Enhanced Algorithm For Real Time Temperature Rise Prediction Of A Traction Linear Induction Motor

Thermal optimization is an important design aspect for electrical and electronic devices. The nominal load is mostly used for the thermal design; potential operational overloads are mitigated by monitoring the temperature via feedback sensors or by switching the device off based on timing such overloads out, providing the potential overload level is known. This paper describes a precise temperature tracking algorithm for a traction Linear Induction Motor (LIM), which is routinely subjected to a severe thermal duty. Theoretical predictions and the proposed algorithm are tested on a LIM-propelled electric traction vehicle. Application of the algorithm is extended to other components such as input filter inductors and high voltage DC supply cables.