EFM32G232F32-QFP64
- Mfr.Part #
- EFM32G232F32-QFP64
- Manufacturer
- Silicon Labs
- Package / Case
- 64-TQFP
- Datasheet
- Download
- Description
- IC MCU 32BIT 32KB FLASH 64TQFP
- Stock
- 43,553
- In Stock :
- 43,553
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- Manufacturer :
- Silicon Labs
- Product Category :
- Microcontrollers
- Time@Peak Reflow Temperature-Max (s) :
- NOT SPECIFIED
- Watchdog Timer :
- yes
- Mounting Type :
- Surface Mount
- Core Size :
- 32-Bit
- Program Memory Type :
- Flash
- Connectivity :
- I2C, IrDA, SmartCard, SPI, UART/USART
- Terminal Form :
- Gull wing
- RAM Size :
- 8K x 8
- Data Bus Width :
- 32b
- Published :
- 2010
- RoHS Status :
- RoHS Compliant
- Surface Mount :
- yes
- Length :
- 10mm
- Number of Terminations :
- 64
- Voltage - Supply (Vcc/Vdd) :
- 1.98V~3.8V
- Program Memory Size :
- 32KB 32K x 8
- Power Supplies :
- 1.85/3.8V
- Terminal Pitch :
- 0.5mm
- Operating Temperature :
- -40°C~85°C TA
- Terminal Position :
- QUAD
- CPU Family :
- CORTEX-M3
- RAM (bytes) :
- 8192
- uPs/uCs/Peripheral ICs Type :
- MICROCONTROLLER, RISC
- Memory Size :
- 32kB
- Frequency :
- 32MHz
- Number of I/O :
- 53
- Peak Reflow Temperature (Cel) :
- NOT SPECIFIED
- Peripherals :
- Brown-out Detect/Reset, DMA, POR, PWM, WDT
- Supply Voltage-Max (Vsup) :
- 3.8V
- Supply Voltage-Min (Vsup) :
- 1.98V
- Oscillator Type :
- Internal
- Factory Lead Time :
- 6 Weeks
- Has ADC :
- yes
- Number of Programmable I/O :
- 53
- Packaging :
- Tape and Reel (TR)
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- Height Seated (Max) :
- 1.2mm
- DAC Channels :
- yes
- ECCN Code :
- 3A991.A.2
- Number of Pins :
- 64
- Interface :
- I2C, IrDA, SPI, UART, USART
- ROM (words) :
- 32768
- Core Processor :
- ARM® Cortex®-M3
- Core Architecture :
- ARM
- Supply Voltage :
- 3V
- Qualification Status :
- Not Qualified
- Number of Timers/Counters :
- 4
- Data Converter :
- A/D 8x12b; D/A 1x12b
- DMA Channels :
- yes
- Bit Size :
- 32
- PWM Channels :
- yes
- Package / Case :
- 64-TQFP
- Series :
- Gecko
- Datasheets
- EFM32G232F32-QFP64

Microcontrollers Silicon Labs EFM32G232F32-QFP64 Overview
Introducing the robust EFM32G232F32-QFP64 from Silicon Labs, a highly efficient microcontroller that excels in demanding applications requiring smart energy management and compact form factors. This 32-bit MCU, which operates with a 32KB FLASH and is housed in a 64TQFP package, integrates cutting-edge technology tailored for high-performance and energy-efficient solutions. The Microcontrollers Silicon Labs EFM32G232F32-QFP64 is designed to cater to industries looking to implement advanced automation and IoT-enabled services, providing a versatile platform that supports a wide array of development needs.
EFM32G232F32-QFP64 Features
The EFM32G232F32-QFP64 stands out with its ARM Cortex-M3 processor, which offers a balance of efficiency and power for handling complex algorithms with minimal power consumption. Features include low-energy sensors, a wide array of I/O options, and an enhanced interface for seamless integration with peripheral devices. Its 32KB flash memory ensures ample space for application code and data storage, making it an excellent choice for systems requiring robust, reliable, and responsive controls.
EFM32G232F32-QFP64 Applications
- Smart Home Devices: Utilized in thermostats, security systems, and lighting controls, where its energy efficiency and powerful computing capabilities allow for sophisticated home automation solutions.
- Industrial Automation: Perfect for use in automated production lines, remote monitoring systems, and industrial robotics, offering reliable performance under stringent conditions.
- Wearable Technology: Ideal for fitness trackers and smartwatches, where its compact size and energy efficiency are critical for extended battery life and continuous operation.
- Healthcare Equipment: Applied in portable medical devices and monitors, providing the necessary reliability and precision for critical healthcare applications.
- Energy Management Systems: Helps in the development of solutions that optimize consumption in smart grids and renewable energy sources, leveraging its capacity to handle intricate power management algorithms.
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