Manufacturer Part Number
SPC5643LFF2MLL6
Manufacturer
NXP Semiconductors
Introduction
The SPC5643LFF2MLL6 is a high-performance 32-bit dual-core embedded microcontroller from the MPC56xx Qorivva series. It features a robust e200z4 core, a wide range of connectivity options, and a comprehensive suite of peripherals, making it an ideal choice for advanced industrial and automotive applications.
Product Features and Performance
32-Bit Dual-Core e200z4 Processor
Operating Frequency: 64MHz
Connectivity: CAN, FlexRay, LIN, SPI, UART/USART
Peripherals: DMA, POR, PWM, Watchdog Timer
Program Memory: 1MB FLASH
RAM: 128KB
32x12-Bit Analog-to-Digital Converters
Internal Oscillator
Wide Operating Temperature Range: -40°C to 125°C
Product Advantages
Powerful dual-core architecture for improved performance and reliability
Extensive connectivity options for integration with a variety of systems
Comprehensive peripheral set for advanced control and monitoring applications
Robust design for reliable operation in harsh environments
Key Reasons to Choose This Product
Exceptional processing power and versatility for demanding applications
Proven reliability and long-term availability from a trusted semiconductor manufacturer
Comprehensive development tools and support for faster time-to-market
Cost-effective solution for high-volume production
Quality and Safety Features
Industrial-grade components and rigorous quality control
Compliance with relevant safety and regulatory standards
Robust design for reliable operation in challenging environments
Compatibility
The SPC5643LFF2MLL6 is a part of the MPC56xx Qorivva series and is compatible with other models in the same series.
Application Areas
Industrial automation and control systems
Automotive electronics
Transportation and infrastructure systems
Medical devices
Aerospace and defense applications
Product Lifecycle
The SPC5643LFF2MLL6 is an active product, and NXP Semiconductors continues to provide support and availability. Customers are advised to contact our website's sales team for information on any potential equivalent or alternative models.