Datasets of Paper "Data-Driven Parametric Optimization for Pre-Calibration of Internal Combustion Engine Controls"

This dataset consists of three parts. The first part contains the code for Rational Bézier Regression (RBR), which is an integrated function for Rational Bézier Curve Regression (RBCR) and Rational Bézier Surface Regression (RBSR), written in MATLAB. It includes a subfunction for the Bernstein Polynomial. The second part contains the datasets for pre-calibration measured from a real vehicle, including Measurement A and Target Calibration. Measurement A consists of 8 ECU signals in total, specifically 7 ECU inputs: • S_n_Engine_min: engine idle state (possible values: 0 or 1)• S_Coasting: vehicle coasting state (possible values: 0 or 1)• T_Ambient: ambient temperature (unit: ◦𝐶)• n_Engine: engine speed (unit: 𝑚𝑖𝑛−1)• m_Air_Flow: air mass flow (unit: 𝑘𝑔∕ℎ)• v_Vehicle: vehicle speed (unit: 𝑘𝑚∕ℎ)• T_Engine: engine temperature (unit: ◦𝐶) And 1 ECU output: • T_Oil: engine oil temperature (unit: ◦𝐶) The Target Calibration includes 3 Curves and 1 Map used in the real vehicle:• Curve_1: influence factor of ambient air temperature f_T_Ambient• Curve_2: influence factor of engine speed f_n_Engine• Curve_3: influence factor of engine temperature f_T_Engine• Map_1: influence factor of load and vehicle speed f_m_Air Flow/v_Vehicle The third part contains the optimized parameter vectors obtained after applying different optimization procedures mentioned in the paper, with a total of 12 parameter vectors.