Paul
Bradford

ASPIRE REU Reliability analysis framework for EV fast chargers

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Authors:

Paul Bradford

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About Paper:

Electric Vehicle (EV) charging is a critical aspect of EV adoption. The unreliability of EV chargers in recent years, as EV popularity grows rapidly, has been a major pain point. Designing reliable EV chargers requires accurate models for reliability prediction. Current EV charger design focuses less on reliability and more on improving power converter performance through metrics such as efficiency, power factor, and THD. This research sought a mission-profile-based reliability analysis for a power converter topology that could reasonably be used in an EV fast-charging station. This reliability analysis allows for the consideration of reliability when designing EV chargers. Appropriate lifetime models from the literature were determined to measure the lifetime of vulnerable power electronics components. These lifetime models are then used to create a framework for reliability analysis in EV chargers that utilizes typical EV charger usage data to predict charger lifetime. The framework will allow for prediction of charger failure rate, mean time to failure (MTTF) and other related reliability metrics based on different converter topologies and devices.

Source:

Purdue University / 2023

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Co-authors:

Paul Bradford

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