Design of an efficient event-driven battery monitoring system
dc.contributor.advisor | Mian Qaisar, Saeed | |
dc.contributor.author | Al-Shaiban, Amani Nasser | |
dc.date.accessioned | 2022-10-06T07:34:57Z | |
dc.date.available | 2022-10-06T07:34:57Z | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14131/79 | |
dc.description.abstract | The 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.iso | en_US | |
dc.publisher | Effat University | |
dc.subject | Event-Driven System | |
dc.subject | Battery Management System | |
dc.subject | State of Charge | |
dc.subject | Compression | |
dc.subject | Non-uniform Quantization | |
dc.subject | Li-ion battery | |
dc.subject | Coulomb Counting | |
dc.subject | Real-Time Processing | |
dc.subject | SoC-OCV curve | |
dc.title | Design of an efficient event-driven battery monitoring system | |
dc.type | Thesis | |
refterms.dateFOA | 2022-10-06T07:34:57Z | |
dc.contributor.researcher | Graduate Studies and Research |