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    Method and apparatus for alternator stator turn-to-turn short detection
    31.
    发明授权
    Method and apparatus for alternator stator turn-to-turn short detection 有权
    交流发电机定子匝间短路检测方法及装置

    公开(公告)号：US08471589B2

    公开(公告)日：2013-06-25

    申请号：US13161939

    申请日：2011-06-16

    申请人： Yilu Zhang ,  Siwei Cheng ,  Mutasim A. Salman

    发明人： Yilu Zhang ,  Siwei Cheng ,  Mutasim A. Salman

    IPC分类号： G01R31/34

    CPC分类号： G01R31/343 ,  G01R31/346

    摘要： A method for detecting whether the stator in a vehicle alternator has a turn-to-turn short circuit. The method includes determining an output current or voltage signal of the alternator, where the output current or voltage signal includes a ripple current frequency as a result of an AC-to-DC conversion. The method determines the speed of the alternator and a current output of the alternator. The method then determines the ripple current frequency of the alternator from the alternator speed, and determines a winding frequency from the ripple current frequency. The method performs an FFT analysis on the voltage and current signal, determines an amplitude of the winding frequency and compares the amplitude of the winding frequency to a predetermined amplitude, where if the difference exceeds a predetermined threshold, a turn-to-turn short circuit is likely occurring.

    摘要翻译： 一种用于检测车辆交流发电机中的定子是否具有匝间短路的方法。 该方法包括确定交流发电机的输出电流或电压信号，其中输出电流或电压信号包括作为AC到DC转换的结果的纹波电流频率。 该方法确定交流发电机的速度和交流发电机的电流输出。 然后，该方法从交流发电机速度确定交流发电机的纹波电流频率，并从纹波电流频率确定绕组频率。 该方法对电压和电流信号进行FFT分析，确定绕组频率的幅度，并将绕组频率的振幅与预定幅度进行比较，其中如果差超过预定阈值，则匝间短路 很可能发生。

    Process for service diagnostic and service procedures enhancement
    32.
    发明授权
    Process for service diagnostic and service procedures enhancement 有权
    服务诊断和服务程序增强的过程

    公开(公告)号：US08463485B2

    公开(公告)日：2013-06-11

    申请号：US12943261

    申请日：2010-11-10

    申请人： Mark N. Howell ,  Mutasim A. Salman ,  Xidong Tang ,  Yilu Zhang ,  Soumen De ,  Sugato Chakrabarty ,  Rahul Chougule ,  Pulak Bandyopadhyay ,  Steven W. Holland

    发明人： Mark N. Howell ,  Mutasim A. Salman ,  Xidong Tang ,  Yilu Zhang ,  Soumen De ,  Sugato Chakrabarty ,  Rahul Chougule ,  Pulak Bandyopadhyay ,  Steven W. Holland

    IPC分类号： G01M17/00

    CPC分类号： G06Q10/0639

    摘要： A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

    摘要翻译： 提供了一种利用先前服务车辆的维修数据来增强服务诊断的方法。 从存储器存储装置获得先前服务车辆的维修数据。 服务数据被编译成服务诊断代码数据集和服务人工代码数据集。 服务诊断码数据集和服务人工代码数据集分为电子数据表。 在电子数据表中形成各种组合。 为电子数据表中的每个组合确定聚合计数。 识别与诊断代码或服务劳动代码中的多于一个的相关性的各个诊断代码或相应的服务劳工代码。 响应于分析各个组合，修改用于修理车辆的维修程序中的至少一个或用于识别故障的相应服务诊断代码。

    Health prognosis for complex system using fault modeling
    35.
    发明授权
    Health prognosis for complex system using fault modeling 有权
    使用故障建模的复杂系统的健康预测

    公开(公告)号：US08260493B2

    公开(公告)日：2012-09-04

    申请号：US12707516

    申请日：2010-02-17

    申请人： Yilu Zhang ,  Mutasim A. Salman ,  Kwang-Keun Shin ,  Satish Rajagopalan ,  Mark N. Howell ,  Xidong Tang ,  Hong S. Bae

    发明人： Yilu Zhang ,  Mutasim A. Salman ,  Kwang-Keun Shin ,  Satish Rajagopalan ,  Mark N. Howell ,  Xidong Tang ,  Hong S. Bae

    IPC分类号： G06F7/00

    CPC分类号： B60W50/04 ,  B60W50/0097 ,  B60W2510/244 ,  B60W2510/248

    摘要： A system and method for providing component and sub-system state of health prognosis in a complex system using fault models and component aging models. The method includes determining a current state of health value for a sub-system using fault signature test results and determining current state of health values for a plurality of components in the sub-system using the fault signature test results. The method also determines current state of health values for components in the system that cannot use fault signature test results using a first probability model and the current state of health values for the plurality of components. The method determines predicted future state of health values for the components in the sub-system using component aging models and determines a predicted future state of health value for the sub-system using a second probability model and the future state of health values of the components.

