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    • 5. 发明申请
    • OPTIMIZING SYSTEM PERFORMANCE USING STATE OF HEALTH INFORMATION
    • 使用健康信息状态的优化系统性能
    • US20130158755A1
    • 2013-06-20
    • US13325132
    • 2011-12-14
    • Xidong TangMutasim A. SalmanYilu Zhang
    • Xidong TangMutasim A. SalmanYilu Zhang
    • B60L15/20G05B13/04
    • G05B23/0294B60W20/50H01M10/48Y02T10/7258
    • A method for optimizing performance of a system includes determining, via a controller, a state of health (SOH) for each of a plurality of components of the system, and determining a state of function (SOF) of the system using the SOH of each component. The method includes estimating the remaining useful life (RUL) of the system using the system SOF, selecting a cost-optimal control strategy for the system using a costing model, and dynamically, i.e., in real time, executing the selected strategy to extend the estimated RUL. The method may include comparing the selected cost-optimal strategy to a calibrated performance threshold, and executing the selected strategy only when the selected strategy exceeds the threshold. A system includes first and second components and a controller. The controller dynamically executes the above method with respect to the components, which may be a traction motor and battery in one possible embodiment.
    • 一种用于优化系统性能的方法包括:经由控制器确定系统的多个组件中的每一个的健康状态(SOH),以及使用每个系统的SOH来确定系统的功能状态(SOF) 零件。 该方法包括使用系统SOF估计系统的剩余使用寿命(RUL),使用成本核算模型选择用于系统的成本最优控制策略,并且动态地(即实时地)执行所选择的策略以扩展 估计RUL 该方法可以包括将所选择的成本最优策略与校准的性能阈值进行比较,并且仅在所选择的策略超过阈值时执行所选择的策略。 系统包括第一和第二组件和控制器。 在一个可能的实施例中,控制器相对于组件动态执行上述方法,其可以是牵引电动机和电池。
    • 7. 发明申请
    • V2X-Connected Cooperative Diagnostic & Prognostic Applications in Vehicular AD HOC Networks
    • V2X连接的车载AD HOC网络中的协同诊断和预测应用
    • US20110238259A1
    • 2011-09-29
    • US12731395
    • 2010-03-25
    • Fan BaiYilu Zhang
    • Fan BaiYilu Zhang
    • G06F19/00
    • H04L67/125H04W24/00H04W84/18
    • A method is provided for processing and analyzing diagnostic and prognostic data in a vehicle ad-hoc network. Diagnostic and prognostic data is exchanged between a host vehicle and remote vehicles in the vehicle ad-hoc network. The received diagnostic and prognostic data is stored in a memory of the host vehicle. Redundancy is eliminated in the received diagnostic and prognostic data. The diagnostic and prognostic data is assigned to clusters. Anomalies are detected in the stored data utilizing clustering techniques that determine whether a cluster of diagnostic and prognostic data formed from the host vehicle substantially deviates from the clusters of diagnostic and prognostic data formed from the remote vehicles. A driver of a vehicle is notified if the cluster data from a host vehicle deviates significantly from the clusters from the remote vehicles.
    • 提供了一种用于处理和分析车辆自组织网络中的诊断和预测数据的方法。 在车辆自组织网络中的主车辆和远程车辆之间交换诊断和预测数据。 所接收的诊断和预测数据被存储在主车辆的存储器中。 在接收的诊断和预后数据中消除了冗余。 将诊断和预后数据分配给集群。 使用聚类技术在存储数据中检测到异常,其确定从主车辆形成的诊断和预测数据的集群是否基本上偏离由远程车辆形成的诊断和预测数据的集群。 如果来自主车辆的集群数据与来自远程车辆的集群的显着偏离,则通知车辆的驾驶员。
    • 9. 发明授权
    • Optimizing system performance using state of health information
    • 使用健康状况信息优化系统性能
    • US08612079B2
    • 2013-12-17
    • US13325132
    • 2011-12-14
    • Xidong TangMutasim A. SalmanYilu Zhang
    • Xidong TangMutasim A. SalmanYilu Zhang
    • B60L9/00
    • G05B23/0294B60W20/50H01M10/48Y02T10/7258
    • A method for optimizing performance of a system includes determining, via a controller, a state of health (SOH) for each of a plurality of components of the system, and determining a state of function (SOF) of the system using the SOH of each component. The method includes estimating the remaining useful life (RUL) of the system using the system SOF, selecting a cost-optimal control strategy for the system using a costing model, and dynamically, i.e., in real time, executing the selected strategy to extend the estimated RUL. The method may include comparing the selected cost-optimal strategy to a calibrated performance threshold, and executing the selected strategy only when the selected strategy exceeds the threshold. A system includes first and second components and a controller. The controller dynamically executes the above method with respect to the components, which may be a traction motor and battery in one possible embodiment.
    • 一种用于优化系统性能的方法包括:经由控制器确定系统的多个组件中的每一个的健康状态(SOH),以及使用每个系统的SOH来确定系统的功能状态(SOF) 零件。 该方法包括使用系统SOF估计系统的剩余使用寿命(RUL),使用成本核算模型选择用于系统的成本最优控制策略,并且动态地(即实时地)执行所选择的策略以扩展 估计RUL 该方法可以包括将所选择的成本最优策略与校准的性能阈值进行比较,并且仅在所选择的策略超过阈值时执行所选择的策略。 系统包括第一和第二组件和控制器。 在一个可能的实施例中,控制器相对于组件动态执行上述方法,其可以是牵引电动机和电池。