Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks

Julius Wiesemann; Jacob Dumtzlaff; Axel Mertens

Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks

Julius Wiesemann^*
, Jacob Dumtzlaff
, Axel Mertens

^*Corresponding author for this work

Institute of Drive Systems and Power Electronics

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Abstract

Electric vehicle drivetrains using wide-bandgap semiconductors face challenges regarding EMI and ac-celerated machine aging due to the fast switching transients. This paper presents a method of controlling a variable-resistance active gate driver with the help of a neural network in order to reduce the drawbacks of fast switching while increasing efficiency. Measurements covering the whole MOSFET operating range and a sinusoidal inverter output current prove that the proposed method effectively reduces losses while also reducing switching speed and, in this way, reduces EMI issues and machine damage.

Original language	English
Title of host publication	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	10
ISBN (Electronic)	9789075815399
ISBN (Print)	978-1-6654-8700-9
Publication status	Published - 2022
Event	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe - Hanover, Germany Duration: 5 Sept 2022 → 9 Sept 2022

Conference

Conference	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Country/Territory	Germany
City	Hanover
Period	5 Sept 2022 → 9 Sept 2022

Keywords

EMC/EMI
Neural network
Power converters for EV
Silicon Carbide (SiC)
Smart Gate Drivers

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

https://ieeexplore.ieee.org/document/9907450

Cite this

@inproceedings{1c7776e396ca4716b599d82c204820db,

title = "Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks",

abstract = "Electric vehicle drivetrains using wide-bandgap semiconductors face challenges regarding EMI and ac-celerated machine aging due to the fast switching transients. This paper presents a method of controlling a variable-resistance active gate driver with the help of a neural network in order to reduce the drawbacks of fast switching while increasing efficiency. Measurements covering the whole MOSFET operating range and a sinusoidal inverter output current prove that the proposed method effectively reduces losses while also reducing switching speed and, in this way, reduces EMI issues and machine damage.",

keywords = "EMC/EMI, Neural network, Power converters for EV, Silicon Carbide (SiC), Smart Gate Drivers",

author = "Julius Wiesemann and Jacob Dumtzlaff and Axel Mertens",

year = "2022",

language = "English",

isbn = "978-1-6654-8700-9",

booktitle = "24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe ; Conference date: 05-09-2022 Through 09-09-2022",

}

Wiesemann, J, Dumtzlaff, J & Mertens, A 2022, Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks. in 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe. Institute of Electrical and Electronics Engineers Inc., 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe, Hanover, Germany, 5 Sept 2022. <https://ieeexplore.ieee.org/document/9907450>

Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks. / Wiesemann, Julius; Dumtzlaff, Jacob; Mertens, Axel.
24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe. Institute of Electrical and Electronics Engineers Inc., 2022.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks

AU - Wiesemann, Julius

AU - Dumtzlaff, Jacob

AU - Mertens, Axel

PY - 2022

Y1 - 2022

N2 - Electric vehicle drivetrains using wide-bandgap semiconductors face challenges regarding EMI and ac-celerated machine aging due to the fast switching transients. This paper presents a method of controlling a variable-resistance active gate driver with the help of a neural network in order to reduce the drawbacks of fast switching while increasing efficiency. Measurements covering the whole MOSFET operating range and a sinusoidal inverter output current prove that the proposed method effectively reduces losses while also reducing switching speed and, in this way, reduces EMI issues and machine damage.

AB - Electric vehicle drivetrains using wide-bandgap semiconductors face challenges regarding EMI and ac-celerated machine aging due to the fast switching transients. This paper presents a method of controlling a variable-resistance active gate driver with the help of a neural network in order to reduce the drawbacks of fast switching while increasing efficiency. Measurements covering the whole MOSFET operating range and a sinusoidal inverter output current prove that the proposed method effectively reduces losses while also reducing switching speed and, in this way, reduces EMI issues and machine damage.

KW - EMC/EMI

KW - Neural network

KW - Power converters for EV

KW - Silicon Carbide (SiC)

KW - Smart Gate Drivers

UR - https://www.scopus.com/pages/publications/85141559407

M3 - Conference contribution

AN - SCOPUS:85141559407

SN - 978-1-6654-8700-9

BT - 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe

Y2 - 5 September 2022 through 9 September 2022

ER -

Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this