To address the issues of high-frequency electromagnetic noise and electromagnetic compatibility (EMC) challenges faced by silicon carbide (SiC) controllers for new energy vehicles under high-frequency switching conditions, this paper proposes a spread spectrum-ripple prediction collaborative optimization PWM strategy. By accurately predicting the peak value of current ripple, adjusting the switching frequency in real time, and combining with spread spectrum modulation technology, this strategy achieves uniform dispersion of harmonic energy, reduces the harmonic amplitude in specific frequency bands, and thereby suppresses electromagnetic interference (EMI). Compared with the traditional random PWM frequency conversion strategy, this collaborative optimization strategy can more effectively reduce high-frequency harmonic components and improve the electromagnetic compatibility of motor drive systems.

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Cooperative PWM Strategy with Adaptive Spread Spectrum Based on Current Ripple Prediction for Vehicle-Mounted SiC Controllers

  • Zhou Siqi,
  • Guo Xinhua,
  • Li Xiaodong,
  • Wang Rongkun,
  • Liang Yiqing,
  • Guo Pengqian,
  • Li Xiuwan

摘要

To address the issues of high-frequency electromagnetic noise and electromagnetic compatibility (EMC) challenges faced by silicon carbide (SiC) controllers for new energy vehicles under high-frequency switching conditions, this paper proposes a spread spectrum-ripple prediction collaborative optimization PWM strategy. By accurately predicting the peak value of current ripple, adjusting the switching frequency in real time, and combining with spread spectrum modulation technology, this strategy achieves uniform dispersion of harmonic energy, reduces the harmonic amplitude in specific frequency bands, and thereby suppresses electromagnetic interference (EMI). Compared with the traditional random PWM frequency conversion strategy, this collaborative optimization strategy can more effectively reduce high-frequency harmonic components and improve the electromagnetic compatibility of motor drive systems.