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dc.contributor.advisorMian Qaisar, Saeed
dc.contributor.authorAl-Shaiban, Amani Nasser
dc.date.accessioned2022-10-06T07:34:57Z
dc.date.available2022-10-06T07:34:57Z
dc.date.issued2019
dc.date.submitted2019
dc.identifier.urihttp://hdl.handle.net/20.500.14131/79
dc.description.abstractThe remote and integrated Power Systems (PS) are experiencing the new development of the concept of smart and micro-grids. The battery is an elementary part of the PS and is frequently employed in many key applications like hybrid cars, drones, avionics, satellites, mobile phones, renewable powered homes, etc. Among the rechargeable batteries, the Li- Ion ones are extensively employed because of their ever-wanted features like compact size, high power supply capability, a higher number of charge-discharge cycles, etc. For effective utilization of batteries and in order to assure their longer life the Battery Management Systems (BMSs) are frequently employed. The modern BMSs require extensive processing resources which can render into higher power consumption overhead. In this context, several embedded and integrated systems-based solutions have been proposed. The focus of this work is to enhance the existing BMSs, especially in terms
dc.language.isoen_US
dc.publisherEffat University
dc.subjectEvent-Driven System
dc.subjectBattery Management System
dc.subjectState of Charge
dc.subjectCompression
dc.subjectNon-uniform Quantization
dc.subjectLi-ion battery
dc.subjectCoulomb Counting
dc.subjectReal-Time Processing
dc.subjectSoC-OCV curve
dc.titleDesign of an efficient event-driven battery monitoring system
dc.typeThesis
refterms.dateFOA2022-10-06T07:34:57Z
dc.contributor.researcherGraduate Studies and Research


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