EFM32G222F64G-E-QFP48R

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Mfr.Part #
EFM32G222F64G-E-QFP48R
Manufacturer
Silicon Labs
Package / Case
48-TQFP
Datasheet
Download
Description
IC MCU 32BIT 64KB FLASH 48TQFP
Stock
1,000
In Stock :
1,000

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Core Processor :
ARM® Cortex®-M3
RAM Size :
16K x 8
Program Memory Size :
64KB 64K x 8
Package / Case :
48-TQFP
JESD-30 Code :
S-PQFP-G48
Length :
7mm
Packaging :
Tape and Reel (TR)
On Chip Program ROM Width :
8
Supply Voltage-Min (Vsup) :
1.98V
Operating Temperature :
-40°C~85°C TA
Terminal Position :
QUAD
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Clock Frequency :
32MHz
Series :
Gecko
Core Size :
32-Bit
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Terminal Form :
Gull wing
Mounting Type :
Surface Mount
Number of Terminations :
48
DMA Channels :
yes
RoHS Status :
RoHS Compliant
Oscillator Type :
Internal
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Number of I/O :
37
Surface Mount :
yes
Factory Lead Time :
8 Weeks
Supply Voltage :
3V
Speed :
32MHz
HTS Code :
8542.31.00.01
Supply Voltage-Max (Vsup) :
3.8V
Reach Compliance Code :
Compliant
ROM (words) :
65536
Data Converter :
A/D 4x12b; D/A 1x12b
DAC Channels :
yes
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Program Memory Type :
Flash
Width :
7mm
Height Seated (Max) :
1.2mm
Bit Size :
32
PWM Channels :
yes
RAM (bytes) :
16384
Connectivity :
I2C, IrDA, SmartCard, SPI, UART/USART
Terminal Pitch :
0.5mm
Has ADC :
yes
Introducing Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48R from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:48-TQFP, Operating Temperature:-40°C~85°C TA, Mounting Type:Surface Mount, Number of Terminations:48, EFM32G222F64G-E-QFP48R pinout, EFM32G222F64G-E-QFP48R datasheet PDF, EFM32G222F64G-E-QFP48R amp .Beyond Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48R ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32G222F64G-E-QFP48R


Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48R Overview

Introducing the high-performance EFM32G222F64G-E-QFP48R from Silicon Labs, a robust microcontroller designed to meet the demanding requirements of modern embedded applications. This Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48R MCU integrates advanced features into a compact 48TQFP package, offering significant flexibility and power efficiency. With a 32-bit architecture and 64KB of flash memory, it excels in applications requiring quick processing and substantial code storage. Its low power consumption makes it ideal for battery-powered devices, while its comprehensive set of peripherals supports a variety of functionalities, making it an excellent choice for designers looking to optimize performance and reduce development time.

EFM32G222F64G-E-QFP48R Features

This microcontroller boasts a range of features that enhance its utility in complex electronic systems. Its 32-bit ARM Cortex-M3 processor delivers exceptional speed and efficiency. The MCU's 64KB of flash memory ensures ample space for applications without the need for external memory components. Additional features include low-energy sensors, multiple communication interfaces like I2C, SPI, and USART, and robust security protocols to protect against data breaches, providing a versatile platform for a wide range of industrial and consumer products.

EFM32G222F64G-E-QFP48R Applications

  • Smart Home Devices: Integrates seamlessly into home automation systems, providing core processing capabilities for managing devices such as smart thermostats and security systems.
  • Wearable Technology: Due to its low power consumption, it is ideal for wearable devices, supporting continuous sensor data processing and connectivity while extending battery life.
  • Industrial Automation: Drives complex machinery with its robust processing power, capable of handling multiple sensor inputs and actuator outputs efficiently.
  • Healthcare Equipment: Can be employed in medical monitoring systems, where precision and reliability are critical for patient care and data accuracy.
  • Energy Management: Provides the computational ability necessary to optimize energy consumption in systems like smart grids and solar power inverters.
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