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Control of an Active Gate Driver for an Electric Vehicle Traction Inverter Using Artificial Neural Networks
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| Author(s) |
Julius WIESEMANN |
| Abstract |
Electric vehicle drivetrains using wide-bandgap semiconductors face challenges regarding EMI and accelerated 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. |
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| Filename: | 0259-epe2022-full-16432769.pdf |
| Filesize: | 2.592 MB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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