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On-line BIST for performance failure prediction under aging effects in automotive safety-critical applications

Electronic design of high-performance digital systems in nano-scale CMOS technologies under Process, power supply Voltage, Temperature and Aging (PVTA) variations is a challenging process. Such variations induce abnormal timing delays leading to systems errors, harmful in safety-critical applications. Performance Failure Prediction (PFP), instead of error detection, becomes necessary, particularly in the presence of aging effects. In this paper, an on-line BIST methodology for PFP in a standard cell design flow is proposed. The methodology is based on abnormal delay detection associated with critical signal paths. PVTA-aware aging sensors are designed. Multilevel simulation is used. Functional and structural test pattern generation is performed, targeting the detection of critical path delay faults. A sensor insertion technique is proposed, together with an up-graded version of a proprietary software tool, DyDA. Finally, a novel strategy for gate-level Aging fault injection is proposed, using the concept of an Aging de-rating factor. Results are presented for a Serial Parallel Interface (SPI) controller, designed with commercial UMC 130nm CMOS technology and Faraday™ cell library. Only seven sensors are required to monitor unsafe performance operation, due to Negative Bias Thermal Instability (NBTI)-induced aging.