Journal of Appliance Science & Technology ›› 2026, Vol. 0 ›› Issue (5): 114-117.doi: 10.19784/j.cnki.issn1672-0172.2025.05.020

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Research on multi-verification method for IPM overcurrent protection based on signal adaptation

LIU Dongzi1,2, CAI Yuanhao1,2, JI Zhenqin1,2   

  1. 1. Guangdong Midea Refrigeration Equipment Co., Ltd. Foshan 528311;
    2. Key Laboratory of Green Design and Manufacturing Technology for Home Appliance Products in Guangdong Province Foshan 528311
  • Online:2025-10-01 Published:2026-02-10

Abstract: As the core component of inverter air conditioner, the performance of intelligent power module (IPM) directly affects the energy efficiency, operation reliability and control accuracy of air conditioner. Monolithic integrated IPM is widely used in inverter air conditioner due to its advantages of ultra-high integration, low parasitic parameters and low switching loss. However, the reliability of domestically produced monolithic integrated IPM is significantly lower than that of overseas mainstream manufacturers. Introducing a detection circuit design method based on signal adaptive control and proposes multiple verification control logic to greatly reduce the probability of false detection caused by overcurrent and overtemperature protection. Experiments show that compared with the general scheme, at ambient temperatures of 25 °C and 75 °C, the filtering time of the overcurrent trigger signal (ITRIP) at the rising edge of the multi-verification circuit is adaptively extended by 14.7% and 41.2% respectively. And compared with the filtering time at 25 ℃, the filtering time delay at non-rising edge and rising edge is 23.2% and 24.1% respectively. This indicate that multi-check circuit solution based on signal adaptation has better filtering ability for interference signals, which can ensure the reliable and stable operation of the inverter air conditioner under all working conditions.

Key words: Intelligent power module, Highly integrated, Overcurrent trigger signal, Multiple testing methods

CLC Number: