US 12,092,007 B2
Computer-implemented method for controlling a regeneration event
Oscar Stjernberg, Gothenburg (SE); Martin Wilhelmsson, Torslanda (SE); Johan Bjernetun, Mölnlycke (SE); and Anders Eriksson, Torslanda (SE)
Assigned to VOLVO TRUCK CORPORATION, Gothenburg (SE)
Filed by VOLVO TRUCK CORPORATION, Gothenburg (SE)
Filed on Jan. 31, 2024, as Appl. No. 18/427,943.
Claims priority of application No. 23154531 (EP), filed on Feb. 1, 2023.
Prior Publication US 2024/0254904 A1, Aug. 1, 2024
Int. Cl. F01N 3/02 (2006.01); F01N 3/023 (2006.01)
CPC F01N 3/023 (2013.01) [F01N 2900/102 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A computer system for controlling a regeneration event for an exhaust aftertreatment system of a vehicle, the computer system comprising a processor device which is configured to:
collect drive time statistical data for a vehicle driving cycle during driving of the vehicle, wherein the vehicle driving cycle is associated with a starting point and a first travelling direction from the starting point;
determine a most probable path of the vehicle driving cycle which is associated with the starting point and the first travelling direction, wherein the most probable path is a path between the starting point and a first destination point;
during driving along the most probable path, determine if the vehicle departs from the most probable path at an auxiliary point along the most probable path;
in response to determining that the vehicle departs from the most probable path, collect additional vehicle drive time statistical data for an auxiliary path of the vehicle driving cycle, wherein the additional vehicle drive time statistical data uses the auxiliary point and an auxiliary travelling direction from the auxiliary point as reference for the auxiliary path, wherein the auxiliary path is a path between the auxiliary point and a second destination point;
predict expected travelling times for travelling from the starting point to the first destination point and from the auxiliary point to the second destination point based on the collected drive time statistical data and the collected additional drive time statistical data; and
control the regeneration event based on the predicted expected travelling times.