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公开(公告)号：US20220324266A1
公开(公告)日：2022-10-13
申请号：US17226343
申请日：2021-04-09
Inventor： Mansoor Alghooneh , Joseph K. Moore , Christopher J. Mettrick , Gregory P. Kakert , Amir Khajepour , Amin Habibnejad Korayem , Yechen Qin , Ehsan Hashemi
IPC: B60C11/24
Abstract: A method for determining a tire tread wear estimation of a tire includes receiving, by a controller, a direct tire tread wear measurement, when available, performing an indirect tire tread wear estimation, performing a data fusion of the indirect tire tread wear estimation with the direct tire tread wear measurement when available, estimating a percentage tire life remaining and a mileage to end of tire life, and estimating a refined tire tread wear calibration coefficient for performing future indirect tire tread wear estimations.
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公开(公告)号：US10202125B2
公开(公告)日：2019-02-12
申请号：US15486107
申请日：2017-04-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Seyedalireza Kasaiezadeh Mahabadi , Ehsan Hashemi , Bakhtiar B. Litkouhi , Nikolai K. Moshchuk , Shih-Ken Chen
IPC: B60W50/02 , B60W40/109 , B60W40/114 , B60W40/101 , B60W40/10 , B60W40/13 , B60W50/00
Abstract: Methods and systems are provided for an improved system and method for validating vehicle lateral velocity estimation. The provided system and method employ an efficient validation algorithm to detect lateral velocity estimation faults. The method and system are robust to road uncertainties and do not require redundant estimations or measurements. The provided system and method offer a technological solution for real time validation of lateral velocity estimation using already existing vehicle sensors, and are independent of (i) road condition information, (ii) wheel torque information, (iii) tire model information, and (iv) tire wear information.
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公开(公告)号：US11945265B2
公开(公告)日：2024-04-02
申请号：US17226343
申请日：2021-04-09
Inventor： Mansoor Alghooneh , Joseph K. Moore , Christopher J. Mettrick , Gregory P. Kakert , Amir Khajepour , Amin Habibnejad Korayem , Yechen Qin , Ehsan Hashemi
IPC: B60C11/24
CPC classification number: B60C11/246
Abstract: A method for determining a tire tread wear estimation of a tire includes receiving, by a controller, a direct tire tread wear measurement, when available, performing an indirect tire tread wear estimation, performing a data fusion of the indirect tire tread wear estimation with the direct tire tread wear measurement when available, estimating a percentage tire life remaining and a mileage to end of tire life, and estimating a refined tire tread wear calibration coefficient for performing future indirect tire tread wear estimations.
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公开(公告)号：US10040460B2
公开(公告)日：2018-08-07
申请号：US15223817
申请日：2016-07-29
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： SeyedAlireza Kasaiezadeh Mahabadi , Ehsan Hashemi , Amir Khajepour , Shih-ken Chen , Bakhtiar B. Litkouhi
IPC: B60W40/105 , B60W30/14 , B60T8/172 , B60W40/107 , B60W40/101 , B60L3/10 , B60W40/114 , B60T8/1755 , G06F19/00
Abstract: A system and method for computationally estimating a directional velocity of a vehicle in real time under different configurations and road conditions for use in vehicle antilock braking, adaptive cruise control, and traction and stability control by correcting measured accelerations with respect to the estimated road angles. A time window is used to provide reliable mapped acceleration for the transient regions and maneuvers on gravel surfaces with high fluctuations in the acceleration measurement. Longitudinal and lateral accelerations are mapped from the vehicle's CG into the tire coordinates using the vehicle's geometry, lateral velocity, yaw rate, and the steering wheel angle to generate system matrices of the combined kinematic-force estimation structure.
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公开(公告)号：US12084064B2
公开(公告)日：2024-09-10
申请号：US17933554
申请日：2022-09-20
Inventor： Amir Khajepour , Amin Habibnejad Korayem , Ehsan Hashemi , Qingrong Zhao , SeyedAlireza Kasaiezadeh Mahabadi , Yechen Qin
CPC classification number: B60W40/10 , B60W40/13 , G07C5/085 , B60W2040/1315
Abstract: A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20200317198A1
公开(公告)日：2020-10-08
申请号：US16374160
申请日：2019-04-03
Inventor： Ehsan Hashemi , SeyedAlireza Kasaiezadeh Mahabadi , Amir Khajepour , Xueying Kang , Jin-Jae Chen , Hualin Tan , James H. Holbrook , Bakhtiar B. Litkouhi
IPC: B60W30/18 , B60W40/068 , B60W50/00
Abstract: A method for estimation of a vehicle tire force includes: receiving, by a controller of a vehicle, a measured vehicle acceleration of the vehicle; receiving, by the controller, a measured wheel speed and a measured yaw rate of the vehicle; forming, by the controller, inertia matrices based on an inertia of rotating components of the vehicle; calculating torques at corners of the vehicle using the inertia matrices; estimating tire forces of the vehicle based on the measured vehicle acceleration, the measured wheel speed, and the inertia matrices; and controlling, by the controller, the vehicle, based on the plurality of estimated longitudinal and lateral tire forces.
