US2024012066A1PendingUtilityA1

Battery failure prediction

Assignee: SPARKCOGNITION INCPriority: Aug 28, 2020Filed: Sep 19, 2023Published: Jan 11, 2024
Est. expiryAug 28, 2040(~14.1 yrs left)· nominal 20-yr term from priority
G01R 31/392G01R 31/367
81
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Claims

Abstract

A method includes obtaining battery characterization data based on sensor data from one or more sensors onboard a vehicle. The method includes providing the battery characterization data as input to a trained model to generate a model output. The methos further includes altering a vehicle operating parameter based on the model output.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 obtaining, by a processor, battery characterization data based on sensor data from one or more sensors onboard a vehicle;   providing, by the processor, the battery characterization data as input to a trained model to generate a model output; and   altering a vehicle operating parameter based on the model output.   
     
     
         2 . The method of  claim 1 , further comprising identifying the battery characterization data with a driver type profile. 
     
     
         3 . The method of  claim 1 , wherein the sensor data is captured during a time period that includes multiple discharging operations and multiple recharging operations of a battery of the vehicle. 
     
     
         4 . The method of  claim 1 , wherein the one or more sensors include battery sensors that identify physical characteristics of a battery of the vehicle. 
     
     
         5 . The method of  claim 1 , wherein the one or more sensors include non-battery sensors that identify physical characteristics of components of the vehicle other than a battery. 
     
     
         6 . The method of  claim 1 , wherein the vehicle operating parameter includes a throttle responsiveness parameter. 
     
     
         7 . The method of  claim 1 , wherein the vehicle operating parameter includes a length of time that gears are held. 
     
     
         8 . The method of  claim 1 , wherein the vehicle operating parameter includes an engine rotations per minute parameter. 
     
     
         9 . The method of  claim 1 , wherein the vehicle operating parameter includes a traction control system parameter. 
     
     
         10 . The method of  claim 1 , further comprising, prior to altering the vehicle operating parameter, determining a current operation of the vehicle, wherein the vehicle operating parameter is not changed responsive to determining that the vehicle is in motion. 
     
     
         11 . The method of  claim 1 , wherein the vehicle operating parameter is altered responsive to the model output indicating that a battery has a particular charge. 
     
     
         12 . The method of  claim 1 , wherein the vehicle operating parameter is altered responsive to the model output indicating that a battery has a particular health profile. 
     
     
         13 . A system comprising:
 one or more processors; and   one or more memory devices coupled to the one or more processors, the one or more memory devices storing instructions that are executable to cause the one or more processors to perform operations comprising:
 obtaining battery characterization data based on sensor data from one or more sensors onboard a vehicle; 
 providing the battery characterization data as input to a trained model to generate a model output; and 
 altering a vehicle operating parameter based on the model output. 
   
     
     
         14 . The system of  claim 13 , further comprising identifying the battery characterization data with a driver type profile. 
     
     
         15 . The system of  claim 13 , wherein the sensor data is captured during a time period that includes multiple discharging operations and multiple recharging operations of a battery of the vehicle. 
     
     
         16 . The system of  claim 13 , wherein the one or more sensors include battery sensors that identify physical characteristics of a battery of the vehicle. 
     
     
         17 . The system of  claim 13 , wherein the one or more sensors include non-battery sensors that identify physical characteristics of components of the vehicle other than a battery. 
     
     
         18 . The system of  claim 13 , wherein the vehicle operating parameter includes a throttle responsiveness parameter. 
     
     
         19 . A computer-readable storage device storing instructions that, when executed by one or more processors, cause the processors to:
 obtain battery characterization data based on sensor data from one or more sensors onboard a vehicle;   provide the battery characterization data as input to a trained model to generate a model output; and   alter a vehicle operating parameter based on the model output.   
     
     
         20 . The computer-readable storage device of  claim 19 , wherein the vehicle operating parameter includes a throttle responsiveness parameter.

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