US 11,988,517 B2
Vehicle system for adaptive energy consumption prediction
Keith Weston, Canton, MI (US); Brendan F. Diamond, Grosse Pointe, MI (US); Andrew Denis Lewandowski, Sterling Heights, MI (US); and Jordan Barrett, Milford, MI (US)
Assigned to Ford Global Technologies, LLC, Dearborn, MI (US)
Filed by FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US)
Filed on Sep. 22, 2021, as Appl. No. 17/481,773.
Prior Publication US 2023/0085950 A1, Mar. 23, 2023
Int. Cl. G01C 21/34 (2006.01); B60W 10/06 (2006.01); B60W 50/14 (2020.01); G01C 21/00 (2006.01); H04W 4/46 (2018.01)
CPC G01C 21/3469 (2013.01) [B60W 10/06 (2013.01); B60W 50/14 (2013.01); G01C 21/3859 (2020.08); H04W 4/46 (2018.02); B60W 2530/10 (2013.01); B60W 2530/209 (2020.02); B60W 2556/65 (2020.02); B60W 2710/0666 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A vehicle comprising:
one or more transceivers configured to communicate with a server via a remote connection and a fleet vehicle via a direct connection;
one or more sensors; and
one or more controllers programmed to:
responsive to detecting, via the one or more sensors, a first event associated with an increased energy consumption rate compared with a current energy consumption rate, obtain a first candidate energy consumption rate corresponding to the first event from the fleet vehicle,
calculate an estimated energy consumption rate using the first candidate energy consumption rate,
calculate a distance to empty using the estimated energy consumption rate,
obtain a first maximum torque corresponding to the first event, and
operate the vehicle within the first maximum torque.