R5F5651EDGFB#30
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- Mfr.Part #
- R5F5651EDGFB#30
- Manufacturer
- Intersil (Renesas Electronics Corporation)
- Package / Case
- LFQFP-144
- Datasheet
- Download
- Description
- IC MCU 32BIT 2MB FLASH 144LFQFP
- Stock
- 49,836
- In Stock ：
- 49,836
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- Manufacturer :
- Intersil (Renesas Electronics Corporation)
- Product Category :
- Microcontrollers
- DAC Resolution :
- 12 bit
- Maximum Operating Temperature :
- + 105 C
- Number of Timers/Counters :
- 2 x 8 bit, 12 x 16 bit, 2 x 32 bit
- Interface Type :
- CAN, I2C, SCI, SMBus, USB
- Manufacturer :
- Renesas Electronics
- Length :
- 20 mm
- Minimum Operating Temperature :
- - 40 C
- Product Category :
- 32-bit Microcontrollers - MCU
- Width :
- 20 mm
- Connectivity :
- CANbus, EBI/EMI, Ethernet, I²C, LINbus, MMC/SD, QSPI, SCI, SPI, UART/USART, USB
- Data Converters :
- A/D 29x12b; D/A 2x12b
- Operating Temperature :
- -40°C ~ 105°C (TA)
- Program Memory Type :
- Flash
- Peripherals :
- DMA, LVD, POR, PWM, WDT
- RAM Size :
- 640K x 8
- Number of I/Os :
- 111 I/O
- Subcategory :
- Microcontrollers - MCU
- Packaging :
- Tray
- Supplier Device Package :
- 144-LFQFP (20x20)
- Mounting Style :
- SMD/SMT
- Brand :
- Renesas Electronics
- Number of I/O :
- 111
- Data Bus Width :
- 32 bit
- EEPROM Size :
- 32K x 8
- Oscillator Type :
- Internal
- Package / Case :
- LFQFP-144
- Height :
- 1.4 mm
- Mounting Type :
- Surface Mount
- Number of ADC Channels :
- 29 Channel
- Base Product Number :
- R5F5651
- RoHS :
- Details
- Product Status :
- Discontinued at Digi-Key
- Series :
- RX651
- Product :
- MCU
- Core Processor :
- RXv2
- Speed :
- 120MHz
- Product Type :
- 32-bit Microcontrollers - MCU
- Program Memory Size :
- 2 Mb
- Core Size :
- 32-Bit Single-Core
- Package :
- Tray
- Voltage - Supply (Vcc/Vdd) :
- 2.7V ~ 3.6V
- Datasheets
- R5F5651EDGFB#30
Microcontrollers Intersil (Renesas Electronics Corporation) R5F5651EDGFB#30 Overview
Introducing the Microcontrollers Intersil (Renesas Electronics Corporation) R5F5651EDGFB#30, a powerhouse in the world of embedded system technology. This 32-bit microcontroller is engineered to optimize performance using Renesas' advanced architecture, which facilitates rapid processing and robust operation in demanding applications. With 2MB of integrated flash memory and packaged in a compact 144-LFQFP, this MCU is perfect for developers looking to push the boundaries of what's possible in electronics design. The inclusion of advanced peripherals and extensive I/O capabilities makes it a highly adaptable solution, suited for a range of industrial and technical applications where reliability and efficiency are paramount.
R5F5651EDGFB#30 Features
The R5F5651EDGFB#30 microcontroller from Intersil (Renesas Electronics Corporation) stands out with its advanced features designed for high performance and flexibility. Key features include a 32-bit CPU core for efficient processing, 2MB of flash memory for substantial program storage, and a 144-pin LQFP package that supports a wide variety of I/O options and peripherals. This MCU also supports enhanced security features and power management options, making it ideal for designing energy-efficient and secure electronic systems.
R5F5651EDGFB#30 Applications
- Industrial Automation: In manufacturing environments, this MCU can control machinery, process data from sensors, and manage robotic operations, enhancing productivity and reliability.
- Automotive Systems: Suitable for use in automotive applications such as engine management systems and advanced driver-assistance systems (ADAS), where robust processing power and high reliability are required.
- Home Automation: Can be integrated into smart home devices to manage lighting, security, and HVAC systems, providing efficient and scalable solutions for home automation.
- Consumer Electronics: Ideal for consumer electronics, including gaming consoles and wearables, where performance and extended battery life are critical.
- Healthcare Devices: Employs in medical devices like monitors and diagnostic equipment, offering dependable operation and the capacity to handle complex algorithms for patient care.
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