發(fā)布時(shí)間：2018-03-29 13:44

  本文選題：IGBT功率模塊　切入點(diǎn)：實(shí)時(shí)溫度監(jiān)測(cè)　出處：《河北工業(yè)大學(xué)》2015年碩士論文

【摘要】：解決清潔能源的開(kāi)發(fā)與利用是我國(guó)現(xiàn)今面臨的綜合性戰(zhàn)略問(wèn)題,涉及到了經(jīng)濟(jì)、環(huán)境、能源等諸多領(lǐng)域,然而這一戰(zhàn)略的落實(shí)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(yīng)用,由于風(fēng)、光、潮汐等的不穩(wěn)定性使發(fā)電功率波動(dòng)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(jìn)程,成為影響新能源發(fā)電系統(tǒng)可靠性的關(guān)鍵因素之一,因此,尋找并構(gòu)建能準(zhǔn)確預(yù)測(cè)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(yùn)行的基礎(chǔ)。目前相關(guān)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(duì)功率模塊失效進(jìn)程了解模糊,不能準(zhǔn)確理解與把握相關(guān)模塊的失效特征方式;更多的壽命預(yù)測(cè)的研究局限于可能損壞的預(yù)警,不能在實(shí)際工況下做出準(zhǔn)確預(yù)測(cè)。因此,圍繞風(fēng)力、光伏等發(fā)電中常用功率模塊IGBT的在線壽命預(yù)測(cè),論文的主要工作如下:(1)研究并總結(jié)了引發(fā)IGBT失效的因素。主要可分為三種:由于內(nèi)部結(jié)構(gòu)缺陷和制造工藝引發(fā)的潛在失效;外部應(yīng)力對(duì)其造成內(nèi)部疲勞損傷積累失效;電路其他外部運(yùn)行環(huán)境對(duì)其造成的失效。在此基礎(chǔ)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(jié)構(gòu)間逐漸發(fā)生變化并導(dǎo)致失效的過(guò)程。(2)提出并構(gòu)建了基于實(shí)時(shí)監(jiān)測(cè)IGBT功率模塊溫度的剩余壽命預(yù)測(cè)模型。深入分析現(xiàn)有的IGBT功率模塊溫度的模擬及探測(cè)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(cè)模塊的剩余壽命。針對(duì)上述問(wèn)題,論文提出了一種新的預(yù)測(cè)方法,該方法基于實(shí)時(shí)監(jiān)測(cè)IGBT功率模塊溫度,將模塊總壽命和即時(shí)溫度量化,通過(guò)累積運(yùn)行過(guò)程中模塊的損傷來(lái)實(shí)現(xiàn)實(shí)時(shí)監(jiān)測(cè)IGBT功率模塊壽命的變化,進(jìn)而預(yù)測(cè)模塊剩余壽命。(3)搭建模擬實(shí)際工況的測(cè)溫閉環(huán)系統(tǒng)為壽命預(yù)測(cè)模型提供真實(shí)可靠數(shù)據(jù),并運(yùn)用云模型解決IGBT功率模塊壽命的隨機(jī)性與模糊性。從實(shí)際運(yùn)行工況著手,采用CM100DY-24NF型IGBT功率模塊,搭建測(cè)溫閉環(huán)系統(tǒng),控制IGBT功率模塊的進(jìn)行可靠性老化試驗(yàn),實(shí)驗(yàn)?zāi)M了模塊幾種工作狀態(tài)下溫度的動(dòng)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(zhuǎn)換的工具,把具有隨機(jī)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(dá),從理論上提高了參數(shù)估計(jì)結(jié)果的合理性。論文在引起IGBT功率模塊失效機(jī)理上進(jìn)行了探究,并構(gòu)建了基于實(shí)時(shí)監(jiān)測(cè)溫度的壽命預(yù)測(cè)模型,為新能源發(fā)電裝置中關(guān)鍵性器件的在線壽命預(yù)測(cè)打下了一定基礎(chǔ)。
[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(xué)位授予單位】：河北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN322.8

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 陳明;胡安;;IGBT結(jié)溫模擬和探測(cè)方法比對(duì)研究[J];電機(jī)與控制學(xué)報(bào);2011年12期

，

本文編號(hào)：1681381