MK20DN128VFM5 Allicdata Electronics
Allicdata Part #:

MK20DN128VFM5-ND

Manufacturer Part#:

MK20DN128VFM5

Price: $ 4.07
Product Category:

Integrated Circuits (ICs)

Manufacturer: NXP USA Inc
Short Description: IC MCU 32BIT 128KB FLASH 32QFN
More Detail: ARM® Cortex®-M4 Kinetis K20 Microcontroller IC 32-...
DataSheet: MK20DN128VFM5 datasheetMK20DN128VFM5 Datasheet/PDF
Quantity: 487
1 +: $ 3.69180
10 +: $ 3.31380
100 +: $ 2.71499
Stock 487Can Ship Immediately
$ 4.07
Specifications
Program Memory Type: FLASH
Base Part Number: MK20DN128
Supplier Device Package: 32-QFN-EP (5x5)
Package / Case: 32-VFQFN Exposed Pad
Operating Temperature: -40°C ~ 105°C (TA)
Oscillator Type: Internal
Data Converters: A/D 6x16b
Voltage - Supply (Vcc/Vdd): 1.71 V ~ 3.6 V
RAM Size: 16K x 8
EEPROM Size: --
Series: Kinetis K20
Program Memory Size: 128KB (128K x 8)
Number of I/O: 20
Peripherals: DMA, I²S, LVD, POR, PWM, WDT
Connectivity: I²C, IrDA, SPI, UART/USART, USB, USB OTG
Speed: 50MHz
Core Size: 32-Bit
Core Processor: ARM® Cortex®-M4
Part Status: Active
Packaging: Tray 
Description

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MK20DN128VFM5 application field and working principle

Introduction

MK20DN128VFM5 is a high-performance 32-bit ARM Cortex-M4 microcontroller designed by Freescale Semiconductor. It has many useful features such as integrated low power modes, high performance debug module and various peripheral modules. Freescale designed the MK20DN128VFM5 to fit in a range of applications.

Application Fields

MK20DN128VFM5 can be used in a variety of applications. It is ideal for use in embedded applications such as industrial control, automotive, medical and other consumer electronic products. With its high performance and low power consumption, it can also be used in a range of IoT applications. The MK20DN128VFM5 is especially well suited to applications requiring high performance, such as motion control, machine vision, graphic displays, as well as time-sensitive applications. As it is low power, the MK20DN128VFM5 is well suited to applications that require low power consumption, such as battery powered applications.

Features

The MK20DN128VFM5 microcontroller has a range of features. The main features include:
  • ARM Cortex-M4 core with single cycle MAC (DSP instructions and saturating arithmetic instructions)
  • Low power modes including deep sleep and stop modes to provide power savings and increased system longevity
  • 128KB of high-speed flash memory with a 0~3.3V operation, up to 32 MHz
  • Up to 20 GPIOs (General Purpose Input/Output) to support various control signals such as analog control
  • Performance debug module integrated
  • Various peripheral modules including UART, I2C and SPI bus interfaces, ADC and timers

Working Principle

The MK20DN128VFM5 is based on the ARM Cortex-M4 architecture, which is a 32-bit RISC architecture. This allows the microcontroller to achieve high performance while also consuming low power.The MK20DN128VFM5 is designed to run at up to 48 MHz and has 128 KB of on-chip flash memory and 20 GPIOs. In addition, it has a variety of peripheral modules including UART, I2C, SPI, ADC and timers. To control system level operations, the MK20DN128VFM5 has a range of power saving modes. These include sleep, stop and deep sleep modes, which allow the system to enter and exit low power states depending on system requirements.In addition to the above, the MK20DN128VFM5 microcontroller also has a performance debug module integrated. This allows the microcontroller to be debugged, monitored and speed-optimised for higher performance.

Conclusion

The MK20DN128VFM5 is a powerful, high performance and low power microcontroller designed by Freescale Semiconductor. With its range of features and peripheral modules, it can be used in a variety of embedded applications. Additionally, it is well suited to a range of IoT applications and can be power-optimised to be well suited to battery-powered applications. Finally, the integrated debug module allows the microcontroller to be optimised for speed and power efficiency in order to achieve the best performance.

The specific data is subject to PDF, and the above content is for reference

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