Configurable automotive controller

1. A configurable controller comprising:

an engine control unit;

a calibration dataset module situated in the engine control unit; and

wherein the engine control unit comprises a model predictive control controller.

2. The controller of claim 1 , wherein the model predictive control controller is configurable through the calibration dataset.

3. The controller of claim 2 , wherein the model predictive control controller is a one-time integration of a software template in the engine control unit.

4. The controller of claim 3 , wherein a structure of the controller is changeable by modifying the calibration dataset without changing the software template in the engine control unit.

5. The controller of claim 1 , wherein the model predictive controller may be configured for one or more of measurements, setpoints, constraints, and actuators, through the calibration dataset.

6. A method for configuring an engine control unit comprising:

developing a functional block;

testing the functional block;

compiling a controller code and calibration dataset together; and

downloading a model predictive control controller, having an algorithm and dataset, to an engine control unit.

7. The method of claim 6 , further comprising:

iterating on a calibration while working on an engine of the engine control unit; and

evaluating the calibration; and

wherein if the calibration is not acceptable, then returning to the developing the function block step and proceeding through the steps of claim 6 and the iterating and evaluating steps until the calibration is acceptable.

8. The method of claim 7 , wherein if the calibration is acceptable, then the calibration effectively completed.

9. A method for configuring an engine control unit comprising:

integrating a model predictive control template into an engine control unit;

developing a functional block;

generating a calibration dataset of the functional block; and

downloading the calibration dataset to the engine control unit.

10. The method of claim 9 , further comprising:

evaluating whether the calibration dataset is acceptable; and

wherein if the dataset is not acceptable, then return to developing the functional block.

11. The method of claim 10 , further comprising:

further developing the functional block;

generating another calibration dataset;

downloading the other calibration dataset to the engine control unit; and

evaluating whether the dataset is acceptable, respectively.

12. The method of claim 10 , wherein after developing the functional block, further comprising testing the functional block.

13. The method of claim 12 , wherein developing the functional block is in the rapid prototyping system.

14. The method of claim 12 , wherein testing the functional block is in the rapid prototyping system.

15. The method of claim 10 , wherein before evaluating whether the dataset is acceptable, further comprising iterating on calibration while working on an engine associated with the engine control unit.

16. The method of claim 15 , wherein integrating the model predictive control template into the engine control unit further comprises:

testing the software of the coded specification; and

functional testing the functional model predictive control template.

17. The method of claim 9 , wherein integrating the model predictive control template into the engine control unit comprises:

generating a functional specification;

determining a software specification of the functional specification; and

coding the specification in software.

18. A method for configuring an engine control unit comprising:

integrating a model predictive control template into an engine control unit;

developing a functional block;

testing the functional block;

generating a calibration dataset of the functional block; and

downloading the calibration dataset to the engine control unit.

19. The method of claim 18 , further comprising iterating on a calibration while working on an engine of the engine control unit.

20. The method of claim 19 , further comprising:

evaluating the calibration dataset; and

wherein if the dataset is not acceptable, then returning to the developing the function block step and proceeding through steps of claims 18 - 19 and the above evaluating step, until the dataset is acceptable.

21. The method of claim 20 , wherein if the dataset is acceptable, then downloading the calibration dataset to the engine control unit.

22. The method of claim 21 , wherein the integrating a model predictive control template into an engine control unit comprises:

generating a functional specification;

implementing the functional specification into software; and

functionally testing the software.

23. The method of claim 22 , wherein the implementing the functional specification into software comprises:

generating a software specification from the functional specification;

software coding the specification; and

testing the software coding.