Zou Songchun

TL;DR: Simulation results show that the novel crash box optimized by NSGA-II algorithm can improve the energy absorption characteristics and comprehensive crashworthiness more effectively, and make the collision process controllable and stable.

TL;DR: The negative Poisson’s ratio (NPR) structure is introduced to the traditional door, and a multi-objective optimization design is conducted for the novel explosion-proof door based on adaptive hybrid multi-Objective particle swarm optimization (AHMOPSO) algorithm.

TL;DR: Simulation results show that compared with most of the existing methods which only consider the in-vehicle sensors’ signals, the proposed method fusing GPS has higher lateral velocity estimation accuracy, and VLVEM exhibits great robustness and fault tolerance.

TL;DR: The effectiveness of the proposed fault detection strategy of vehicle wheel angle signal via long short-term memory network (LSTM) and improved sequential probability ratio test (SPRT) is verified.

TL;DR: The proposed NPR crash box filled with a three-dimensional negative Poisson’s ratio inner core based on an inner hexagonal cellular structure can generate smooth and controllable deformation to absorb the total energy and can further enhance the crashworthiness through the designed optimization algorithm.