Battery is the sole electrical energy source when electric vehicle(EV) is moving.
To reduce traveling anxiety, an effective energy management system to indicate the state-of-charge (SOC) of the battery and make a balance between vehicle performance and endurance is very important. This research is aimed to develop a SOC estimation system with high accuracy. The proposed method in this thesis is based on under load voltage and multilevel Peukert's equation to estimate the SOC.
The proposed method is compared with the open circuit voltage method for initial SOC estimation and with coulometric method for cumulative SOC estimation under various EV driving conditions simulated by an adjustable electronics load. Experimental results indicate that the proposed method can provide reasonable accuracy as compared with other tested methods for LiFePO4 battery SOC estimations.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0911112-134700 |
| Date | 11 September 2012 |
| Creators | Chen, Kai-Jui |
| Contributors | Tzung-Lin Lee, Chan-Nan Lu, Rong-Ceng Leou, Jen-Hao Teng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-134700 |
| Rights | user_define, Copyright information available at source archive |
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