Multiobjective Optimization for Torsional Stiffness of Antiroll Bar on Trucks

The antiroll bar (ARB) plays an important role in reducing the rollover phenomenon and uneven load distribution between the wheels on an axle, thus enhancing the safety and roll stability of vehicles. This study proposes a method for optimizing the torsional stiffness of the ARB on trucks, with three main objectives: (1) building a general model of a two‐axle truck equipped with an ARB on both axles; (2) establishing a multiobjective optimization problem for torsional stiffness using a genetic algorithm; (3) optimizing the ARB stiffness using the Gaussian distribution method through the analysis of 120 different operating scenarios, including double‐lane‐change (DLC) obstacle avoidance and DLC obstacle overtake, as well as steady‐state cornering, at different speeds. The simulation results determined that the optimal torsional stiffness of the ARB on the front axle is 48,002.9798 Nm/rad and on the rear axle is 25,901.801 Nm/rad for a 15‐ton truck. This torsional stiffness value helps reduce the dynamic tire forces acting on the road surface by 6.4% and reduces the load transfer ratio coefficient by up to 20%. These results confirm the effectiveness of the proposed method in improving roll stability, reducing the risk of rollover, and optimizing the torsional stiffness design of the ARB for trucks under various operating conditions.