EFM32G200F16-QFN32T Allicdata Electronics
Allicdata Part #:

EFM32G200F16-QFN32T-ND

Manufacturer Part#:

EFM32G200F16-QFN32T

Price: $ 0.00
Product Category:

Integrated Circuits (ICs)

Manufacturer: Silicon Labs
Short Description: IC MCU 32BIT 16KB FLASH 32QFN
More Detail: ARM® Cortex®-M3 Gecko Microcontroller IC 32-Bit 32...
DataSheet: EFM32G200F16-QFN32T datasheetEFM32G200F16-QFN32T Datasheet/PDF
Quantity: 1000
1 +: 0.00000
Stock 1000Can Ship Immediately
$ 0
Specifications
Program Memory Size: 16KB (16K x 8)
Supplier Device Package: 32-QFN (6x6)
Package / Case: 32-VQFN Exposed Pad
Operating Temperature: -40°C ~ 85°C (TA)
Oscillator Type: Internal
Data Converters: A/D 4x12b, D/A 1x12b
Voltage - Supply (Vcc/Vdd): 1.85 V ~ 3.8 V
RAM Size: 8K x 8
EEPROM Size: --
Program Memory Type: FLASH
Series: Gecko
Number of I/O: 24
Peripherals: Brown-out Detect/Reset, DMA, POR, PWM, WDT
Connectivity: I²C, IrDA, SmartCard, SPI, UART/USART
Speed: 32MHz
Core Size: 32-Bit
Core Processor: ARM® Cortex®-M3
Part Status: Discontinued at Digi-Key
Packaging: Tray 
Description

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The EFM32G200F16-QFN32T is an embedded microcontroller which is suitable for a variety of applications including consumer electronics, the Internet of Things, industrial and automotive. The microcontroller is a component of the Silicon Labs EFM32 Gecko 32-bit MCU family, manufactured using their Silicon-on-insulator (SOI) embedded ARM Cortex-M4 processor.

The EFM32G200F16-QFN32T is a 16-bit device that features an ARM Cortex-M4 processor core operating at a maximum clock frequency of up to 48 MHz. It is equipped with a 6-stage harvard pipelined processor core and a 320 KB on-chip RAM, making it ideal for applications which require high-performance, low power consumption and a wide range of peripheral interfaces. The device also features DMA and 10 UARTs which can be used to transfer data at high speeds with low latency. Additionally, it is also compliant with industry standards such as CANbus, I2C and 13-bit ADC.

The EFM32G200F16-QFN32T microcontroller is highly scalable and can be used in application fields such as consumer electronic products, automotive, Internet of Things (IoT), industrial and embedded systems. It is well-suited for these applications due to its low power usage, wide range of peripheral interfaces and programmable analog front end (AFE) which can be used to measure physical data.

The EFM32G200F16-QFN32T microcontroller has a wide range of features and capabilities which make it suitable for use in a variety of applications. It offers 32-bit processing with low power consumption, DMA support, 10 UARTs and a programmable analog front end (AFE). It also supports CANbus, I2C and SPI interfaces. Additionally, it supports various industry standards such as extended temperature ranges, EMI reduction, pulsed current start-up, adjustable trigger level and over-voltage protection.

The working principle of the EFM32G200F16-QFN32T microcontroller is based on the ARM Cortex-M4 processor core, which operates at a frequency of up to 48 MHz. The microcontroller is programmed using C or assembly language using the Silicon Labs Simplicity Studio IDE. This is a drag-and-drop graphical user interface which makes it easy to develop, debug and deploy applications on the microcontroller. Moreover, the device also features a wide range of on-chip peripherals such as timers, pulse width modulators, low power timers, analog comparators and more, making it easy to connect with external devices.

In conclusion, the EFM32G200F16-QFN32T is an embedded microcontroller which is suitable for a variety of applications including consumer electronics, the Internet of Things, industrial and automotive. It has an ARM Cortex-M4 processor core, a 6-stage harvard pipelined processor core, 320 KB of on-chip RAM, 10 UARTs, DMA and a programmable AFE, making it an ideal choice for these applications. The microcontroller is programmed using C or assembly language using the Silicon Labs Simplicity Studio IDE. This makes it easy to develop, debug and deploy applications on the microcontroller.

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

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