Hu, Borui (Beijing Institute of Technology), Huang, Ying (Beijing Institute of Technology), Zhang, Fujun (Beijing Institute of Technology), Liang, Siqiang (Beijing Institute of Technology)

Online Calibration Algorithm for Fuel Injection MAP of Unit-Pump Diesel Engine Based on Mesh Adaptive Bayesian Optimization

Scheduled for presentation during the Regular session "Fault Diagnosis and Simulaton Technoqies " (ThA1), Thursday, October 31, 2024, 11:50−12:10, Room T1

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Abstract

To expedite the development cycle of the engine control system and address the challenges posed by multi-objective and non-convex optimization problems during the calibration process, this paper introduces a mesh adaptive Bayesian optimization algorithm for online calibration. Specifically, for the calibration of the fuel injection MAP in a torque-based unit-pump diesel engine's fuel injection control strategy, the influence of convergence criterion hyperparameters is analyzed and optimized. Ultimately, the hyperparameters with a mesh size tolerance of 0.5 and a minimum improvement threshold of 0.001 in the objective function are selected for the fuel injection MAP online calibration simulation. The outcomes demonstrate that this algorithm facilitates rapid and automated online calibration of the fuel injection MAP in unit-pump diesel engines, significantly enhancing the efficiency and accuracy of the calibration process.