A Power Allocation Strategy Based on Optimal Temperature Tracking for the Contactless Urban Rail Hybrid Energy Storage System

In this paper, a power allocation strategy based on optimal temperature tracking is proposed for the contactless urban rail hybrid energy storage system. First, the maximum power is limited by the charge and discharge capacity factors to prevent overcharging and discharging of system. Second, a power allocation method based on optimal temperature tracking under minimum power loss is employed, which extends the battery lifetime. Third, the current control method based on FCS-MPC is adopted to control the DC-DC converters. Simulation results demonstrate the effectiveness of the proposed strategy.