Optimal Design of 100–2000 V 4H–SiC Power MOSFETs using Multi-objective Particle Swarm Optimization Algorithms

Optimal Design of 100–2000 V 4H–SiC Power MOSFETs using Multi-objective Particle Swarm Optimization Algorithms

Luo, Runding (Fudan University)
Sun, Botao (Fudan University)
Hou, Xinlan (Fudan University)
Shi, Wenhua (Fudan University)
Zhang, Kouchi (TU Delft Electronic Components, Technology and Materials)
Fan, Jiajie (Fudan University)

2024

This work employed the particle swarm optimization (PSO) algorithm to assess the trade-off between breakdown voltage (BV) and on-state resistance (R DS,on ) 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 R DS,on under typical BV ranging from 100 to 2000 V. The R DS,on 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.

SiC
MOSFETs
Multi-objective Optimization,
Particle Swarm Optimization

http://resolver.tudelft.nl/uuid:3e7d44fb-0c66-4ca2-bedc-c3f64f0792a0

https://doi.org/10.1109/LED.2024.3382004

2024-10-25

0741-3106

IEEE Electron Device Letters, 45 (5), 786-788

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2024 Runding Luo, Botao Sun, Xinlan Hou, Wenhua Shi, Kouchi Zhang, Jiajie Fan