Experimental Characterization and Electro-Thermal Modeling of Double Side Cooled SiC MOSFETs for Accurate and Rapid Power Converter Simulations

Abstract

The paper presents a precise and efficient model of Double-Side Cooled (DSC) SiC MOSFET, which incorporates the dynamics of both electrical and thermal variables. It offers a suitable computational complexity for simulating transients in complex power converters. The objective is to define a model that enables multi-scale time simulations and facilitates rapid power converter design in system-level tools such as Simulink. Additionally, the model aims to achieve simulation accuracy comparable to device-level models for the next generation of SiC MOSFETs. The paper demonstrates the complete test bench measurement procedure for the device. This procedure is essential for experimentally extrapolating the intrinsic characteristics and developing a model-reduction approach based on electro-thermal modeling. The approach strikes a balance between computational complexity and level of detail. The proposed model has been seamlessly integrated into Simulink to simulate a 3-phase inverter for several grid cycles at the grid frequency. To evaluate the model's validity, the predicted inverter performance is compared with experimental measurements. These simulations require significantly less time compared to those based on LTspice models.INDEX TERMS Model-based design, multi-scale, simulation, power measures, power converters, silicon carbide (SiC).

Review on Modeling and SOC/SOH Estimation of Batteries for Automotive Applications

“…To represent even this degree of detail, circuit components for which the fundamental V-I relationship is integral-differential must be included in the circuit and, in particular, through parallel RC branches as, for example, shown in Figure 5, which is called the RC-Thevenin model [131,132]. In this case, the dynamic electric equilibrium is represented by the set of algebraicdifferential equations shown in Equation (5).…”

“…Detailed simulation of dynamic behaviors provides a solid foundation for the development of highly efficient control and monitoring systems. This methodology makes it possible to optimize control algorithms, improve monitoring accuracy, and ensure rapid and reliable responses to changes in operating conditions [5][6][7][8]. The integration of mathematical models is synonymous with technological innovation.…”

Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving the Performance of Proton-Exchange Membrane Fuel Cells

“…Accurately modeling and controlling the temperature of power devices used in inverters can help improve their performance and reduce their susceptibility to damage. Hence, it is evident that the literature has presented real-time temperature control models [15,16].…”

Modeling and Control Simulation of Power Converters in Automotive Applications

“…In other works, the authors show how to use MBD and simulation environments massively, to compensate for the lack of experimental data and address battery health estimation problems. 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].…”