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| Fault Diagnosis of Lithium-Ion Battery for Offshore Platform UPS |
| Received:August 03, 2018 Revised:December 25, 2018 |
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| DOI：10.7643/ issn.1672-9242.2018.12.006 |
| KeyWord:UPS lithium ion battery particle filter fault diagnosis |
| Author | Institution |
| WU Jia-ming |
Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, State Key Laboratory of Ocean Engineering of Shanghai Jiao Tong University, Shanghai , China |
| CHEN Zi-qiang |
Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, State Key Laboratory of Ocean Engineering of Shanghai Jiao Tong University, Shanghai , China |
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| Abstract: |
| Objective To establish a fault diagnosis system of offshore platform UPS based on multi model particle filter to meet the high reliability requirement on uninterrupted power supply under the complex working environment. Methods The system built the communication between modules with Freescale chip, and established the fault model according to the parameters of the lithium-ion battery after failure experiment. Through conditional probability, the offshore platform UPS's normal, overcharging, over-discharge and overheating states were diagnosed to improve the reliability of offshore platform UPS. Results The experimental data were used to test the results of the diagnosis system for single fault and complex fault diagnosis, and the diagnosis time of three faults of overcharge, over-discharging and overheating was within 5 seconds. The accuracy was extremly high. Conclusions The results of test show that the fault diagnosis system designed for offshore platform UPS can diagnose fault types accurately and quickly. |
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