US 12,118,836 B2
Probability neural network for reduced battery power drain
Vivek Kumar, Troy, MI (US); Di Zhu, Canton, MI (US); and Sumanth Reddy Dadam, New Hudson, MI (US)
Assigned to Ford Global Technologies, LLC, Dearborn, MI (US)
Filed by FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US)
Filed on Sep. 30, 2021, as Appl. No. 17/490,170.
Prior Publication US 2023/0098099 A1, Mar. 30, 2023
Int. Cl. G07C 5/08 (2006.01); G01R 31/382 (2019.01); G05B 13/02 (2006.01)
CPC G07C 5/0816 (2013.01) [G01R 31/382 (2019.01); G05B 13/027 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A vehicle comprising:
a battery;
a plurality of controllers; and
a processor programmed to, responsive to detecting at least one of the controllers is drawing power from the battery to perform a task when the vehicle is parked and detecting a parameter has a value less than a threshold value, command the at least one controller to shut down without completing the task, wherein the threshold value depends on a state of charge of the battery and the task being performed such that different tasks have different threshold values.