EFM32ZG108F16-QFN24T Allicdata Electronics
Allicdata Part #:

EFM32ZG108F16-QFN24T-ND

Manufacturer Part#:

EFM32ZG108F16-QFN24T

Price: $ 0.84
Product Category:

Integrated Circuits (ICs)

Manufacturer: Silicon Labs
Short Description: IC MCU 32BIT 16KB FLASH 24QFN
More Detail: ARM® Cortex®-M0+ Zero Gecko Microcontroller IC 32-...
DataSheet: EFM32ZG108F16-QFN24T datasheetEFM32ZG108F16-QFN24T Datasheet/PDF
Quantity: 978
1 +: $ 0.76230
25 +: $ 0.69854
100 +: $ 0.63504
1000 +: $ 0.57154
Stock 978Can Ship Immediately
$ 0.84
Specifications
Program Memory Size: 16KB (16K x 8)
Supplier Device Package: 24-QFN (5x5)
Package / Case: 24-VQFN Exposed Pad
Operating Temperature: -40°C ~ 85°C (TA)
Oscillator Type: Internal
Data Converters: --
Voltage - Supply (Vcc/Vdd): 1.85 V ~ 3.8 V
RAM Size: 4K x 8
EEPROM Size: --
Program Memory Type: FLASH
Series: Zero Gecko
Number of I/O: 17
Peripherals: Brown-out Detect/Reset, DMA, I²S, POR, PWM, WDT
Connectivity: I²C, IrDA, SmartCard, SPI, UART/USART
Speed: 24MHz
Core Size: 32-Bit
Core Processor: ARM® Cortex®-M0+
Part Status: Active
Packaging: Tray 
Description

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The EFM32ZG108F16-QFN24T is an 8-bit microcontroller that is widely used for embedded embedded systems. The processor features a predictable, low-power design that operates at up to 24 MHz and provides a wide range of analog and digital I/O pins. It is a versatile device, making it ideal for a diverse range of applications including data logging and control systems. This article will explore the application field and working principle of the EFM32ZG108F16-QFN24T.

The EFM32ZG108F16-QFN24T microcontroller is designed to be used in a wide range of embedded systems applications. Its low-power, high-performance design enables it to be used in portable applications and products that require low-power, but high-speed processing, such as battery-powered medical equipment. Its built-in analog features make it suitable for sensor interfacing, allowing it to collect data from various sensors with high accuracy, which is essential for various automotive, medical and industrial applications. Furthermore, its on-chip memory (1K of RAM and 8K of Flash) make it particularly suitable for data storage and control applications, such as complex intelligent systems that feature self-learning capabilities.

The EFM32ZG108F16-QFN24T microcontroller features an updated architecture that provides extended instruction sets, improved execution times and greater security. Its instruction sets include a advanced ThumbEE instruction set and a Cortex-M3 core with memory protection system. This microcontroller\'s extended instruction sets enable it to have more complex programs and higher performance operations. In addition, its improved execution time allows the EFM32ZG108F16-QFN24T to process large amounts of data and operations quickly, making it ideal for fast response embedded applications.

The working principle of the EFM32ZG108F16-QFN24T microcontroller is based on its Cortex-M3 processor core. This microcontroller can execute codes written in C and C++ languages, making it popular with embedded developers. The Cortex-M3 core of the EFM32ZG108F16-QFN24T is capable of executing several different modes of operation, such as Thread, Handler Mode and Supervisor Mode. This allows the EFM32ZG108F16-QFN24T to run multiple programs at once, making it suitable for various real-time tasks. Furthermore, its built-in memory protection system ensures that all data and programs that are stored in the microcontroller are secure and protected from malicious damage or manipulation.

The EFM32ZG108F16-QFN24T microcontroller is a highly capable device and provides a fantastic platform for embedded development. Its low-power design, high-performance processing capabilities and advanced instruction sets make it a great choice for any type of embedded system. Furthermore, its fast execution time and security measures make it an ideal choice for all types of control and data logging applications, such as automotive, medical and industrial applications.

The specific data is subject to PDF, and the above content is for reference

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