Embedded - Microcontrollers

Image Part Number Description / PDF Quantity Rfq
PIC16F18877-I/P

PIC16F18877-I/P

Roving Networks / Microchip Technology

IC MCU 8BIT 56KB FLASH 40DIP

366

STM32F105R8T6TR

STM32F105R8T6TR

STMicroelectronics

IC MCU 32BIT 64KB FLASH 64LQFP

0

R5F100GEGNA#W0

R5F100GEGNA#W0

Renesas Electronics America

IC MCU 16BIT 64KB FLASH 48HWQFN

0

PIC16LF721-I/ML

PIC16LF721-I/ML

Roving Networks / Microchip Technology

IC MCU 8BIT 7KB FLASH 20QFN

78

R5F52315ADFL#30

R5F52315ADFL#30

Renesas Electronics America

IC MCU 32BIT 128KB FLASH 48LFQFP

0

PIC32MX250F256HT-50I/PT

PIC32MX250F256HT-50I/PT

Roving Networks / Microchip Technology

IC MCU 32BIT 256KB FLASH 64TQFP

0

PIC24EP512MC204-I/PT

PIC24EP512MC204-I/PT

Roving Networks / Microchip Technology

IC MCU 16BIT 512KB FLASH 44TQFP

0

TMS320F28034RSHT

TMS320F28034RSHT

Texas Instruments

IC MCU 32BIT 128KB FLASH 56VQFN

0

Z8F0831SH020EG

Z8F0831SH020EG

Zilog / Littelfuse

IC MCU 8BIT 8KB FLASH 20SOIC

0

PIC24FJ64GA202-I/SO

PIC24FJ64GA202-I/SO

Roving Networks / Microchip Technology

IC MCU 16BIT 64KB FLASH 28SOIC

0

PIC16F15213-I/SN

PIC16F15213-I/SN

Roving Networks / Microchip Technology

IC MCU 8BIT 3.5KB FLASH 8SOIC

0

M30621FCAGP#U3

M30621FCAGP#U3

Renesas Electronics America

16-BIT, FLASH, M16C CPU

1949

EFM8LB10F16ES0-C-QFN32R

EFM8LB10F16ES0-C-QFN32R

Silicon Labs

IC MCU 8BIT 16KB FLASH 32QFN

0

PIC16C54-RC/P

PIC16C54-RC/P

Roving Networks / Microchip Technology

IC MCU 8BIT 768B OTP 18DIP

142

SPC5674FAMVY3

SPC5674FAMVY3

NXP Semiconductors

IC MCU 32BIT 4MB FLASH 516FPBGA

0

PIC16F1579-E/P

PIC16F1579-E/P

Roving Networks / Microchip Technology

IC MCU 8BIT 14KB FLASH 20DIP

0

DSPIC33CH128MP505-I/M4

DSPIC33CH128MP505-I/M4

Roving Networks / Microchip Technology

IC MCU 16BIT 152KB FLASH 48UQFN

252

DSPIC33EV256GM106-I/MR

DSPIC33EV256GM106-I/MR

Roving Networks / Microchip Technology

IC MCU 16BIT 256KB FLASH 64VQFN

81

C8051F007-GQR

C8051F007-GQR

Silicon Labs

IC MCU 8BIT 32KB FLASH 32LQFP

0

MSP430F5335IZCAT

MSP430F5335IZCAT

Texas Instruments

IC MCU 16BIT 256KB FLSH 113NFBGA

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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