Embedded - Microcontrollers

Image Part Number Description / PDF Quantity Rfq
S1C17564F111100

S1C17564F111100

Epson

IC MCU 16BIT 128KB FLASH 64TQFP

0

S1C17W13F001100

S1C17W13F001100

Epson

16-BIT MCU 4.2MHZ 48KB FLASH 2KB

0

S1C17704F101100

S1C17704F101100

Epson

IC MCU 16BIT 64KB FLASH 144TQFP

0

S1C17W15F004100-119

S1C17W15F004100-119

Epson

IC MCU 16BIT 64KB FLASH 100QFP

0

S1C17M01F201100

S1C17M01F201100

Epson

IC MCU 16BIT 32KB FLASH 64TQFP

0

S1C17W14F102100-90

S1C17W14F102100-90

Epson

16-BIT MCU 4.2MHZ 48KB FLASH 4KB

0

S1C17W15F003100-260

S1C17W15F003100-260

Epson

IC MCU 16BIT 64KB FLASH 80TQFP14

0

S1C17W34F001100-40

S1C17W34F001100-40

Epson

16-BIT MCU 4.2MHZ 128KB FLASH 12

0

S1C17W14F102100

S1C17W14F102100

Epson

16-BIT MCU 4.2MHZ 48KB FLASH 4KB

0

S1C17M12F101100-250

S1C17M12F101100-250

Epson

IC MCU 16BIT 16KB FLASH 48TQFP12

0

S1C17W13F003100

S1C17W13F003100

Epson

16-BIT MCU 4.2MHZ 48KB FLASH 2KB

0

S1C17W36F001100

S1C17W36F001100

Epson

16-BIT MCU 4.2MHZ 384KB FLASH 16

0

S1C17602F101100

S1C17602F101100

Epson

IC MCU 16BIT 64KB FLASH 100TQFP

0

S1C17W15F005100-160

S1C17W15F005100-160

Epson

IC MCU 16BIT 64KB FLASH DIE

0

S1C17W13F002100-260

S1C17W13F002100-260

Epson

16-BIT MCU 4.2MHZ 48KB FLASH 2KB

0

S1C17W13F003100-250

S1C17W13F003100-250

Epson

16-BIT MCU 4.2MHZ 48KB FLASH 2KB

0

S1C17705F101100

S1C17705F101100

Epson

IC MCU 16BIT 512KB FLASH 240QFP

0

S1C6F016F401100

S1C6F016F401100

Epson

IC MCU 4BIT 26KB FLASH 100QFP

0

S1C31W74B201000-348

S1C31W74B201000-348

Epson

IC MCU 32BIT 512KB FLSH 181VFBGA

0

S1C17W16F102100-90

S1C17W16F102100-90

Epson

16-BIT MCU 4.2MHZ 64KB FLASH 8KB

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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