EFM32LG230F128G-E-QFN64

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Mfr.Part #
EFM32LG230F128G-E-QFN64
Manufacturer
Silicon Labs
Package / Case
QFN
Datasheet
Download
Description
IC MCU 32BIT 128KB FLASH 64QFN
Stock
1
In Stock :
1

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
JESD-30 Code :
S-XQCC-N64
Terminal Position :
QUAD
Radiation Hardening :
No
Memory Type :
Flash
Number of Terminations :
64
Oscillator Type :
Internal
RAM Size :
32kB
Temperature Grade :
Industrial
Number of Timers/Counters :
5
DAC Channels :
yes
Frequency :
48MHz
Memory Size :
128kB
Factory Lead Time :
6 Weeks
Bit Size :
32
Min Operating Temperature :
-40°C
Max Operating Temperature :
85°C
Weight :
206.29948mg
ECCN Code :
3A001.A.3
RoHS Status :
RoHS Compliant
Interface :
I2C, I2S, IrDA, SPI, UART, USART, USB
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Core Architecture :
ARM
DMA Channels :
yes
Data Bus Width :
32b
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Operating Supply Voltage :
3.8V
Watchdog Timer :
yes
Package / Case :
QFN
Frequency (Max) :
48MHz
Surface Mount :
yes
Length :
9mm
Has ADC :
yes
Published :
2011
PWM Channels :
yes
Number of Programmable I/O :
56
Height Seated (Max) :
0.9mm
Number of I/O :
56
Supply Voltage :
3V
Introducing Microcontrollers Silicon Labs EFM32LG230F128G-E-QFN64 from Chip IC,where excellence meets affordability. This product stands out with its Number of Terminations:64, Package / Case:QFN, EFM32LG230F128G-E-QFN64 pinout, EFM32LG230F128G-E-QFN64 datasheet PDF, EFM32LG230F128G-E-QFN64 amp .Beyond Microcontrollers Silicon Labs EFM32LG230F128G-E-QFN64 ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32LG230F128G-E-QFN64


Microcontrollers Silicon Labs EFM32LG230F128G-E-QFN64 Overview

The EFM32LG230F128G-E-QFN64 by Silicon Labs stands as a cornerstone in the world of advanced microcontrollers, engineered to cater to demanding applications that require low power consumption and high performance. This 32-bit MCU harnesses the power of an ARM Cortex-M3 processor, providing an optimal balance between energy efficiency and processing capability. With 128KB of flash memory, it offers ample space for application code and data storage, making it a versatile choice for developers looking to leverage high-performance computing in compact form factors. The integration in a 64-QFN package ensures a minimal footprint on PCBs, enhancing its suitability for space-constrained applications. The incorporation of this microcontroller into your design facilitates enhanced system efficiency, reliability, and performance.

EFM32LG230F128G-E-QFN64 Features

This Silicon Labs microcontroller is packed with features designed for robustness and versatility:

  • 32-bit ARM Cortex-M3 processor - Delivers efficient processing for complex algorithms and control systems.
  • 128KB Flash memory - Provides substantial capacity for user applications and data.
  • Energy Efficient - Low power consumption modes for energy-critical applications.
  • 64-QFN package - Compact footprint for space-sensitive designs.
  • Extensive peripheral set - Includes GPIO, Timers, ADC, DAC, and USART, supporting a wide range of functionalities.

EFM32LG230F128G-E-QFN64 Applications

  • Smart Wearables

    The low power consumption and small size make it ideal for smartwatches, fitness bands, and other wearable technology, where prolonged battery life and compactness are crucial.

  • Home Automation Systems

    Its robust I/O capabilities enable it to connect with various sensors and actuators, making it perfect for smart home hubs and automation controllers.

  • Energy Management

    Utilizes advanced energy-saving modes to manage and reduce the energy consumption of devices, ideal for systems designed for energy efficiency monitoring and improvement.

  • Healthcare Devices

    The high reliability and precision ADC support make it suitable for healthcare applications such as portable medical monitoring devices.

  • Industrial Control

    With its ability to handle complex algorithms and multiple control tasks, it serves effectively in automation controls and process monitoring within industrial settings.

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