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作 者:初亮[1] 李天骄[1] 孙成伟[1] Chu Liang;Li Tianjiao;Sun Chengwei(Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130025)
机构地区:[1]吉林大学,汽车仿真与控制国家重点实验室,长春130025
出 处:《汽车工程》2018年第3期277-282,296,共7页Automotive Engineering
基 金:国家863计划项目(2012AA110903)和吉林省产业技术创新战略联盟项目(20150309013GX)资助。
摘 要:本文中为纯电动车提出一种自适应巡航纵向控制方法。首先根据前轴驱动的纯电动轿车构型设计了制动力分配策略,并采用加权最小二乘算法建立了驱动和制动的模式切换规律。接着基于迭代学习方法设计了自适应巡航驱动和制动控制算法。最后在Matlab/Simulink联合仿真平台对本文的纵向控制方法进行仿真,并与传统PID控制方法对比。结果表明,虽然两种方法在车速和车间距的跟随效果相差不大,但与纵向控制相比,PID控制方法的前后轴制动压力和电机转矩有较大波动;在期望加速度的跟随上存在较大误差,而在基准点附近工作时模式切换较为频繁。本文设计的纵向控制方法无论在动态跟随还是稳态保持中对期望加速度都有较好的跟随效果。An adaptive cruise longitudinal control scheme is proposed for battery electric vehicle in this paper.Firstly a braking force distribution strategy is designed according to the front-axle drive configuration ol electric car and a switching rule between driving and braking is established by using weighted least square algorithm.Then an adaptive cruise driving and braking control algorithm is designed based on iterative learning technique.Finally a MATLAB/Simulink co-simulation is conducted on the longitudinal control scheme proposed with comparison to traditional PID control scheme.The results show that two schemes are similar in the effects ol speed and distance following,but compared with the longitudinal control scheme proposed,PID control has a severer fluctuation in braking pressure and motor torque,a larger error in acceleration following and a more frequent mode switching near reference point.The longitudinal control scheme designed has better desired acceleration following effects in both dynamic following and steady state maintenance.
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