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公开(公告)号：US12097777B2
公开(公告)日：2024-09-24
申请号：US18094170
申请日：2023-01-06
Applicant: Geotab Inc.
Inventor： Meghan Frances Fotak , Jialin Zhu , James David Johnston , Weinan Sun , Matthew Konski , Michael Angelo David Santorelli , Daniel Alec Sheen
CPC classification number: B60L53/24 , B60L53/53 , G07C5/0808 , G07C5/0816
Abstract: Methods and systems for predicting a potential alternator failure in a motor vehicle are provided. The method includes determining a potential alternator undercharging condition if a duration between the maximum cranking voltage time stamp and the maximum device voltage time stamp is greater than an undercharging indicator duration threshold. Advantageously, an alternator may be repaired or replaced before it fails thus averting having the motor vehicle become inoperable.
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公开(公告)号：US11623534B2
公开(公告)日：2023-04-11
申请号：US17731321
申请日：2022-04-28
Applicant: Geotab Inc.
Inventor： Meghan Frances Fotak , Jialin Zhu , James David Johnston , Weinan Sun , Matthew Konski , Michael Angelo David Santorelli , Daniel Alec Sheen
Abstract: Methods and systems for determining an alternator condition in a motor vehicle are provided. The method includes receiving a maximum cranking voltage and a maximum cranking voltage time stamp from the motor vehicle over an asset interface of the telematics device; receiving a maximum device voltage and a maximum device voltage time stamp from the motor vehicle over the asset interface, and determining a potential alternator undercharging condition if a duration between the maximum cranking voltage time stamp and the maximum device voltage time stamp is greater than an undercharging indicator duration threshold. Advantageously, an alternator may be repaired or replaced before it fails thus averting having the motor vehicles inoperable.
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公开(公告)号：US11473545B1
公开(公告)日：2022-10-18
申请号：US17827894
申请日：2022-05-30
Applicant: Geotab Inc.
Inventor： Meghan Frances Fotak , Jailin Zhu , James David Johnston , Weinan Sun , Matthew Konski , Michael Angelo David Santorelli , Daniel Alec Sheen , Robert Spencer Hockin , Xiaohui Yu
Abstract: Devices and systems for determining an alternator condition in a motor vehicle are provided. The method includes performing a plurality of micro wakeups to capture voltage values during a cranking event, determining the maximum cranking voltage and its timestamp, detecting an ignition signal, determining the maximum device voltage and its timestamp, and determining a potential alternator undercharging condition if a duration between the maximum cranking voltage timestamp and the maximum device voltage timestamp is greater than an undercharging indicator duration threshold. Advantageously, an alternator may be repaired or replaced before it fails thus averting having the motor vehicles inoperable.
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公开(公告)号：US12077019B1
公开(公告)日：2024-09-03
申请号：US18413179
申请日：2024-01-16
Applicant: Geotab Inc.
IPC: B60C23/04 , G06F18/243
CPC classification number: B60C23/0479 , G06F18/24323
Abstract: Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.
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公开(公告)号：US20230392942A1
公开(公告)日：2023-12-07
申请号：US18234675
申请日：2023-08-16
Applicant: Geotab Inc.
Inventor： Meghan Frances Fotak , Weinan Sun , Michael Angelo David Santorelli , James David Johnston , Ian Grzegorczyk
CPC classification number: G01C21/3469 , G01C21/3605
Abstract: Systems and methods for tracking and evaluating fuel consumptions of vehicles are provided. The method can involve operating a telematics device installed in the vehicle to: collect fuel data from at least one fuel data source of the vehicle; track, for each fuel data source, a cumulative amount of fuel consumed by the vehicle; determine a confidence level of each fuel data source; identify an initial fuel data source; generate a plurality of mid-trip fuel records; identify a final fuel data source based on a priority of each fuel data source and each confidence level of each fuel data source; determine whether the plurality of mid-trip fuel records is valid; and transmit the plurality of mid-trip fuel records and an indication of whether the plurality of mid-trip fuel records is valid to a fleet management system.
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Patent Agency Ranking
公开(公告)号：US20230191928A1
公开(公告)日：2023-06-22
申请号：US18094170
申请日：2023-01-06
Applicant: Geotab Inc.
