EFM32GG11B520F2048GQ64-A Allicdata Electronics
Allicdata Part #:

336-4510-ND

Manufacturer Part#:

EFM32GG11B520F2048GQ64-A

Price: $ 5.73
Product Category:

Integrated Circuits (ICs)

Manufacturer: Silicon Labs
Short Description: EFM32 GIANT GECKO 11 ULTRA LOW P
More Detail: ARM® Cortex®-M4 Giant Gecko S1 Microcontroller IC ...
DataSheet: EFM32GG11B520F2048GQ64-A datasheetEFM32GG11B520F2048GQ64-A Datasheet/PDF
Quantity: 160
1 +: $ 5.21010
25 +: $ 5.01984
100 +: $ 4.82668
1000 +: $ 4.79825
Stock 160Can Ship Immediately
$ 5.73
Specifications
Program Memory Size: 2MB (2M x 8)
Supplier Device Package: 64-TQFP (10x10)
Package / Case: 64-TQFP
Operating Temperature: -40°C ~ 85°C (TA)
Oscillator Type: Internal
Data Converters: A/D 16x12b SAR, D/A 2x12b
Voltage - Supply (Vcc/Vdd): 1.8 V ~ 3.6 V
RAM Size: 512K x 8
EEPROM Size: --
Program Memory Type: FLASH
Series: Giant Gecko S1
Number of I/O: 50
Peripherals: Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
Connectivity: CANbus, EBI/EMI, I²C, IrDA, LINbus, SmartCard, SPI, UART/USART
Speed: 72MHz
Core Size: 32-Bit
Core Processor: ARM® Cortex®-M4
Part Status: Active
Packaging: Tray 
Description

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EFM32GG11B520F2048GQ64-A is an ultra-low-power 32-bit microcontroller that has been designed for embedded applications. It is based on the ARM Cortex-M4 processor core with DSP and FPU support, and is one of the most energy efficient microcontroller options available. This microcontroller is ideal for applications such as wearables, medical and industrial applications, owing to its simplicity and low-power requirements.

The EFM32GG11B520F2048GQ64-A microcontroller is available in a range of packages, offering up to 256kB of Flash memory, 48kB of SRAM, up to 4 timers, 4 serial interfaces (including UART and I²C) and a range of high-precision Analog-Digital converters. It is also powered by a single power supply, making it perfect for low-power applications.

The microcontroller uses a simple three-level micro-architecture that provides a low-cost and energy-efficient solution for embedded applications. This micro-architecture combines an efficient Cortex-M4 processor core, a variety of peripherals, and a 32-bit RISC-based acceleration modality.

The Cortex-M4 processor core of the microcontroller provides powerful 32-bit performance, while the integration of a range of peripherals allows for more complex functionalities. These peripherals include an extensive range of timer and counter units, periodic interrupt generators, I²C and UART interfaces, as well as an array of analogue-to-digital converters. The integration of these peripherals means that the microcontroller is capable of performing a range of tasks such as Data processing, serial communication, signal acquisition and signal processing with minimal effort and power consumption.

The EFM32GG11B520F2048GQ64-A microcontroller also offers an integrated power control and energy management system. This power management system enables efficient power management and an extended battery life. With a fast wake-up time, it is ideal for applications such as portable devices and battery-powered systems, where power conservation is essential.

In addition to its intuitive micro-architecture and power management system, the EFM32GG11B520F2048GQ64-A also offers a range of different tools and software support dedicated to developing applications. The integrated development environment, as well as the software libraries, provide easy-to-use tools to enable a faster development time.

The EFM32GG11B520F2048GQ64-A microcontroller is a versatile and powerful embedded solution that can provide a low-power, cost-effective solution for a range of embedded applications such as wearables, medical systems, automation and industrial controllers. Its small size and low-power requirements allow for a wide range of applications to be designed around it. With its integrated development environment, as well as its range of peripherals and intuitive micro-architecture, the EFM32GG11B520F2048GQ64-A provides an excellent platform for the development of embedded applications.

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

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