EFM8SB20F32G-A-QFN32 - Silicon Labs

Manufacturer Part Number

EFM8SB20F32G-A-QFN32

Manufacturer

Silicon Labs

Introduction

EFM8SB20F32G-A-QFN32 is an 8-bit microcontroller from Silicon Labs' Sleepy Bee series designed for efficiency and low-power operations.

Product Features and Performance

Core Processor: CIP-51 8051

Core Size: 8-Bit

Operating Speed: 25MHz

Enhanced interface Connectivity: EBI/EMI, I2C, SMBus, SPI, UART/USART

Brown-out Detect/Reset, Power-On Reset, PWM, Watchdog Timer

High I/O Count: 24 programmable inputs/outputs

Large Program Memory Size: 32KB Flash

RAM Size: 4.25K x 8

Data Converters: Analog-to-Digital 23x10b resolution

Internal Oscillator

Operating Temperature Range: -40°C to 85°C

Product Advantages

High integration for small form factor applications

Power efficiency optimized for battery-operated devices

Versatile connectivity options support multiple communication protocols

Key Technical Parameters

Speed: 25MHz

Program Memory: 32KB FLASH

RAM: 4.25K x 8

Voltage Supply Range: 1.8V to 3.6V

Temperature Specifications: -40°C to 85°C operating range

Data Converters: 23-channel 10-bit ADC

Mounting Type: Surface Mount

Package / Case: 32-VFQFN Exposed Pad

24 I/O pins

Quality and Safety Features

Brown-Out Detection

Power-On Reset functionality for safety

Robust Watchdog Timer to prevent system hangs

Compatibility

Compatible with a wide range of peripheral components through various communication protocols

32-QFN package allows for easy PCB integration

Application Areas

IoT devices

Battery-powered applications

Consumer electronics

Industrial control systems

Product Lifecycle

Discontinued at Digi-Key

Potential need to source from alternative suppliers or seek replacement models

Several Key Reasons to Choose This Product

Energy-efficient operation for battery conservation

Robust feature set to enable a wide range of applications

Extensive connectivity options for versatile device communication

Resilient to harsh temperature environments

Silicon Labs quality and reliability in embedded systems