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    • 14. 发明申请
    • Pattern recognition approach to battery diagnosis and prognosis
    • 模式识别方法对电池诊断和预后
    • US20090326841A1
    • 2009-12-31
    • US12147556
    • 2008-06-27
    • Xiaodong ZhangYilu ZhangYuen-Kwok Chin
    • Xiaodong ZhangYilu ZhangYuen-Kwok Chin
    • G01R31/36G06N3/02G06F15/18
    • G01R31/3679G01R31/3651
    • 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.
    • 在发动机起动阶段期间提供一种用于确定车辆中的电池的健康状态的方法。 启动发动机起动阶段。 记录在发动机起动阶段包括电池电压数据和发动机起动速度数据的特征数据。 将特征数据提供给预处理单元。 预处理单元对分类器内的特征数据进行归一化处理。 在分类器中输入归一化数据以确定车辆电池的健康状况。 分类器具有训练有素的健康状态决策边界,其由多个试验产生,其中以已知类别收集预定表征数据。 电池健康状况根据受过训练的健康状况决定界限进行分类。
    • 19. 发明申请
    • BATTERY STATE OF HEALTH MONITORING SYSTEM AND METHOD
    • 健康监测系统和方法的电池状态
    • US20090146664A1
    • 2009-06-11
    • US11951400
    • 2007-12-06
    • Xiaodong Zhang
    • Xiaodong Zhang
    • G01R31/36G06F19/00
    • G01R31/3679G01R31/3648
    • A state-of-health monitoring and prognosis method and system for a battery includes a signal preprocessing module for monitoring battery terminal voltage and current and extracting a portion of the battery terminal voltage and current corresponding to an engine cranking event. Battery voltage loss that occurs during said engine cranking event is estimated from the extracted portion of battery terminal voltage and current by a voltage loss estimation module. The estimated battery voltage loss is compared with a predetermined voltage loss threshold to determine battery state-of-health by a state-of-health evaluation module.
    • 用于电池的健康状态监测和预测方法和系统包括用于监测电池端子电压和电流并提取与发动机起动事件相对应的电池端子电压和电流的一部分的信号预处理模块。 在所述发动机起动事件期间发生的电池电压损失由电池端子电压和电流的提取部分由电压损耗估计模块估计。 将估计的电池电压损失与预定的电压损失阈值进行比较,以通过健康状况评估模块确定电池的健康状况。