  This paper focuses on efficient steady-state computations of induction
machines. In particular, the periodic Parareal algorithm with initial-value
coarse problem (PP-IC) is considered for acceleration of classical
time-stepping simulations via non-intrusive parallelization in 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
induction motor, developed by Robert Bosch GmbH. Numerical experiments show
that acceleration up to several dozens of times can be obtained, depending on
availability of parallel processing units. Comparison of PP-IC with existing
time-periodic explicit error correction method highlights better robustness and
efficiency of the considered time-parallel approach.
