Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle
| dc.contributor.author | Gadsden SA | |
| dc.contributor.author | Habibi SR | |
| dc.contributor.department | Mechanical Engineering | |
| dc.date.accessioned | 2024-09-08T17:11:40Z | |
| dc.date.available | 2024-09-08T17:11:40Z | |
| dc.date.issued | 2011-09-01 | |
| dc.date.updated | 2024-09-08T17:11:40Z | |
| dc.description.abstract | Recently, a new type of interacting multiple model (IMM) method was introduced based on the relatively new smooth variable structure filter (SVSF), and is referred to as the IMM-SVSF. The SVSF is a type of sliding mode estimator that is formulated in a predictor-corrector fashion. This strategy keeps the estimated state bounded within a region of the true state trajectory, thus creating a stable and robust estimation process. The IMM method may be utilized for fault detection and diagnosis, and is classified as a model-based method. In this paper, for the purposes of fault detection, the IMM-SVSF is applied through simulation on a simple battery system which is modeled from a hybrid electric vehicle. © 2011 IEEE. | |
| dc.identifier.doi | https://doi.org/10.1109/vppc.2011.6043175 | |
| dc.identifier.uri | http://hdl.handle.net/11375/30135 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.rights.license | Attribution-NonCommercial-NoDerivs - CC BY-NC-ND | |
| dc.rights.uri | 7 | |
| dc.subject | 4007 Control Engineering, Mechatronics and Robotics | |
| dc.subject | 40 Engineering | |
| dc.subject | 4010 Engineering Practice and Education | |
| dc.subject | 7 Affordable and Clean Energy | |
| dc.title | Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle | |
| dc.type | Article |
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