Optimal Design of 100-2000 V 4H-SiC Power MOSFETs Using Multi-Objective Particle Swarm Optimization Algorithms

This work employed the particle swarm optimization (PSO) algorithm to assess the trade-off between breakdown voltage (BV) and on-state resistance (<inline-formula> <tex-math notation="LaTeX">\text{R}_{\textit {DS},\textit {on}}{)} </tex-math></inline-formula> in 4H-...

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Bibliographic Details
Published in:IEEE electron device letters Vol. 45; no. 5; pp. 786 - 788
Main Authors: Luo, Runding, Sun, Botao, Hou, Xinlan, Shi, Wenhua, Zhang, Guoqi, Fan, Jiajie
Format: Journal Article
Language:English
Published: New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Design parameters
Doping
Electronic devices
Field effect transistors
JFET
JFETs
Metal oxide semiconductors
Metal oxides
MOSFET
MOSFETs
multi-objective optimization
Multiple objective analysis
Numerical models
Optimization
Particle swarm optimization
Resistance
Semiconductor devices
SiC
Silicon carbide
Thickness
Threshold voltage
Transistors
ISSN:0741-3106, 1558-0563
Online Access:Get full text
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Summary:This work employed the particle swarm optimization (PSO) algorithm to assess the trade-off between breakdown voltage (BV) and on-state resistance (<inline-formula> <tex-math notation="LaTeX">\text{R}_{\textit {DS},\textit {on}}{)} </tex-math></inline-formula> in 4H-SiC metal oxide semiconductor field effect transistors (MOSFET) for power devices. In this work, the numerical model obtained after analyzing the resistance composition is utilized as the objective function in PSO to determine characteristic parameters in double-diffused metal oxide semiconductor field effect transistors (DMOSFET). These equations are input for the PSO algorithm. The derived characteristic parameters include the drift region doping concentration and thickness, cell size, channel length, JFET region length, JFET region thickness, and doping concentration. To adhere to common application constraints, this work optimizes these characteristic parameters to minimize the <inline-formula> <tex-math notation="LaTeX">\text{R}_{\textit {DS},\textit {on}} </tex-math></inline-formula> under typical BV ranging from 100 to 2000 V. The <inline-formula> <tex-math notation="LaTeX">\text{R}_{\textit {DS},\textit {on}} </tex-math></inline-formula> for some typical applications was extracted and validated through TCAD simulations to ensure algorithm accuracy. The reported results confirm that PSO yields superior outcomes and may be considered when designing devices. This work offers helpful insights into the design of characteristic parameters for 4H-SiC power DMOSFET devices and evaluates the feasibility of using PSO to optimize the characteristic parameters of power devices.
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ISSN:0741-3106
1558-0563
DOI:10.1109/LED.2024.3382004