State-of-health prediction of lithiumion battery cell in an electric vehicle
| dc.contributor.author | Nurakmal Laili Binti Mohd A’shri | |
| dc.date.accessioned | 2021-03-04T03:48:06Z | |
| dc.date.available | 2021-03-04T03:48:06Z | |
| dc.date.issued | 2019-06 | |
| dc.description.abstract | Lithium ion(Li-ion) cell have been used in almost everything around us such as cell phones, laptop computers, digital cameras and in many other electronic devices and nowadays there are more demanding applications with higher usage battery like Hybrid and Electric Vehicle (HEV). With bigger application, we need more reliable batteries as well as higher quality in their performance. Battery management system needs to be improve the performance of the battery with such high demands to be able deliver the full use of the battery cell. Several methodologies have been introduced to monitor the performance of battery by predicting the State-of Health (SoH) of the battery that generally affected by the rate of battery capacity. The improve methodology is proposed in predicting the State-of-Health (SoH) by analysing and investigating the parameters that affected the battery cell performance. The study of State-of-Health (SoH) estimation is more focusing on three parameters which are temperature, capacity of the battery and number of cycle. The reduction on the value of battery capacity and temperature led to decreasing in percentage of State-of-Health (SoH) because the lithium-ion battery undergoes aging process at each charge-and – discharge cycle. When the capacity decrease, then number of cycle increase as time passes. With these results, it can be concluded that these three parameters are crucial in indicating the health condition of the battery whether the battery still can operate or not since lithium-ion battery undergoes degradation as time passes. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/11740 | |
| dc.language.iso | en | en_US |
| dc.title | State-of-health prediction of lithiumion battery cell in an electric vehicle | en_US |
| dc.type | Other | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: