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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
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.
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公开(公告)号：US10026241B1
公开(公告)日：2018-07-17
申请号：US15685304
申请日：2017-08-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Chaitanya Sankavaram , Shiming Duan , Layne Wiggins
Abstract: An engine airflow management system includes an inlet portion to receive ambient air and a mass airflow (MAF) sensor to sense mass flow rate of air passed through the inlet portion. The airflow management system includes a throttle body to selectively restrict airflow and a throttle position sensor (TPS) to sense an opening value of the throttle body. The airflow management system includes an intake manifold in fluid connection with the throttle body configured to direct airflow to a number of combustion cylinders. A manifold air pressure (MAP) sensor detects air pressure at the intake manifold. A controller is programmed to monitor signals from each of the MAF sensor, TPS, and the MAP sensor and generate a residual error value based on a difference between a model-based value and a corresponding monitored signal. A response action is based on a trend of at least two residual error values.
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公开(公告)号：US12005808B2
公开(公告)日：2024-06-11
申请号：US17318949
申请日：2021-05-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shiming Duan , Yiran Hu , Shifang Li , Brent S. Gagas
CPC classification number: B60L58/16 , B60L58/12 , B60L2240/423 , B60L2240/429 , B60L2240/547 , B60L2240/549 , B60L2260/167
Abstract: A diagnostic system for a vehicle includes a vehicle system configured to operate the vehicle in a normal operating mode and a boosted mode. In the boosted mode, the vehicle system increases at least one of a maximum motor torque, a maximum engine torque, and a maximum battery power available to the vehicle. A wear estimation module is configured to collect wear data associated with a component of the vehicle while being operated in the boosted mode, estimate, based on the collected wear data, wear of the component caused by being operated in the boosted mode, and generate a prediction of a remaining lifetime of the component based on the estimated wear of the component.
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公开(公告)号：US11981228B2
公开(公告)日：2024-05-14
申请号：US17698204
申请日：2022-03-18
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shiming Duan , Chaitanya Sankavaram , Xiaomeng Peng
IPC: B60L58/16 , G01R31/367 , G01R31/392
CPC classification number: B60L58/16 , G01R31/367 , G01R31/392
Abstract: A system for monitoring a battery assembly includes a processing device configured to receive measurement data from a plurality of battery components, and input the measurement data to a battery model configured to determine parametric data. Based on the battery model, the processing device is configured to acquire the parametric data, extract statistical information based on at least one parameter of each battery component, and input the statistical information to a failure identification module that includes a first classifier configured to determine whether the battery assembly is in a failure condition based on the statistical information. The processing device is configured to output a health indicator having a first value indicating that the battery assembly is healthy based on first classifier determining that the battery assembly is in the healthy condition, and a faulty value based on the first classifier determining that the battery assembly is in a failure condition.
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公开(公告)号：US20240046715A1
公开(公告)日：2024-02-08
申请号：US17881838
申请日：2022-08-05
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Rasoul Salehi , Sunil Prasanth Suseelan , Shiming Duan
IPC: G07C5/08
CPC classification number: G07C5/0816 , G07C5/0808
Abstract: A method of diagnosing a malfunction includes receiving a signal from a component of a vehicle system, the received signal indicative of a symptom of a malfunction in the vehicle system, and acquiring a set of test signals. The method also includes comparing the received signal to each test signal to determine at least one observability distribution, the observability distribution including an observability value for each test signal, and determining a failure mode corresponding to the received signal based on the observability distribution. The determined failure mode represents a root cause of the symptom.
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Patent Agency Ranking
36.发明公开公开(公告)号：US20230282033A1
公开(公告)日：2023-09-07
申请号：US17687221
申请日：2022-03-04
Inventor： Shiming Duan , Yingjie Cai , Paul R. Hozak , Fernando Ferreira Pio , Gregory Sapick , Xiaomeng Peng
IPC: G07C5/00
CPC classification number: G07C5/006
Abstract: A system for validating diagnostic trouble codes (DTCs) in vehicles includes a processor and a memory storing instructions which when executed by the processor configure the processor to receive DTC data from the vehicles, filter the DTC data using predefined rules, generate one or more metrics based on the filtered DTC data, and determining based on the metrics whether the DTCs meet specifications for the DTCs.
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公开(公告)号：US11479148B2
公开(公告)日：2022-10-25
申请号：US16535642
申请日：2019-08-08
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yasen Hu , Kausalya Singuru , Shiming Duan , Yao Hu , Nicholas W. Pinto , Bradley R. Frieberg
Abstract: A system and method for personalization of adjustable features of a vehicle. The system includes a processor and an actuator. The processor detectors key points of a person from a two-dimensional image and predicts a pose of the person. The processor translates a respective position of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system based in part on the pose and measurements of distances between the key points. The processor determines a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system. The processor causes an actuator to adjust the adjustable feature to conform to the baseline configuration.
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公开(公告)号：US11131573B2
公开(公告)日：2021-09-28
申请号：US15829366
申请日：2017-12-01
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shiming Duan , Yao Hu , Mutasim A. Salman , Paul E. Krajewski
Abstract: Methods and apparatus are provided for determining an offset detection for a fuel level sensor fault. The method includes receiving an electrical resistance reading from a potentiometer of a fuel level sensor and generating an estimated fuel level based on an established fuel usage table that references the electrical resistance reading. The fuel level sensitivity is calculated based on the change in electrical resistance readings divided by the change in the estimated fuel levels (R/F). The fuel level sensitivity is compared to a predetermined sensitivity curve to determine any necessary offset to the electrical resistance reading. Finally, the fuel usage table is updated with the offset to the electrical resistance reading.
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公开(公告)号：US11120646B2
公开(公告)日：2021-09-14
申请号：US16420687
申请日：2019-05-23
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shiming Duan , Chaitanya Sankavaram , Azeem Sarwar , Ibrahim Haskara , Chunhao J. Lee , Chen-fang Chang
Abstract: A fault diagnostic system includes: memory including a fault model, the fault model including: a plurality of failure modes of a vehicle; and symptoms respectively associated with each of the failure modes; an updating module configured to: based on a data set, determine a new failure mode that is not already included in the fault model and new symptoms indicative of the occurrence of the new failure mode; modify the fault model by: adding the new failure mode to the fault model; and adding the new symptoms to the fault model in association with the new failure mode; and re-save the fault model in the memory.
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公开(公告)号：US10922906B2
公开(公告)日：2021-02-16
申请号：US16367827
申请日：2019-03-28
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yue-Yun Wang , Ibrahim Haskara , David Sun , Yusheng Zou , Shiming Duan , Chi-kuan Kao , Xiangxing Lu
Abstract: A system for monitoring operation of a vehicle includes a processing device including an interface configured to receive measurement data from sensing devices configured to measure parameters of a vehicle system. The processing device is configured to receive measurement data from each of the plurality of sensing devices, and in response to detection of a malfunction in the vehicle, input at least a subset of the measurement data to a machine learning classifier associated with a vehicle subsystem, the classifier configured to define a class associated with normal operation of the vehicle subsystem. The processing device is also configured to determine whether the subset of the measurement data belongs to the class, and based on at least a selected amount of the subset of the measurement data being outside of the class, output a fault indication, the fault indication identifying the vehicle subsystem as having a contribution to the malfunction.
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