EFM32TG232F32-QFP64
- Mfr.Part #
- EFM32TG232F32-QFP64
- Manufacturer
- Silicon Labs
- Package / Case
- 64-TQFP
- Datasheet
- Download
- Description
- IC MCU 32BIT 32KB FLASH 64TQFP
- Stock
- 1,483
- In Stock :
- 1,483
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- Manufacturer :
- Silicon Labs
- Product Category :
- Microcontrollers
- Oscillator Type :
- Internal
- Number of Terminations :
- 64
- Peripherals :
- Brown-out Detect/Reset, DMA, I2S, POR, PWM, WDT
- Core Size :
- 32-Bit
- Mounting Type :
- Surface Mount
- Length :
- 10mm
- Memory Size :
- 32kB
- Data Bus Width :
- 32b
- DMA Channels :
- yes
- PWM Channels :
- yes
- uPs/uCs/Peripheral ICs Type :
- MICROCONTROLLER, RISC
- Package / Case :
- 64-TQFP
- Frequency :
- 32MHz
- CPU Family :
- CORTEX-M3
- Bit Size :
- 32
- Voltage - Supply (Vcc/Vdd) :
- 1.85V~3.8V
- Number of Pins :
- 64
- Qualification Status :
- Not Qualified
- Data Converter :
- A/D 8x12b; D/A 1x12b
- Peak Reflow Temperature (Cel) :
- NOT SPECIFIED
- RAM (bytes) :
- 4096
- Operating Supply Voltage :
- 3.8V
- Connectivity :
- I2C, IrDA, SmartCard, SPI, UART/USART
- Published :
- 2013
- Number of Timers/Counters :
- 2
- Terminal Form :
- Gull wing
- DAC Channels :
- yes
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- RAM Size :
- 4K x 8
- Program Memory Type :
- Flash
- Time@Peak Reflow Temperature-Max (s) :
- NOT SPECIFIED
- Operating Temperature :
- -40°C~85°C TA
- Core Processor :
- ARM® Cortex®-M3
- Supply Voltage :
- 3V
- Terminal Pitch :
- 0.5mm
- Number of I/O :
- 53
- Program Memory Size :
- 32KB 32K x 8
- Terminal Position :
- QUAD
- Packaging :
- Tape and Reel (TR)
- Has ADC :
- yes
- Interface :
- I2C, IrDA, SPI, UART, USART
- Series :
- Tiny Gecko
- RoHS Status :
- RoHS Compliant
- Core Architecture :
- ARM
- Surface Mount :
- yes
- Datasheets
- EFM32TG232F32-QFP64

Microcontrollers Silicon Labs EFM32TG232F32-QFP64 Overview
The Silicon Labs EFM32TG232F32-QFP64 microcontroller is an advanced 32-bit MCU, designed to provide a blend of power efficiency and processing capability. Engineered by Silicon Labs, this component utilizes ARM Cortex-M3 technology, making it ideal for applications that demand low-power operation without sacrificing computational power. With 32KB of flash memory and a compact 64-pin TQFP package, it is perfect for sophisticated yet space-constrained applications. This Microcontrollers Silicon Labs EFM32TG232F32-QFP64 is tailored to meet the rigorous demands of modern embedded systems, providing a reliable and versatile solution for your technology needs.
EFM32TG232F32-QFP64 Features
The EFM32TG232F32-QFP64 boasts several features that make it standout for advanced applications. Key features include a 32-bit ARM Cortex-M3 processor, which offers a balance of efficiency and power for intensive applications. Additionally, the 32KB of flash memory is ideal for robust applications, and the low power consumption mode extends battery life significantly, making it suitable for portable devices. The microcontroller's capability to function at a wide range of operating temperatures enhances its reliability in varied environmental conditions.
EFM32TG232F32-QFP64 Applications
- Wearable Devices: Perfect for fitness trackers and smart watches, the EFM32TG232F32-QFP64's low power consumption extends device battery life while maintaining responsive performance.
- Smart Home Automation: This MCU can be utilized in smart thermostats, security systems, and other home automation products, enabling efficient processing and connectivity while optimizing energy use.
- Healthcare Equipment: Ideal for portable medical diagnostics and monitoring equipment, the MCU's compact size and power efficiency ensure reliable operation in healthcare environments.
- Industrial Control Systems: Its robust processing capabilities and operational reliability under extreme conditions make the EFM32TG232F32-QFP64 suitable for industrial applications, including automation and process control.
- Energy Management: Used in systems like smart meters and energy monitoring systems, this microcontroller helps in reducing overall energy consumption through efficient processing and data handling.
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