EFM32G222F64G-E-QFP48

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Mfr.Part #
EFM32G222F64G-E-QFP48
Manufacturer
Silicon Labs
Package / Case
48-TQFP
Datasheet
Download
Description
IC MCU 32BIT 64KB FLASH 48TQFP
Stock
1,161
In Stock :
1,161

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Series :
Gecko
Supply Voltage-Min (Vsup) :
1.98V
Connectivity :
I2C, IrDA, SmartCard, SPI, UART/USART
Length :
7mm
Supply Voltage-Max (Vsup) :
3.8V
HTS Code :
8542.31.00.01
Terminal Position :
QUAD
RAM Size :
16K x 8
Height Seated (Max) :
1.2mm
Core Processor :
ARM® Cortex®-M3
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
PWM Channels :
yes
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Clock Frequency :
32MHz
On Chip Program ROM Width :
8
Operating Temperature :
-40°C~85°C TA
DMA Channels :
yes
DAC Channels :
yes
Speed :
32MHz
Program Memory Size :
64KB 64K x 8
Factory Lead Time :
8 Weeks
Number of Terminations :
48
Number of I/O :
37
Packaging :
Tray
Data Converter :
A/D 4x12b; D/A 1x12b
RoHS Status :
RoHS Compliant
Surface Mount :
yes
Terminal Pitch :
0.5mm
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Width :
7mm
Core Size :
32-Bit
Package / Case :
48-TQFP
Bit Size :
32
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
ROM (words) :
65536
External Data Bus Width :
16
Terminal Form :
Gull wing
Program Memory Type :
Flash
Supply Voltage :
3V
Mounting Type :
Surface Mount
Has ADC :
yes
Oscillator Type :
Internal
Address Bus Width :
16
Reach Compliance Code :
Compliant
RAM (bytes) :
16384
JESD-30 Code :
S-PQFP-G48
Introducing Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48 from Chip IC,where excellence meets affordability. This product stands out with its Operating Temperature:-40°C~85°C TA, Number of Terminations:48, Package / Case:48-TQFP, Mounting Type:Surface Mount, EFM32G222F64G-E-QFP48 pinout, EFM32G222F64G-E-QFP48 datasheet PDF, EFM32G222F64G-E-QFP48 amp .Beyond Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48 ,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-QFP48


Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48 Overview

The Silicon Labs EFM32G222F64G-E-QFP48 is a cutting-edge microcontroller unit (MCU) designed for efficiency and flexibility. Equipped with a 32-bit ARM Cortex-M3 processor, it boasts 64KB of flash memory and operates across a wide range of voltages, making it ideal for extending battery life in power-sensitive applications. The use of a 48-pin TQFP package ensures a compact footprint while maintaining ease of integration into various designs. This MCU is a prime choice for developers looking to create advanced, energy-efficient products, emphasizing the key features that the Microcontrollers Silicon Labs EFM32G222F64G-E-QFP48 brings to sophisticated electronic designs.

EFM32G222F64G-E-QFP48 Features

This microcontroller offers several features that enhance its performance and suitability for a wide range of applications:

  • 32-bit ARM Cortex-M3 processor for efficient data handling and processing speed.
  • 64KB of flash memory, providing ample space for program storage and complex algorithm implementations.
  • Low energy consumption, ideal for battery-powered applications.
  • Wide operating voltage range, accommodating various power supplies and conditions.
  • 48-pin TQFP packaging that supports compact designs without sacrificing performance.

EFM32G222F64G-E-QFP48 Applications

  • Smart wearables: Integrates into devices like fitness trackers and smartwatches, where its energy efficiency maximizes battery life.
  • Home automation systems: Powers devices such as smart thermostats and security systems, leveraging its processing capabilities for complex control algorithms.
  • Industrial monitoring: Utilized in sensors and monitoring systems that require constant operation, ensuring reliability and efficiency in harsh environments.
  • Healthcare devices: Serves in medical monitoring equipment, where precision and low power consumption are crucial for patient care and device longevity.
  • Energy management: Ideal for systems that manage energy consumption in smart grids or renewable energy sources, where efficient processing is essential.
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