EFM32LG280F256G-E-QFP100R

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Mfr.Part #
EFM32LG280F256G-E-QFP100R
Manufacturer
Silicon Labs
Package / Case
100-LQFP
Datasheet
Download
Description
IC MCU 32BIT 256KB FLASH 100LQFP
Stock
1,314
In Stock :
1,314

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Oscillator Type :
Internal
Package / Case :
100-LQFP
Data Bus Width :
32b
Number of I/O :
86
Factory Lead Time :
6 Weeks
Core Architecture :
ARM
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Connectivity :
EBI/EMI, I2C, IrDA, SmartCard, SPI, UART/USART, USB
RoHS Status :
RoHS Compliant
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Weight :
1.319103g
Time@Peak Reflow Temperature-Max (s) :
NOT SPECIFIED
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Program Memory Size :
256KB 256K x 8
Watchdog Timer :
yes
Published :
2014
Peak Reflow Temperature (Cel) :
NOT SPECIFIED
Series :
Leopard Gecko
Frequency :
48MHz
Packaging :
Cut Tape (CT)
Interface :
EBI/EMI, I2C, I2S, IrDA, SPI, UART, USART, USB
Number of Timers/Counters :
5
Pbfree Code :
yes
Number of Programmable I/O :
85
Core Processor :
ARM® Cortex®-M3
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Memory Size :
256KB
Data Converter :
A/D 8x12b; D/A 2x12b
Contact Plating :
Gold
Mount :
Surface Mount
Number of Pins :
100
Program Memory Type :
Flash
RAM Size :
32K x 8
Mounting Type :
Surface Mount
Operating Temperature :
-40°C~85°C TA
Core Size :
32-Bit
Introducing Microcontrollers Silicon Labs EFM32LG280F256G-E-QFP100R from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:100-LQFP, Number of Pins:100, Mounting Type:Surface Mount, Operating Temperature:-40°C~85°C TA, EFM32LG280F256G-E-QFP100R pinout, EFM32LG280F256G-E-QFP100R datasheet PDF, EFM32LG280F256G-E-QFP100R amp .Beyond Microcontrollers Silicon Labs EFM32LG280F256G-E-QFP100R ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32LG280F256G-E-QFP100R


Microcontrollers Silicon Labs EFM32LG280F256G-E-QFP100R Overview

Introducing the Microcontrollers Silicon Labs EFM32LG280F256G-E-QFP100R, a state-of-the-art microcontroller unit (MCU) designed for sophisticated applications that require low power consumption and high performance. This MCU is built on Silicon Labs' advanced technology, featuring a 32-bit architecture that supports extensive application demands. With 256KB of flash memory housed in a compact 100-pin LQFP package, it provides a scalable, flexible solution for developers looking to push the boundaries of IoT and embedded system applications.

EFM32LG280F256G-E-QFP100R Features

The EFM32LG280F256G-E-QFP100R MCU offers a comprehensive range of features that enhance its utility and efficiency in various applications. These include an energy-efficient ARM Cortex-M3 processor, which ensures optimal performance with minimal power output. The integration of 256KB of flash along with 32KB of RAM facilitates complex algorithm executions and data buffering without compromise. Additional functionalities such as multiple GPIOs, ADCs, DACs, PWM channels, and dedicated communication peripherals support extensive interfacing and real-time control capabilities.

EFM32LG280F256G-E-QFP100R Applications

  • Smart Home Devices: Utilized in smart thermostats, lighting controls, and security systems, this MCU can manage multiple sensor inputs while maintaining low energy consumption.
  • Industrial Automation: Suitable for use in automation controllers and monitoring systems, providing reliable processing capabilities that can handle complex tasks and communication protocols.
  • Wearable Technology: Ideal for fitness trackers and smart watches, its power efficiency and compact form factor enable enhanced functionality and extended battery life.
  • Medical Monitoring Systems: Deployed in portable health monitoring devices, offering precise measurements and connectivity while ensuring patient comfort and device longevity.
  • Energy Management: Applied in smart meters and HVAC control systems to optimize energy usage and perform real-time data analysis for efficient operation.
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