Embedded - Microcontrollers

Image Part Number Description / PDF Quantity Rfq
5962-9097601MXA

5962-9097601MXA

Intel

MCU, 8-BIT

0

TG88CO196EC40

TG88CO196EC40

Intel

MICROCONTROLLER, 16 BIT, MCS96 C

9982

N28F256A150

N28F256A150

Intel

FLASH, 32KX8, 150NS, PQCC32

25291

TN80C151SB16

TN80C151SB16

Intel

8-BIT, 80151 CPU, 16MHZ

275

N83C452

N83C452

Intel

8-BIT, MROM, 8051 CPU

855

NG88CO196EC40

NG88CO196EC40

Intel

MICROCONTROLLER, 16 BIT, MCS96 C

10530

P8041AH

P8041AH

Intel

8-BIT, MROM, 8048 CPU

666

N87C251SP16

N87C251SP16

Intel

IC MCU 8BIT 8KB OTP 44PLCC

197

N80C152JB

N80C152JB

Intel

8-BIT, 8051 CPU, 6MHZ

5659

P80C151SB16

P80C151SB16

Intel

8-BIT, 80151 CPU, 16MHZ PDIP40

0

MT80C31BH

MT80C31BH

Intel

8-BIT, 8051 CPU, 12MHZ CQCC44

116

P8042AH

P8042AH

Intel

8-BIT, MROM, 8048 CPU

1004

SB80C51SLAH

SB80C51SLAH

Intel

8-BIT, 8051 CPU, 16MHZ

405

SB87C51SLAH

SB87C51SLAH

Intel

MICROCONTROLLER, 8-BIT, UVPROM,

3004

YW80C196KC20

YW80C196KC20

Intel

IC MCU 16BIT ROMLESS

63

N80C196KC20

N80C196KC20

Intel

IC MCU 16BIT 16KB OTP 68PLCC

862

MZ87C51FC16

MZ87C51FC16

Intel

8-BIT, UVPROM, 8051 CPU

353

MD8751H

MD8751H

Intel

MCU, 8-BIT, UVPROM

202

P87C51FA33

P87C51FA33

Intel

MCS51 CONTROLLER

0

EV80C196KR

EV80C196KR

Intel

MCU, 16-BIT, MCS-96

0

Embedded - Microcontrollers

1. Overview

Embedded microcontrollers (MCUs) are compact integrated circuits designed to control specific functions in embedded systems. They combine processing cores, memory, and peripheral interfaces into a single chip, enabling efficient control in applications ranging from consumer electronics to industrial automation. Their importance lies in enabling smart, connected, and autonomous systems in modern technology ecosystems.

2. Main Types and Functional Classification

Type Functional Characteristics Application Examples
General-Purpose MCUs Balanced performance, basic peripherals (timers, UART) Home appliances, simple sensors
Low-Power MCUs Optimized for energy efficiency, sleep modes Wearable devices, IoT edge nodes
High-Performance MCUs 32/64-bit cores, DSP capabilities, high-speed interfaces Industrial automation, automotive systems
Automotive MCUs ISO 26262 certified, extended temperature range Engine control units, ADAS

3. Structure and Components

Typical microcontroller architecture includes:

  • CPU core (e.g., ARM Cortex-M, RISC-V)
  • Memory (Flash, SRAM, EEPROM)
  • Peripherals (GPIO, SPI, I2C, ADC/DAC)
  • Real-time clock (RTC)
  • Power management unit
  • Communication interfaces (CAN, Ethernet, USB)

Physical packaging ranges from 8-pin DIP to 200+ pin BGA for complex applications.

4. Key Technical Specifications

Parameter Description
Clock Speed Determines processing capability (1 MHz - 1 GHz)
Memory Size Flash (code storage) and RAM (data processing)
Power Consumption Active/current sleep mode current draw
I/O Lines Number and type of programmable GPIO
Operating Temperature Industrial (-40 C to 85 C) or automotive (-40 C to 125 C)

5. Application Areas

  • Consumer Electronics: Smart home devices, wearables
  • Industrial: Motor control, factory automation
  • Automotive: Body control modules, EV battery management
  • Medical: Portable diagnostic equipment, infusion pumps
  • IoT: Wireless sensor networks, edge AI nodes

6. Leading Manufacturers and Products

Manufacturer Headquarters Representative Products
Texas Instruments USA MSP430FR5994 (low-power sensing)
STMicroelectronics Switzerland STM32H7 (high-performance)
Microchip Technology USA PIC32MZ (32-bit general purpose)
NXP Semiconductors Netherlands Kinetis K82 (automotive-grade)
Infineon Technologies Germany Traveo S6J3 (automotive graphics)

7. Selection Recommendations

Key considerations:

  1. Match core architecture to computational needs
  2. Verify peripheral compatibility with sensors/actuators
  3. Check temperature/ruggedness ratings
  4. Evaluate software ecosystem (RTOS support, middleware)
  5. Consider long-term supply stability

Example: For a battery-powered IoT sensor node, prioritize ultra-low power MCUs like the EFR32MG21 with integrated wireless capabilities.

8. Industry Trends

  • Integration of AI acceleration (e.g., Arm Ethos-U NPU)
  • Edge computing focus with on-chip machine learning
  • Enhanced security features (TrustZone, secure boot)
  • Sub-1V operation for energy harvesting applications
  • Growth of heterogeneous multi-core MCUs
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