The controller design of vehicle systems depends on accurate reference index input. Considering information fusion and feature extraction based on existing data settings in the time domain, if reasonable input is selected for prediction to obtain accurate information of future state, it is of great significance for control decision-making, system response, and driver’s active intervention. In this paper, the nonlinear dynamic model of the four-wheel steering vehicle system was built, and the Long Short-Term Memory (LSTM) network architecture was established. On this basis, according to the real-time data under different working conditions, the information correction calculation of variable time-domain length was carried out to obtain the real-time state input length. At the same time, the historical state data of coupled road information was adopted to train the LSTM network offline, and the acquired real-time data state satisfying the accuracy was used as the LSTM network input to carry out online prediction of future confidence information. In order to solve the problem of mixed sensitivity of the system, a robust controller for vehicle active steering was designed with the sideslip angle of the centroid of 0, and the predicted results were used as reference inputs for corresponding numerical calculation verification. Finally, according to the calculated results, the robust controller with information prediction can realize the system stability control under coupling conditions on the premise of knowing the vehicle state information in advance, which provides an effective reference for controller response and driver active manipulation.

In this paper, star-ccm+ software is applied to simulate the thermal melting of engine oil under low-temperature conditions, and corresponding models are established based on the physical parameters of the fuel tank, antifreeze, lubricating oil, and heating pipe. Single-phase multi-working medium simulation and VOF (volume of fluid) multi-flow simulation were used to model and analyze the various characteristics of the lubricating oil from solidified state to liquid state under the specific box and heating pipe structure. The results showed that the simulation results of the VOF multiphase flow model under the proposed lubrication system were basically consistent with that of the single-phase multi-working medium model. The simulation efficiency could be improved by using the single-phase multi-working medium model. The simulation results of heating melting can provide a reference for the subsequent design and optimization of the heating pipeline.