Inventor： Meghan Frances Fotak , Jialin Zhu , James David Johnston , Weinan Sun , Matthew Konski , Michael Angelo David Santorelli , Daniel Alec Sheen
CPC classification number: B60L53/24 , G07C5/0816 , G07C5/0808 , B60L53/53
Abstract: Methods and systems for predicting a potential alternator failure in a motor vehicle are provided. The method includes determining a potential alternator undercharging condition if a duration between the maximum cranking voltage time stamp and the maximum device voltage time stamp is greater than an undercharging indicator duration threshold. Advantageously, an alternator may be repaired or replaced before it fails thus averting having the motor vehicle become inoperable.
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公开(公告)号：US11455842B1
公开(公告)日：2022-09-27
申请号：US17827898
申请日：2022-05-30
Applicant: Geotab Inc.
Inventor： Meghan Frances Fotak , Jialin Zhu , James David Johnston , Weinan Sun , Matthew Konski , Michael Angelo David Santorelli , Daniel Alec Sheen , Robert Spencer Hockin , Xiaohui Yu
Abstract: Methods and systems for determining an alternator condition in a motor vehicle are provided. The method includes performing a plurality of micro wakeups to capture voltage values during a cranking event, determining the maximum cranking voltage and its timestamp, detecting an ignition signal, determining the maximum device voltage and its timestamp, and determining a potential alternator undercharging condition if a duration between the maximum cranking voltage timestamp and the maximum device voltage timestamp is greater than an undercharging indicator duration threshold. Advantageously, an alternator may be repaired or replaced before it fails thus averting having the motor vehicle inoperable.
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公开(公告)号：US20250104494A1
公开(公告)日：2025-03-27
申请号：US18894639
申请日：2024-09-24
Applicant: Geotab Inc.
Inventor： Lourd Arun Raj , Giordano Aldo Arezza , Daniel J. Lewis , Michael Angelo David Santorelli , James Spencer
Abstract: Disclosed herein are systems and methods for estimating remaining useful life of vehicle engine oil. Such methods may comprise operating at least one processor to: receive telematics data originating from a plurality of vehicles, the telematics data comprising odometer data and engine oil quality data associated with each of the plurality of vehicles; determine, for one or more of the plurality of vehicles, a start point of a current oil cycle based on when an oil cycle event previously occurred by identifying within the engine oil quality data: a first series of engine oil quality datapoints, and a second series of engine oil quality datapoints immediately following the first series, a difference between a final datapoint of the first series and an initial datapoint of the second series being greater than a predetermined threshold; synchronize the odometer data and the engine oil quality data by associating odometer datapoints and engine oil quality datapoints reported within a same time period; determine a remaining useful vehicle engine oil distance by applying to synchronized odometer and engine oil quality data reported during the current oil cycle a regression model; and determine a remaining useful vehicle engine oil time by converting the remaining useful vehicle engine oil distance thereto based on an average difference in odometer datapoints reported during a selected time period, whereby the remaining useful life of vehicle engine oil is estimated based on vehicle operational factors associated with the current oil cycle, and independently from those of a previous oil cycle.
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公开(公告)号：US20240326524A1
公开(公告)日：2024-10-03
申请号：US18733174
申请日：2024-06-04
Applicant: Geotab Inc.
IPC: B60C23/04 , G06F18/243
CPC classification number: B60C23/0479 , G06F18/24323
Abstract: Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.
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公开(公告)号：US20240270031A1
公开(公告)日：2024-08-15
申请号：US18413179
申请日：2024-01-16
Applicant: Geotab Inc.
IPC: B60C23/04 , G06F18/243
CPC classification number: B60C23/0479 , G06F18/24323
Abstract: Systems and methods for detecting and removing erroneous tire pressure values are provided. The method involves operating at least one processor to: receive tire pressure data comprising a time series of tire pressure values; simplify the tire pressure data by removing at least some of the tire pressure values that satisfy a predetermined interpolation error threshold; detect, using a trained machine learning classifier, at least one erroneous tire pressure value in the tire pressure data, each erroneous tire pressure value being detected based on the erroneous tire pressure value and a plurality of lagging tire pressure values consecutively trailing the erroneous tire pressure value; clean the tire pressure data by removing the at least one erroneous tire pressure value; and transmit the tire pressure data to a fleet management system, whereby the at least one erroneous tire pressure value is not transmitted to the fleet management system.
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