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Pattern recognition approach to battery diagnosis and prognosis

机译:模式识别方法用于电池诊断和预后

摘要

A method is provided for determining a state-of-health of a battery in a vehicle-during an engine cranking phase. An engine cranking phase is initiated. Characteristic data is recorded that includes battery voltage data and engine cranking speed data during the engine cranking phase. The characteristic data is provided to a pre-processing unit. The pre-processing unit normalizes the characteristic data for processing within a classifier. The normalized data is input o the classifier for determining the vehicle battery state-of-health. The classifier has a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes. The battery state-of-health is classified based on the trained state-of-health decision boundary.
机译:提供了一种用于在发动机起动阶段期间确定车辆中电池的健康状态的方法。发动机启动阶段开始。记录特征数据,该特征数据包括在发动机起动阶段期间的电池电压数据和发动机起动速度数据。该特征数据被提供给预处理单元。预处理单元对特征数据进行归一化,以在分类器中进行处理。归一化的数据输入到分类器中,以确定车辆电池的健康状态。该分类器具有训练后的健康状况决策边界,该边界是由多个试验得出的,在这些试验中,使用已知类别收集了预定的特征数据。基于训练后的健康状况决策边界对电池健康状况进行分类。

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