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