Adaptive in-drive updating of energy consumption prediction for vehicle with a load

A method of adaptive in-drive updating for a vehicle travelling on a route divided into a number of segments, the vehicle having a controller with a processor and tangible, non-transitory memory, the method comprising:

• obtaining one or more dynamic parameters pertaining to a load, via the controller, wherein the vehicle is carrying the load;
• executing selectively a plurality of adaptive predictors, via the controller, at a current timepoint during the route at which a completed portion of the route has been traversed by the vehicle and a remaining portion remains untraversed;
• including a speed predictor in the plurality of adaptive predictors, the speed predictor being configured to generate a global speed profile based in part on the one or more dynamic parameters, route features and a past actual speed, the global speed profile being a concatenation of the past actual speed up to the current timepoint and predicted speed for the remaining portion of the route;
• and
• including a driving consumption predictor in the plurality of adaptive predictors, the driving consumption predictor being configured to predict a driving consumption profile for the remaining portion of the route based in part on the one or more dynamic parameters, the route features, the global speed profile, and a past drive consumption.

A system for adaptive in-drive updating for a vehicle travelling on a route, the system comprising:

• a controller having a processor and tangible, non-transitory memory, the vehicle carrying a load, the controller being adapted to obtain one or more dynamic parameters pertaining to the load;
• wherein the one or more dynamic parameters includes at least one of a roll resistance, drag coefficient, tire pressure, a total mass of the vehicle with the load or a mass of the load;
• a plurality of adaptive predictors selectively executable by the controller at a current timepoint during the route at which a completed portion of the route has been traversed by the vehicle and a remaining portion remains untraversed, the plurality of adaptive predictors including:
• a speed predictor configured to generate a global speed profile based in part on the one or more dynamic parameters, route features and a past actual speed, the global speed profile being a concatenation of the past actual speed up to the current timepoint and predicted speed for the remaining portion of the route;
• a driving consumption predictor configured to predict a driving consumption profile for the remaining portion of the route based in part on the one or more dynamic parameters, the route features, the global speed profile, and a past drive consumption;
• and
• an auxiliary consumption predictor configured to predict an auxiliary consumption profile for the remaining portion of the route based in part on the route features and past auxiliary consumption from the completed portion.