The electric drive system is a key subsystem of battery electric vehicles (BEVs). Abnormalities in the electric drive system components may lead to performance degradation in the drive system and, more severely, loss of power in the vehicle. This article presents an integrated prognosis system for early detection and isolation of the electric drive system and component faults. The system first calculates multiple health features, known as health indicators derived from the available onboard sensor signals. Then, an integrated prognostic and fault isolation strategy is used to isolate the root cause of electric drive faults by monitoring the performance of the multiple health indicators. The prognostic system uses a hierarchical approach: it first determines if there is a degradation in the electric drive system by comparing the system achieved torque with the estimated torque and, then, goes further to check multiple component-level health indicators for the various components comprising an electric drive system, including motor stator winding, three-phase current sensors, and resolver. After a component has been detected to degrade to a certain level, the prognosis system sends out an alert before the severe performance reduction of the drive system occurs, thus protecting the customers from loss of propulsion and walk home situations.

中文翻译：

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纯电动汽车电驱动系统综合故障隔离与预测方法


电力驱动系统是纯电动汽车（BEV）的关键子系统。电力驱动系统部件的异常可能导致驱动系统性能下降，更严重的是，导致车辆动力损失。本文提出了一种集成预测系统，用于早期检测和隔离电力驱动系统和组件故障。该系统首先计算多个健康特征，称为从可用的机载传感器信号派生的健康指标。然后，采用集成的预测和故障隔离策略，通过监控多个健康指标的性能来隔离电力驱动器故障的根本原因。预测系统采用分层方法：首先通过将系统实现的扭矩与估计扭矩进行比较来确定电力驱动系统是否存在退化，然后进一步检查各个组件的多个组件级健康指标，包括电力驱动系统，包括电机定子绕组、三相电流传感器和旋转变压器。在检测到某个部件退化到一定程度后，预测系统会在驱动系统性能严重下降之前发出警报，从而保护客户免受推进力损失和步行回家的情况的影响。