Joint Fault Diagnosis of IGBT and Current Sensor in LLC Resonant Converter Module Based on Reduced Order Interval
Xi Zha1, Wei Feng1, Xianfeng Zhang1
1Chongqing Academy of Agricultural Sciences, Chongqing 401329, China.
A new fault diagnosis strategy for LLC resonant converters uses a reduced-order interval sliding mode observer to detect and locate faults in switching transistors and current sensors, improving reliability.
Area of Science:
- Electrical Engineering
- Power Electronics
- Control Systems
Background:
- LLC resonant converters are vital for DC charging stations, offering high efficiency and power density.
- Converter stability is critical for electric vehicle performance and reliability.
- Switching transistor or current sensor faults degrade efficiency and output capability.
Purpose of the Study:
- To propose a robust fault diagnosis strategy for LLC resonant converters.
- To enhance the reliability and performance of DC charging systems.
- To accurately detect, differentiate, and localize various faults.
Main Methods:
- Developed an augmented generalized system to represent LLC resonant converters.
- Utilized matrix transformations to decouple faults.
- Designed a reduced-order interval sliding mode observer for current estimation and fault detection.
- Introduced an adaptive threshold diagnostic algorithm.
Main Results:
- Successfully converted current sensor faults into generalized state vectors.
- Accurately estimated phase currents and detected current sensor faults.
- Effectively differentiated between current sensor and open switch faults.
- Localized faulty power switches and estimated current sensor fault types.
Conclusions:
- The proposed fault diagnosis strategy enhances LLC resonant converter reliability.
- The method accurately identifies and localizes various faults, crucial for DC charging systems.
- Experimental validation confirms the strategy's effectiveness and practical applicability.
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