This paper is published in Volume-5, Issue-3, 2019
Area
Quality And Reliability
Author
Kotekallu Ravi
Co-authors
Anil Kumar Ammina, Dr. Sankar Velamury
Org/Univ
Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India
Pub. Date
15 May, 2019
Paper ID
V5I3-1332
Publisher
Keywords
Electronic Control Unit, Accelerated Life Test, Maximum Likelihood Estimation, Coffin and Manson Model, Minor fatigue Model, Sherlock simulation, IEC60068-2-14, IEC60068-2-64, Reliability and life cycle

Citationsacebook

IEEE
Kotekallu Ravi, Anil Kumar Ammina, Dr. Sankar Velamury. Accelerated life testing of Electronic Control Unit, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Kotekallu Ravi, Anil Kumar Ammina, Dr. Sankar Velamury (2019). Accelerated life testing of Electronic Control Unit. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Kotekallu Ravi, Anil Kumar Ammina, Dr. Sankar Velamury. "Accelerated life testing of Electronic Control Unit." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

An Electronic Control Unit (ECU) is an embedded system in automotive electronics that control one or more electro-mechanical systems or subsystems in a vehicle. For a sophisticated automotive will almost have 200 ECUs for multipurpose. Optimal Accelerated Life Test (ALT) Plan of Temperature Cycling (TC) and Mechanical Vibration (MV) for ECU are developed. TC is carried out as per IEC60068-2-14 (Nb) and MV was carried out as per IEC60068-2-64. Failure data is recorded and fitted to Weibull Distribution using Maximum Likelihood Estimation (MLE) in Minitab. Coffin and Manson Model (CMM) has been used to observe failures due to TC and Minor Fatigue Model (MFM) has been used to observe failures due to Random MV. Reliability and Life of the ECU are estimated and compared with Sherlock Simulation.
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