https://www.researchgate.net/figure/Schematic-of-the-air-intake-and-exhaust-system-of-the-engine_fig2_242175997
https://www.linkedin.com/pulse/electronic-control-unit-ecu-vijay-tharad
https://linkecu.com/getting-started/start-up-maps/
eSTORM: Enhanced Self Tuning On-board Real-time Engine Model
Hybrid Modeling Approach: Combines physics-based and empirical modeling methodologies to create a robust engine performance model for real-time diagnostics and prognostics.
Real-time Performance Tracking: Utilizes integrated sensor data to monitor and track changes in engine module performance on-board, enabling immediate adjustments.
Fault Detection and Accommodation: Employs the hybrid model to synthesize engine parameters, enhancing the system’s ability to detect and accommodate faults during operation.
Technology Age: eSTORM's 2003-based technology may not match current advances in machine learning and sensors.
Engine Specificity: Designed for aircraft turbofan engines, eSTORM's methods may not directly transfer to the varied engines in today's vehicles.
Complexity and Cost: The sophisticated and costly nature of eSTORM may be impractical for the simpler, cost-sensitive engines in modern automobiles.