A Novel Approach of Health Condition Assessment for Boost Converters under Variable Temperature Conditions
Sun Quan1, Wang Youren1, Jiang Yuanyuan1, 2, Shao Liwei1
1. College of Automation Nanjing University of Aeronautics and Astronautics Nanjing 211106 China; 2. College of Electrical and Information Engineering Anhui University of Science and Technology Huainan 232001 China
Abstract The health condition assessment for key components based on characteristic parameter estimation is one of the most significant technologies for circuit-level prognostics and health management (PHM). However, changes in operating temperature can lead to inconsistencies in the estimated values of characteristic parameters and their failure criteria (at 25 degrees Celsius), resulting in inaccurate condition evaluation. Therefore, for the non-ideal Boost converter, firstly, this paper provides the values of characteristic parameters by particle swarm optimization (PSO) algorithm. Then, the mathematical models of the characteristic parameters and operating temperature for electrolytic capacitor and power MOSFET are established, respectively. Meanwhile, the normalized factor (NF) and health index (HI) are defined in this paper. Finally, to achieve health condition assessment under various temperature conditions, a novel approach of updating the model parameters dynamically based on unscented particle filter is proposed. In addition, experimental results show that the parameter identification error is less than 5% and the health evaluation accuracy is over 90%.
Sun Quan,Wang Youren,Jiang Yuanyuan等. A Novel Approach of Health Condition Assessment for Boost Converters under Variable Temperature Conditions[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1364-1373.
[1] Yang S, Xiang D, Bryant A, et al.Condition monitoring for device reliability in power electronic converters: a review[J]. IEEE Transactions on Power Electronics, 2010, 22(11): 2734-2752. [2] 李明昆, 宋丹妮. 基于小波分析和随机森林算法的变流器电路故障诊断研究[J]. 电气技术, 2016, 17(6): 36-40. Li Mingkun, Song Danni.Fault diagnosis method of converter circuit base on wavelet analyze and RF algorithm[J]. Electrical Engineering, 2016, 17(6): 36-40. [3] 边莉, 边晨源. 电网故障诊断的智能方法综述[J]. 电力系统保护与控制, 2014, 42(3): 146-153. Bian Li, Bian Chenyuan.Review on intelligence fault diagnosis in power networks[J]. Power System Pro- tection and Control, 2014, 42(3): 146-153. [4] Riera-Guasp M, Antonino-Daviu J A, Capolino G. Advances in electrical machine, power electronic and drive condition monitoring and fault detection: state of the art[J]. IEEE Transactions on Industrial Electronics, 2015, 62(3): 1746-1759. [5] 沈刚, 周雒维, 杜雄, 等. 基于小波奇异熵理论的IGBT模块键合线脱落故障特征分析[J]. 电工技术学报, 2013, 28(6): 165-171. Shen Gang, Zhou Luowei, Du Xiong, et al.Characte- ristics analysis of IGBT module with bond wire lift-off based on wavelet singular entropy theory[J]. Transactions of China Electrotechnical Society, 2013, 28(6): 165-171. [6] Amaral A, Cardoso A.Simple experimental techni- ques to characterize capacitors in a wide range of frequencies and temperatures[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(5): 1258-1267. [7] Amaral A, Cardoso A.On-line fault detection of aluminium electrolytic capacitors, in step-down DC-DC converters, using input current and output voltage ripple[J]. IET Power Electronics, 2012, 5(3): 315-322. [8] 唐伟杰, 姚凯, 胡文斌, 等. 一种无电流传感器的CCM Buck变换器输出电容ESR和C的在线监测方法[J]. 