Back to results
US 2016/0096527 A1Published application
Adaptive model predictive control for vehicle route planning
AssigneeFord Global Technologies, LLC
InventorsAnthony Mario D'Amato, Dimitar Petrov Filev, John Ottavio Michelini, Jonathan Thomas Mullen
Life of this patent
Estimating the term…
Abstract
Method and system are provided for vehicle route planning based on adaptive model predictive control. In one example, a method may include real-time online identification of the vehicle model base on the vehicle inputs and outputs; compression of the input space to increase the optimization efficiency; and optimization of the route planning based on the model parameter of the vehicle and the known road grade.
Claims20
A method, comprising:
- adjusting a vehicle parameter responsive to a determined planned route, the planned route determined for a given time horizon to reduce fuel consumption and further based on disturbances along the planned route and according to a compressed total number of parameters of an engine torque over the given time horizon.
A method for a vehicle, comprising:
- during vehicle operation, estimating vehicle model parameters based on an engine torque, a disturbance along a route, a fuel consumption, and a vehicle acceleration;
- determining a time horizon;
- constructing a future engine torque over the time horizon, wherein the future engine torque has a number of parameters less than a length of the time horizon;
- determining each parameter of the future engine torque to provide a desired fuel consumption;
- operating the vehicle based on the future engine torque;
- and
- moving the time horizon forward.
4 more elements
A vehicle system, comprising:
- a torque converter for transmitting an engine torque to a drive train;
- a sensor for sensing a disturbance alone a route;
- and
- a controller configured with computer readable instructions stored on non-transitory memory for:
- estimating an engine torque;
- estimating a fuel consumption;
- estimating an acceleration of the vehicle system;
- determining a time horizon;
- reducing a total number of parameters of the engine torque over the time horizon based on the sensed disturbance, wherein the total number of parameters is less than a length of the determined time horizon;
- estimating vehicle model parameters based on the engine torque, the estimated fuel consumption, the estimated acceleration of the vehicle, and the sensed disturbance;
- determining each parameter of a future engine torque with the reduced total number of parameters by minimizing a future fuel consumption;
- operating the vehicle based on the first parameter of the future engine torque;
- and
- moving the time horizon forward.
11 more elements
Dependencies are inferred from the claim text.