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公开(公告)号：US11865932B2
公开(公告)日：2024-01-09
申请号：US17839736
申请日：2022-06-14
Applicant: GM Global Technology Operations LLC
Inventor： Dongxu Li , Lei Hao , Chunhao J. Lee , Suresh Gopalakrishnan , Junfeng Zhao
CPC classification number: B60L53/20 , B60L1/02 , H02M3/155 , B60L2210/10
Abstract: Examples described herein provide a method that includes determining whether a vehicle is operating in a first high voltage mode or a second high voltage mode. The method further includes, responsive to determining that the vehicle is operating in the first high voltage mode, providing electric power to an electric motor at a first high voltage and providing electric power to an auxiliary device at a second high voltage that is different than the first high voltage. The method further includes, responsive to determining that the vehicle is operating in the second high voltage mode, providing electric power to the electric motor at the second high voltage and providing electric power to the auxiliary device at the second high voltage.
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公开(公告)号：US20230366943A1
公开(公告)日：2023-11-16
申请号：US17743524
申请日：2022-05-13
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yue-Yun Wang , Junfeng Zhao
IPC: G01R31/3842 , H01M10/42 , H01M10/0525 , H01M10/054 , G01R31/36
CPC classification number: G01R31/3842 , H01M10/4257 , H01M10/0525 , H01M10/054 , G01R31/3648
Abstract: A mixed chemistry battery including a sensing cell having a first chemistry, a battery cell having a second chemistry that is different than the first chemistry, where the battery cell is connected to the sensing cell in series. The mixed chemistry battery also includes a battery monitoring system configured to monitor a current flow through the sensing cell and the battery cell and to calculate a state-of-charge (SOC) of the sensing cell. The battery monitoring system is further configured to calculate a SOC of the battery cell based at least in part on the SOC of the sensing cell.
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13.发明授权公开(公告)号：US11370435B2
公开(公告)日：2022-06-28
申请号：US16559738
申请日：2019-09-04
Inventor： Junfeng Zhao , Chen-Fang Chang , Bharatkumar Hegde , Insu Chang , Ragunathan Rajkumar
Abstract: A method for controlling automated driving operations of a vehicle includes determining vehicle origin and destination data, and generating a graphical representation of a road network with multiple candidate routes between the vehicle's origin and destination. Road-level data, including speed, turn angle, and/or gradient data, is received for each candidate route, and respective total energy uses are estimated for the vehicle to traverse across the candidate routes. Multiple candidate driving strategies, each having respective speed and acceleration profiles, are determined for the candidate route with the lowest estimated total energy use. An optimal candidate driving strategy is selected through a cost evaluation of the associated speed and acceleration profiles and forward movement simulations of the vehicle over a prediction horizon. Command signals are transmitted to the vehicle's steering and/or powertrain systems to execute control operations based on the optimal driving strategy and the candidate route with the lowest energy use.
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14.发明申请公开(公告)号：US20200324766A1
公开(公告)日：2020-10-15
申请号：US16380275
申请日：2019-04-10
Applicant: GM Global Technology Operations LLC
Inventor： Junfeng Zhao , Yiran Hu , Dongxu Li , Steven E. Muldoon , Chen-Fang Chang
Abstract: Operating a subject vehicle equipped with an adaptive cruise control system includes setting initial states for control parameters, including setting a desired vehicle speed and determining a desired following gap range, wherein the desired following gap range is associated with a lead vehicle. Operation is controlled via the adaptive cruise control system based upon the initial states for the control parameters. Operation also includes monitoring for presence of the lead vehicle. Upon detecting presence of the lead vehicle, an actual following gap is determined between the subject vehicle and the lead vehicle, and the initial states of the control parameters associated with the adaptive cruise control system are adjusted based upon the actual following gap between the subject vehicle and the lead vehicle, and the desired following gap range. Operation is controlled via the adaptive cruise control system based upon the adjusted initial states of the control parameters.
