基于机器学习的车队数据分析

Analysis of Fleet Data Using Machine Learning Methods

摘要:

为了增强新一代车辆的功能和安全性，收集了大量的车辆行驶历史数据，利用机器学习方法创建基于规则的计算模型，以检测车队中的故障车辆。详细介绍了模型的设计步骤，并通过低压电池的电气故障测试进行该方法的有效性验证。分析结果可供后续车型台架测试参考。

Abstract:

To enhance the functions and improve the safety of the new generation of vehicles， this paper collected abundant history data of vehicles and then created a rule-based model by using machine learning methods， so as to detect the faulty vehicle in a fleet. Several steps were designed for detailed illustration， and the validation of the method was conducted through electrical fault of the LV （lithium-cobalt） battery. The results can be used as input for the test bench tests of the following vehicle generations.