EFM32LG380F64G-E-QFP100R Allicdata Electronics
Allicdata Part #:

EFM32LG380F64G-E-QFP100R-ND

Manufacturer Part#:

EFM32LG380F64G-E-QFP100R

Price: $ 2.11
Product Category:

Integrated Circuits (ICs)

Manufacturer: Silicon Labs
Short Description: IC MCU 32BIT 64KB FLASH 100LQFP
More Detail: ARM® Cortex®-M3 Leopard Gecko Microcontroller IC 3...
DataSheet: EFM32LG380F64G-E-QFP100R datasheetEFM32LG380F64G-E-QFP100R Datasheet/PDF
Quantity: 1000
1000 +: $ 1.91502
Stock 1000Can Ship Immediately
$ 2.11
Specifications
Program Memory Size: 64KB (64K x 8)
Supplier Device Package: 100-LQFP (14x14)
Package / Case: 100-LQFP
Operating Temperature: -40°C ~ 85°C (TA)
Oscillator Type: Internal
Data Converters: A/D 8x12b, D/A 2x12b
Voltage - Supply (Vcc/Vdd): 1.85 V ~ 3.8 V
RAM Size: 32K x 8
EEPROM Size: --
Program Memory Type: FLASH
Series: Leopard Gecko
Number of I/O: 83
Peripherals: Brown-out Detect/Reset, DMA, POR, PWM, WDT
Connectivity: EBI/EMI, I²C, IrDA, SmartCard, SPI, UART/USART, USB
Speed: 48MHz
Core Size: 32-Bit
Core Processor: ARM® Cortex®-M3
Part Status: Active
Packaging: Tape & Reel (TR) 
Description

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EFM32LG380F64G-E-QFP100R Application Field and Working Principle

The EFM32LG380F64G-E-QFP100R is an ultra-low power 32-bit microcontroller series from Silicon Laboratories. The microcontrollers incorporate an ARM Cortex-M3 processor core, which provides more than 440MHz of performance, along with advanced peripherals for a wide range of embedded applications. This tutorial will focus on the application field and working principle of the EFM32LG380F64G-E-QFP100R.

Application Field

The EFM32LG380F64G-E-QFP100R is designed for a wide range of embedded applications, from industrial control and automation systems to home electronics, consumer and medical devices. The microcontroller is equipped with a wide range of peripherals, such as USB and CAN interfaces, timers, communication peripherals, and advanced low-power features, making it ideal for low-power embedded applications. It is also highly configurable and uses the ARM Cortex-M3 processor core, ensuring that developers have a very low power option which also offers high-performance.

Working Principle

The EFM32LG380F64G-E-QFP100R follows a simple working principle. The microcontroller includes an ARM Cortex-M3 processor core, which is the central brain of the microcontroller. The Cortex-M3 processor core provides more than 440MHz of performance, along with advanced peripherals, such as timers and communication peripherals. The microcontroller also includes a wide range of peripherals, such as USB and CAN interfaces, timers, communication peripherals, and advanced low-power features, allowing it to be used in a wide range of low-power embedded applications. The microcontroller also includes a debug interface, allowing developers to debug and monitor their applications.

The EFM32LG380F64G-E-QFP100R also features various power-saving features, such as a power-down mode, a hibernate mode, and a low-power sleep mode, all of which allow the microcontroller to reduce its power consumption and improve battery life. All of these features make the EFM32LG380F64G-E-QFP100R an ideal choice for low-power embedded applications.

Conclusion

The EFM32LG380F64G-E-QFP100R is an ultra-low power 32-bit microcontroller series from Silicon Laboratories. It is designed for a wide range of embedded applications, from industrial control and automation systems to home electronics, consumer and medical devices. The microcontroller includes an ARM Cortex-M3 processor core, which is the central brain of the microcontroller. It also includes a wide range of peripherals, such as USB and CAN interfaces, timers, communication peripherals, and advanced low-power features, making it ideal for low-power embedded applications. The microcontroller also features various power-saving features, such as a power-down mode, a hibernate mode, and a low-power sleep mode, allowing it to reduce its power consumption and improve battery life. All of these features make the EFM32LG380F64G-E-QFP100R an ideal choice for low-power embedded applications.

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

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