EFM32PG22C200F64IM40-C

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Mfr.Part #
EFM32PG22C200F64IM40-C
Manufacturer
Silicon Labs
Package / Case
QFN-40
Datasheet
Download
Description
IC MCU 32BIT 64KB FLASH 40QFN
Stock
420
In Stock :
420

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Supplier Device Package :
40-QFN (5x5)
Voltage - Supply (Vcc/Vdd) :
1.71V ~ 3.8V
Data Bus Width :
32bit
Interfaces :
I2C, I2S, SPI, UART, USART
Speed :
76.8MHz
Product Status :
Active
RoHS :
Details
Base Product Number :
EFM32PG22C200
Core Processor :
ARM® Cortex®-M33
Product :
MCU+FPU
Package / Case :
QFN-40
Product Type :
ARM Microcontrollers - MCU
Oscillator Type :
External, Internal
Package :
Tray
Product Category :
ARM Microcontrollers - MCU
Core Size :
32-Bit Single-Core
EEPROM Size :
-
Operating Temperature :
-40°C ~ 125°C (TA)
Device Core :
ARM Cortex-M33
Manufacturer :
Silicon Laboratories
Number of I/Os :
26 I/O
Mounting Type :
Surface Mount
Subcategory :
Microcontrollers - MCU
Brand :
Silicon Labs
Program Memory Type :
Flash
Mounting Style :
SMD/SMT
Minimum Operating Temperature :
- 40 C
Number of I/O :
26
Program Memory Size :
64KB
Packaging :
Tray
Connectivity :
I2C, SMBus, SPI, UART/USART
Maximum Operating Temperature :
+ 125 C
Number of Timers/Counters :
4 x 16 bit, 1 x 32 bit
RAM Size :
32K x 8
Data Converters :
A/D 16x12b SAR, 16x16b Sigma-Delta
Series :
Gecko
Interface Type :
I2C, I2S, SPI, UART
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Introducing Microcontrollers Silicon Labs EFM32PG22C200F64IM40-C from Xinshop,where excellence meets affordability. This product stands out with its Package / Case:QFN-40, Operating Temperature:-40°C ~ 125°C (TA), Mounting Type:Surface Mount, EFM32PG22C200F64IM40-C pinout, EFM32PG22C200F64IM40-C datasheet PDF, EFM32PG22C200F64IM40-C amp .Beyond Microcontrollers Silicon Labs EFM32PG22C200F64IM40-C ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32PG22C200F64IM40-C


Microcontrollers Silicon Labs EFM32PG22C200F64IM40-C Overview

The Microcontrollers Silicon Labs EFM32PG22C200F64IM40-C is a cutting-edge microcontroller unit (MCU) engineered for demanding applications that require robust performance and high efficiency. This 32-bit MCU is part of Silicon Labs' energy-friendly EFM32 Pearl Gecko family, designed to deliver exceptional power efficiency without compromising on processing capabilities. Equipped with 64KB of flash memory and housed in a compact 40QFN package, this MCU is perfect for developers looking to push the boundaries of IoT and embedded system applications. Its versatile feature set supports a wide range of functionalities from basic control systems to more complex Internet-connected devices.

EFM32PG22C200F64IM40-C Features

This microcontroller from Silicon Labs stands out with its high-performance 32-bit ARM Cortex-M33 core, which provides a balance between efficiency and processing power. The EFM32PG22C200F64IM40-C also includes 64KB of flash memory and 32KB of RAM, supporting advanced operations and multitasking. Other notable features include its low energy consumption modes, robust security protocols, and extensive peripheral set, which enhance its suitability for scalable IoT solutions.

EFM32PG22C200F64IM40-C Applications

  • Smart Home Devices: Integrates seamlessly into home automation systems, providing the processing power needed for device control and communication with other smart devices.
  • Wearable Technology: Powers compact wearable devices due to its low power consumption and small footprint, enabling longer battery life and continuous health tracking functionalities.
  • Energy Management: Ideal for use in energy monitoring systems, leveraging its efficiency and robust processing capabilities to handle data-intensive operations.
  • Industrial Automation: Serves as the brain for various industrial controls, offering reliable performance under challenging conditions, and capable of handling multiple tasks simultaneously.
  • IoT Gateways: Essential in managing data flow and connectivity in IoT ecosystems, ensuring smooth and secure communication between devices and the cloud.
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