公开(公告)号：US10852340B2

公开(公告)日：2020-12-01

申请号：US16196023

申请日：2018-11-20

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu Du ,  Wen-Chiao Lin ,  Yilu Zhang

IPC: G01R31/00 ,  B60L3/00 ,  G01R31/3842 ,  G01R31/66 ,  G08B25/00 ,  G08B21/18

Abstract: A vehicle electronics high-resistance fault diagnosis system is provided, as well as a method of detecting and isolating a high-resistance fault in vehicle electronics of a vehicle. The method includes the steps of determining electrical data for one or more portions of the vehicle electronics, wherein the electrical data includes voltage data and/or current data concerning the one or more portions of the vehicle electronics; calculating a resistance for a plurality of resistance sets of the vehicle electronics based on the electrical data, wherein each of the plurality of resistance sets includes one or more electrical components; obtaining a resistance set threshold for each of the plurality of resistance sets of the vehicle electronics; for each of the plurality of resistance sets, evaluating whether the resistance of the resistance set exceeds the resistance set threshold; and based on the evaluating step, identifying one or more high-resistance fault candidates.

公开(公告)号：US10481600B2

公开(公告)日：2019-11-19

申请号：US15705394

申请日：2017-09-15

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Chih-hung Yen ,  Yao Hu ,  Yilu Zhang ,  Paul E. Krajewski ,  Steven W. Holland ,  Mutasim A. Salman ,  Xiaoyu Huang ,  Azeem Sarwar

IPC: G05D1/00 ,  G05D1/02 ,  H04L29/08

Abstract: Systems and method are provided for collaboration between autonomous vehicles. In one embodiment, a processor-implemented method for coordinating travel between multiple autonomous vehicles is provided. The method includes sending a collaboration request to one or more vehicles in an area to form a group to perform a mission, receiving an acceptance of the collaboration request to join the group wherein the group includes a plurality of vehicles, cooperating in assigning leading functions for the group to one or more of the plurality of vehicles in the group, cooperating in mission negotiations for the group, cooperating in determining a formation for the group, and cooperating in generating a trajectory for the group. The vehicles in the group are operated in accordance with the determined formation and generated trajectory.

公开(公告)号：US20190066398A1

公开(公告)日：2019-02-28

申请号：US15688422

申请日：2017-08-28

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Chaitanya Sankavaram ,  Steven W. Holland ,  Shiming Duan ,  Azeem Sarwar ,  Yao Hu ,  Paul E. Krajewski ,  Yilu Zhang

IPC: G07C5/00 ,  G06Q50/30 ,  G07C5/08

Abstract: A method and associated device for automated maintenance scheduling for an autonomous vehicle includes monitoring a state of health (SOH) of an on-vehicle subsystem and monitoring an appointment log associated with a vehicle operator. Upon detecting a change in the SOH of the on-vehicle subsystem, the method includes communicating with a service center to determine a recommended maintenance action associated with the change in the SOH of the on-vehicle subsystem and to determine a proposed service appointment for the autonomous vehicle to effect the recommended maintenance action. The proposed service appointment is coordinated with the appointment log, and verified with the vehicle operator. A service appointment is scheduled based upon the proposed service appointment when verified by the vehicle operator. The appointment log is updated to include the service appointment.

公开(公告)号：US20190064810A1

公开(公告)日：2019-02-28

申请号：US15688429

申请日：2017-08-28

Applicant: GM Global Technology Operations LLC

Inventor： Shengbing Jiang ,  Mutasim A. Salman ,  Yilu Zhang ,  Shiming Duan

IPC: G05D1/00 ,  G06K9/00

CPC classification number: G05D1/0088 ,  G05D1/0055 ,  G06K9/00201 ,  G06K9/00791 ,  G06K9/6262

Abstract: A perception module of a spatial monitoring system to monitor and characterize a spatial environment proximal to an autonomous vehicle is described. A method for evaluating the perception module includes capturing and storing a plurality of frames of data associated with a driving scenario for the autonomous vehicle, and executing the perception module to determine an actual spatial environment for the driving scenario, wherein the actual spatial environment for the driving scenario is stored in the controller. The perception module is executed to determine an estimated spatial environment for the driving scenario based upon the stored frames of data associated with the driving scenario, and the estimated spatial environment is compared to the actual spatial environment for the driving scenario. A first performance index for the perception module is determined based upon the comparing, and a fault can be detected.

公开(公告)号：US20180196106A1

公开(公告)日：2018-07-12

申请号：US15399947

申请日：2017-01-06

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Chaitanya Sankavaram ,  Xinyu Du ,  Shengbing Jiang ,  Yilu Zhang

IPC: G01R31/36 ,  G07C5/00 ,  G07C5/08 ,  F02N11/14 ,  G01R31/00

CPC classification number: G01R31/3624 ,  F02N11/14 ,  G01R31/007 ,  G01R31/3651 ,  G01R31/3679 ,  G01R31/3693 ,  G07C5/008 ,  G07C5/0808

Abstract: A vehicle including an internal combustion engine, a DC power source and a controller are described. The internal combustion engine includes an engine starting system and an electrical charging system. A method for monitoring the DC power source includes determining a State of Charge (SOC) for the DC power source. Upon detecting that the SOC is less than a threshold SOC, routines are executed in the controller to evaluate a plurality of potential root causes associated with the low SOC. At least one of the potential root causes associated with the low SOC may be identified as a candidate root cause, and a fault probability for each of the candidate root causes is determined. One of the candidate root causes is determined to be a final root cause based upon the fault probabilities associated with the candidate root causes.

公开(公告)号：US09836894B2

公开(公告)日：2017-12-05

申请号：US14958020

申请日：2015-12-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu Du ,  Yilu Zhang ,  Youssef A. Ghoneim ,  Shengbing Jiang

IPC: G06F11/30 ,  G07C5/00 ,  G06F17/50 ,  G07C5/08 ,  H04L29/08

CPC classification number: G07C5/008 ,  G06F11/36 ,  G06F17/5009 ,  G06F2217/76 ,  G07C5/0808 ,  H04L67/12

Abstract: A distributed vehicle health management system includes a vehicle-based diagnostic processor executing diagnostic routines in a vehicle. The diagnostic routines generate diagnostic data. A processor-based device executes advanced vehicle health management routines. The processor-based device determines a state of health of a component as a function of the diagnostic data. A telematics device communicates at least one of state of health data and diagnostic data from the vehicle. A remote entity disposed remotely from the vehicle. The remote entity receives data via the telematics device, the data being a selective subset of data output from at least one of the vehicle-based processor and processor-based device. The remote entity executes calibration routines as a function of the data received by the vehicle for calibrating at least one of the diagnostic routines and health management routines.

公开(公告)号：US09189896B2

公开(公告)日：2015-11-17

申请号：US14097543

申请日：2013-12-05

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Youssef A. Ghoneim ,  Mutasim A. Salman ,  Mark N. Howell ,  Yilu Zhang ,  Scott W. Otterson

IPC: G07C5/00

CPC classification number: G07C5/008

Abstract: Methods and systems are provided for vehicular communications. The systems include a server and a controller in a vehicle. The controller is configured to receive data from vehicular components and transmit the data to the remote server. In a normal mode, the data is transmitted in accordance with a normal frequency of events, while in an abnormal mode, the data is transmitted in accordance with an abnormal frequency of events. The abnormal frequency is different from the normal frequency. The abnormal mode is set in response to an event trigger denoting a fault of at least one component.

