公开(公告)号：US20200372731A1

公开(公告)日：2020-11-26

申请号：US16418587

申请日：2019-05-21

Applicant: GM Global Technology Operations LLC

Inventor： Steven W. Holland ,  Varsha K. Sadekar ,  Joshua J. Sanchez

IPC: G07C5/08 ,  B60W50/02 ,  G05B23/02

Abstract: A method of diagnosing a root cause for an exhibited vehicle failure, comprises initiating a vehicle health management (VHM) algorithm, repeatedly monitoring, at a specified time interval, the state of health (SOH) for at least one vehicle component, wherein the SOH for the at least one vehicle component is one of Green (normal operation), Yellow, and Red, calculating a number of consecutive Green SOH results for the at least one vehicle component, and providing an indication of likelihood that the at least one vehicle component is not a root cause of the exhibited vehicle failure based on the number of consecutive Green SOH results for the at least one vehicle component.

公开(公告)号：US20210074087A1

公开(公告)日：2021-03-11

申请号：US16561711

申请日：2019-09-05

Applicant: GM Global Technology Operations LLC

Inventor： Shengbing Jiang ,  Xinyu Du ,  Yilu Zhang ,  VARSHA K. SADEKAR ,  Joshua J. Sanchez ,  Paul E. Krajewski

IPC: G07C5/08

Abstract: A method and system of diagnosing and suggesting least probable faults for an exhibited vehicle failure. The method includes initiating a vehicle health management (VHM) algorithm to monitor a state of health (SOH) for at least one vehicle component at each vehicle operating event over a predetermined time period. The VHM algorithm determines at least one of a Green SOH, a Yellow SOH, and a Red SOH designation with a confidence level for the at least one vehicle component; calculating a number of Green SOH designations (Ncalculated) over the predetermined time period; and upon an exhibited vehicle failure, providing a least probable cause indication for the at least one component when a set of conditions are met. The set of conditions includes (i) Ncalculated is equal to or greater than a predetermined number of Green SOH designations and (ii) no Yellow SOH and Red SOH designations are present.

公开(公告)号：US20220169264A1

公开(公告)日：2022-06-02

申请号：US17106451

申请日：2020-11-30

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu DU ,  Shengbing Jiang ,  Yilu Zhang ,  Varsha K. Sadekar ,  Joshua J. Sanchez ,  Eric J. Baur

IPC: B60W50/02 ,  B60W50/14 ,  G07C5/00 ,  G07C5/08 ,  G06N5/00

Abstract: A first network device includes a transceiver, a memory and a control module. The transceiver receives an integrated model from a second network device that is separate from the first network device. The memory stores the integrated model and diagnostic trouble code data, most probable cause data, and least probable cause data, which have corresponding cause of issue indications for an issue of a vehicle. The control module while executing the integrated model: compares the cause of issue indications to determine whether the cause of issue indications are consistent such that a same cause of issue is indicated; in response to the cause of issue indications being consistent, displays the same cause of issue, and in response to the cause of issue indications being inconsistent and based on a set of conditions, displays a portion of health related information while refraining from displaying another portion of the health related information.

公开(公告)号：US11100732B2

公开(公告)日：2021-08-24

申请号：US16418587

申请日：2019-05-21

Applicant: GM Global Technology Operations LLC

Inventor： Steven W. Holland ,  Varsha K. Sadekar ,  Joshua J. Sanchez

IPC: G07C5/08 ,  G05B23/02 ,  B60W50/02

Abstract: A method of diagnosing a root cause for an exhibited vehicle failure, comprises initiating a vehicle health management (VHM) algorithm, repeatedly monitoring, at a specified time interval, the state of health (SOH) for at least one vehicle component, wherein the SOH for the at least one vehicle component is one of Green (normal operation), Yellow, and Red, calculating a number of consecutive Green SOH results for the at least one vehicle component, and providing an indication of likelihood that the at least one vehicle component is not a root cause of the exhibited vehicle failure based on the number of consecutive Green SOH results for the at least one vehicle component.

公开(公告)号：US20250083561A1

公开(公告)日：2025-03-13

申请号：US18244433

申请日：2023-09-11

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Joshua J. Sanchez ,  Trupti R. KALE ,  Carl J. HERING ,  Ibnul Farabi KHAN ,  Philip Arthur DOOLEY ,  John HAASE

IPC: B60L58/12 ,  B60L3/00 ,  B60L58/20

Abstract: A drain detection system for a vehicle includes: a sensor configured to detect parameters of a low-voltage battery of the vehicle and collect battery data including the parameters when the vehicle is OFF; a telematics module; and a control module configured to i) receive the battery data from the sensor when the vehicle is ON, ii) transmit via the telematics module the battery data to a network device, which is remotely located from the vehicle, iii) receive an alert message from the network device indicative of a parasitic drain on the low-voltage battery, and iv) perform a first countermeasure in response to the alert message.

公开(公告)号：US11645880B2

公开(公告)日：2023-05-09

申请号：US17148643

申请日：2021-01-14

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu Du ,  Zhongyu Yang ,  Joshua J. Sanchez ,  Kevin M. Corr ,  Yilu Zhang ,  Mateusz M. Nowak

IPC: G07C5/08

CPC classification number: G07C5/0808 ,  G07C5/0816

Abstract: A controller processes data from one or more sensors of a subsystem of a vehicle. The processing includes smoothing the data and calculating a mean of the data. The controller identifies a transition point in the processed data where a moving average of the data is less than the mean by a predetermined amount indicating a trend. The controller selects a segment of the processed data subsequent to the transition point, detects the trend in the segment using regression, and extrapolates the detected trend to reach a predetermined fault threshold. The controller predicts a failure of the subsystem based on a slope of the extrapolated trend and provides an indication of the prediction based on the slope to schedule a service for the subsystem.

公开(公告)号：US11904875B2

公开(公告)日：2024-02-20

申请号：US16595738

申请日：2019-10-08

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu Du ,  Atul Nagose ,  Joshua J. Sanchez ,  Paul E. Krajewski

IPC: G01M17/00 ,  B60W50/04 ,  G06N20/00 ,  G07C5/08 ,  G06F30/20 ,  B60W50/00

CPC classification number: B60W50/04 ,  G06F30/20 ,  G06N20/00 ,  G07C5/085 ,  G07C5/0808 ,  B60W2050/0028

Abstract: A system includes an assessment module and a training module. The assessment module is configured to receive event data about an event associated with a subsystem of a vehicle. The assessment module is configured to determine deviations between reference data for the subsystem indicating normal operation of the subsystem and portions of the event data that precede and follow the event. The assessment module is configured to determine whether the event data indicates a fault associated with the subsystem by comparing the deviations to a threshold deviation. The training module is configured to update a model trained to identify faults in vehicles to identify the event as a fault associated with the subsystem of the vehicle based on the event data in response to the deviations indicating a fault associated with the subsystem.

公开(公告)号：US11794758B2

公开(公告)日：2023-10-24

申请号：US17106451

申请日：2020-11-30

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu Du ,  Shengbing Jiang ,  Yilu Zhang ,  Varsha K. Sadekar ,  Joshua J. Sanchez ,  Eric J. Baur

IPC: B60W50/02 ,  B60W50/14 ,  G07C5/00 ,  G07C5/08 ,  G06N5/01

CPC classification number: B60W50/0205 ,  B60W50/14 ,  G06N5/01 ,  G07C5/006 ,  G07C5/0825 ,  B60W2050/021 ,  B60W2050/146 ,  B60W2556/10 ,  B60W2556/20

Abstract: A first network device includes a transceiver, a memory and a control module. The transceiver receives an integrated model from a second network device that is separate from the first network device. The memory stores the integrated model and diagnostic trouble code data, most probable cause data, and least probable cause data, which have corresponding cause of issue indications for an issue of a vehicle. The control module while executing the integrated model: compares the cause of issue indications to determine whether the cause of issue indications are consistent such that a same cause of issue is indicated; in response to the cause of issue indications being consistent, displays the same cause of issue, and in response to the cause of issue indications being inconsistent and based on a set of conditions, displays a portion of health related information while refraining from displaying another portion of the health related information.

公开(公告)号：US20190036321A1

公开(公告)日：2019-01-31

申请号：US15660099

申请日：2017-07-26

Applicant: GM Global Technology Operations LLC

Inventor： Yao Hu ,  Xinyu Du ,  Joshua J. Sanchez ,  Paul E. Krajewski

IPC: H02H1/06 ,  H02H9/04 ,  B60R16/03

Abstract: A method for mitigating an electrical actuator fault in a system containing multiple actuators includes: applying multiple predetermined conditions to each of multiple actuators in a vehicle system to identify when at least one of the multiple actuators is in a faulted condition; and increasing an input voltage to all of the actuators to increase an output of the at least one of the multiple actuators in the faulted condition to mitigate the faulted condition.