Abstract

Scan-based logic built-in self-test (LBIST) is widely used for supporting the in-system test in automotive systems. Although this technology has the advantage of low-cost testing, it suffers from low fault coverage and high switching activity during the test. This can lead to many undetected defects, excessive heat dissipation, and IR drop, inducing catastrophic risks to functional safety. Therefore, improving these two key factors is crucial to alleviate reliability problems in the automotive domain. Most previous works have focused on controlling the enormous toggling level of random patterns; however, one of the main disadvantages of these approaches is low fault coverage. Unfortunately, additional hardware costs associated with memory elements or test points are required for detecting the remaining faults. We propose a novel LBIST scheme based on weight-aware scan grouping and scheduling (WGS) to overcome these difficulties. Since the required test time of each automotive product is limited, the proposed scheme freezes the test time and focuses on improving both aforementioned factors significantly. Our approach divides scan cells into two categories: the coverage-efficient scan group and power-efficient scan group, and then it conducts weight-based scan cell reordering. Biased random patterns are fed to enhance fault coverage for the first category. For the second category, scheduling and disabling are performed to reduce switching activity. Finally, physical-aware reordering based on an inverter is performed to reduce routing overhead. Experimental results demonstrate the feasibility of the WGS methodology on the ITC’99 and OpenRISC benchmark circuits.

Highlights

  • The global automobile industry has reached an inflection point

  • In this paper, we proposed a new method for significantly improving both fault coverage and switching activity with limited test application time and few hardware resources

  • Experimental results obtained for the ITC’99 and OpenCores benchmark circuits with high random pattern resistant (RPR) fault rates demonstrated that our method reduces both target factors compared with the classical method and the recently proposed solutions

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Summary

Introduction

The global automobile industry has reached an inflection point. The original purpose of the automobile—providing simple transportation—has evolved to serve as a mobile hub characterized by keywords like electric vehicles and autonomous driving. Automotive electronics content will account for 50% of the cost of a car by 2030 [1]–[3]. Items related to functional safety are crucially considered because the operation of most ICs in this domain has a direct impact on human lives. The in-system test, which can periodically test ICs during functional operation or idle time, should be implemented to ensure the reliability of chips embedded in safety-critical application systems. The ISO 26262 standard mandates compliance with the automotive safety integrity level (ASIL) to prevent fatal car accidents due to chip malfunction in electronic components embedded in vehicles [4]. An advanced solution for each ASIL grade is required to produce high-quality test data within a given test application time

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