EFM32WG360F256G-A-CSP81 - Silicon Labs

Manufacturer Part Number

EFM32WG360F256G-A-CSP81

Manufacturer

Silicon Labs

Introduction

The EFM32WG360F256G-A-CSP81 is part of the Wonder Gecko series, a 32-bit single-core ARM® Cortex®-M4 based microcontroller designed for high-performance and energy-efficient applications.

Product Features and Performance

Core Processor: ARM® Cortex®-M4

Core Size: 32-Bit Single-Core

Speed: 48MHz

Connectivity: I2C, IrDA, SmartCard, SPI, UART/USART, USB OTG

Peripherals: Brown-out Detect/Reset, DMA, I2S, POR, PWM, WDT

Number of I/O: 65

Program Memory Size: 256KB (256K x 8)

Program Memory Type: FLASH

RAM Size: 32K x 8

Voltage Supply (Vcc/Vdd): 1.98V ~ 3.8V

Data Converters: A/D 8x12b, D/A 1x12b

Oscillator Type: Internal

Operating Temperature: -40°C ~ 85°C (TA)

Mounting Type: Surface Mount

Supplier Device Package: 81-CSP (4.35x4.27)

Package / Case: 81-UFBGA, CSPBGA

Product Advantages

High performance and energy efficiency

Extensive connectivity options

Robust set of peripherals enhancing versatility

Adequate memory configuration for complex applications

Key Technical Parameters

Speed: 48MHz

Program Memory: 256KB FLASH

RAM: 32K

Temperature Range: -40°C ~ 85°C

Data Converters: 8x12b ADC, 1x12b DAC

Quality and Safety Features

Brown-out Detect/Reset

Power-on Reset (POR)

Watchdog Timer (WDT)

Compatibility

Compatible with various communication protocols including I2C, SPI, and UART

Application Areas

Industrial control systems

Consumer electronics

Portable devices

IoT applications

Product Lifecycle

Status: Discontinued at Digi-Key

Availability of replacements or upgrades should be checked with manufacturer

Several Key Reasons to Choose This Product

Robust connectivity and peripheral options suit a wide range of applications

High performance ARM® Cortex®-M4 core with energy-efficient operation

Comprehensive safety features ensuring reliable operation

Wide operating temperature range suitable for extreme environments

Compact CSP package advantageous for space-constrained applications