摘要
为提升汽车的爬坡性能,进行了某全时四驱SUV(运动型多用途汽车)的爬坡性能计算、分析及优化研究。考虑风阻对爬坡度的影响,建立汽车爬坡动力学模型,分别从驱动力条件和地面附着条件进行了最大爬坡度的理论值计算;应用AVL Cruise软件对全时四驱SUV理论模型进行验证及动力性和经济性分析,并与相同整车参数的前驱、后驱SUV进行爬坡度对比;基于遗传算法对汽车爬坡性能及燃油经济性进行参数优化。结果表明:相同整车参数条件下,全时四驱方式爬坡度明显优于前驱、后驱方式;应用遗传优化算法可在燃油经济性约束条件下明显提升SUV爬坡性能。
In order to improve climbing performance of vehicle,the analysis and optimization of the climbing performance of an all wheel drive( AWD) SUV( Sport Utility Vehicle) is researched.Taking the wind resistance into consideration,a dynamic model of an AWD SUV is established,and the theoretical maximum climbing degree is calculated from the driving force condition and the ground attachment condition respectively. The AVL Cruise is applied to verify the theoretical model. Theclimbing degree of AWD,front drive and rear drive SUV with the same vehicle parameters are compared. To enhance the climbing performance,the genetic algorithm is used to optimize vehicle parameters. The results show that the climbing degree of AWD drive is better than that of the front and rear drive with the same vehicle parameters,and the optimization algorithm can significantly improve the climbing performance under the constraint of fuel economy.
出处
《重庆理工大学学报(自然科学)》
CAS
2017年第12期8-14,共7页
Journal of Chongqing University of Technology:Natural Science
基金
国家自然科学基金资助项目(11202096
51775269)
江苏省高校自然科学基金资助项目(kfjj20170222)
汽车零部件先进制造技术教育部重点实验室开放课题基金资助项目(2016KLMT05)
中央高校基本科研业务费专项基金资助项目(NS2016025)
南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj20170222)
关键词
四驱SUV
爬坡性能
经济性
遗传优化
all wheel drive SUV
climbing performance
fuel economy
genetic optimization