EFM32G200F32G-E-QFN32R

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Mfr.Part #
EFM32G200F32G-E-QFN32R
Manufacturer
Silicon Labs
Package / Case
32-VQFN Exposed Pad
Datasheet
Download
Description
IC MCU 32BIT 32KB FLASH 32QFN
Stock
15,395
In Stock :
15,395

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Connectivity :
I2C, IrDA, SmartCard, SPI, UART/USART
RoHS Status :
RoHS Compliant
External Data Bus Width :
16
Package / Case :
32-VQFN Exposed Pad
Supply Voltage-Min (Vsup) :
1.98V
Core Size :
32-Bit
DAC Channels :
yes
Terminal Form :
NO LEAD
Peripherals :
Brown-out Detect/Reset, DMA, POR, PWM, WDT
Bit Size :
32
Supply Voltage-Max (Vsup) :
3.8V
Packaging :
Tape and Reel (TR)
HTS Code :
8542.31.00.01
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Number of Terminations :
32
Clock Frequency :
32MHz
Operating Temperature :
-40°C~85°C TA
Address Bus Width :
16
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Surface Mount :
yes
Number of I/O :
24
PWM Channels :
yes
Width :
6mm
Oscillator Type :
Internal
Data Converter :
A/D 4x12b; D/A 1x12b
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
On Chip Program ROM Width :
8
Terminal Position :
QUAD
RAM (bytes) :
8192
DMA Channels :
yes
Program Memory Size :
32KB 32K x 8
Length :
6mm
Has ADC :
yes
Mounting Type :
Surface Mount
Core Processor :
ARM® Cortex®-M3
ROM (words) :
32768
Height Seated (Max) :
0.9mm
RAM Size :
8K x 8
Reach Compliance Code :
Compliant
Supply Voltage :
3V
JESD-30 Code :
S-XQCC-N32
Terminal Pitch :
0.65mm
Series :
Gecko
Program Memory Type :
Flash
Factory Lead Time :
8 Weeks
Speed :
32MHz
Introducing Microcontrollers Silicon Labs EFM32G200F32G-E-QFN32R from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:32-VQFN Exposed Pad, Number of Terminations:32, Operating Temperature:-40°C~85°C TA, Mounting Type:Surface Mount, EFM32G200F32G-E-QFN32R pinout, EFM32G200F32G-E-QFN32R datasheet PDF, EFM32G200F32G-E-QFN32R amp .Beyond Microcontrollers Silicon Labs EFM32G200F32G-E-QFN32R ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32G200F32G-E-QFN32R


Microcontrollers Silicon Labs EFM32G200F32G-E-QFN32R Overview

The Silicon Labs EFM32G200F32G-E-QFN32R is a highly efficient microcontroller tailored for applications demanding low power consumption and high-performance data processing. This microcontroller integrates a 32-bit ARM Cortex-M3 processor, which not only ensures compatibility with various industrial standards but also provides a robust platform for developing complex applications. With its 32KB of flash memory and advanced power management features, it stands out as a leading choice for engineers and designers aiming to optimize their electronic products for better operational efficiency and reliability. The incorporation of this Microcontrollers Silicon Labs EFM32G200F32G-E-QFN32R into your designs can significantly enhance product performance while reducing power costs.

EFM32G200F32G-E-QFN32R Features

This microcontroller from Silicon Labs features a range of impressive attributes including 32KB of flash memory, a 32-bit ARM Cortex-M3 core, and low-energy consumption modes. The package comes in a compact 32-QFN form, making it ideal for space-constrained applications. Additional features include multiple GPIOs, ADCs, and communication protocols like I2C, SPI, and UART, which provide excellent integration flexibility in various system architectures.

EFM32G200F32G-E-QFN32R Applications

  • Wearable Devices: Its low power consumption makes it suitable for smartwatches and fitness trackers, where extended battery life is critical.
  • Smart Home Automation: Utilized in smart thermostats and lighting systems, offering reliability and enhanced connectivity features to seamlessly integrate with home networks.
  • Industrial Control: Effective in managing processes within automated production lines, providing robust performance and adaptability to varied industrial environments.
  • Medical Devices: Ideal for handheld medical instruments where precision and efficiency are necessary for patient monitoring and diagnostics.
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