中国电机工程学报, 2015, 35(21): 5569-5576. Tang Weijie, Yao Kai, Hu Wenbin, et al.An online monitoring scheme of output capacitor’s ESR and C for CCM Buck converters without current sensors[J]. Proceedings of the CSEE, 2015, 35(21): 5569-5576. [9] Mann J K, Perinpanayagam S, Jennions I.Aging detection capability for switch-mode power conver- ters[J]. IEEE Transactions on Industrial Electronics, 2016, 63(5): 3216-3227. [10] Abdennadher K, Venet P, Rojat G, et al.A real-time predictive-maintenance system of aluminum elec- trolytic capacitors used in uninterrupted power supplies[J]. IEEE Transactions on Industry Appli- cations, 2010, 46(4): 1644-1652. [11] Perisse F, Venet P, Rojat G, et al.Simple model of an electrolytic capacitor taking into account the temperature and aging time[J]. Electrical Engineering, 2006, 88(2): 89-95. [12] 黄科元, 刘静佳, 黄守道, 等. 永磁直驱系统变流器开路故障诊断方法[J]. 电工技术学报, 2015, 30(16): 129-136. Huang Keyuan, Liu Jingjia, Huang Shoudao, et al.Converters open-circuit fault-diagnosis methods research for direct-driven permanent magnet wind power system[J]. Transactions of China Electrotechnical Society, 2015, 30(16): 129-136. [13] 韩丽, 罗朋, 汤家升, 等. 基于H桥变流器的IGBT开路故障诊断[J]. 电工技术学报, 2016, 31(16): 163-171. Han Li, Luo Peng, Tang Jiasheng, et al.Fault diagnosis research based on the H bridge inverter IGBT open circuit[J]. Transactions of China Electrotechnical Society, 2016, 31(16): 163-171. [14] 于生宝, 何建龙, 王睿家, 等. 基于小波包分析和概率神经网络的电磁法三电平变换器故障诊断方法[J]. 电工技术学报, 2016, 31(17): 102-112. Yu Shengbao, He Jianlong, Wang Ruijia, et al.Fault diagnosis of electromagnetic three-level inverter based on wavelet packet analysis and probabilistic neural networks[J]. Transactions of China Electro- technical Society, 2016, 31(17): 102-112. [15] Celaya J R, Saxena A, Kulkarni C S, et al.Prognostics approach for power MOSFET under thermal-stress aging[C]//Reliability and Maintai- nability Symposium (RAMS), Reno, NV, 2012: 23-26. [16] Dusmez S, Akin B.An accelerated thermal aging platform to monitor fault precursor on-state resistance[C]//IEEE International Electric Machines and Drives Conference (IEMDC), Coeur d'Alene, ID, USA, 2015: 10-13. [17] Nasrin M S, Khan F H, Alam M K.Quantifying device degradation in live power converters using SSTDR assisted impedance matrix[J]. IEEE Transa- ctions on Power Electronics, 2014, 29(6): 3116-3131. [18] Dusmez S, Akin B.An active life extension strategy for thermally aged power switches based on pulse- width adjustment method in interleaved converters[J]. IEEE Transactions on Power Electronics, 2016, 31(7): 5149-5160. [19] 马皓, 毛兴云, 徐德鸿. 基于混杂系统模型的DC/DC电力电子电路参数辨识[J]. 中国电机工程学报, 2005, 25(10): 50-54. Ma Hao, Mao Xingyun, Xu Dehong.Parameter identification of DC/DC power electronic circuits based on hybrid system model[J]. Proceedings of the CSEE, 2005, 25(10): 50-54. [20] 孙凤艳, 王友仁, 林华, 等. 基于频域建模与遗传算法的电力电子电路参数辨识方法[J]. 电工技术学报, 2011, 26(11): 99-104. Sun Fengyan, Wang Youren, Lin Hua, et al.Parameter identification of power electronic circuit based on transfer function model and genetic algorithm[J]. Transactions of China Electrotechnical Society, 2011, 26(11): 99-104. [21] 高学金, 崔宁, 张亚潮, 等. 基于粒子群优化MICA的间歇过程故障监测[J]. 仪器仪表学报, 2015, 36(1): 152-159. Gao Xuejin, Cui Ning, Zhang Yachao, et al.Fault detection of batch processes based on MICA optimized with PSO[J]. Chinese Journal of Scientific Instrument, 2015, 36(1): 152-159. [22] 褚文博, 罗禹贡, 陈龙, 等. 分布式电驱动车辆的无味粒子滤波状态参数联合观测[J]. 机械工程学报, 2013, 49(24): 117-127. Chu Wenbo, Luo Yugong, Chen Long, et al.Vehicle state estimation by unscented particle filter in distributed electric vehicle[J]. Journal of Mechanical Engineering, 2013, 49(24): 117-127.
2018, Vol. 33 
