发明名称 Pattern recognition approach to battery diagnosis and prognosis
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.
申请公布号 US8972213(B2) 申请公布日期 2015.03.03
申请号 US200812147556 申请日期 2008.06.27
申请人 GM Global Technology Operations LLC 发明人 Zhang Xiaodong;Zhang Yilu;Chin Yuen-Kwok
分类号 G01R19/155;G01R19/15;G01R19/30;G01R19/32;G01R31/36 主分类号 G01R19/155
代理机构 代理人
主权项 1. A method for determining a state-of-health of a battery during an engine cranking phase, the method comprising the steps of: initiating the engine cranking phase; recording characteristic data including battery voltage data and engine cranking speed data during the engine cranking phase; providing characteristic data to a pre-processing unit, the pre-processing unit normalizing the characteristic data for processing within a classifier; inputting the normalized data to the classifier for determining the battery state-of-health, the classifier having a trained state-of-health decision boundary resulting from a plurality of trials in which predetermined characterization data is collected with known classes; and classifying the battery state-of-health based on the trained state-of-health decision boundary.
地址 Detroit MI US