考虑多指标博弈的电动汽车跟车控制  

Car-following control strategy of electric vehicle considering game relation of multiple indexes

作　　者：卢静[1] 金智林[2] LU Jing;JIN Zhilin(Jincheng College of Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学金城学院,南京210016 [2]南京航空航天大学能源与动力学院,南京210016

出　　处：《重庆理工大学学报（自然科学）》2022年第3期48-56,共9页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(51775269);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项目(2016KLMT05)。

摘　　要：当电动汽车处于自动跟车工况时,其制动能量回收效率、跟车安全性和制动舒适性等指标相互矛盾。因此,如何在跟车控制中动态协调上述指标间的博弈关系,是提高电动汽车在自动跟车场景下整体性能的关键问题。针对上述问题,分析并提出了基于跟车博弈模型混合策略纳什均衡的预测控制方法,实现了在滚动优化过程中动态调整指标权重,从而有效提升理论上可回收制动能量占总制动能量的比例。试验结果表明:提出的混合策略模型预测控制算法不仅提高了制动能量回收效率,而且在前车紧急制动的情况下,提高了跟车安全性和制动舒适性。In electric vehicle car-following scenario, the braking energy recovery efficiency is incompatible with car-following safety and brake comfort.Therefore, how to dynamically coordinate the game relations of performance indexes during car-following process is essential to improve overall vehicle performance.In view of the above problems, the predictive control method based on the mixed strategy Nash equilibrium of the car-following game model is proposed, and realizes the dynamic adjustment of the index weight in the rolling optimization process, so as to effectively increase the proportion of theoretically recoverable braking energy in the total braking energy.The experimental results show that the proposed algorithm not only effectively improves the braking energy recovery efficiency, but also enhances the vehicle safety and brake comfort during leading vehicle emergency braking situations.

关 键 词：电动汽车 跟车控制 博弈论 模型预测控制 

分 类 号：U469.72[机械工程—车辆工程]