Abstract translation: 为车辆通讯提供了方法和系统。 这些系统包括车辆中的服务器和控制器。 控制器被配置为从车辆部件接收数据并将数据发送到远程服务器。 在正常模式下，根据事件的正常频率发送数据，而在异常模式下，根据事件的异常频率来发送数据。 异常频率与正常频率不同。 响应于表示至少一个组件的故障的事件触发来设置异常模式。

公开(公告)号：US09152526B2

公开(公告)日：2015-10-06

申请号：US13679849

申请日：2012-11-16

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Shuqing Zeng ,  Yilu Zhang ,  Bakhtiar Brian Litkouhi ,  Mutasim A. Salman

IPC: G06F11/30

CPC classification number: G06F11/3055 ,  G01S7/4026 ,  G01S13/726 ,  G01S13/867 ,  G01S13/931 ,  G01S2007/4039 ,  G01S2013/9375 ,  G05B23/0221

Abstract: A method and system for estimating the state of health of an object sensing fusion system. Target data from a vision system and a radar system, which are used by an object sensing fusion system, are also stored in a context queue. The context queue maintains the vision and radar target data for a sequence of many frames covering a sliding window of time. The target data from the context queue are used to compute matching scores, which are indicative of how well vision targets correlate with radar targets, and vice versa. The matching scores are computed within individual frames of vision and radar data, and across a sequence of multiple frames. The matching scores are used to assess the state of health of the object sensing fusion system. If the fusion system state of health is below a certain threshold, one or more faulty sensors are identified.

Abstract translation: 一种用于估计物体感测融合系统的健康状况的方法和系统。 由对象感测融合系统使用的来自视觉系统和雷达系统的目标数据也存储在上下文队列中。 上下文队列维护覆盖时间滑动窗口的许多帧的序列的视觉和雷达目标数据。 来自上下文队列的目标数据用于计算匹配分数，这表示视觉目标与雷达目标相关的程度如何，反之亦然。 匹配得分是在单独的视觉和雷达数据帧内以及跨多个帧的序列计算的。 匹配分数用于评估物体感知融合系统的健康状况。 如果融合系统的健康状况低于某个阈值，则识别出一个或多个故障传感器。

公开(公告)号：US09108524B2

公开(公告)日：2015-08-18

申请号：US14059751

申请日：2013-10-22

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Yilu Zhang ,  Xinyu Du ,  Mutasim A. Salman ,  Shuo Huang

IPC: B60L11/18 ,  B60W20/00

CPC classification number: B60L11/1861 ,  B60L2240/545 ,  B60L2240/547 ,  B60L2240/549 ,  B60L2250/16 ,  B60W20/00 ,  G01R31/3606 ,  G01R31/361 ,  G01R31/362 ,  G01R31/3648 ,  Y02T10/7005 ,  Y02T10/7044 ,  Y02T10/705

Abstract: An embodiment contemplates a method of determining a state-of-charge of a battery for a vehicle. (a) An OCV is measured for a current vehicle ignition startup after ignition off for at least eight hours. (b) An SOCOCV is determined for the current vehicle ignition startup. (c) An SOCOCV—est is determined for a current vehicle ignition startup. (d) A determination is made whether the difference in the SOCOCV for the current startup and the SOCOCVest for the current startup is less than a predefined error bound using. Steps (a)-(d) is performed in response to the difference being greater than the predefined error; otherwise, determining an ignition-off current for the current vehicle ignition startup as a function of the SOCOCV of the current vehicle ignition startup and previous vehicle ignition startup, and a SOC based on current integration over time. Determining an SOCest of the current vehicle ignition startup using the processor.

Abstract translation: 实施例考虑了确定车辆电池的充电状态的方法。 （a）在点火关闭至少8小时后，测量当前车辆点火启动的OCV。 （b）确定当前车辆点火启动时的SOCOCV。 （c）确定当前车辆点火启动的SOCOCV-est。 （d）确定当前启动的SOCOCV和当前启动的SOCOCVest之间的差是否小于使用的预定义误差限制。 响应于该差大于预定义的误差来执行步骤（a） - （d） 否则，根据当前车辆点火启动和先前车辆点火启动的SOCOCV以及基于当前集成度的SOC，确定当前车辆点火启动的点火开关电流。 使用处理器确定当前车辆点火启动的SOCest。