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公开(公告)号：US20180029603A1
公开(公告)日：2018-02-01
申请号：US15223817
申请日：2016-07-29
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： SeyedAlireza Kasaiezadeh Mahabadi , Ehsan Hashemi , Amir Khajepour , Shih-ken Chen , Bakhtiar B. Litkouhi
IPC: B60W40/105 , B60W40/101 , B60W40/107 , B60W30/14 , B60T8/172
CPC classification number: B60W40/105 , B60L3/102 , B60L3/108 , B60T8/172 , B60T8/1755 , B60T2201/16 , B60T2250/04 , B60W30/14 , B60W40/101 , B60W40/107 , B60W40/114 , B60W2520/28 , G06F19/00
Abstract: A system and method for computationally estimating a directional velocity of a vehicle in real time under different configurations and road conditions for use in vehicle antilock braking, adaptive cruise control, and traction and stability control by correcting measured accelerations with respect to the estimated road angles. A time window is used to provide reliable mapped acceleration for the transient regions and maneuvers on gravel surfaces with high fluctuations in the acceleration measurement. Longitudinal and lateral accelerations are mapped from the vehicle's CG into the tire coordinates using the vehicle's geometry, lateral velocity, yaw rate, and the steering wheel angle to generate system matrices of the combined kinematic-force estimation structure.
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公开(公告)号：US20240092371A1
公开(公告)日：2024-03-21
申请号：US17933554
申请日：2022-09-20
Inventor： Amir Khajepour , Amin Habibnejad Korayem , Ehsan Hashemi , Qingrong Zhao , SeyedAlireza Kasaiezadeh Mahabadi , Yechen Qin
CPC classification number: B60W40/10 , B60W40/13 , G07C5/085 , B60W2040/1315
Abstract: A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.
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9.发明授权公开(公告)号：US11046323B2
公开(公告)日：2021-06-29
申请号：US16374160
申请日：2019-04-03
Inventor： Ehsan Hashemi , SeyedAlireza Kasaiezadeh Mahabadi , Amir Khajepour , Xueying Kang , Jin-Jae Chen , Hualin Tan , James H. Holbrook , Bakhtiar B. Litkouhi
IPC: B60W30/18 , B60W40/068 , B60W50/00
Abstract: A method for estimation of a vehicle tire force includes: receiving, by a controller of a vehicle, a measured vehicle acceleration of the vehicle; receiving, by the controller, a measured wheel speed and a measured yaw rate of the vehicle; forming, by the controller, inertia matrices based on an inertia of rotating components of the vehicle; calculating torques at corners of the vehicle using the inertia matrices; estimating tire forces of the vehicle based on the measured vehicle acceleration, the measured wheel speed, and the inertia matrices; and controlling, by the controller, the vehicle, based on the plurality of estimated longitudinal and lateral tire forces.
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公开(公告)号：US10407034B2
公开(公告)日：2019-09-10
申请号：US15614172
申请日：2017-06-05
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Seyedalireza Kasaiezadeh Mahabadi , James H. Holbrook , Hualin Tan , Ehsan Hashemi , Bakhtiar B. Litkouhi
Abstract: A combined slip based driver command interpreter for a vehicle is provided which may be communicatively coupled to a steering wheel angle sensor, an acceleration pedal position sensor and a brake pedal position sensor, the combined slip based driver command interpreter including, but not limited to a memory configured to store a non-linear combined lateral slip model and a non-linear combined longitudinal slip model, and a processor, the processor configured to determine a driver's intended vehicle lateral velocity and a driver's intended vehicle yaw rate based upon the angle of the steering wheel, the position of the acceleration pedal, the position of the brake pedal, a longitudinal velocity of the vehicle, the non-linear combined lateral slip model and the non-linear combined longitudinal slip model.
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