Collaborative Control of Overcharging‐Swapping‐Wireless Charging Systems via Industrial IoT for Extreme Cold Regions

ABSTRACT In this study, a cooperative control algorithm for overcharging‐exchange‐wireless charging three‐stage system is designed based on industrial Internet of Things (IoT) technology to address the problems of low charging efficiency and battery performance degradation of electric vehicles in extremely cold regions. This study proposes a collaborative control method based on the improved NSGA‐III multi‐objective optimization algorithm and fuzzy PID temperature compensation strategy. Through industrial IoT, it achieves dynamic collaborative optimization of the three‐phase system (overcharging, battery swapping, and wireless charging) under extreme cold conditions. Innovations include: (1) The first integration of multi‐objective optimization with distributed reinforcement learning to enable system‐level energy scheduling; (2) Proposing a dynamic mutual inductance model and bilateral LCC compensation topology to address wireless charging parameter drift; (3) Employing a two‐dimensional fuzzy controller with fuzzy PID temperature compensation, which significantly enhances system stability and efficiency in extreme low‐temperature environments.