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%.
孙权, 王友仁, 姜媛媛, 邵力为. 变温度下Boost变换器健康状态评估方法[J]. 电工技术学报, 2018, 33(6): 1364-1373.
Sun Quan, Wang Youren, Jiang Yuanyuan, Shao Liwei. A Novel Approach of Health Condition Assessment for Boost Converters under Variable Temperature Conditions. Transactions of China Electrotechnical Society, 2018, 33(6): 1364-1373.
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2018, Vol. 33 
