Optimization of Transmission Electrical Oil Pumps Using Model-based System Engineering Techniques.
by Oscar Sarmiento
Electrical Oil Pump Modular Design Platform – Simulation-based Optimization Method for EOP Design – Co-Simulation Framework for Parameter Sensitivity Analysis – Approach for Assessment Integration Level based on KPIs
This paper explores how the Model-based Systems Engineering (MBSE) framework can be applied to the optimization of an Electrical Oil Pump (EOP). MBSE creates an architecting framework that supports trades across performance, cost and realization.
By applying Functional Mockup Interfaces (FMI), a multi-domain simulation platform for electromagnetic, magneto-mechanical, mechanic-hydraulic and thermal analysis and simulation was developed. This platform allowed the communication and coupling of cross-disciplinary dynamic models.
In this fashion, the interaction between physical domains is analyzed at several abstraction levels to determine key design parameter sets of the EOP. For this purpose, parameter sensitivity and main interaction analyses are conducted. Based on this output, a local parameter optimization process is carried out to meet transient performance requirements on a dual pump hydraulic supply systems.
Based on the system performance requirements, a guideline for the specification of single components, e.g. pump, motor, cooling strategy was derived from so called core features (CF). The level of integration was assessed by interface Key Performance Indicators (KPIs), establishing an EOP platform framework.
Simulation and measurement results from three different applications: low pressure – high flow (LP-HF), high pressure – low flow (HP-LF) and high-pressure – high flow (HP-HP) are presented to verify and validate the proposed approach.