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Lifetime prediction model for electric vehicle IGBT modules under driving conditions

机译:电动车辆IGBT模块在驾驶条件下的寿命预测模型

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摘要

In order to study the effect of road conditions and electric vehicle (EV) running speed on useful lifespan, a model for predicting the lifespans of (i)nsulated gate bipolar transistor (IGBT) modules of EVs is proposed. The life cycle prediction model was formulated according to an analysis of the working state, power loss, and junction temperature fluctuation of IGBT modules under driving conditions and was implemented using MATLAB software. Then, the lifetime prediction model was used to calculate the life mileage of an EV under the New European Driving Cycle (NEDC); the results predict a life mileage of 182.98 km. The simulation results of junction temperatures under the NEDC conditions indicate that the acceleration process of EVs has a substantial influence on the lifetime of IGBT modules. The lifetime prediction model was also used to analyze the relationship between the speed of EVs and the lifetime of IGBT modules. The IGBT modules have a maximum life mileage at a constant speed of 70 km/h; life mileage declines gradually as the speed increases or decreases. This lifetime prediction model can be used to predict lifetime of EV IGBT modules under driving conditions and analyze the effect of driving conditions on lifespan effectively.
机译:为了研究道路条件和电动车辆(EV)运行速度对有用的寿命的影响,提出了一种预测EVS(I)绑定栅极晶体管(IGBT)模块的寿命的模型。根据驾驶条件下的IGBT模块的工作状态,功率损耗和结温波动的分析配制了生命周期预测模型,并使用MATLAB软件实现。然后,使用寿命预测模型用于在新的欧洲驾驶周期(NEDC)下计算EV的寿命里程;结果预测了182.98公里的生命里程。 NEDC条件下的结温的仿真结果表明,EVS的加速过程对IGBT模块的寿命具有重要影响。寿命预测模型还用于分析EVS速度与IGBT模块的寿命之间的关系。 IGBT模块以70 km / h的恒定速度具有最高寿命的里程。随着速度的增加或减少,生活里程数逐渐下降。该寿命预测模型可用于预测驾驶条件下EV IGBT模块的寿命,并有效地分析驾驶条件对寿命的影响。

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