In this paper, an advanced electrothermal model was developed in order to provide real-time information about the thermal states of the electrical components of the vehicle’s powertrain and determine the evolution of losses and that of powertrain parameters versus temperature during vehicle traffic. Then, electrothermal models were introduced in order to study the impact of the thermal behavior of the motor–inverter combination on the speed control of an electric vehicle. The obtained results show that the efficiency of the adopted PI regulators with predetermined parameters is heavily affected by the variation of powertrain parameters caused by temperature change. To improve the performance of the vehicle speed control and make the PI regulators adaptable to the variation of the different parameters during a drive cycle, the fuzzy logic technique was adopted.

在本文中，开发了一种先进的电热模型，以便提供有关车辆动力总成电气组件热状态的实时信息，并确定车辆交通过程中损耗的演变以及动力总成参数随温度的变化。然后，引入电热模型以研究电动机-变频器组合的热性能对电动汽车的速度控制的影响。获得的结果表明，采用预定参数的PI调节器的效率受温度变化导致动力总成参数变化的严重影响。为了提高车辆速度控制的性能，并使PI调节器适应行驶周期中不同参数的变化，