    摘要翻译： 一种使用故障模型和组件老化模型在复杂系统中提供组件和子系统健康状况预测的系统和方法。 该方法包括使用故障签名测试结果确定子系统的健康状况值的当前状态，并使用故障签名测试结果确定子系统中的多个组件的健康值的当前状态。 该方法还确定系统中不能使用第一概率模型使用故障签名测试结果和多个组件的健康状况值的当前状态的组件的健康状况值的当前状态。 该方法使用组件老化模型确定子系统中组件的健康值的预测未来状态，并使用第二概率模型确定子系统的健康值的预测未来状态以及组件的健康值的未来状态 。

    Method and apparatus for telematics-based vehicle no-start prognosis
    36.
    发明授权
    Method and apparatus for telematics-based vehicle no-start prognosis 有权
    基于远程信息处理的车辆无启动预后的方法和装置

    公开(公告)号：US08212527B2

    公开(公告)日：2012-07-03

    申请号：US12181683

    申请日：2008-07-29

    申请人： Yilu Zhang ,  Mutasim A. Salman ,  Ryan M. Edwards ,  John J. Correia ,  Mark J. Rychlinski ,  Gary W Gantt, Jr. ,  Halasya Siva Subramania ,  Kyle L Lobes

    发明人： Yilu Zhang ,  Mutasim A. Salman ,  Ryan M. Edwards ,  John J. Correia ,  Mark J. Rychlinski ,  Gary W Gantt, Jr. ,  Halasya Siva Subramania ,  Kyle L Lobes

    IPC分类号： H02J7/00 ,  H02J7/14 ,  H02J7/16

    CPC分类号： G01R31/3693 ,  G01R31/3689 ,  G08C17/00

    摘要： A system and method for determining the status of a vehicle battery to determine whether the battery may not have enough charge to start the vehicle. The method includes collecting data relating to the battery on the vehicle and collecting data relating to the battery at a remote back-office. Both the vehicle and the remote data center determine battery characteristics based on the collected data and the likelihood of a vehicle no-start condition, where the algorithm used at the remote back-office may be more sophisticated. The data collected at the remote back-office may include vehicle battery information transmitted wirelessly from the vehicle, and other information, such as temperature, battery reliability, miles that the vehicle has driven per day, ambient temperature, high content vehicle, etc. Both the vehicle and the remote back-office may determine the battery open circuit voltage.

    摘要翻译： 一种用于确定车辆电池的状态以确定电池是否可能没有足够的充电以启动车辆的系统和方法。 该方法包括在车辆上收集与电池相关的数据，并在远程后台收集与电池相关的数据。 车辆和远程数据中心都基于收集的数据和车辆无启动条件的可能性确定电池特性，其中在远程后台使用的算法可能更复杂。 在远程后台收集的数据可以包括从车辆无线传输的车辆电池信息，以及诸如温度，电池可靠性，车辆每天驾驶的里程，环境温度，高内容车辆等的其他信息。两者 车辆和远程后台可以确定电池的开路电压。

    METHOD AND APPARATUS FOR TELEMATICS-BASED VEHICLE NO-START PROGNOSIS
    40.
    发明申请
    METHOD AND APPARATUS FOR TELEMATICS-BASED VEHICLE NO-START PROGNOSIS 有权
    用于基于电话的车辆无启动预警的方法和装置

    公开(公告)号：US20100026306A1

    公开(公告)日：2010-02-04

    申请号：US12181683

    申请日：2008-07-29

    申请人： Yilu Zhang ,  Mutasim A. Salman ,  Ryan M. Edwards ,  John J. Correia ,  Mark J. Rychlinski ,  Gary W. Gantt, JR. ,  Halasya Siva Subramania ,  Kyle L. Lobes

    发明人： Yilu Zhang ,  Mutasim A. Salman ,  Ryan M. Edwards ,  John J. Correia ,  Mark J. Rychlinski ,  Gary W. Gantt, JR. ,  Halasya Siva Subramania ,  Kyle L. Lobes

    IPC分类号： G01R31/36

    CPC分类号： G01R31/3693 ,  G01R31/3689 ,  G08C17/00

    摘要： A system and method for determining the status of a vehicle battery to determine whether the battery may not have enough charge to start the vehicle. The method includes collecting data relating to the battery on the vehicle and collecting data relating to the battery at a remote back-office. Both the vehicle and the remote data center determine battery characteristics based on the collected data and the likelihood of a vehicle no-start condition, where the algorithm used at the remote back-office may be more sophisticated. The data collected at the remote back-office may include vehicle battery information transmitted wirelessly from the vehicle, and other information, such as temperature, battery reliability, miles that the vehicle has driven per day, ambient temperature, high content vehicle, etc. Both the vehicle and the remote back-office may determine the battery open circuit voltage.

    摘要翻译： 一种用于确定车辆电池的状态以确定电池是否可能没有足够的充电以启动车辆的系统和方法。 该方法包括在车辆上收集与电池相关的数据，并在远程后台收集与电池相关的数据。 车辆和远程数据中心都基于收集的数据和车辆无启动条件的可能性确定电池特性，其中在远程后台使用的算法可能更复杂。 在远程后台收集的数据可以包括从车辆无线传输的车辆电池信息，以及诸如温度，电池可靠性，车辆每天驾驶的里程，环境温度，高内容车辆等的其他信息。两者 车辆和远程后台可以确定电池的开路电压。