MPSoC-Based Dynamic Adjustable Time-Stepping Scheme With Switch Event Oversampling Technique for Real-Time HIL Simulation of Power Converters

Zheng, Jialin; Zeng, Yangbin; Zhao, Zhengming; Liu, Weicheng; Xu, Han; Wang, Haoyu; Mou, Di

doi:10.1109/tte.2023.3310509

Cited by 3 publications

(3 citation statements)

References 37 publications

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“…The coefficients A, δ and E a are calculated from Equations ( 21) and (22). Applying the natural logarithm, these exponential functions ( 21) and ( 22) can be expressed in linear forms.…”

Section: Lifetime Analytical Modelmentioning

confidence: 99%

“…Generally, a MOSFET is considered an ideal switch in fast simulation in order to analyze the efficiency and reliability of power electronic systems, as in [18][19][20][21][22]. On the other hand, it is difficult to calculate the MOSFET's power losses (which include the conduction, switching losses, diode conduction and reverse recovery losses [23]) and to take into account the effect of the junction temperature on the device parameters.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Chaos on MOSFET Thermal Stress and Lifetime

Morel,

Morel

2024

Electronics

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The reliability of power electronic switching components is of great concern for many researchers. For their usage in many mission profiles, it is crucial for them to perform for the duration of their intended lifetime; however, they can fail because of thermal stress. Thus, it is essential to analyze their thermal performance. Non-linear switching action, bifurcation and chaotic events may occur in DC-DC power converters. Consequently, they show different behaviors when their parameters change. However, this is an opportunity to study these bifurcation phenomena and the existence of chaos, e.g., in boost converters, on their performance as the effects of load variations (mission profiles) on the system’s behavior. These variations generate many non-linear phenomena such as periodic behavior, repeated period-doubling bifurcations and chaos in the MOSFET drain-source current. Thus, we propose, for the first time, an analysis of the influence of chaos on the junction temperature. First of all, this paper provides a step-by-step procedure to establish an electrothermal model of a C2M0080120D MOSFET with integrated power loss. Then, the junction temperature is estimated by computing the power losses and a thermal impedance model of the switch. Additionally, this model is used to investigate the bifurcation and chaotic behavior of the MOSFET junction temperature. The paper contributes by providing a mathematical model to calculate several coefficients based on experimental data and thermal oscillations. Estimation of the number of cycles to failure is given by the Coffin–Manson equation, while temperature cycles are counted using the rainflow counting algorithm. Further, the accumulated damage results are calculated using the Miner’s model. Finally, a comparison is made between the damage accumulated during different mission profiles: significant degradation of the MOSFET’s lifetime is pointed out for chaotic currents compared to periodic ones.

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“…The coefficients A, δ and E a are calculated from Equations ( 21) and (22). Applying the natural logarithm, these exponential functions ( 21) and ( 22) can be expressed in linear forms.…”

Section: Lifetime Analytical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Chaos on MOSFET Thermal Stress and Lifetime

Morel,

Morel

2024

Electronics

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“…Works such as [27] show how simulations can create scalable models of SiC/GaN devices not yet on the market, combining experimental characterization measurements of such devices with complex and scalable models, to be integrated into more complex electronic systems. Essentially, the use of mathematical models and simulations in power electronic converter designs for automotive applications helps to ensure the highest level of user and vehicle safety while also improving product performance and reducing development costs [28][29][30][31]. During these advancements, the growing significance of accurately modeling and simulating complex systems has become evident.…”

Section: Introduction 1motivationsmentioning

confidence: 99%

Modeling and Control Simulation of Power Converters in Automotive Applications

Dini,

Saponara

2024

Applied Sciences

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This research introduces a model-based approach for the analysis and control of an onboard charger (OBC) system for contemporary electrified vehicles. The primary objective is to integrate the modeling of SiC/GaN MOSFETs electrothermal behaviors into a unified simulation framework. The motivation behind this project stems from the fact that existing literature often relies on finite element method (FEM) software to examine thermal dynamics, necessitating the development of complex models through partial derivative equations. Such intricate models are computationally demanding, making it difficult to integrate them with circuit equations in the same virtual environment. As a result, lengthy wait periods and a lack of communication between the electrothermal models limit the thorough study that can be conducted during the design stage. The selected case study for examination is a modular 1ϕ (single phase) onboard computer (OBC). This system comprises a dual active bridge (DAB) type DC/DC converter, which is positioned after a totem pole power factor correction (PFC) AC/DC converter. Specifically, the focus is directed toward a 7 kW onboard computer (OBC) utilizing high-voltage SiC/GaN MOSFETs to ensure optimal efficiency and performance. A systematic approach is presented for the assessment and selection of electronic components, employing circuit models for the totem pole power factor correction (PFC) and dual active bridge (DAB) converter. These models are employed in simulations closely mimicking real-world scenarios. Furthermore, rigorous testing of the generated models is conducted across a spectrum of real-world operating conditions to validate the stability of the implemented control algorithms. The validation process is bolstered by a comprehensive exploration of parametric variations relative to the nominal case. Notably, each simulation adheres to the recommended operational limits of the selected components and devices. Detailed data sheets encompassing electrothermal properties are provided for contextual reference.

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Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Zheng,

Che,

et al. 2024

Progress in Energy and Combustion Science

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MPSoC-Based Dynamic Adjustable Time-Stepping Scheme With Switch Event Oversampling Technique for Real-Time HIL Simulation of Power Converters

Cited by 3 publications

References 37 publications

Impact of Chaos on MOSFET Thermal Stress and Lifetime

Impact of Chaos on MOSFET Thermal Stress and Lifetime

Modeling and Control Simulation of Power Converters in Automotive Applications

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

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