关键词: 电动物流车, 驱动电机, 冷却系统, 联合仿真, 最优温度控制 

Abstract: In order to guarantee electric transport vehicle drive motor working in safety temperature range, output power of electric vehicle driving motor cooling system needs to be precisely controlled. Without considering the contrary relationship between drive motor’s heat loss and output power from cooling system, traditional control methods such as threshold triggering will cause higher total power consumption. An optimal temperature control strategy was proposed to minimize total power consumption of the cooling system. Taking the calculated motor’s temperature corresponding to the lowest total power consumption, this strategy can fulfill the aim of energy saving through controlling electronic fan’s rotating speed, which is deduced from analysis of relationship between total power and motor’s temperature. Taking a certain type electric transport vehicle as the application object, a simulation model was setup based on AMESim-MATLAB co-simulation platform to testify feasibility of the control strategy. Meanwhile, test results from a specially built platform have shown that the total power consumption can reduced about 3.8% compared with threshold triggering control mode.

Key words: electric transport vehicle, driving motor, cooling system, cosimulation, optimal temperature control