TCAN334GDCNR by Texas Instruments

The TCAN334GDCNR is a high-performance, automotive-grade CAN transceiver from Texas Instruments (TI), designed to facilitate communication within automotive networking systems. This robust transceiver is compliant with the ISO 11898-2 (2016) High-Speed CAN (Controller Area Network) physical layer standard. The device is specifically tailored for use in applications that require high-speed data transmission with reliable error handling and robustness against harsh electrical environments.

With its wide bus-fault protection of ±58V and an extended common-mode range (-15V to +15V), the TCAN334GDCNR ensures dependable communication in the presence of large ground offsets and common-mode noise. This makes it an ideal choice for automotive networks where electrical disturbances are common. Additionally, the device supports data rates up to 5 Mbps, making it suitable for high-speed CAN FD (Flexible Data-rate) networks that demand faster data transmission capabilities.

The TCAN334GDCNR operates over a broad temperature range of -40°C to +125°C, ensuring reliability in the extreme temperature variations encountered in automotive environments. Its low-power mode with remote wake-up capability allows for efficient power management by enabling the network to wake the device from a low-power state when necessary.

The device comes in an 8-pin, narrow SOIC (D) package, which is optimized for small form factor applications, and its lead-free construction is in compliance with RoHS directives, making it an environmentally friendly choice. With bus-pin electrostatic discharge (ESD) protection exceeding ±16 kV HBM (Human Body Model), the TCAN334GDCNR is designed to withstand the rigors of automotive applications and the demands of a harsh electrical environment.

In summary, the TCAN334GDCNR from Texas Instruments is a reliable and robust solution for high-speed CAN communication in automotive applications. Its advanced features ensure that it can handle the high-speed data throughput and environmental challenges typical of modern vehicle networks.