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公开(公告)号：US12129783B2
公开(公告)日：2024-10-29
申请号：US17656585
申请日：2022-03-25
发明人： Nathan Kempema , Conner Sharpe , David John Kubinski , Xiao Wu , Mehrdad Shahabi
IPC分类号： F01N3/00 , F01N3/08 , F01N3/20 , G06F18/214 , G06N20/00
CPC分类号： F01N3/2073 , F01N3/0814 , F01N3/206 , G06F18/214 , G06N20/00
摘要： Methods and systems are provided for a vehicle. In one example, a method may include acquiring measurements from at least one exhaust emission sensor of the vehicle, the exhaust emission sensor positioned to measure one of NOx, NH3, and O2 levels in exhaust gas of the vehicle. The measurements may be input into a machine learning model trained to output a predicted real-time amount of at least one exhaust gas constituent in the exhaust gas and operations of an emissions aftertreatment system may be assessed and adjusted based on the predicted real-time amount of the at least one exhaust gas constituent.
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公开(公告)号：US20230304430A1
公开(公告)日：2023-09-28
申请号：US17656585
申请日：2022-03-25
发明人： Nathan Kempema , Conner Sharpe , David John Kubinski , Xiao Wu , Mehrdad Shahabi
CPC分类号： F01N3/2073 , F01N3/206 , F01N3/0814 , G06K9/6256 , G06N20/00
摘要： Methods and systems are provided for a vehicle. In one example, a method may include acquiring measurements from at least one exhaust emission sensor of the vehicle, the exhaust emission sensor positioned to measure one of NOx, NH3, and O2 levels in exhaust gas of the vehicle. The measurements may be input into a machine learning model trained to output a predicted real-time amount of at least one exhaust gas constituent in the exhaust gas and operations of an emissions aftertreatment system may be assessed and adjusted based on the predicted real-time amount of the at least one exhaust gas constituent.
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