Analysis and Design of CRC-based SENT Interface for Future Automotive Applications

This paper presents the implementation and analysis of a 4-bit cyclic redundancy check (CRC) design for the SENT protocol, to identify data errors up to four bits in size. The proposed CRC design for the vehicular interconnect can operate at 1 MHz with a low power consumption of 1.6 μW at 1 V supply voltage. When the proposed CRC schemes are applied to the modern single-edge nibble transmission (SENT) interface for automotive applications, the data reliability and secured data transactions between sensors and electric control units (ECUs) can be improved. The proposed CRC encoders and decoders for the SENT Interface can significantly increase the key performance of data reliability and error detection capabilities.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/isocc62682.2024.10762090
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Analysis and Design of CRC-based SENT Interface for Future Automotive Applications

M.-J. Kim, Gyung-Su Byun, Esha Muzammal, Saransh Rajjarwal
Manufacturing Process and Optimization
article

Analysis and Design of CRC-based SENT Interface for Future Automotive Applications

M.-J. Kim, Gyung-Su Byun, Esha Muzammal, Saransh Rajjarwal
article en

Abstract

This paper presents the implementation and analysis of a 4-bit cyclic redundancy check (CRC) design for the SENT protocol, to identify data errors up to four bits in size. The proposed CRC design for the vehicular interconnect can operate at 1 MHz with a low power consumption of 1.6 μW at 1 V supply voltage. When the proposed CRC schemes are applied to the modern single-edge nibble transmission (SENT) interface for automotive applications, the data reliability and secured data transactions between sensors and electric control units (ECUs) can be improved. The proposed CRC encoders and decoders for the SENT Interface can significantly increase the key performance of data reliability and error detection capabilities.

Inha University (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Manufacturing Process and Optimization
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