Crank Mechanism Friction Modeling for Control-Oriented Applications

Abstract

Purpose of the study is to improve the base calibration process of engine Electronic Control Unit (ECU) through the use of 0D-1D CFD engine models coupled to a physics-based model of the engine frictions. Once reliably calibrated, the overall engine model can be used to reduce the experimental effort of the base calibration process. In this paper a specific methodology based on the vector optimization approach is also proposed in order to reliably calibrate the numerical friction model. This methodology was applied to an engine crank mechanism model adopting specific friction sub models, generated using a multibody approach. The vector optimization problem was solved using experimental engine friction data measured in 13 operating conditions: the comparison between numerical results and experimental data highlights how the proposed modelling approach can be effectively adopted to simulate the friction losses, since the average error is about 5%. Therefore, coupling reliably calibrated friction models to 0D-1D CFD engine models could be useful to improve the estimation of the main engine quantities to be used in the base calibration process.

A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems

“…If parts and components are in a mature state, HiL tests can be performed with th actual components integrated into specifically designed test benches (see Figure 3). In this environment there is the need of using high-fidelity models [146], whose p rameters should be accurately identified [147] to be hence validated through real wor data [148]. In particular, in [30] a BMW 320 vehicle model was used together with a re Diesel engine in HiL configuration to evaluate the MPC-based CACC fuel consumptio reduction.…”

“…In particular, in [30] a BMW 320 vehicle model was used together with a re Diesel engine in HiL configuration to evaluate the MPC-based CACC fuel consumptio reduction. This performance assessment test addressed the fuel economy, considering th In this environment there is the need of using high-fidelity models [146], whose parameters should be accurately identified [147] to be hence validated through real world data [148]. In particular, in [30] a BMW 320 vehicle model was used together with a real Diesel engine in HiL configuration to evaluate the MPC-based CACC fuel consumption reduction.…”

Experimental and Numerical Analysis of a Low Environmental Impact Pyro-Gasification System for the Energetic Valorization of Waste through a Biomass Steam Power Plant

“…To identify a single optimal solution among those belonging to the Pareto optimal front, some authors adopted the minimum distance from the origin of a n-dimensions hyperspace, considered as an ideal optimum, as decision-making-criteria [49,50]. Furthermore, many different criteria have been proposed in the literature [51].…”