EFM32ZG210F8-B-QFN32

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Mfr.Part #
EFM32ZG210F8-B-QFN32
Manufacturer
Silicon Labs
Package / Case
32-VQFN Exposed Pad
Datasheet
Download
Description
IC MCU 32BIT 8KB FLASH 32QFN
Stock
475
In Stock :
475

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Speed :
24MHz
Program Memory Size :
8KB 8K x 8
Terminal Position :
QUAD
Data Converter :
A/D 4x12b; D/A 1x12b
Connectivity :
I2C, SMBus, SPI, UART/USART
PWM Channels :
yes
Core Size :
32-Bit
Length :
6mm
Mounting Type :
Surface Mount
Series :
Zero Gecko
Number of I/O :
24
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Supply Voltage-Max (Vsup) :
3.8V
DMA Channels :
yes
Surface Mount :
yes
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Supply Voltage :
3V
Core Processor :
ARM® Cortex®-M0+
Peripherals :
Brown-out Detect/Reset, DMA, I2S, POR, PWM, WDT
Width :
6mm
Terminal Pitch :
0.65mm
RoHS Status :
ROHS3 Compliant
Program Memory Type :
Flash
Oscillator Type :
Internal
Package / Case :
32-VQFN Exposed Pad
Terminal Form :
NO LEAD
Supply Voltage-Min (Vsup) :
1.98V
Operating Temperature :
-40°C~85°C TA
Number of Terminations :
32
Factory Lead Time :
8 Weeks
RAM Size :
2K x 8
Bit Size :
32
Packaging :
Tray
Has ADC :
yes
Introducing Microcontrollers Silicon Labs EFM32ZG210F8-B-QFN32 from Chip IC,where excellence meets affordability. This product stands out with its Mounting Type:Surface Mount, Package / Case:32-VQFN Exposed Pad, Operating Temperature:-40°C~85°C TA, Number of Terminations:32, EFM32ZG210F8-B-QFN32 pinout, EFM32ZG210F8-B-QFN32 datasheet PDF, EFM32ZG210F8-B-QFN32 amp .Beyond Microcontrollers Silicon Labs EFM32ZG210F8-B-QFN32 ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32ZG210F8-B-QFN32


Microcontrollers Silicon Labs EFM32ZG210F8-B-QFN32 Overview

The Silicon Labs EFM32ZG210F8-B-QFN32 microcontroller is an integral part of the tech world, designed for demanding applications that require a high degree of efficiency and performance. This 32-bit microcontroller is built on the ARM Cortex-M3 processor, offering low power consumption alongside robust processing capabilities. It is encapsulated in a compact 32-QFN package, making it an excellent choice for space-constrained applications. With 8KB of flash memory, this microcontroller provides sufficient space for complex programs and data storage, which is critical for efficient, real-time processing. The Microcontrollers Silicon Labs EFM32ZG210F8-B-QFN32 is perfectly suited for developers looking to create scalable, power-sensitive applications in a range of industrial sectors.

EFM32ZG210F8-B-QFN32 Features

This microcontroller features a low-energy sensor interface, which allows it to efficiently gather data while conserving energy, making it ideal for battery-operated devices. It also supports a wide range of communication protocols, including I2C, UART, and SPI, facilitating easy integration into existing systems. The device's enhanced security features ensure reliable operation in applications where data integrity and confidentiality are critical. Moreover, its advanced power management capabilities enable extended operational lifespans in the field, even under stringent power constraints.

EFM32ZG210F8-B-QFN32 Applications

  • Wearable Devices: Utilized in fitness trackers and smartwatches, the EFM32ZG210F8-B-QFN32's low power consumption extends battery life, essential for devices worn daily.
  • Smart Home Automation: Acts as the brain for smart thermostats and lighting systems, leveraging its robust processing capability to enhance user convenience and efficiency.
  • Industrial Monitoring: Deployed in sensors and control systems within industrial settings, the microcontroller manages data collection and machine operations, improving safety and productivity.
  • Portable Medical Devices: Ideal for handheld diagnostic devices, its energy efficiency and reliable performance support critical health monitoring with minimal power use.
  • Energy Management: Applied in smart meters and solar energy controllers, it helps in managing energy flow and data logging to optimize consumption patterns.
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