From these features, parameters for the local binarization method are selected and the local output is obtained.
The Roe's FDS scheme and the lower upper symmetric Gauss Seidel (LU-SGS) method are selected for convective flux and temporal discretization, respectively.
The gains of the introduced method are selected to satisfy three objectives: the disturbance rejection, stability and convergence of the errors.
Two of the current applied pre-heating methods, PTC (Positive Temperature Coefficient) material and metallic resistance (MR) material heating method are selected, tested and compared to indicate the battery temperature variation characteristics during the heating process.
The population samples of the method are selected from a parameterized probability distribution and updated during the optimization procedure, so the diversity of the samples and samples set is approach to optimization results.
According to different reservoir conditions, three forms of the combined method are selected for study: the wellbore-heating-assisting depressurization method, the hot-water-flooding method and the wellbore heating with depressurization method.
