ADC :
yes
Program Memory Type :
Flash
ECCN Code :
3A001.A.3
Terminal Pitch :
0.5mm
Number of Programmable I/O :
85
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Program Memory Size :
128KB 128K x 8
ROM (words) :
131072
Supply Voltage-Max (Vsup) :
3.8V
Terminal Position :
QUAD
Core Processor :
ARM® Cortex®-M3
Data Converter :
A/D 8x12b; D/A 2x12b
Core Architecture :
ARM
Operating Temperature :
-40°C~85°C TA
Number of Terminations :
100
Watchdog Timer :
yes
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Published :
2013
Series :
Leopard Gecko
Packaging :
Tape and Reel (TR)
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Mounting Type :
Surface Mount
Core Size :
32-Bit
Interface :
EBI/EMI, I2C, I2S, IrDA, SPI, UART, USART
RAM Size :
32K x 8
Operating Supply Voltage :
3.3V
PWM Channels :
yes
Radiation Hardening :
No
Supply Voltage :
3V
Memory Size :
128kB
Number of Timers/Counters :
4
Peripherals :
Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
Connectivity :
EBI/EMI, I2C, IrDA, SmartCard, SPI, UART/USART, USB
Height Seated (Max) :
1.6mm
DMA Channels :
yes
Data Bus Width :
32b
Package / Case :
100-LQFP
Frequency :
48MHz
Surface Mount :
yes
Bit Size :
32
Terminal Form :
Gull wing
Number of I/O :
86
RoHS Status :
RoHS Compliant
Introducing Microcontrollers Silicon Labs EFM32LG880F128-QFP100 from Chip IC,where excellence meets affordability. This product stands out with its Number of Pins:100, Operating Temperature:-40°C~85°C TA, Number of Terminations:100, Mounting Type:Surface Mount, Package / Case:100-LQFP, EFM32LG880F128-QFP100 pinout, EFM32LG880F128-QFP100 datasheet PDF, EFM32LG880F128-QFP100 amp .Beyond Microcontrollers Silicon Labs EFM32LG880F128-QFP100 ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32LG880F128-QFP100


Microcontrollers Silicon Labs EFM32LG880F128-QFP100 Overview

The Silicon Labs EFM32LG880F128-QFP100 is a high-performance, low-power 32-bit microcontroller designed for a range of demanding applications. As part of the Silicon Labs' energy-friendly EFM32 Leopard Gecko family, this microcontroller combines leading-edge processing capabilities with advanced power management features, making it an ideal choice for applications requiring both robust computational power and energy efficiency. The Microcontrollers Silicon Labs EFM32LG880F128-QFP100 excels in environments where prolonged battery life and minimized power consumption are critical.

EFM32LG880F128-QFP100 Features

This microcontroller boasts a 32-bit ARM Cortex-M3 processor, which provides a maximum CPU speed of 48 MHz. It includes 128 KB of flash memory and 32 KB of RAM, supporting complex algorithms and data-intensive applications. The EFM32LG880F128-QFP100 also features multiple low-energy modes, reducing power consumption to as low as 0.9 μA in deep sleep mode. Additionally, it offers a variety of peripherals, including USART, I2C, and ADC, all designed to enhance connectivity and sensor integration.

EFM32LG880F128-QFP100 Applications

  • Smart Metering: Utilizes its low-energy modes and robust processing capacity to handle data analysis and communication tasks efficiently, extending battery life in residential and commercial metering devices.
  • Home Automation: Integrates seamlessly into home automation systems, providing core processing capabilities for managing devices such as smart thermostats and lighting systems.
  • Wearable Technology: Supports the development of wearable devices like fitness trackers or smartwatches by balancing performance and power consumption, ensuring longer battery life.
  • Medical Monitoring: Ideal for portable medical diagnostics and monitoring systems, where its low power usage and significant memory capacity can support complex sensor data processing and patient data storage.
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