URN |
etd-0627116-174422 |
Author |
Jhih-Kai Wang |
Author's Email Address |
power01012007@yahoo.com |
Statistics |
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Department |
Electrical Engineering |
Year |
2015 |
Semester |
2 |
Degree |
Master |
Type of Document |
|
Language |
zh-TW.Big5 Chinese |
Title |
Battery Power System with Online SOC and SOH Calibration |
Date of Defense |
2016-07-20 |
Page Count |
59 |
Keyword |
Coulomb counting
Battery
State-of-charge (SOC)
State-of-health (SOH)
Battery power module (BPM)
|
Abstract |
A laboratory battery power source is set up by four buck-boost type battery power modules (BPMs) with lithium iron phosphate (LiFePO4) batteries. Real-time estimations of batteries' state-of-charges (SOCs) and state-of-healths (SOHs) by the coulomb counting method are possible since the batteries in BPMs can be individually controlled during either charging or discharging cycle. A standard calibration process is proposed to assess a battery’s SOH by deliberately charging or discharging the battery from empty to full or from full to empty with a scheduled profile. On the other hand, partial calibration can be made in the case that the estimation starts from a status neither full nor empty but ends at the point of empty or full. By identifying the maximum charge status with standard or partial calibration, the SOH of battery in BPMs can be updated accordingly, and then the SOCs can be estimated more precisely. Experimental tests are carried out to demonstrate that the battery power system can provide an accurate online indication of batteries’ SOCs achieve charge equalization and at the same time achieve charge equalization . |
Advisory Committee |
Chih-Chiang Hua - chair
Yong-Nong Chang - co-chair
Hong-Tzer Yang - co-chair
Hau-Chen Yen - co-chair
Chin-Sien Moo - advisor
|
Files |
Indicate in-campus at 5 year and off-campus access at 5 year. |
Date of Submission |
2016-07-27 |