EFM32TG11B340F64IM64-A

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Mfr.Part #
EFM32TG11B340F64IM64-A
Manufacturer
Silicon Labs
Package / Case
64-VFQFN Exposed Pad
Datasheet
Download
Description
IC MCU 32BIT 64KB FLASH 64QFN
Stock
37,650
In Stock :
37,650

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Program Memory Size :
64KB 64K x 8
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER
Speed :
48MHz
Peripherals :
Brown-out Detect/Reset, DMA, I2S, LCD, POR, PWM, WDT
RAM Size :
32K x 8
Package / Case :
64-VFQFN Exposed Pad
RoHS Status :
RoHS Compliant
Core Size :
32-Bit
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Series :
Tiny Gecko 1
Mounting Type :
Surface Mount
Reach Compliance Code :
Compliant
Core Processor :
ARM® Cortex®-M0+
Connectivity :
CANbus, I2C, IrDA, LINbus, SmartCard, SPI, UART/USART
Operating Temperature :
-40°C~125°C TJ
Voltage - Supply (Vcc/Vdd) :
1.8V~3.8V
Program Memory Type :
Flash
Data Converter :
A/D 12bit SAR; D/A 12bit
Packaging :
Tray
Number of I/O :
53
Oscillator Type :
Internal
Introducing Microcontrollers Silicon Labs EFM32TG11B340F64IM64-A from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:64-VFQFN Exposed Pad, Mounting Type:Surface Mount, Operating Temperature:-40°C~125°C TJ, EFM32TG11B340F64IM64-A pinout, EFM32TG11B340F64IM64-A datasheet PDF, EFM32TG11B340F64IM64-A amp .Beyond Microcontrollers Silicon Labs EFM32TG11B340F64IM64-A ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32TG11B340F64IM64-A


Microcontrollers Silicon Labs EFM32TG11B340F64IM64-A Overview

Introducing the robust and versatile EFM32TG11B340F64IM64-A from Silicon Labs—a high-performance microcontroller designed to cater to advanced embedded applications. This microcontroller is a part of Silicon Labs' Energy Friendly Microcontroller Series, which is engineered to maximize efficiency and minimize power consumption. Equipped with a 32-bit ARM Cortex-M4 core, it boasts 64KB of flash memory and operates at an impressive range of clock speeds, offering the optimal balance between performance and power usage. The EFM32TG11B340F64IM64-A is encapsulated in a compact 64QFN package, making it ideal for space-constrained applications while maintaining a full set of connectivity and sensor options. This makes the Microcontrollers Silicon Labs EFM32TG11B340F64IM64-A an excellent choice for developers looking to push the boundaries of IoT and portable device development.

EFM32TG11B340F64IM64-A Features

This microcontroller is built to offer several advanced features:

  • 32-bit ARM Cortex-M4 Core: Provides high efficiency and fast processing capabilities.
  • 64KB Flash Memory: Ample storage for firmware and applications, facilitating complex operations.
  • Low Power Consumption: Ideal for battery-powered devices, enhancing product longevity.
  • Compact 64QFN Package: Ensures a minimal footprint on physical board layouts.
  • Flexible Connectivity: Supports a range of interfaces, including UART, SPI, and I2C for comprehensive peripheral integration.

EFM32TG11B340F64IM64-A Applications

  • Wearable Technology: Utilizes low power consumption and compact size to optimize performance for fitness trackers and smart watches. This microcontroller can manage sensor data processing and user interface updates seamlessly.
  • Smart Home Devices: Empowers the development of connected home automation systems such as smart thermostats and security devices, providing efficient processing capabilities and connectivity options.
  • Energy Management: Ideal for integration into smart meters and HVAC control systems, leveraging its energy-efficient features to extend battery life and reduce power usage.
  • Healthcare Equipment: Supports features necessary for portable medical devices, including patient monitoring systems, where precision and efficiency are critical.
  • Industrial Automation: Can be used in machine control units and automation controllers, offering robust processing capabilities and multiple communication interfaces to handle complex tasks.
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