Systems and methods for temperature control of a catalyst member using machine learning

A method, comprising:

• receiving, by a processing circuit comprising one or more memory devices coupled to one or more processors, an indication of a hydrocarbon injection event in a vehicle;
• receiving, by the processing circuit, at a first timeframe associated with the hydrocarbon injection event, a plurality of parameters regarding an operation of the vehicle;
• predicting, by the processing circuit and using a model based on the plurality of parameters, temperature data for a second timeframe subsequent to the first timeframe, the temperature data regarding an aftertreatment system of the vehicle;
• in response to the temperature data being above a threshold, computing, by the processing circuit, using the model, a second injection rate based on the predicted temperature at the second timeframe, the second injection rate lower than a first injection rate associated with the hydrocarbon injection event;
• and
• commanding, by the processing circuit, in response to the computation, an injector to inject hydrocarbon based on the second injection rate.

A computing system, comprising:

• one or more processors;
• and
• one or more memory devices couple to the one or more processors, the one or more memory devices storing instructions that, when executed by the one or more processors, cause the one or more processors to:
• receive, at a first timeframe during a change in a first outlet temperature of a catalyst member of an aftertreatment system, at least one input to a model comprising a plurality of parameters regarding an operation of a vehicle;
• correlate, using the model, the plurality of parameters at the first timeframe to a pattern associated with a predetermined plurality of parameters, wherein the pattern is indicative of at least one change to the first outlet temperature of the catalyst member;
• receive, based on the correlation between the plurality of parameters and the pattern, a predicted second outlet temperature of the catalyst member associated with a second timeframe subsequent to the first timeframe;
• and
• in response to the predicted second outlet temperature being above a threshold, command, during the first timeframe, at least one component of the vehicle to reduce the predicted second outlet temperature of the catalyst member at the second timeframe to be at or below the threshold.