吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (5): 1175-1187.doi: 10.13229/j.cnki.jdxbgxb.20221061
• 车辆工程·机械工程 •
郭洪艳1,2(),王连冰1,2,赵旭1,3(
),戴启坤1,2
Hong-yan GUO1,2(),Lian-bing WANG1,2,Xu ZHAO1,3(
),Qi-kun DAI1,2
摘要:
为减小侧向运动对整车质量与道路坡度估计精度的影响,提出了一种考虑侧向运动的估计算法,利用加速度修正车辆动力学模型,采用遗忘因子提高新数据适应车辆系统时变特性的最小二乘算法估计整车质量,并将质量估计结果实时输入道路坡度估计中;建立车辆运动学和动力学两个坡度估计模型,并在模型中添加加速度修正项,设计强跟踪滤波算法分别针对2种模型进行道路坡度估计,时变交互多模型融合算法根据两个坡度估计模型的权重系数和模型间的转移概率得到道路坡道估计值。本文算法在中国第一汽车股份有限公司技术中心农安汽车试验场进行了实车试验和评估,与未考虑侧向的融合估计算法相比,提高了车辆横向运动时的道路坡度估计精度。
中图分类号:
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