公开(公告)号：US20100217478A1

公开(公告)日：2010-08-26

申请号：US12391862

申请日：2009-02-24

Applicant: YILU ZHANG ,  MARK J. RYCHLINSKI ,  NATHAN D. AMPUNAN ,  YUEN-KWOK CHIN ,  KRISHNARAJ INBARAJAN ,  MUTASIM A. SALMAN ,  PAUL W. LOEWER ,  MARK E. GILBERT ,  SHIRLEY B. DOST

Inventor： YILU ZHANG ,  MARK J. RYCHLINSKI ,  NATHAN D. AMPUNAN ,  YUEN-KWOK CHIN ,  KRISHNARAJ INBARAJAN ,  MUTASIM A. SALMAN ,  PAUL W. LOEWER ,  MARK E. GILBERT ,  SHIRLEY B. DOST

IPC: G06F19/00

CPC classification number: G07C5/008 ,  G07C5/006 ,  G07C5/085

Abstract: A system and method for monitoring the state of health of vehicle components, sub-systems and systems on board the vehicle and/or remotely, and use collected information and data about the vehicle to establish a database for the vehicle as to the state of health of the various components, sub-systems and systems. When a customer brings a vehicle to a service center or dealership complaining about a particular problem, and the service center wishes to replace a part associated with that problem, the OEM or manufacturer can authorize or reject the replacement of the part based on review of the database as to the known state of health of the part. Therefore, only parts which may not be healthy will typically be authorized for replacement. Also, the database can be made available to customers for customer concern resolving.

Abstract translation: 一种用于监测车辆和/或远程车辆部件，子系统和系统的健康状况的系统和方法，并且使用收集的关于车辆的信息和数据来建立车辆关于健康状况的数据库 的各种组件，子系统和系统。 当客户将车辆带到服务中心或经销商抱怨特定问题时，服务中心希望更换与该问题相关的部件时，OEM或制造商可以基于对该部件的检查授权或拒绝更换部件 关于该部分的已知健康状况的数据库。 因此，只有部分可能不健康的部件通常会被授权更换。 此外，数据库可以提供给客户，以便客户关心解决。

公开(公告)号：US20100198452A1

公开(公告)日：2010-08-05

申请号：US12762739

申请日：2010-04-19

Applicant: Yilu Zhang ,  William C. Lin ,  Jing Zhang ,  Yuen-Kwok Chin

Inventor： Yilu Zhang ,  William C. Lin ,  Jing Zhang ,  Yuen-Kwok Chin

IPC: G06F7/00

CPC classification number: B60T8/17551 ,  B60T8/17552 ,  B60T2220/02 ,  B60T2230/02

Abstract: A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.

Abstract translation: 适用于估计驾驶员工作量的车辆稳定性增强系统。 该系统包括驾驶员工作量估计处理器，其基于某些因素（例如车辆速度或驾驶员行为因素）来估计驾驶员工作负荷。 驱动器工作量估计用于调整命令解释器中的动态滤波器中的阻尼比和固有频率，以调整期望的横摆率信号和期望的侧滑信号。 驾驶员工作量估计还用于产生在产生稳定性控制信号的反馈控制处理器中修改横摆率稳定性信号和侧滑稳定性信号的横摆率倍增因子和侧滑倍增因子。

公开(公告)号：US20100179723A1

公开(公告)日：2010-07-15

申请号：US12353084

申请日：2009-01-13

Applicant: YILU ZHANG ,  Mark J. Rychlinski ,  Nathan D. Ampunan ,  Yuen-Kwok Chin ,  Krishnaraj Inbarajan ,  Paul W. Loewer ,  Mark E. Gilbert ,  Shirley B. Dost

Inventor： YILU ZHANG ,  Mark J. Rychlinski ,  Nathan D. Ampunan ,  Yuen-Kwok Chin ,  Krishnaraj Inbarajan ,  Paul W. Loewer ,  Mark E. Gilbert ,  Shirley B. Dost

IPC: G01M17/00

CPC classification number: G07C5/008 ,  G07C5/0816 ,  G07C5/085

Abstract: Information associated with vehicle components and sub-systems is monitored by an on-board module, and associated data, either processed or raw, is telematically transmitted to a remote data center by wireless communications. The remote data center archives the received data in a database for each separate vehicle that is part of the system. The remote data center analyzes the data to ascertain whether the data indicates a usage pattern and/or vehicle condition that may have a detrimental effect on certain vehicle components, sub-systems and systems, such as excessive component wear. For example, the data center runs pattern detection algorithms on the data to identify known usage patterns that may potentially impact normal vehicle operation. If such a usage pattern is detected, the remote data center may issue a warning to the vehicle operator, or other designated person, that such usage may have a detrimental effect on the vehicle or vehicle components.

