US 12,214,772 B2
Model predictive control of a motor vehicle
Timon Busse, Munich (DE); and Timo Wehlen, Friedrichshafen (DE)
Assigned to ZF Friedrichshafen AG, Friedrichshafen (DE)
Appl. No. 17/777,120
Filed by ZF Friedrichshafen AG, Friedrichshafen (DE)
PCT Filed Nov. 14, 2019, PCT No. PCT/EP2019/081329
§ 371(c)(1), (2) Date May 16, 2022,
PCT Pub. No. WO2021/093954, PCT Pub. Date May 20, 2021.
Prior Publication US 2023/0034418 A1, Feb. 2, 2023
Int. Cl. B60W 20/13 (2016.01); B60L 58/26 (2019.01)
CPC B60W 20/13 (2016.01) [B60L 58/26 (2019.02); B60W 2510/081 (2013.01); B60W 2510/085 (2013.01); B60W 2510/087 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A processor unit (3) for model predictive control, MPC, of a motor vehicle (1) that includes a cooling pump (28), operable with different pump operating values (Q1, Q2, Q3) of at least one operating parameter (30), wherein:
the processor unit (3) configured for executing an MPC algorithm (13) for model predictive control of the motor vehicle (1), the MPC algorithm (13) comprising a longitudinal dynamic model (14) of the motor vehicle (1) and a cost function (15) to be minimized, the cost function (15) comprising a plurality of terms, including a first term representing an output of the cooling pump (28); and
the processor unit (3) is configured for, by executing the MPC algorithm (13), ascertaining a speed trajectory of the motor vehicle (1) situated within a prediction horizon as a function of the longitudinal dynamic model (14), and
simultaneously ascertaining a pump operating value trajectory situated within the prediction horizon such that the first term of the cost function (15) is minimized,
controlling a drive train of the motor vehicle (1) based on the speed trajectory of the motor vehicle (1), and
controlling a pump of the motor vehicle (1) based on the pump operating value trajectory.