MKL05Z32VLC4R Allicdata Electronics
Allicdata Part #:

MKL05Z32VLC4R-ND

Manufacturer Part#:

MKL05Z32VLC4R

Price: $ 1.04
Product Category:

Integrated Circuits (ICs)

Manufacturer: NXP USA Inc
Short Description: KINETIS KL05: 48MHZ CORTEX-M0+ U
More Detail: ARM® Cortex®-M0+ Kinetis KL0 Microcontroller IC 32...
DataSheet: MKL05Z32VLC4R datasheetMKL05Z32VLC4R Datasheet/PDF
Quantity: 1000
2000 +: $ 0.93845
Stock 1000Can Ship Immediately
$ 1.04
Specifications
Program Memory Size: 32KB (32K x 8)
Supplier Device Package: 32-LQFP (7x7)
Package / Case: 32-LQFP
Operating Temperature: -40°C ~ 105°C (TA)
Oscillator Type: Internal
Data Converters: A/D 14x12b, D/A 1x12b
Voltage - Supply (Vcc/Vdd): 1.71 V ~ 3.6 V
RAM Size: 4K x 8
EEPROM Size: --
Program Memory Type: FLASH
Series: Kinetis KL0
Number of I/O: 28
Peripherals: Brown-out Detect/Reset, DMA, LVD, POR, PWM, WDT
Connectivity: I²C, SPI, UART/USART
Speed: 48MHz
Core Size: 32-Bit
Core Processor: ARM® Cortex®-M0+
Part Status: Active
Packaging: Tape & Reel (TR) 
Description

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MKL05Z32VLC4R: Embedded - Microcontrollers

Microcontrollers are an integral part of modern embedded systems. The MKL05Z32VLC4R is an ARM Cortex-M0+ 32-bit microcontroller, which offers advanced features, performance, and flexibility for a variety of applications. This microcontroller is designed for low-power, low-cost designs that require high performance and embedded flexibility.

Overview

The MKL05Z32VLC4R is part of the Kinetis L family of ARM Cortex-M0+ microcontrollers. This device has an 8-bit architecture in an array of four nodes, with up to 30 GPIOs, three Touch Sensitive (TSI) sensors, four SPI busses, four I2C busses, three UARTs, and up to seven 16-bit timers. The chip has an integrated analog-to-digital converter (ADC), 12-bit and 16-bit pulse width modulation (PWM) devices that can operate up to 24 MHz. It also has two pulse timing generators (PTG) and a unique advanced low-power timer (SIMtimer). Additionally, it includes a watchdog timer (WDT) and a real-time clock (RTC).

Applications

The MKL05Z32VLC4R is suitable for a wide range of embedded applications. It is particularly well-suited to IoT applications such as smart home and industrial automation, where it can be used for monitoring and control. It is also ideal for use in motor control applications, motor-driven actuators, and medical and fitness equipment. Additionally, it can be used in a variety of battery applications, such as wearables and other low-power designs.

Working Principle

The working principle of the MKL05Z32VLC4R is based on the ARM Cortex-M0+ architecture. The processor has a three-layer, memory-mapped architecture consisting of ROM, RAM, and flash memory. The Cortex-M0+ core is a high-performance 32-bit processor with an instruction set tailored for embedded applications. It includes two data paths, allowing the processor to fetch and execute instructions in parallel, leading to improved efficiency. It can address up to 32-bit memory models and features a pre-fetch buffer, allowing data to be read ahead of the processor. Access to system peripherals is provided via a memory-mapped peripheral block, which is connected to the processor via the AHB (Advanced High-performance Bus). The AHB is a high-performance interconnect that enables fast data transfer between the processor and peripherals.The MKL05Z32VLC4R also includes a range of power management features. These include five different sleep modes, allowing the processor to enter low-power states to save energy when the system is idle. It also supports multiple clocks, allowing users to switch between different clock speeds to save energy. Additionally, it offers a range of functions for clock gating and power sequencing, allowing users to dynamically adjust the power consumption of the system as needed.

Conclusion

The MKL05Z32VLC4R is a powerful, low-power, low-cost microcontroller suitable for a wide range of embedded applications. It features an advanced ARM Cortex-M0+ processor architecture, integrated analog peripherals, and a range of power management features. This combination of features makes it ideal for use in embedded systems such as smart home and industrial automation, motor control, battery applications, and a variety of other applications requiring fast and efficient processing.

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

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