本文選題：IGBT功率模塊　切入點：實時溫度監(jiān)測　出處：《河北工業(yè)大學》2015年碩士論文

【摘要】：解決清潔能源的開發(fā)與利用是我國現(xiàn)今面臨的綜合性戰(zhàn)略問題,涉及到了經(jīng)濟、環(huán)境、能源等諸多領域,然而這一戰(zhàn)略的落實和規(guī)模發(fā)展受到新能源發(fā)電系統(tǒng)可靠性低的制約。隨著功率器件在新能源發(fā)電中的廣泛應用,由于風、光、潮汐等的不穩(wěn)定性使發(fā)電功率波動十分劇烈,從而致使功率模塊受到持續(xù)不斷的熱力沖擊,加速了功率模塊的失效進程,成為影響新能源發(fā)電系統(tǒng)可靠性的關鍵因素之一,因此,尋找并構建能準確預測功率模塊剩余壽命的模型是確保新能源發(fā)電系統(tǒng)穩(wěn)定持續(xù)運行的基礎。目前相關功率模塊在由于熱沖擊所引起的衰退性及器件可靠性研究較少,對功率模塊失效進程了解模糊,不能準確理解與把握相關模塊的失效特征方式;更多的壽命預測的研究局限于可能損壞的預警,不能在實際工況下做出準確預測。因此,圍繞風力、光伏等發(fā)電中常用功率模塊IGBT的在線壽命預測,論文的主要工作如下:(1)研究并總結了引發(fā)IGBT失效的因素。主要可分為三種:由于內(nèi)部結構缺陷和制造工藝引發(fā)的潛在失效;外部應力對其造成內(nèi)部疲勞損傷積累失效;電路其他外部運行環(huán)境對其造成的失效。在此基礎上,闡述了不斷累積的熱沖擊使IGBT功率模塊內(nèi)部不同材料結構間逐漸發(fā)生變化并導致失效的過程。(2)提出并構建了基于實時監(jiān)測IGBT功率模塊溫度的剩余壽命預測模型。深入分析現(xiàn)有的IGBT功率模塊溫度的模擬及探測方法,發(fā)現(xiàn)其只能向控制系統(tǒng)發(fā)出警告,并不能判斷模塊是否真正損壞,更不能由此推測模塊的剩余壽命。針對上述問題,論文提出了一種新的預測方法,該方法基于實時監(jiān)測IGBT功率模塊溫度,將模塊總壽命和即時溫度量化,通過累積運行過程中模塊的損傷來實現(xiàn)實時監(jiān)測IGBT功率模塊壽命的變化,進而預測模塊剩余壽命。(3)搭建模擬實際工況的測溫閉環(huán)系統(tǒng)為壽命預測模型提供真實可靠數(shù)據(jù),并運用云模型解決IGBT功率模塊壽命的隨機性與模糊性。從實際運行工況著手,采用CM100DY-24NF型IGBT功率模塊,搭建測溫閉環(huán)系統(tǒng),控制IGBT功率模塊的進行可靠性老化試驗,實驗模擬了模塊幾種工作狀態(tài)下溫度的動態(tài)波形,探究了兩種溫度變化下模塊的不同工作條件下的可能原因,并提出將云模型引入可靠性分析中,與傳統(tǒng)可靠性相比,云模型是定性定量相互轉換的工具,把具有隨機性和模糊性特征的性能參數(shù)序列的分布特征用參數(shù)可變的分布函數(shù)定量表達,從理論上提高了參數(shù)估計結果的合理性。論文在引起IGBT功率模塊失效機理上進行了探究,并構建了基于實時監(jiān)測溫度的壽命預測模型,為新能源發(fā)電裝置中關鍵性器件的在線壽命預測打下了一定基礎。
[Abstract]:The solution to the development and utilization of clean energy is a comprehensive strategic problem facing our country nowadays, which involves many fields, such as economy, environment, energy and so on. However, the implementation and scale development of this strategy is restricted by the low reliability of the new energy generation system. With the wide application of power devices in the new energy generation, due to the instability of wind, light, tide and so on, the power fluctuation of power generation is very severe. As a result, the power module is subjected to continuous thermal shock, which accelerates the failure process of the power module and becomes one of the key factors affecting the reliability of the new energy generation system. To find and build a model that can accurately predict the residual life of power modules is the basis to ensure the stable and continuous operation of new energy generation systems. At present, there are few researches on the degradation and device reliability of power modules due to thermal shock. Understanding of the failure process of power module is fuzzy, and the failure characteristics of relevant modules can not be understood and grasped accurately. More research on life prediction is limited to the early warning of possible damage and can not be accurately predicted under actual working conditions. The online life prediction of IGBT, a power module commonly used in wind power generation and photovoltaic generation, The main work of this paper is as follows: (1) study and summarize the factors that cause IGBT failure. It can be divided into three types: internal structure defect and potential failure caused by manufacturing process, internal fatigue damage accumulation failure caused by external stress, and internal fatigue damage accumulation failure caused by external stress. Failure caused by other external operating environments of the circuit. On this basis, In this paper, the cumulative thermal shock causes the gradual change of different materials and structures in the IGBT power module and leads to the failure process. (2) the residual life prediction model based on real-time monitoring the temperature of the IGBT power module is proposed and constructed. Deep analysis of the existing IGBT power module temperature simulation and detection methods, It is found that it can only give warning to the control system and can not judge whether the module is really damaged or not, let alone predict the remaining life of the module. In view of the above problems, a new prediction method is proposed in this paper. This method is based on real-time monitoring the temperature of IGBT power module, quantifies the total life and instant temperature of the module, and realizes the real-time monitoring of the change of the life of the IGBT power module by accumulating the damage of the module in the running process. Furthermore, the residual life of the prediction module is predicted. (3) the closed-loop system of temperature measurement is set up to simulate the actual working conditions. It provides the true and reliable data for the life prediction model, and solves the randomness and fuzziness of the life of the IGBT power module by using the cloud model. The closed loop system of temperature measurement is built by using CM100DY-24NF type IGBT power module, and the reliability aging test of IGBT power module is controlled. The dynamic waveform of temperature in several working states of the module is simulated experimentally. This paper probes into the possible reasons for the different working conditions of the modules under two kinds of temperature changes, and proposes to introduce the cloud model into the reliability analysis. Compared with the traditional reliability, the cloud model is a tool for qualitative and quantitative interconversion. The distribution characteristics of performance parameter sequences with randomness and fuzziness are expressed quantitatively by the variable parameter distribution function. The rationality of the parameter estimation results is improved theoretically. The mechanism of IGBT power module failure is explored, and the life prediction model based on real-time temperature monitoring is constructed. It lays a foundation for on-line life prediction of key devices in new energy generation plants.
【學位授予單位】：河北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN322.8

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相關期刊論文 前1條

1 陳明;胡安;;IGBT結溫模擬和探測方法比對研究[J];電機與控制學報;2011年12期

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本文編號：1681381