Vehicle having advanced prediction model for particulate matter oxidation

Abstract

Systems, methods, and computer readable storage media for controlling oxidation of a particulate filter (PF) are disclosed. The oxidation of the PF may be controlled using a PF model. The PF model may be utilized to simulate operations of the PF based on various input data and/or derived data to determine an optimum time for initiating an oxidation event at the PF, and an oxidation event may be initiated at the PF based on the simulating.

What is claimed is: 
     
         1 . A method for controlling oxidation of a particulate filter (PF), the method comprising:
 compiling, by a processor, input data for initializing a PF model;   executing, by the processor, a simulation of the PF model based at least in part on the compiled input data, wherein the simulation of the PF model comprises:   calculating soot characteristics representative of soot present in the particular filter; and   determining a 3-dimensional (3D) temperate estimate for the PF based on the soot characteristics, information associated with physical characteristics of the PF, and one or more reaction parameters; and   initiating an oxidation event at the PF based on the simulating.   
     
     
         2 . The method of  claim 1 , wherein the 3D temperature estimate is determined using one or more algebraic solutions according to a Euler methodology. 
     
     
         3 . The method of  claim 2 , wherein the Euler methodology is one of a Euler explicit methodology and a Euler implicit methodology. 
     
     
         4 . The method of  claim 1 , further comprising determining the information associated with the physical characteristics of the PF, wherein the information associated with the physical characteristics of the PF comprises a representation of a volume of the PF having one or more cells corresponding to a portion of the volume of the PF. 
     
     
         5 . The method of  claim 1 , further comprising:
 executing a plurality of additional simulations of the PF model;   determining an optimized time for initiating the oxidation event at the PF based on the simulation and the plurality of additional simulations, wherein the oxidation event is initiated at the optimized time.   
     
     
         6 . The method of  claim 5 , wherein the optimized time for initiating the oxidation event is determined, based at least in part, on 3D temperature estimates for the PF determined by the simulation and the plurality of additional simulations. 
     
     
         7 . The method of  claim 1 , wherein the PF is integrated within a vehicle, and wherein the simulation is executed by a processor of the vehicle. 
     
     
         8 . The method of  claim 1 , wherein the oxidation event is initiated at the PF, based at least in part, on the 3D temperature estimate for the PF determined by the simulation. 
     
     
         9 . A non-transitory computer-readable storage medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations for controlling oxidation of a particulate filter (PF), the operations comprising:
 compiling input data for initializing a PF model;   executing a simulation of the PF model based at least in part on the compiled input data, wherein the simulation of the PF model comprises:   calculating soot characteristics representative of soot present in the particular filter; and   determining a 3-dimensional (3D) temperate estimate for the PF based on the soot characteristics, information associated with physical characteristics of the PF, and one or more reaction parameters; and   initiating an oxidation event at the PF based on the simulating.   
     
     
         10 . The non-transitory computer-readable storage medium of  claim 1 , wherein the 3D temperature estimate is determined using one or more algebraic solutions according to a Euler methodology. 
     
     
         11 . The non-transitory computer-readable storage medium of  claim 10 , wherein the Euler methodology is one of a Euler explicit methodology and a Euler implicit methodology. 
     
     
         12 . The non-transitory computer-readable storage medium of  claim 9 , further comprising determining the information associated with the physical characteristics of the PF, wherein the information associated with the physical characteristics of the PF comprises a representation of a volume of the PF having one or more cells corresponding to a portion of the volume of the PF. 
     
     
         13 . The non-transitory computer-readable storage medium of  claim 9 , further comprising:
 executing a plurality of additional simulations of the PF model;   determining an optimized time for initiating the oxidation event at the PF based on the simulation and the plurality of additional simulations, wherein the oxidation event is initiated at the optimized time.   
     
     
         14 . The non-transitory computer-readable storage medium of  claim 13 , the operations further comprising determining 3D temperature estimates for the PF based on the simulation and the plurality of additional simulations, wherein the optimized time for initiating the oxidation event is determined, based at least in part, on the 3D temperature estimates for the PF. 
     
     
         15 . The non-transitory computer-readable storage medium of  claim 9 , wherein the PF is integrated within a vehicle, and wherein the simulation is executed by an emissions management system of the vehicle. 
     
     
         16 . The non-transitory computer-readable storage medium of  claim 9 , wherein the PF is the oxidation event is initiated, based at least in part, on the 3D temperature estimate for the PF determined by the simulation. 
     
     
         17 . A system for controlling oxidation of a particulate filter (PF), the method comprising:
 an engine;   a particular filter (PF) configured to process at least a portion of exhaust generated by the engine;   one or more sensors;   a memory; and   one or more processors communicatively coupled to the memory and the one or more sensors, the one or more processors configured to:   compile input data for initializing a PF model based on information received from the one or more sensors;   execute a simulation of the PF model based at least in part on the compiled input data, wherein the simulation of the PF model comprises:   calculating soot characteristics representative of soot present in the PF; and   determining a 3-dimensional (3D) temperate estimate for the PF based on the soot characteristics, information associated with physical characteristics of the PF, and one or more reaction parameters; and   initiate an oxidation event at the PF based on the simulation.   
     
     
         18 . The system of  claim 1 , wherein the 3D temperature estimate is determined using one or more algebraic solutions according to a Euler methodology. 
     
     
         19 . The system of  claim 17 , wherein the one or more processors are configured to:
 execute a plurality of additional simulations of the PF model;   determine an optimized time for initiating the oxidation event at the PF based on the simulation and the plurality of additional simulations, wherein the oxidation event is initiated at the optimized time.   
     
     
         20 . The system of  claim 17 , wherein the optimized time for initiating the oxidation event is determined, based at least in part, on 3D temperature estimates for the PF determined by the simulation and the plurality of additional simulations.