In this thesis, an automated calibration method for control algorithms, based on look-up tables, is proposed. The method has been applied to the algorithm strategy for battery heating controlling the thermal energy generated by the electrified powertrain. Look-Up tables are widely used in powertrain control systems, both for electric powertrains and for internal combustion engine powertrains, as they enable real-time computations based on precomputed results. This makes them ideal for online applications due to their low computational cost. The main issue of using look-up tables comes from their calibration. At present, this calibration requires expert engineers that have to tune these tables through a highly time consuming and resource intensive process which involves extensive testing and iterations.