Active Temperature Limitation Algorithm to Maximize Potential Driving Current Capability of Electric Motors

This paper addresses the critical issue of managing motor temperature in mechatronic systems, where the overheating of electric motors can result in reduced durability, stability, and control performance. By identifying the relationship between current input and motor temperature, the study proposes a novel algorithm to maintain motor temperature while minimizing driving current reduction, without the need for additional cooling systems. The algorithm actively reduces current input with an optimal reduction ratio derived from a proposed thermal model of the electric motor. Through experimental validation, the efficacy of the proposed approach is demonstrated, offering a solution to the complex challenge of balancing motor temperature and control input. Furthermore, the parameter range of the proposed algorithm that ensures temperature convergence is derived and verified. This research contributes to advancing the design and control strategies of mechatronic systems, ensuring their safety, longevity, and performance in various applications.