US2024012066A1PendingUtilityA1
Battery failure prediction
Est. expiryAug 28, 2040(~14.1 yrs left)· nominal 20-yr term from priority
Inventors:Sridhar Sudarsan
G01R 31/392G01R 31/367
81
PatentIndex Score
0
Cited by
0
References
0
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-modifiedWhat 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.Join the waitlist — get patent alerts
Track US2024012066A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.