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Training Datasets of Exhaust Temperature Model (ETM) and Three-Way Catalyst Control Lambda Set Point (TWCC) Model for Black-Box Modeling

<p>These are the two training datasets for the Exhaust Temperature Model (ETM) and the Three-Way Catalyst Control Lambda Set Point (TWCC) Model, used in Black-Box Modeling, such as through Neural Networks.</p> <p>The datasets for each black box model are stored in XLSX files. Each dataset file contains ECU channel inputs, related Map parameters, and output. The ECU channel inputs and Map parameters are collected with Sobol methods. The output is generated by Hardware-in-the-Loop (HiL) corresponding to the related ECU channel inputs and Map parameters.</p> <p>The ETM model has four effective Maps, hence there are 32 corresponding shape-based algorithm parameters. Its output is the exhaust temperature. Its ECU channel inputs are as follows:</p> <p>CH_1:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Intake valve cut-off condition</p> <p>CH_2:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Thrust cut-off condition</p> <p>CH_3:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Cylinder equalization control work cycle injection enabled</p> <p>CH_4:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ignition angle efficiency</p> <p>CH_5:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Relative level of reduction</p> <p>CH_6:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lean engine lambda for cylinders on exhaust bank with lambda split</p> <p>CH_7:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Rich engine lambda for cylinders on exhaust bank with lambda split</p> <p>CH_8:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exhaust gas mass flow</p> <p>CH_9:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Engine speed</p> <p>CH_10:&nbsp; &nbsp; &nbsp;Relative air filling</p> <p>CH_11:&nbsp; &nbsp; &nbsp;Material temperature</p> <p>CH_12:&nbsp; &nbsp; &nbsp;Engine temperature</p> <p>&nbsp;</p> <p>The TWCC model has one Map, hence there are 8 corresponding shape-based algorithm parameters. Its output is lambda set point. Its ECU channel inputs are as follows:</p> <p>CH_1:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exhaust mass flow</p> <p>CH_2:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Trigger bit for inhibiting the purge</p> <p>CH_3:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Trigger bit for a rich mixture</p> <p>CH_4:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Trigger bit for empty catalyst</p> <p>CH_5:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Trigger bit for catalyst reset</p> <p>CH_6:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Oxygen storage level</p> <p>CH_7:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Desired air-fuel ratio</p>

ShareScore

16/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
0
Engagement
0