公开(公告)号：US09328644B2

公开(公告)日：2016-05-03

申请号：US14034615

申请日：2013-09-24

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： John X. Cui ,  Min Sun ,  Anthony B. Will

IPC: F01N3/02 ,  F01N11/00 ,  F01N3/023 ,  F02D41/14 ,  F02D41/24 ,  F02D41/02 ,  F01N9/00

CPC classification number: F01N11/00 ,  F01N3/023 ,  F01N9/002 ,  F01N9/005 ,  F01N11/002 ,  F01N2900/08 ,  F01N2900/1606 ,  F02D41/029 ,  F02D41/1405 ,  F02D41/1448 ,  F02D41/1467 ,  F02D41/2432 ,  F02D2200/0812 ,  Y02T10/47

Abstract: A method of estimating soot loading in a diesel particulate filter (DPF) in a vehicle exhaust system includes estimating an engine-out soot rate using a first neural network that has a first set of vehicle operating conditions as inputs. The method further includes estimating DPF soot loading using a second neural network that has the estimated engine-out soot rate from the first neural network and a second set of vehicle operating conditions as inputs. Estimating the engine-out soot rate and estimating the DPF soot loading are performed by an electronic controller that executes the first and the second neural networks. The method also provides for training the first and second neural networks both offline (for initial settings of the neural networks in the vehicle), and online (when the vehicle is being used by a vehicle operator). An exhaust system has a controller that implements the method.

Abstract translation: 估计车辆排气系统中的柴油机微粒过滤器（DPF）中的烟灰负荷的方法包括使用具有第一组车辆操作条件作为输入的第一神经网络来估计发动机熄灭煤烟率。 该方法还包括使用具有来自第一神经网络的估计发动机熄灭烟灰率和第二​​组车辆操作条件作为输入的第二神经网络估计DPF烟灰负载。 通过执行第一和第二神经网络的电子控制器执行估计发动机熄火烟灰速率和估计DPF烟灰负荷。 该方法还提供离线训练第一和第二神经网络（用于车辆中的神经网络的初始设置）和在线（当车辆由车辆操作者使用时）。 排气系统具有实现该方法的控制器。

公开(公告)号：US20150088399A1

公开(公告)日：2015-03-26

申请号：US14034626

申请日：2013-09-24

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Min Sun ,  John X. Cui ,  Anthony B. Will

IPC: F01N11/00

CPC classification number: F01N11/002 ,  F01N9/002 ,  F01N9/005 ,  F01N2900/0412 ,  F01N2900/08 ,  F01N2900/1606 ,  F02D41/029 ,  F02D2041/1433 ,  F02D2200/0812 ,  Y02T10/47

Abstract: A method of estimating soot loading in a diesel particulate filter (DPF) in a vehicle exhaust system includes determining engine operating conditions of an engine in exhaust flow communication with the diesel particulate filter, and monitoring a pressure differential of the exhaust flow across the diesel particulate filter. The method includes estimating soot loading in the diesel particulate filter according to a pressure-based model using the monitored pressure differential when the engine operating conditions are within a predetermined first set of engine operating conditions, and estimating soot loading in the diesel particulate filter according to an engine-out soot model and a DPF soot loading model when the engine operating conditions are within a predetermined second set of operating conditions. The method includes updating the engine-out soot model based in part on a difference in estimated soot loading between the pressure-based model and the DPF soot loading model.

Abstract translation: 一种评估车辆排气系统中的柴油机微粒过滤器（DPF）中的烟灰负荷的方法包括确定发动机与柴油机微粒过滤器的排气流相通的发动机工作状态，以及监测柴油机颗粒物排气流的压力差 过滤。 该方法包括：当发动机工作条件在预定的第一组发动机运行条件内时，根据基于压力的模型来估计柴油机微粒过滤器中的烟灰负荷，并且根据下文估算柴油机微粒过滤器中的烟灰负荷 发动机熄火烟灰模型和DPF烟灰负荷模型，当发动机操作条件在预定的第二组操作条件下时。 该方法包括基于基于压力的模型和DPF烟灰负荷模型之间的估计的烟灰负荷的差异来更新发动机熄灭煤烟模型。

公开(公告)号：US20150088398A1

公开(公告)日：2015-03-26

申请号：US14034615

申请日：2013-09-24

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： John X. Cui ,  Min Sun ,  Anthony B. Will

IPC: F01N11/00

CPC classification number: F01N11/00 ,  F01N3/023 ,  F01N9/002 ,  F01N9/005 ,  F01N11/002 ,  F01N2900/08 ,  F01N2900/1606 ,  F02D41/029 ,  F02D41/1405 ,  F02D41/1448 ,  F02D41/1467 ,  F02D41/2432 ,  F02D2200/0812 ,  Y02T10/47

Abstract: A method of estimating soot loading in a diesel particulate filter (DPF) in a vehicle exhaust system includes estimating an engine-out soot rate using a first neural network that has a first set of vehicle operating conditions as inputs. The method further includes estimating DPF soot loading using a second neural network that has the estimated engine-out soot rate from the first neural network and a second set of vehicle operating conditions as inputs. Estimating the engine-out soot rate and estimating the DPF soot loading are performed by an electronic controller that executes the first and the second neural networks. The method also provides for training the first and second neural networks both offline (for initial settings of the neural networks in the vehicle), and online (when the vehicle is being used by a vehicle operator). An exhaust system has a controller that implements the method.

Abstract translation: 估计车辆排气系统中的柴油机微粒过滤器（DPF）中的烟灰负荷的方法包括使用具有第一组车辆操作条件作为输入的第一神经网络估计发动机熄灭煤烟率。 该方法还包括使用具有来自第一神经网络的估计发动机熄灭烟灰率和第二​​组车辆操作条件作为输入的第二神经网络估计DPF烟灰负载。 通过执行第一和第二神经网络的电子控制器执行估计发动机熄火烟灰速率和估计DPF烟灰负荷。 该方法还提供离线训练第一和第二神经网络（用于车辆中的神经网络的初始设置）和在线（当车辆由车辆操作者使用时）。 排气系统具有实现该方法的控制器。