| dc.contributor.author | GUERMOUDI, Hadj Abdelkader | |
| dc.date.accessioned | 2023-10-04T09:42:00Z | |
| dc.date.available | 2023-10-04T09:42:00Z | |
| dc.date.issued | 2023-06-26 | |
| dc.identifier.uri | http://hdl.handle.net/STDB_UNAM/472 | |
| dc.description.abstract | Battery technology has been one of the bottlenecks in electric cars. Whether it is in theory or in practice, the research on battery management is extremely important, especially for battery state of charge estimation. In fact, the battery has a strong timevarying and non-linear properties, which are extremely complex. Therefore, accurately estimating the state of charge is a challenging task. In this study, a comprehensive analysis was conducted to explore the popularity and advantages of lithium cells, along with their characteristics and the factors influencing state of charge measurements. The aim was to develop an accurate embedded state of charge estimation circuit that could meet specific requirements and provide insights into the behavior of lithium cells. The study’s results contribute not only to the field of battery management systems but also offer a broader understanding of state of charge estimation for lithium cells. By implementing a passive-based model on an elecronic circuit with microcontroller, the circuit enables real-time and precise measurement of the state of charge. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Directeur: Mr A. F. KERBOUA / Co-Directeur 1: Mr F. BOUKLI HACEN/ Co-Directeur 2: A. CHELLAL | en_US |
| dc.subject | State of Charge; Embedded system; Lithium Battery; Embedded system; Artificial Intelligence; Sensors. | en_US |
| dc.title | Development of an Intelligent Prototype for Lithium Battery State of Charge Estimation | en_US |
| dc.type | Thesis | en_US |