Silicon Labs EFM8BB31F32G-B-QFN24, 8bit Microcontroller, EFM8, 50MHz, 32 kB Flash, 32-Pin QFN

Currently unavailable
We don’t know if this item will be back in stock, it is being discontinued by the manufacturer.
Packaging Options:
RS Stock No.:
914-0267
Mfr. Part No.:
EFM8BB31F32G-B-QFN24
Brand:
Silicon Labs
Find similar products by selecting one or more attributes.
Select all

Brand

Silicon Labs

Family Name

EFM8

Package Type

QFN

Mounting Type

Surface Mount

Pin Count

32

Data Bus Width

8bit

Program Memory Size

32 kB

Maximum Frequency

50MHz

RAM Size

2.304 kB

USB Channels

0

Number of PWM Units

1

Typical Operating Supply Voltage

2.2 → 3.6 V

Maximum Number of Ethernet Channels

0

Minimum Operating Temperature

-40 °C

Number of ADC Units

1

Maximum Operating Temperature

+85 °C

Length

3mm

ADCs

1 (12 x 10 bit), 1 (12 x 12 bit)

Height

0.85mm

Width

3mm

Data Rate

1.125Msps

Dimensions

3 x 3 x 0.85mm

Pulse Width Modulation

1 (6 x 16 bit)

Program Memory Type

Flash

COO (Country of Origin):
TW

EFM8BB Busy Bee Microcontrollers, Silicon Labs


The EFM8 Busy Bee 8-bit Microcontroller (MCU) devices are designed for use in a wide variety of general purpose applications. They operate at up 50MHz with a pipelined 8-bit C8051 core.

Up to 22 multifunction, +5V tolerant I/O pins
Priority crossbar for flexible pin mapping
12-bit Analogue to Digital converter (ADC) with up to 20 channels
Up to five 16-bit timers
Integrated temperature sensor
UART, SPI and SMBus/I²C serial communication


The EFM8 8-bit microcontroller family has an unparalleled combination of features and capabilities including a high-speed pipelined 8051 core, ultra-low power, precision analogue and enhanced communication peripherals, integrated oscillators, small-footprint packages, and a crossbar architecture that enables flexible digital and analogue multiplexing to simplify PCB design and I/O signal routing. These next-generation 8-bit devices are aimed at the engineer developing products for the Internet-of-Things (IoT) which will be very small, perform complex processing and run off tiny batteries.