| URN |
etd-0911112-134700 |
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| Author |
Kai-Jui Chen |
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| Author's Email Address |
No Public. |
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| Statistics |
This thesis had been viewed 5353 times. Download 2067 times. |
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| Department |
Electrical Engineering |
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| Year |
2011 |
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| Semester |
2 |
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| Degree |
Master |
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| Type of Document |
|
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| Language |
zh-TW.Big5 Chinese |
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| Title |
State-of-Charge Estimation Method for LiFePO4
Electric Vehicle Batteries |
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| Date of Defense |
2012-08-29 |
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| Page Count |
133 |
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| Keyword |
LiFePO4 batteries
State-of-Charge estimation
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| Abstract |
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. |
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| Advisory Committee |
Rong-Ceng Leou - chair
Tzung-Lin Lee - co-chair
Jen-Hao Teng - co-chair
Chan-Nan Lu - advisor
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| Files |
Indicate in-campus at 0 year and off-campus access at 2 year. |
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| Date of Submission |
2012-09-11 |
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