Application of Kalman Filter to Estimate Junction Temperature in IGBT Power Modules

Eleffendi, Mohd. Amir; Johnson, C.M.

doi:10.1109/tpel.2015.2418711

Cited by 133 publications

(57 citation statements)

References 24 publications

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“…This is important because the whole process is done to check for degradation in power modules. The structure function [9,10] is used to process these curves. The structure function is used as it provides a comprehensive graphical representation of what is going on in the device.…”

Section: Resultsmentioning

confidence: 99%

“…The state of the art methods to obtain the junction temperature include the integration of NTC resistors [8], on -chip diodes [9] and the use of the thermal sensitive electric parameter (TSEP). Both NTC and on-chip diodes require special consideration during design and manufacturing process to ensure electrical isolation from HV traces on the substrate and require additional external pins and separate copper traces, which might increase manufacturing cost and give rise to new reliability issues [10].…”

Section: Solder Fatiguementioning

confidence: 99%

“…Adaptive models for real-time monitoring have been presented in [10,[22][23][24][25], which compares physical measurement with a model estimate to accurately track the junction temperature of the device under consideration. The limitations of [10,22,23] are that the collector emitter voltage is noisy and intermittent due to the non-linearity of the I-V characteristic of the IGBT, hence this method is dependent on the operating region. [24] requires extending the turn-on time by making modifications to the gate drive in order to measure the temperature online.…”

Section: Solder Fatiguementioning

confidence: 99%

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Prognostic System for Power Modules in Converter Systems Using Structure Function

Aliyu

Castellazzi

2018

IEEE Trans. Power Electron.

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This paper proposes an on-board methodology for monitoring the health of power converter modules in drive systems, using vector control heating and structure function to check for degradation. It puts forward a system that is used on-board to measure the cooling curve and derive the structure function during idle times for maintenance purposes. The structure function is good tool for tracking the magnitude and location of degradation in power modules. The ability to keep regular track of the actual degradation level of the modules enables the adoption of preventive maintenance, reducing or even eliminating altogether the appearance of failures during operation, significantly improving the availability of the power devices. The novelty in this work is the complete system that is used to achieve degradation monitoring; combining the heating technique and the measurement without additional power components except the measurement circuit which can be integrated into the gate drive board and the challenges encountered. Experimental results obtained from this show that it is possible to implement an on-board health monitoring system in converters which measures the degradation on power modules.

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Section: Resultsmentioning

confidence: 99%

Section: Solder Fatiguementioning

confidence: 99%

Section: Solder Fatiguementioning

confidence: 99%

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Prognostic System for Power Modules in Converter Systems Using Structure Function

Aliyu

Castellazzi

2018

IEEE Trans. Power Electron.

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“…The KF is a sequential mathematic-based estimator [20] which is widely used in power electronics applications to estimate state and system parameters in differential equations or state-space model representations. The KF has the ability to remove the effect of measurement noise which may be caused by sensors [5,21,22].…”

Section: B Proposed Kalman Filter Voltage Estimationmentioning

confidence: 99%

Submodule Voltage Estimation Scheme in Modular Multilevel Converters with Reduced Voltage Sensors Based on Kalman Filter Approach

Abushafa¹,

Dahidah

Gadoue

et al. 2018

IEEE Trans. Ind. Electron.

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On the other hand, as with most conventional converters, the MMC has specific control requirements. For instance, the voltage-balancing of the submodule (SM) capacitors in the converter is critical. However, due to the series of cascaded SMs which are used to construct the converter, the reliability of the MMC is an important challenge [5]. In one example of a real application based on the MMC is presented in [6], where hundreds of SMs per leg were used. This also requires a great many voltage sensors in order to achieve the voltage-balancing of the system. This problem has been extensively investigated in recent research [3,7]; but many voltage sensors are always used in such studies. However, it would be preferable if this issue could be resolved with lower cost and complexity.Several proposals have been attempted to minimise the number of voltage and current sensors required. For instance, successful simulation and practical results have been achieved with fewer current sensors [8][9][10]. However, no reductions in voltage sensor number were discussed in those studies. Another attempt based on an open-loop scheme has been suggested, where fixed PWM signals were applied to the converter [11]. Although, this proposed scheme does not use any sensors since it does not require any form of feedback control, the wellknown disadvantages of open-loop control schemes may threaten the performance of the system. In some recent studies, online observers have been introduced to estimate individual SM voltages [12,13]. For example, fewer voltage sensors could be achieved based on a sliding mode where the proposed method merely monitors the total input voltage and arm current of the converter [12]. This technique has been proposed for fault detection scheme. However, variations in SM capacitance were not considered in this study. In an attempt to ameliorate this problem, the estimation of capacitance values for each individual SM was considered in [13]. This improvement provides an important solution against concerning capacitance; however, in all observer-based methods the effect of variations associated with arm inductor values was not included in the design. In very recent research [14,15], the voltage-balancing of a seven-level MMC has been achieved with important reductions in the number of voltage sensors required, where the lowest number of voltage sensors needed is two when sevenlevel MMC is used. Two sensors are contributed to measure total arm voltage of the converter. On the other hand, the main UK

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“…The KF is a mathematical method widely used to estimate unmeasured states using the measured input and output [20]. In this paper, the classical KF recursive algorithm is applied to estimate the set of unknown parameters θ k instead of the states.…”

Section: Kf Configu Ed For Parameter Estimationmentioning

confidence: 99%

Real-Time Parameter Estimation of DC–DC Converters Using a Self-Tuned Kalman Filter

Ahmeid

Armstrong

Gadoue

et al. 2017

IEEE Trans. Power Electron.

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Abstract-To achieve high-performance control of modern dcdc converters, using direct digital design techniques, an accurate discrete model of the converter is necessary. In this paper, a new parametric system identification method, based on a Kalman filter (KF) approach is introduced to estimate the discrete model of a synchronous dc-dc buck converter. To improve the tracking performance of the proposed KF, an adaptive tuning technique is proposed. Unlike many other published schemes, this approach offers the unique advantage of updating the parameter vector coefficients at different rates. The proposed KF estimation technique is experimentally verified using a Texas Instruments TMS320F28335 microcontroller platform and synchronous step-down dc-dc converter. Results demonstrate a robust and reliable real-time estimator. The proposed method can accurately identify the discrete coefficients of the dc-dc converter. This paper also validates the performance of the identification algorithm with time-varying parameters, such as an abrupt load change. The proposed method demonstrates robust estimation with and without an excitation signal, which makes it very well suited for real-time power electronic control applications. Furthermore, the estimator convergence time is significantly shorter compared to many other schemes, such as the classical exponentially weighted recursive least-squares method.

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Application of Kalman Filter to Estimate Junction Temperature in IGBT Power Modules

Cited by 133 publications

References 24 publications

Prognostic System for Power Modules in Converter Systems Using Structure Function

Prognostic System for Power Modules in Converter Systems Using Structure Function

Submodule Voltage Estimation Scheme in Modular Multilevel Converters with Reduced Voltage Sensors Based on Kalman Filter Approach

Real-Time Parameter Estimation of DC–DC Converters Using a Self-Tuned Kalman Filter

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