In this paper, a software framework is presented through an application that is able
to jointly optimize an electric motor and a gearbox for the design of a drive system
for electric vehicles. The framework employs a global optimization method and uses
both analytical and finite element method (FEM) models to evaluate the objective functions.
The optimization process is supported by a statistical surrogate model, which allows
a large reduction of runtime. An earlier version of this framework was only suitable
for electric motor optimization. In the application presented in a previous paper,
the motor of a belt-driven electric drive system was optimized. In this paper, the
optimization of the same drive system is shown, but now with a combined optimization
of a gear drive and motor. The objective functions of optimization are minimizing
the total loss energy and the weight of the drive system. The optimization results
are compared with previous results to demonstrate the further potential of joint optimization.