Methods and systems for powertrain optimization and improved fuel economy
First Claim
1. A computer implemented method for powertrain optimization and improved fuel economy in a vehicle, the method comprising:
- (a) providing a modeled powertrain system and vehicle engine;
(b) utilizing a reverse tractive road load demand simulation algorithm to propagate a reverse tractive road load demand and a corresponding component torque and speed, the corresponding component torque and speed derived from a vehicle speed trace in a reverse direction through the modeled powertrain system comprising;
(i) calculating required torque and speed from the vehicle speed trace;
(ii) propagating the required torque and speed backwardly through the modeled powertrain system to the modeled vehicle engine; and
(c) determining fuel flow for each one of a plurality of states of the modeled powertrain system with the determined required engine torque and speed utilizing a dynamic optimization algorithm capable of executing a plurality of iterations to;
(i) calculate required fuel flow for each of a plurality of powertrain component control decisions for each of a plurality of powertrain states at k=N−
1(ii) identify a minimum required fuel flow and an optimal control decision for each of the plurality of powertrain states at k=N−
1,(iii) calculate recursively a required fuel flow for each of a plurality of control decisions for each of a plurality of powertrain states for 0≦
k<
N−
1,(iv) identify a minimum required fuel flow and an optimal control decision for each of a plurality of powertrain states for 0≦
k<
N−
1,(v) determine a global optimum accumulated required fuel flow and initial powertrain state at k=0, and(vi) create an optimal state vector by sequencing the optimal control decision at each time step for 0≦
k≦
N−
1, wherein k is a time step and N is a cycle duration, and(d) identifying an optimal state for each of the plurality of powertrain components, and(e) controlling each of the plurality of powertrain components in the identified optimal state for each of the plurality of powertrain components in order to improve fuel efficiency.
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Abstract
The technology described herein provides methods and systems for powertrain optimization and improved fuel economy including multiple displacement engine modeling and control optimization, automotive powertrain matching for fuel economy, cycle-based automotive shift and lock-up scheduling for fuel economy, and engine performance requirements based on vehicle attributes and drive cycle characteristics. Also provided is a reverse tractive road load demand simulation algorithm used to propagate a reverse tractive road load demand and a corresponding component torque and speed, derived from a vehicle speed trace, in a reverse direction through a powertrain system. Also provided is a dynamic optimization algorithm. The dynamic programming algorithm is applied to a matrix of fuel flow rates to find the optimal control path that maximizes the powertrain efficiency over a cycle.
42 Citations
25 Claims
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1. A computer implemented method for powertrain optimization and improved fuel economy in a vehicle, the method comprising:
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(a) providing a modeled powertrain system and vehicle engine; (b) utilizing a reverse tractive road load demand simulation algorithm to propagate a reverse tractive road load demand and a corresponding component torque and speed, the corresponding component torque and speed derived from a vehicle speed trace in a reverse direction through the modeled powertrain system comprising; (i) calculating required torque and speed from the vehicle speed trace; (ii) propagating the required torque and speed backwardly through the modeled powertrain system to the modeled vehicle engine; and (c) determining fuel flow for each one of a plurality of states of the modeled powertrain system with the determined required engine torque and speed utilizing a dynamic optimization algorithm capable of executing a plurality of iterations to; (i) calculate required fuel flow for each of a plurality of powertrain component control decisions for each of a plurality of powertrain states at k=N−
1(ii) identify a minimum required fuel flow and an optimal control decision for each of the plurality of powertrain states at k=N−
1,(iii) calculate recursively a required fuel flow for each of a plurality of control decisions for each of a plurality of powertrain states for 0≦
k<
N−
1,(iv) identify a minimum required fuel flow and an optimal control decision for each of a plurality of powertrain states for 0≦
k<
N−
1,(v) determine a global optimum accumulated required fuel flow and initial powertrain state at k=0, and (vi) create an optimal state vector by sequencing the optimal control decision at each time step for 0≦
k≦
N−
1, wherein k is a time step and N is a cycle duration, and(d) identifying an optimal state for each of the plurality of powertrain components, and (e) controlling each of the plurality of powertrain components in the identified optimal state for each of the plurality of powertrain components in order to improve fuel efficiency. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A control system for powertrain optimization and improved fuel economy in a vehicle, the control system comprising:
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a modeled powertrain system; a reverse tractive road load demand simulation algorithm, in operative communication with the modeled powertrain system, operative to propagate a reverse tractive road load demand and a corresponding component torque and speed, the corresponding component torque and speed derived from a vehicle speed trace, in a reverse direction through the modeled powertrain system; wherein the control system comprises logic configured to, calculate a required torque and speed from the vehicle speed trace, propagate the required torque and speed backwardly through the modeled powertrain system to a vehicle engine, control the vehicle engine and improving the fuel economy with the determined required engine torque and speed by (a) utilizing a dynamic optimization algorithm to (i) calculate required fuel flow for each of a plurality of powertrain component control decisions for each of a plurality of powertrain states at k=N−
1, wherein k is a time step and N is a cycle duration, (ii) identify a minimum required fuel flow and an optimal control decision for each of the plurality of powertrain states at k=N−
1, (iii) calculate recursively a required fuel flow for each of a plurality of control decisions for each of a plurality of powertrain states for 0≦
k<
N−
1, (iv) identify a minimum required fuel flow and an optimal control decision for each of a plurality of powertrain states for 0≦
k<
N−
1, (v) determine a global optimum accumulated required fuel flow and initial powertrain state at k=0, and (vi) create an optimal state vector by sequencing the optimal control decision at each time step for 0≦
k≦
N−
1, and (b) identifying an optimal state for each of the plurality of powertrain components, and (c) controlling each of the plurality of powertrain components in the identified optimal state for each of the plurality of powertrain components in order to improve fuel efficiency. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer readable medium encoded with programming for powertrain optimization and improved fuel economy in a vehicle, the programming configured to:
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utilize a reverse tractive road load demand simulation algorithm, propagate a reverse tractive road load demand and a corresponding component torque and speed, the corresponding component torque and speed derived from a vehicle speed trace, in a reverse direction through a modeled powertrain system, calculate a required torque and speed from the vehicle speed trace, propagate the required torque and speed backwardly through the modeled powertrain system to a vehicle engine, and control the vehicle engine and improving the fuel economy with the determined required engine torque and speed utilizing the following relationship for determining a total cost to be minimized; - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25)
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Specification