摘要：AbstractThis paper proposes an optimal driving strategy to improve the ride comfort performance of intelligent vehicles, which is different from the general researches that focus on the driving safety. Firstly, based on the establishment of a 7-DOF vehicle model and a road excitation model, the relationship between vehicle velocity and the comfort index is analyzed and described by a non-monotonic polynomial. Then, a velocity control requirement considering driving performance and comfort performance is constructed and transformed into a multi-objective optimization problem. By using the Pareto optimization theory, a set of Pareto optimal solutions is obtained. Finally, to choose a velocity from the Pareto optimal set, a strategy considering the subjective and objective comfort indexes from ISO2631 is given. This strategy can be applied to the velocity planning of intelligent vehicles on uneven roads. The simulation results show that the proposed strategy is effective and feasible.
