Loss Model and Efficiency Analysis of Tram Auxiliary Converter Based on a SiC Device

Líu, Hao; Huang, Xianjin; Lin, Fei; Yang, Zhe

doi:10.3390/en10122018

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Precise determination of the losses in the above components requires in-depth knowledge of the valve control process. In engineering practice, inverter power component losses are described in a simplified manner, most usually with [32,33] formulas:…”

Section: Methodsmentioning

confidence: 99%

Quick Electrical Drive Selection Method for Bus Retrofitting

Kozłowski

Czerepicki

2023

Sustainability

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The article concerns the issue of retrofitting (i.e., the conversion of worn-out diesel buses into electric buses). As this solution is often cheaper than purchasing new electric buses, it can be attractive for low-population areas with a weaker economic infrastructure. The article aims to present an original method for rapidly selecting components for the electric traction system, such as the electric motor, inverter, and transmission systems, combined with a battery installed in a drawer. The battery swapping solution is dedicated to regions with underdeveloped power infrastructure that does not allow for fast charging of bus batteries using pantographs. A mathematical model in the form of a polynomial was developed to estimate the energy losses for a given route. This model consists of a bus physics model, an energy loss model in the propulsion system, and a battery model. The weight coefficients of the polynomials were determined based on an analytical analysis of the model dependencies. The obtained models were reduced using the Lasso regularization method in linear regression. The input data for the model includes route characteristics (or driving cycle) and technical characteristics of the traction system components. The model output provides a detailed profile of electric energy consumption and peak values of the drive system characteristics (e.g., maximum torque of the motor) which must not be exceeded. Implemented as computer software, the model—combined with a database of motors, inverters, drive transmission systems, and batteries—allows for a quick calculation of the possibilities of applying a selected configuration to cover a given route. The approach proposed in the article enables the rapid composition of electric traction devices based on required driving conditions during the initial vehicle prototyping stage. At the same time, it allows the state of the bus battery to be monitored and estimates the remaining range during the operation of upgraded buses.

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Section: Methodsmentioning

confidence: 99%

Quick Electrical Drive Selection Method for Bus Retrofitting

Kozłowski

Czerepicki

2023

Sustainability

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“…The simulations of PE circuits are commonly based on modeling power semiconductor devices using a switch model with look-up tables describing the switching and conduction energy losses [14][15][16]. This guarantees fast simulations of power converters with a high number of power semiconductor devices, but lacks in accurate modeling of the respective switching transients.…”

Section: The State-of-the-art Device-circuit Layout Coupled Modelingmentioning

confidence: 99%

Broadband Circuit-Oriented Electromagnetic Modeling for Power Electronics: 3-D PEEC Solver vs. RLCG-Solver

Kovacevic-Badstuebner

Romano

Antonini

et al. 2021

Energies

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Broadband electromagnetic (EM) modeling increases in importance for virtual prototyping of advanced power electronics systems (PES), enabling a more accurate prediction of fast switching converter operation and its impact on energy conversion efficiency and EM interference. With the aim to predict and reduce an adverse impact of parasitics on the dynamic performance of fast switching power semiconductor devices, the circuit-oriented EM modeling based on the extraction of equivalent lumped R-L-C-G circuits is frequently selected over the Finite Element Method (FEM)-based EM modeling, mainly due to its lower computational complexity. With requirements for more accurate virtual prototyping of fast-switching PES, the modeling accuracy of the equivalent-RLCG-circuit-based EM modeling has to be re-evaluated. In the literature, the equivalent-RLCG-circuit-based EM techniques are frequently misinterpreted as the quasi-static (QS) 3-D Partial Element Equivalent Circuit (PEEC) method, and the observed inaccuracies of modeling HF effects are attributed to the QS field assumption. This paper presents a comprehensive analysis on the differences between the QS 3-D PEEC-based and the equivalent-RLCG-circuit-based EM modeling for simulating the dynamics of fast switching power devices. Using two modeling examples of fast switching power MOSFETs, a 3-D PEEC solver developed in-house and the well-known equivalent-RLCG-circuit-based EM modeling tool, ANSYS Q3D, are compared to the full-wave 3-D FEM-based EM tool, ANSYS HFSS. It is shown that the QS 3-D PEEC method can model the fast switching transients more accurately than Q3D. Accordingly, the accuracy of equivalent-RLCG-circuit-based modeling approaches in the HF range is rather related to the approximations made on modeling electric-field induced effects than to the QS field assumption.

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“…This kind of transistor represents one of the major sources of power losses and heating in such applications often requiring a proper cooling system to be integrated into the static converter. According to the tendency of higher switching frequencies of such converters, device switching losses need to be very well modelled in order to achieve a good quality design [6].…”

Section: Introductionmentioning

confidence: 99%