Online Calibration Algorithm for Fuel Injection MAP of Unit-pump Diesel Engine Based on Mesh Adaptive Bayesian Optimization
Year: 2024
Type: article
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.
Source: IFAC-PapersOnLine
Authors: Borui Hu, Ying Huang, Fujun Zhang, Siqiang Liang
Institution: Beijing Institute of Technology
Language: English
Topic: Engine and Fuel Emissions
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405337227