{"title":"A Fault-Tolerant DC-DC Buck Converter with Zero Interruption Time for Autonomous Vehicles","authors":"Preethi Sharma K., Vijayakumar T.","doi":"10.24200/sci.2023.61387.7283","DOIUrl":null,"url":null,"abstract":"A high-end autonomous vehicle is expected to have at least a hundred different electronic subsystems. Each one of them takes power from the battery through Power Management Unit (PMU). Having an efficient PMU is crucial and is expected to supply the required level of uninterrupted power. PMU consists of several buck converters which translate a higher voltage level to required lower voltage levels. A PMU is more reliable if it consists efficient and well-structured voltage converters. In this paper, a fault-tolerant buck converter is designed which outputs 3.3 volts. A simple yet effective technique is proposed to design a fault-tolerant buck DC-DC converter by bypassing the faulty converter leg. The proposed system utilizes a signal processing-based method for fault detection. The secondary converter is activated only upon the confirmed prognosis of a faulty primary converter. Ripple content in the output Aluminum Electrolytic Capacitor (AEC) voltage is monitored and used as a primary health indicator for the converter. An experimental setup is built and tested in the laboratory. Experimental results indicate a smooth transition from the primary converter to the secondary demonstrating an uninterrupted power supply along with the simplicity and effectiveness of the proposed solution.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"63 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Iranica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24200/sci.2023.61387.7283","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A high-end autonomous vehicle is expected to have at least a hundred different electronic subsystems. Each one of them takes power from the battery through Power Management Unit (PMU). Having an efficient PMU is crucial and is expected to supply the required level of uninterrupted power. PMU consists of several buck converters which translate a higher voltage level to required lower voltage levels. A PMU is more reliable if it consists efficient and well-structured voltage converters. In this paper, a fault-tolerant buck converter is designed which outputs 3.3 volts. A simple yet effective technique is proposed to design a fault-tolerant buck DC-DC converter by bypassing the faulty converter leg. The proposed system utilizes a signal processing-based method for fault detection. The secondary converter is activated only upon the confirmed prognosis of a faulty primary converter. Ripple content in the output Aluminum Electrolytic Capacitor (AEC) voltage is monitored and used as a primary health indicator for the converter. An experimental setup is built and tested in the laboratory. Experimental results indicate a smooth transition from the primary converter to the secondary demonstrating an uninterrupted power supply along with the simplicity and effectiveness of the proposed solution.
期刊介绍:
The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas.
The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.