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公开(公告)号：US10759298B2
公开(公告)日：2020-09-01
申请号：US16116129
申请日：2018-08-29
Applicant: GM Global Technology Operations LLC
Inventor： Yue-Yun Wang , Junfeng Zhao , Suresh Gopalakrishnan , Yiran Hu , Norman K. Bucknor
Abstract: Presented are intelligent vehicle systems and control logic for predictive charge planning and powertrain control of electric-drive vehicles, methods for manufacturing/operating such systems, and electric-drive vehicles with smart charge planning and powertrain control capabilities. Systems and methods of AI-based predictive charge planning for smart electric vehicles use machine-learning (ML) driver models that draws on available traffic, location, and roadway map information to estimate vehicle speed and propulsion torque requirements to derive a total energy consumption for a given trip. Systems and methods of AI-based predictive powertrain control for smart hybrid vehicles use ML driver models with deep learning techniques to derive a drive cycle profile defined by a preview route with available traffic, geopositional, geospatial, and map data. ML-generated driver models are developed with collected data to replicate driver behavior and predict the drive cycle profile, including predicted vehicle speed, propulsion torque, and accelerator/brake pedal positions for a preview route.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20200070679A1
公开(公告)日：2020-03-05
申请号：US16116129
申请日：2018-08-29
Applicant: GM Global Technology Operations LLC
Inventor： Yue-Yun Wang , Junfeng Zhao , Suresh Gopalakrishnan , Yiran HU , Norman K. Bucknor
Abstract: Presented are intelligent vehicle systems and control logic for predictive charge planning and powertrain control of electric-drive vehicles, methods for manufacturing/operating such systems, and electric-drive vehicles with smart charge planning and powertrain control capabilities. Systems and methods of AI-based predictive charge planning for smart electric vehicles use machine-learning (ML) driver models that draws on available traffic, location, and roadway map information to estimate vehicle speed and propulsion torque requirements to derive a total energy consumption for a given trip. Systems and methods of AI-based predictive powertrain control for smart hybrid vehicles use ML driver models with deep learning techniques to derive a drive cycle profile defined by a preview route with available traffic, geopositional, geospatial, and map data. ML-generated driver models are developed with collected data to replicate driver behavior and predict the drive cycle profile, including predicted vehicle speed, propulsion torque, and accelerator/brake pedal positions for a preview route.
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公开(公告)号：US11548527B2
公开(公告)日：2023-01-10
申请号：US16884198
申请日：2020-05-27
Inventor： Bharatkumar Hegde , Junfeng Zhao , Lung En Jan , Chen-fang Chang , Ragunathan Rajkumar
IPC: B60W60/00 , B60W40/105 , B60W30/16 , B60W40/072 , B60W40/13 , F02D9/08 , F02D41/30 , F02P5/04 , B60W10/06 , B60W40/08
Abstract: A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.
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18.发明授权公开(公告)号：US11167759B2
公开(公告)日：2021-11-09
申请号：US16380275
申请日：2019-04-10
Applicant: GM Global Technology Operations LLC
Inventor： Junfeng Zhao , Yiran Hu , Dongxu Li , Steven E. Muldoon , Chen-Fang Chang
Abstract: Operating a subject vehicle equipped with an adaptive cruise control system includes setting initial states for control parameters, including setting a desired vehicle speed and determining a desired following gap range, wherein the desired following gap range is associated with a lead vehicle. Operation is controlled via the adaptive cruise control system based upon the initial states for the control parameters. Operation also includes monitoring for presence of the lead vehicle. Upon detecting presence of the lead vehicle, an actual following gap is determined between the subject vehicle and the lead vehicle, and the initial states of the control parameters associated with the adaptive cruise control system are adjusted based upon the actual following gap between the subject vehicle and the lead vehicle, and the desired following gap range. Operation is controlled via the adaptive cruise control system based upon the adjusted initial states of the control parameters.
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公开(公告)号：US10746558B2
公开(公告)日：2020-08-18
申请号：US15880918
申请日：2018-01-26
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Steven E. Muldoon , Yiran Hu , Junfeng Zhao , Vivek Vijaya Kumar
Abstract: A system and method for routing based on a predicted connectivity quality is disclosed. The method includes receiving, by a controller, map information corresponding to a geographical area. The method also includes receiving, by the controller, wireless connectivity information corresponding to the geographical area. The method also includes generating output data of at least one route between a starting location and a destination location within the geographical area. The generating is based on the wireless connectivity information.
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20.发明申请公开(公告)号：US20190128233A1
公开(公告)日：2019-05-02
申请号：US15796019
申请日：2017-10-27
Applicant: GM Global Technology Operations LLC
Inventor： Junfeng Zhao , Jun-mo Kang , Yiran Hu
Abstract: Disclosed are model-based combustion timing systems and control logic for engine assemblies, methods for making/operating such engine assemblies, and motor vehicles with spark-ignited engine assemblies implementing model-based combustion timing. A method for controlling torque output of an engine assembly includes receiving a requested torque demand for the engine, and determining a current fuel command and valve timing for the engine's power cylinder(s). A first math model is used to determine a desired CA50 based on the requested torque demand, a power cylinder indicated mean effective pressure (IMEP), an expander cylinder IMEP, and the current fuel command/valve timing. A second math model is used to determine a maximum brake torque (MBT) CA50 based on power cylinder and expander cylinder IMEPs, and current fuel command/valve timing. An engine control unit determines a final spark timing based on a correlation between the desired CA50 and MBT CA50, modified by a spark timing gain.
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