分布式电驱动汽车自适应稳定性控制研究

Research on adaptive stability control of distributed drive electric vehicles

针对车辆行驶状况的复杂性及多变性,为提高车辆行驶稳定控制效果,提出一种模糊自适应稳定性控制策略。为削弱滑模变结构的抖动并增加切换增益函数的适应性,采用模糊控制规则对其进行动态调整决策出最佳值,以此作为车辆横向稳定性控制基础。为发挥四轮驱动及制动可独立控制的优势,以轮胎附着裕量为依托优化分配各轮旋转力矩。对控制策略的有效性进行单移线试验,结果表明,模糊自适应稳定性控制策略有效降低了滑模变结构控制的抖动,提高了车辆稳定性的极限值。

In response to the complexity and variability of vehicle driving conditions,a fuzzy adaptive stability control strategy was proposed to improve the effectiveness of vehicle driving stability control.To weaken the jitter of sliding mode variable structure and increase the adaptability of switching gain function,fuzzy control rules were used to dynamically adjust and determine the optimal value,which served as the basis for vehicle lateral stability control.To leverage the advantages of independent control of four-wheel drive and braking,the distribution of rotational torque for each wheel was optimized based on tire adhesion margin.The results of the single lane change test showed that the fuzzy adaptive stability control strategy effectively reduced the jitter of sliding mode variable structure control and improved the limit value of vehicle stability.