Embedded - Microcontrollers

Image Part Number Description / PDF Quantity Rfq
AN87C196LA20F8

AN87C196LA20F8

Intel

MICROCONTROLLER, 16 BIT, MCS96 C

100

TN80C196KC20

TN80C196KC20

Intel

IC MCU 16BIT ROMLESS 68PLCC

3277

AP8395BH

AP8395BH

Intel

16-BIT, MROM, 8096 CPU, 12MHZ,

168

AN8798JC

AN8798JC

Intel

16-BIT, OTPROM, 8096 CPU, 12MHZ

1025

D87C5224

D87C5224

Intel

8-BIT, UVPROM, 8051 CPU

858

5962-8768402MUA

5962-8768402MUA

Intel

8-BIT MCU, OTPROM, 8051 CPU

1

EE80C51FA24

EE80C51FA24

Intel

MICROCONTROLLER, 8 BIT, MCS51 CO

640

N80C452

N80C452

Intel

8-BIT, 8051 CPU, 12MHZ

10

SB80C196NU

SB80C196NU

Intel

16-BIT, 8096 CPU, 40MHZ

9898

TN87C251SA16

TN87C251SA16

Intel

IC MCU 8BIT 8KB OTP 44PLCC

47

S82C42PE

S82C42PE

Intel

8-BIT, MROM, 8048 CPU

476

S82C42PC

S82C42PC

Intel

8-BIT, MROM, 8048 CPU

1648

SAFC165UTAHLF

SAFC165UTAHLF

Intel

EMBEDDED UTAH, C166

30017

YW80C196NU40

YW80C196NU40

Intel

MICROCONTROLLER, 16 BIT, MCS96 C

299

EG87C51RC24

EG87C51RC24

Intel

MICROCONTROLLER, 8 BIT, 8051 CPU

182

AN8096JC

AN8096JC

Intel

16-BIT, 8096 CPU, 12MHZ

283

N87C541

N87C541

Intel

8-BIT, OTPROM, 8051 CPU

1179

TS87C51FA1

TS87C51FA1

Intel

MCU

3225

EP82562G

EP82562G

Intel

INTERFACE CIRCUIT, PDSO48

100550

MD8749H

MD8749H

Intel

RISC MCU, CMOS

344

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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