摘要
动力总成控制对无人驾驶汽车的动态性能和经济性起着重要的作用。为了提高车辆在路径跟踪过程中的动力性和经济性,提出了一种基于能量最优化的路径跟踪控制策略。控制策略分为两部分,在上层控制器中使用非线性模型预测控制来计算所需要的动力参数和前轮转角。下层控制器采用基于电机能耗数值最优的方法进行设计。该方法可以确保电机一直运行在效率最优状态,并可根据电机状态动态调节无级变速器以满足车辆动力需求。仿真结果表明,控制方案具有良好的跟踪性能和节能潜力。
Powertrain control is important to the dynamic performance and economy of driverless cars and a path following control strategy based on energy optimization is proposed.The control strategy includes two parts.The nonlinear model predictive control is used in the upper controller to calculate the required power parameters and front wheel angle.The lower-level controller is designed based on the optimal value of motor energy consumption which ensure the motor being always running at the optimal state of efficiency.In addition,the continuously variable transmission(CVT)is dynamically adjusted according to the motor state to meet the vehicle power demand.The simulation results show that the control scheme has good tracking performance and energy saving potential.
作者
吴小龙
夏甫根
陈静
徐佳
Wu Xiaolong;Xia Fugen;Chen Jing;Xu Jia(School of Vehicle Engineering,Chongqing University of Technology,Chongqing 400054,China;Chengdu Yiwei New Energy Automobile Co.,Ltd.,Chengdu 610015,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第1期163-169,共7页
Journal of System Simulation
基金
四川省科技厅重点研发项目(2019YFG0528)。
关键词
无人驾驶汽车
动力总成系统
路径跟踪控制
数值优化
无级变速器
autonomous vehicle
powertrain system
path following control
numerical optimization
continuously variable transmission
