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http://210.212.227.212:8080/xmlui/handle/123456789/371Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Misna, Navas | - |
| dc.contributor.author | Jibi P, Mathew | - |
| dc.date.accessioned | 2023-06-27T09:57:08Z | - |
| dc.date.available | 2023-06-27T09:57:08Z | - |
| dc.date.issued | 2022-06-30 | - |
| dc.identifier.uri | http://210.212.227.212:8080/xmlui/handle/123456789/371 | - |
| dc.description.abstract | A vital component of a battery electric vehicle is the electric propulsion system. Performance degradation in the drive system and, more seriously, a loss of power in the vehicle may result from anomalies in the electric drive system components. An integrated prognosis system for the early isolation and detection of the electric drive system and component failure of small BEVs is proposed in this project. The primary objective of this thesis is to develop a novel technology for prognosis and drive system failure diagnostics, which in turn avoids loss of propulsion and the walk-to-home situation for small BEV customers. Based on available fault statics of BEVs, various faults are ranked and selected lead electrical faults such as stator winding open and short circuit faults to reduce the complexity of the system and to implement in budget small BEVs economically. The novelty of the proposed system is fault diagnosing of the entire electric drive system, that is the BEV battery fault also diagnosing here. The battery health check is related to the ageing of the battery or remaining life period based on battery SOC, voltage, current, and the occurrence of severe degradation in the battery. Detecting the defect at its earliest stage will help to significantly reduce the cost of maintenance | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | ;TKM20EEPS09 | - |
| dc.title | AN ONBOARD FAULT PROGNOSIS AND ISOLATION FOR SMALL BEVs | en_US |
| dc.type | Technical Report | en_US |
| Appears in Collections: | 2022 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| TKM20EEPS09 MISNA NAVAS Thesis Report Final.pdf | 2.56 MB | Adobe PDF | View/Open |
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