SOC estimation of rechargeable batteries
In order to ensure that the energy inside the battery is made good use for supplying the portable product and that the risk of damaging the batteries is minimized, the state-of-charge (SOC), which cannot be measured directly, of the battery needs to be accurate. In this thesis, two kinds...
| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/64944 |
| _version_ | 1811681815088332800 |
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| author | Chen, Wanjing |
| author2 | Wang Youyi |
| author_facet | Wang Youyi Chen, Wanjing |
| author_sort | Chen, Wanjing |
| collection | NTU |
| description | In order to ensure that the energy inside the battery is made good use for supplying
the portable product and that the risk of damaging the batteries is minimized, the
state-of-charge (SOC), which cannot be measured directly, of the battery needs to be
accurate.
In this thesis, two kinds of estimators, the EKF and the UKF, were introduced and
tested in Matlab environment. First, an accurate battery model was quoted and
several verified tests were conducted in order to introduce the model at length. The
voltage, measured SOC and current data was also obtained in this process for the
next estimation step. Then, the EKF and the UKF algorithms were introduced.
Experiments were then conducted in order to verify the algorithms in different kinds
of situations. The results showed that when the conditions were not ideal, the UKF
could perform better than the EKF. |
| first_indexed | 2024-10-01T03:46:56Z |
| format | Thesis |
| id | ntu-10356/64944 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:46:56Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/649442023-07-04T15:24:00Z SOC estimation of rechargeable batteries Chen, Wanjing Wang Youyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In order to ensure that the energy inside the battery is made good use for supplying the portable product and that the risk of damaging the batteries is minimized, the state-of-charge (SOC), which cannot be measured directly, of the battery needs to be accurate. In this thesis, two kinds of estimators, the EKF and the UKF, were introduced and tested in Matlab environment. First, an accurate battery model was quoted and several verified tests were conducted in order to introduce the model at length. The voltage, measured SOC and current data was also obtained in this process for the next estimation step. Then, the EKF and the UKF algorithms were introduced. Experiments were then conducted in order to verify the algorithms in different kinds of situations. The results showed that when the conditions were not ideal, the UKF could perform better than the EKF. Master of Science (Power Engineering) 2015-06-09T07:45:21Z 2015-06-09T07:45:21Z 2014 2014 Thesis http://hdl.handle.net/10356/64944 en 85 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Chen, Wanjing SOC estimation of rechargeable batteries |
| title | SOC estimation of rechargeable batteries |
| title_full | SOC estimation of rechargeable batteries |
| title_fullStr | SOC estimation of rechargeable batteries |
| title_full_unstemmed | SOC estimation of rechargeable batteries |
| title_short | SOC estimation of rechargeable batteries |
| title_sort | soc estimation of rechargeable batteries |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/64944 |
| work_keys_str_mv | AT chenwanjing socestimationofrechargeablebatteries |