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This is a In Vitro Study study.

August 25, 2025VehiclesOpen Access

Accelerating Thermally Safe Operating Area Assessment of Ignition Coils for Hydrogen Engines via AI-Driven Power Loss Estimation

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AI-based framework estimates power losses in ignition coils for hydrogen ICE, suggesting enhanced accuracy and efficiency.

Power losses can be accurately estimated from external temperatures, improving thermal safety assessments for ignition coils.
The hybrid artificial neural network–computer-aided engineering approach shows errors below 3% in temperature predictions, validating its effectiveness.
This analysis leverages AI to streamline thermal evaluations, reducing both experimental efforts and computational resources needed.
The framework supports the development of safe operating areas for ignition coils in hydrogen internal combustion engines.

Ricci et al. (2025) studied this question.

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