Publication: Analyses of battery cell utilisation in an electric vehicle
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering::Electrical and electronic engineering | |
| dc.contributor.author | Mohammad Zulhilmi bin Mohammad | |
| dc.date.accessioned | 2025-05-28T06:57:48Z | |
| dc.date.available | 2025-05-28T06:57:48Z | |
| dc.date.issued | 2024-08 | |
| dc.description.abstract | This This thesis investigates enhancing battery management systems (BMS) for electric vehicles (EVs) through redundant cells and active balancing mechanisms. The main goals are to improve the reliability and efficiency of EV battery packs, optimize redundant cell use, and enhance fault tolerance and diagnostics. A MATLAB Simulink model simulates a battery pack with 20 lithium-ion cells, a boost converter, and a DC motor running at 50 km/h. The initial State of Charge (SOC) for each cell was set between 80% and 85%. The active balancing system maintained uniform SOC across all cells, optimizing cell utilization and extending the battery pack's lifespan. In fault conditions, such as the failure of Cell 19, the system demonstrated robust fault tolerance by compensating with the remaining cells and maintaining stable outputs to the motor. The system's fault detection and isolation mechanisms effectively managed current flow, ensuring stable voltage and current. The study shows that active balancing enhances the reliability, longevity, and safety of EV battery packs by preventing overheating and complying with industry standards. This research addresses critical issues in the EV industry, such as uneven cell utilization and battery degradation. Future research should focus on improving BMS safety and reliability with advanced fault detection algorithms, comprehensive thermal management, and adaptive balancing. Additionally, using safer materials in battery construction and developing a user-friendly interface for real-time monitoring will enhance user experience and trust in the technology. This thesis provides a solid foundation for future BMS advancements, promoting the broader adoption of electric vehicles. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/21958 | |
| dc.language.iso | en | |
| dc.title | Analyses of battery cell utilisation in an electric vehicle | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |