海洋平台不间断电源锂离子蓄电池故障诊断

目的针对海洋平台不间断电源(Uninterrupted Power Supply,UPS)可靠性要求高,工作环境复杂等特点,建立一种基于多模型粒子滤波的海洋平台UPS故障诊断系统。方法该系统基于飞思卡尔芯片建立各模块间的通信,并根据锂离子电池故障实验后的参数建立故障模型,通过条件概率对海洋平台UPS的正常、过充、过放和过热四类状态进行诊断,提高海洋平台UPS的可靠性。结果使用部分实验所得数据测试了诊断系统对单一故障和复合故障诊断的结果,得到诊断算法对过充、过放和过热三种故障的诊断时间在5 s以内,准确率极高。结论测试结果显示,设计得到的海洋平台UPS故障诊断系统可以准确迅速地诊断故障类型。

Fault Diagnosis of Lithium-Ion Battery for Offshore Platform UPS

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.