Abstract translation: 与车载部件和子系统相关的信息由车载模块监控，相关数据（被处理或未加工）通过无线通信远程传输到远程数据中心。 远程数据中心将接收到的数据存储在作为系统一部分的每个单独车辆的数据库中。 远程数据中心分析数据以确定数据是否指示可能对某些车辆部件，子系统和系统有不利影响的使用模式和/或车辆状况，例如过度的部件磨损。 例如，数据中心对数据运行模式检测算法，以识别可能影响正常车辆操作的已知使用模式。 如果检测到这样的使用模式，则远程数据中心可以向车辆操作者或其他指定的人发出警告，认为这种使用可能对车辆或车辆部件有不利影响。

公开(公告)号：US20070063854A1

公开(公告)日：2007-03-22

申请号：US11195469

申请日：2005-08-02

Applicant: Jing Zhang ,  Yilu Zhang ,  Yuri Owechko

Inventor： Jing Zhang ,  Yilu Zhang ,  Yuri Owechko

IPC: G08B23/00

CPC classification number: B60W40/09 ,  B60W2050/0029

Abstract: A method for adaptive driver workload estimation. A subjective assessment of a driver workload is received from a vehicle driver. A stream of sensor input data is collected from one or more sensors in response to receiving the subjective assessment. A machine learning algorithm is applied to a driver workload estimate model based on the stream of sensor input data and the subjective assessment. The result of the applying is an updated driver workload estimate model.

Abstract translation: 一种用于自适应驱动程序工作量估计的方法。 从车辆驾驶员接收到驾驶员工作量的主观评估。 响应于接收主观评估，从一个或多个传感器收集传感器输入数据流。 基于传感器输入数据流和主观评估的机器学习算法应用于驾驶员工作量估计模型。 应用的结果是更新的驱动程序工作负载估计模型。

公开(公告)号：US08471589B2

公开(公告)日：2013-06-25

申请号：US13161939

申请日：2011-06-16

Applicant: Yilu Zhang ,  Siwei Cheng ,  Mutasim A. Salman

Inventor： Yilu Zhang ,  Siwei Cheng ,  Mutasim A. Salman

IPC: G01R31/34

CPC classification number: G01R31/343 ,  G01R31/346

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US08463485B2

公开(公告)日：2013-06-11

申请号：US12943261

申请日：2010-11-10

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

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

IPC: G01M17/00

CPC classification number: G06Q10/0639

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US08433672B2

公开(公告)日：2013-04-30

申请号：US12707456

申请日：2010-02-17

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

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

IPC: G06F15/00 ,  G06N15/18

CPC classification number: G07C5/0808

Abstract: A system and method for determining the health of a component includes retrieving measured health signatures from the component, retrieving component usage variables, estimating component health signatures using an aging model, determining an aging derivative using the aging model and calculating an aging error based on the estimated component health signatures, the aging derivative and the measured health signatures.

Abstract translation: 一种用于确定组件健康的系统和方法，包括从组件检索测量的健康签名，检索组件使用变量，使用老化模型估计组件健康签名，使用老化模型确定老化导数，并基于 估计部件健康签名，老化导数和测量健康签名。

公开(公告)号：US08374745B2

公开(公告)日：2013-02-12

申请号：US12205023

申请日：2008-09-05

Applicant: Yilu Zhang ,  Nathan D. Ampunan ,  Mark J. Rychlinski ,  Mark N. Howell ,  Xiaodong Zhang ,  Krishnaraj Inbarajan ,  John J. Correia ,  Mutasim A. Salman ,  Mark E. Gilbert ,  Paul W. Loewer ,  Shirley B. Dost

Inventor： Yilu Zhang ,  Nathan D. Ampunan ,  Mark J. Rychlinski ,  Mark N. Howell ,  Xiaodong Zhang ,  Krishnaraj Inbarajan ,  John J. Correia ,  Mutasim A. Salman ,  Mark E. Gilbert ,  Paul W. Loewer ,  Shirley B. Dost

IPC: G06F19/00

CPC classification number: G06Q10/04 ,  G07C5/008

Abstract: A system and method for telemetrically collecting on-road vehicle diagnostic data. In one embodiment, the method includes collecting vehicle diagnostic data from service shops, on-road vehicles and warranty records, aggregating the collected data and extracting knowledge therefrom. The extracted knowledge can be used to enhance algorithms on-board vehicles or at service centers so as to better identify vehicle faults and provide enhanced diagnostics and prognostics. The enhanced algorithms can then be used to provide predictive maintenance suggestions, provide trouble shooting assistance or provide vehicle design improvements.

Abstract translation: 遥测车辆诊断数据的系统和方法。 在一个实施例中，该方法包括从服务商店，道路车辆和保修记录收集车辆诊断数据，聚集所收集的数据并从中提取知识。 提取的知识可用于增强车载车辆或服务中心的算法，以便更好地识别车辆故障并提供增强的诊断和预测。 然后可以使用增强的算法来提供预测维护建议，提供故障排除辅助或提供车辆设计改进。

公开(公告)号：US08260493B2

公开(公告)日：2012-09-04

申请号：US12707516

申请日：2010-02-17

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

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

IPC: G06F7/00

CPC classification number: B60W50/04 ,  B60W50/0097 ,  B60W2510/244 ,  B60W2510/248

Abstract: 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.

Abstract translation: 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 。

公开(公告)号：US08212527B2

公开(公告)日：2012-07-03

申请号：US12181683

申请日：2008-07-29

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

Inventor： 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: H02J7/00 ,  H02J7/14 ,  H02J7/16

CPC classification number: G01R31/3693 ,  G01R31/3689 ,  G08C17/00

Abstract: 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.

Abstract translation: 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。