Virtual testing is getting more and more attention in the field of vehicle detection. In order to improve the evaluation accuracy of virtual test data under the condition of far side occupant protection, the paper studies the evaluation method of remote virtual test data accuracy. First, the dynamic responses of 11 simulation and test data are determined by analyzing the basic data under remote conditions. Then, based on CORA and ISO_ The measurement method of TS18571 is used to evaluate the correlation, and the error analysis method is used to analyze the responses with differences in the correlation evaluation results. Finally, the conclusion of the precision evaluation of CORA and ISO measurement methods is obtained through experimental research.

This paper proposes a novel load frequency control (LFC) strategy for power systems based on distributed model‐free adaptive predictive control. First, a power system dynamic model is established by the input and output signals of the power system. Then, a distributed model‐free adaptive predictive control algorithm is established for the power system under denial‐of‐service attack by the established power system dynamic model, and a predictive compensation algorithm is designed to compensate the impact of DoS attack. Based on the designed distributed model‐free adaptive predictive control algorithm, the frequency tracking error of the multiarea power system is bounded. The scheme is independent of the structure of the power system and does not need to measure any state signals of the power system, relying only on the input and output data of the power system. The results of simulations demonstrate the effectiveness and superiority of the design.

Considering the continuous shortening of automobile R & D cycle, mathematical methods have been more used in automotive aerodynamic optimization design for their capability to fit the law and calculate the optimal results. In this paper, the deformation software, fluid analysis software and optimization software are connected to build an automatic aerodynamics optimization platform of automotive shape. Based on the RBF model, the automatic aerodynamic optimization for a SUV is completed with the front windshield angle, rear windshield angle, engine cover angle, approach angle and departure angle as design parameters and the drag coefficient as design objective. The drag coefficient of the optimal model is 9.40% lower than that of the initial model, and remarkable drag reduction effect is achieved.