Allicdata Part #: | R5F2L38ACDFA#V1-ND |
Manufacturer Part#: |
R5F2L38ACDFA#V1 |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Renesas Electronics America |
Short Description: | IC MCU 16BIT 96KB FLASH 80LQFP |
More Detail: | R8C R8C/Lx/38C Microcontroller IC 16-Bit 20MHz 96K... |
DataSheet: | R5F2L38ACDFA#V1 Datasheet/PDF |
Quantity: | 1000 |
1 +: | 0.00000 |
Specifications
Program Memory Type: | FLASH |
Base Part Number: | R5F2L38A |
Supplier Device Package: | 80-LQFP (14x14) |
Package / Case: | 80-LQFP |
Operating Temperature: | -40°C ~ 85°C (TA) |
Oscillator Type: | Internal |
Data Converters: | A/D 16x10b; D/A 2x8b |
Voltage - Supply (Vcc/Vdd): | 1.8 V ~ 5.5 V |
RAM Size: | 10K x 8 |
EEPROM Size: | -- |
Series: | R8C/Lx/38C |
Program Memory Size: | 96KB (96K x 8) |
Number of I/O: | 68 |
Peripherals: | LCD, POR, PWM, Voltage Detect, WDT |
Connectivity: | I²C, LINbus, SIO, SSU, UART/USART |
Speed: | 20MHz |
Core Size: | 16-Bit |
Core Processor: | R8C |
Part Status: | Active |
Packaging: | Tray |
Description
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Introducing R5F2L38ACDFA#V1
The R5F2L38ACDFA#V1 is a microcontroller that has been developed by Renesas. It belongs in the Renesas Synergy Platform, which is a feature-rich embedded system that relies on the ARM Cortex-M0+ processor and the Renesas Synergy Software Package for applications ranging from low-power wireless to human machine interfaces. The Cortex-M0+ processor is the industry\'s smallest and lowest power platform for embedded applications, making this microcontroller a great choice for those requiring high-performance, power-efficient solutions.Application Field of R5F2L38ACDFA#V1
The R5F2L38ACDFA#V1 is capable of using advanced, industry-leading ARM Cortex-M0+ processors and is popular in a variety of different embedded applications. Its capability makes it an ideal choice for those looking to use this advanced processor in applications such as industrial, medical and automotive, which require advanced processing and low power consumption. The R5F2L38ACDFA#V1 is also popular in other embedded application fields, such as consumer electronics, home automation, and wearables.Working Principle of R5F2L38ACDFA#V1
In order to understand how the R5F2L38ACDFA#V1 operates, it is important to understand a bit about the processor it utilizes. The R5F2L38ACDFA#V1 uses the ARM Cortex-M0+ processor, which consists of a central processing unit (CPU) and a system-on-chip (SoC). The CPU is responsible for the actual execution of code, while the SoC handles the peripherals such as I/O, timers, serial communications, and memory. The processor is also able to make use of various hardware accelerators, allowing it to achieve high performance while also consuming very little energy.The ARM Cortex-M0+ processor is based on a simple execution cycle of fetch-decode-execute. This means that the processor fetches the instruction, decodes it into an action, and then executes it. For each operation the processor requires, it will fetch the appropriate instruction, decode it into the corresponding operation, and then carry it out. This is repeated until the operation is complete.In addition to the processor, the R5F2L38ACDFA#V1 also includes several peripherals and hardware accelerators. These hardware components allow the R5F2L38ACDFA#V1 to perform more complex tasks without having to consume more power. The R5F2L38ACDFA#V1 also utilizes several digital communications peripherals, such as Ethernet, USB, and CAN. These peripherals allow the R5F2L38ACDFA#V1 to interact with external systems or devices.Conclusion
The R5F2L38ACDFA#V1 is an embedded microcontroller developed by Renesas. It utilizes the ARM Cortex-M0+ processor to provide users with high performance while consuming low amounts of power. It is suitable for a variety of different applications, including industrial, medical and automotive, as well as consumer electronics, home automation, and wearables. The processor used by the R5F2L38ACDFA#V1 uses a fetch-decode-execute cycle for instruction processing, and its integrated peripherals and hardware accelerators allow it to handle complex tasks without taxing its power consumption.The specific data is subject to PDF, and the above content is for reference
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