Work

Accelerated Steady-State Torque Computation for Induction Machines Using Parallel-In-Time Algorithms

Year: 2020

Type: article

Abstract: This article focuses on efficient steady-state computations of induction machines. In particular, the periodic Parareal algorithm with the initial-value coarse problem (PP-IC) is considered for acceleration of classical time-stepping simulations via non-intrusive parallelization in the time domain, i.e., existing implementations can be reused. Superiority of this parallel-in-time method is in its direct applicability to time-periodic problems, compared to, e.g., the standard Parareal method, which only solves an initial-value problem, starting from a prescribed initial value. PP-IC is exploited here to obtain the steady state of several operating points of an asynchronous (induction) motor used in an electric vehicle drive. Numerical experiments show that acceleration up to several dozens of times can be obtained, depending on availability of parallel processing units. The comparison of PP-IC with the existing time-periodic explicit error correction method highlights better robustness and efficiency of the considered time-parallel approach.

Source: IEEE Transactions on Magnetics

DOI: 10.1109/tmag.2019.2945510

Authors: Denys Bast, Iryna Kulchytska-Ruchka, Sebastian Schops, Oliver Rain

Institutions: Technische Universität Darmstadt, Robert Bosch (Germany)

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung