EFM32LG232F128G-E-QFP64R

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Mfr.Part #
EFM32LG232F128G-E-QFP64R
Manufacturer
Silicon Labs
Package / Case
64-TQFP
Datasheet
Download
Description
IC MCU 32BIT 128KB FLASH 64TQFP
Stock
29,385
In Stock :
29,385

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Number of Pins :
64
Published :
2014
RoHS Status :
RoHS Compliant
Pbfree Code :
yes
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Program Memory Type :
Flash
Program Memory Size :
128KB 128K x 8
Memory Size :
128kB
Number of I/O :
53
Packaging :
Cut Tape (CT)
Mounting Type :
Surface Mount
Data Bus Width :
32b
Core Processor :
ARM® Cortex®-M3
Data Converter :
A/D 8x12b; D/A 2x12b
Core Size :
32-Bit
Watchdog Timer :
yes
Number of Timers/Counters :
5
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Operating Temperature :
-40°C~85°C TA
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Connectivity :
I2C, IrDA, SmartCard, SPI, UART/USART
Radiation Hardening :
No
Package / Case :
64-TQFP
Operating Supply Voltage :
3.8V
Interface :
I2C, I2S, IrDA, SPI, UART, USART, USB
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Core Architecture :
ARM
Factory Lead Time :
6 Weeks
RAM Size :
32K x 8
Frequency :
48MHz
Oscillator Type :
Internal
Series :
Leopard Gecko
Introducing Microcontrollers Silicon Labs EFM32LG232F128G-E-QFP64R from Chip IC,where excellence meets affordability. This product stands out with its Number of Pins:64, Mounting Type:Surface Mount, Operating Temperature:-40°C~85°C TA, Package / Case:64-TQFP, EFM32LG232F128G-E-QFP64R pinout, EFM32LG232F128G-E-QFP64R datasheet PDF, EFM32LG232F128G-E-QFP64R amp .Beyond Microcontrollers Silicon Labs EFM32LG232F128G-E-QFP64R ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32LG232F128G-E-QFP64R


Microcontrollers Silicon Labs EFM32LG232F128G-E-QFP64R Overview

The Silicon Labs EFM32LG232F128G-E-QFP64R microcontroller is engineered for superior performance and energy efficiency. This component, from the renowned Silicon Labs Leopard Gecko series, integrates a powerful ARM Cortex-M3 processor capable of operating at up to 48 MHz, making it ideal for applications demanding high-speed processing and low-power consumption. With 128 KB of flash memory and 32 KB of RAM, it provides ample space for complex algorithms and data buffering in embedded systems. The incorporation of advanced peripherals, including ADCs, DACs, and timers, enhances its functionality for a broad range of industrial applications. Its robust 64-TQFP package ensures reliable integration into various circuit designs, making it a top choice for developers aiming to optimize system performance and power efficiency in their electronic products.

EFM32LG232F128G-E-QFP64R Features

This microcontroller stands out with its extensive set of features tailored to meet the needs of modern embedded systems:

  • 32-bit ARM Cortex-M3 core for efficient processing.
  • 128 KB of flash memory and 32 KB of RAM.
  • Energy-efficient architecture, ideal for battery-powered devices.
  • Comprehensive set of peripherals including multiple GPIOs, ADCs, DACs, and USARTs.
  • Up to 48 MHz clock speed for high-performance applications.
  • Durable 64-TQFP packaging for reliable physical integration.

EFM32LG232F128G-E-QFP64R Applications

  • Smart Home Devices: Utilizes its low power consumption and robust processing capacity to manage complex tasks in smart thermostats, lighting systems, and security devices.
  • Industrial Automation: Supports automation controllers with its high-speed CPU and ample memory, improving the efficiency and reliability of automated production lines.
  • Portable Medical Devices: Ideal for handheld medical diagnostics or monitoring equipment due to its energy efficiency and capability to handle multiple input/output operations.
  • Wearable Technology: Its small form factor and low power usage make it suitable for fitness trackers and smart watches, enhancing user experience with prolonged battery life.
  • Energy Management Systems: Helps in optimizing energy consumption and monitoring through its extensive peripheral set and efficient data processing capabilities.
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