Embedded - Microcontrollers

Image Part Number Description / PDF Quantity Rfq
C8051F586-IQ

C8051F586-IQ

Silicon Labs

IC MCU 8BIT 96KB FLASH 32LQFP

250

EFM8LB11F32ES0-C-QFN32

EFM8LB11F32ES0-C-QFN32

Silicon Labs

IC MCU 8BIT 32KB FLASH 32QFN

0

EFM32LG842F64G-F-QFP64

EFM32LG842F64G-F-QFP64

Silicon Labs

IC MCU 32BIT 64KB FLASH 64TQFP

0

SIM3C164-B-GM

SIM3C164-B-GM

Silicon Labs

IC MCU 32BIT 256KB FLASH 40QFN

699

EFM32GG230F1024G-E-QFN64

EFM32GG230F1024G-E-QFN64

Silicon Labs

IC MCU 32BIT 1MB FLASH 64QFN

0

EFM32GG12B510F1024GL120-AR

EFM32GG12B510F1024GL120-AR

Silicon Labs

IC MCU 32BIT 1MB FLASH 120BGA

0

SIM3C146-B-GMR

SIM3C146-B-GMR

Silicon Labs

IC MCU 32BIT 64KB FLASH 64QFN

0

EFM8SB10F2G-A-QFN20R

EFM8SB10F2G-A-QFN20R

Silicon Labs

IC MCU 8BIT 2KB FLASH 20QFN

0

EFM32ZG108F4-B-QFN24

EFM32ZG108F4-B-QFN24

Silicon Labs

IC MCU 32BIT 4KB FLASH 24QFN

0

C8051F806-GM

C8051F806-GM

Silicon Labs

IC MCU 8BIT 16KB FLASH 20QFN

0

EFM32TG11B540F64IQ64-BR

EFM32TG11B540F64IQ64-BR

Silicon Labs

IC MCU 32BIT 64KB FLASH 64TQFP

0

C8051F310-GQR

C8051F310-GQR

Silicon Labs

IC MCU 8BIT 16KB FLASH 32LQFP

0

EFM32TG825F8-BGA48T

EFM32TG825F8-BGA48T

Silicon Labs

IC MCU 32BIT 8KB FLASH 48BGA

0

EFM8LB11F16E-B-QFN32

EFM8LB11F16E-B-QFN32

Silicon Labs

IC MCU 8BIT 16KB FLASH 32QFN

486

EFM8LB11F32E-C-QFN32R

EFM8LB11F32E-C-QFN32R

Silicon Labs

IC MCU 8BIT 32KB FLASH 32QFN

0

C8051F315-GMR

C8051F315-GMR

Silicon Labs

IC MCU 8BIT 8KB FLASH 28QFN

0

C8051F353-GMR

C8051F353-GMR

Silicon Labs

IC MCU 8BIT 8KB FLASH 28MLP

1000

C8051F338-GM

C8051F338-GM

Silicon Labs

IC MCU 8BIT 16KB FLASH 24QFN

2352

C8051F863-C-IS

C8051F863-C-IS

Silicon Labs

IC MCU 8BIT 8KB FLASH 16SOIC

0

C8051T605-GS

C8051T605-GS

Silicon Labs

IC MCU 8BIT 2KB OTP 14SOIC

1170

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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