On-board real-time speed control setpoint variation using stochastic optimization
First Claim
1. Vehicle apparatus comprising:
- a speed control for adjusting a vehicle powertrain of the vehicle in response to a speed setpoint; and
an optimizer for selecting a control policy to periodically generate speed adjustments for applying to the speed setpoint to operate the vehicle powertrain at increased efficiency, wherein the control policy is based on a value function providing an optimized solution for a cost model and a transition probability model, wherein the transition probability model corresponds to a driving state defined according to a plurality of dimensions including a time-of-day dimension and a geographic region dimension, wherein the transition probability model and the control policy have inputs based on road grade and speed, wherein the optimizer collects road grade data during routine driving of the vehicle to construct an observed transition probability model and uses divergence between the observed transition probability model and a set of predetermined transition probability models to identify a control policy for use during the routine driving.
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Abstract
Vehicle apparatus adjusts a vehicle powertrain of the vehicle in response to a speed setpoint. An optimizer selects a control policy to periodically generate speed adjustments for applying to the speed setpoint to operate at increased efficiency. The control policy is based on a value function providing an optimized solution for a cost model and a transition probability model. The transition probability model corresponds to a driving state defined according to a plurality of dimensions including a time-of-day dimension and a geographic region dimension. The transition probability model and the control policy have inputs based on road grade and speed. The optimizer collects road grade data during routine driving of the vehicle to construct a observed transition probability model and uses divergence between the observed transition probability model and a set of predetermined transition probability models to identify a control policy for use during the routine driving.
30 Citations
15 Claims
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1. Vehicle apparatus comprising:
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a speed control for adjusting a vehicle powertrain of the vehicle in response to a speed setpoint; and an optimizer for selecting a control policy to periodically generate speed adjustments for applying to the speed setpoint to operate the vehicle powertrain at increased efficiency, wherein the control policy is based on a value function providing an optimized solution for a cost model and a transition probability model, wherein the transition probability model corresponds to a driving state defined according to a plurality of dimensions including a time-of-day dimension and a geographic region dimension, wherein the transition probability model and the control policy have inputs based on road grade and speed, wherein the optimizer collects road grade data during routine driving of the vehicle to construct an observed transition probability model and uses divergence between the observed transition probability model and a set of predetermined transition probability models to identify a control policy for use during the routine driving. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of controlling a speed setpoint of a speed control for a vehicle, comprising the steps of:
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collecting road grade and vehicle speed data during routine operation of the vehicle; repeatedly updating an observed transition probability model for the road grade and vehicle speed as the data is collected; detecting convergence between different updates of the observed transition probability model; determining respective divergences between the converged observed model and a plurality of predetermined transition probability models in order to identify a predetermined transition probability model for which a divergence is less than a threshold; retrieving a predetermined control policy corresponding to the identified predetermined transition probability model, wherein each predetermined control policy represents an optimized value function for reducing a cost function of operating the vehicle under a driving state corresponding to the identified predetermined transition probability model; and applying the control policy to identify offsets to the speed setpoint in the speed control in response to an instantaneous road grade and vehicle speed. - View Dependent Claims (8, 9, 10, 11, 12)
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13. Vehicle apparatus comprising:
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a speed control for operating the vehicle at a speed setpoint; and an optimizer for selecting a control policy that periodically generates speed adjustments for applying to the speed setpoint to operate at an increased average efficiency, wherein the control policy is valid for vehicle driving conditions characterized by a corresponding transition probability model, wherein the transition probability model and the control policy have inputs based on road grade and speed, wherein the optimizer collects operating condition data during routine driving of the vehicle to construct an observed transition probability model that corresponds to a driving state defined according to a plurality of dimensions including a geographic region dimension, and wherein the optimizer compares the observed transition probability model to a set of predetermined transition probability models each having a corresponding control policy in order to identify the control policy to be used during the routine driving. - View Dependent Claims (14, 15)
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Specification