The paper at hand deals with the optimization of multisine signals in terms ofeffective value for identification of electric drive trains, considering constraints on position,velocity, acceleration and torque. The advantage of maximizing the effective value whilerespecting the constraints rather than minimizing the crest factor of the input signal isdelineated. Results with two algorithms suitable for this optimization task are presented fordifferent sets of dynamic constraints. It is shown that the proposed modified clipping algorithmis much faster than the L1 optimization which is dedicated to simultaneous optimization ofseveral different signals, while being slightly less performant in terms of effective value.