摘要
针对智能四驱电动汽车,利用前方道路地形信息,采用模型预测控制方法,基于转矩控制分配,进行预测节能控制研究.为了降低优化算法的维数,研究全工况下的车轮转矩控制分配方法;基于最优转矩分配系数,采用动态规划算法求解模型预测控制问题,确定给定路径上的最优速度轨迹,并分析优化变量间的影响关系.仿真结果表明,所研究的预测节能控制方法可以有效降低车辆行驶路程上的能量消耗,其中速度优化具有主要作用.
Aimed at the intelligent four-wheel-independent-drive(4 WD)electric vehicle,and taking the advantage of the road and traffic information ahead,this paper investigated the predictive energy saving control based on the torque control allocation,by adopting the model predictive control(MPC)frame.To reduce the dimensions of the optimization algorithm,the optimal torque distribution coefficient with maximum system efficiency in all driving condition was studied.Based on the optimal torque distribution method,the dynamic program(DP)method was adopted to resolve the MPC problem to obtain the optimal velocity trajectory on a certain trip.Besides,the impacts of each control variable were evaluated.The results show that the predictive energy control proposed in this paper can significantly reduce the energy consumption. Speed optimization plays an important role in energy saving.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第S1期63-68,共6页
Journal of Tongji University:Natural Science
基金
国家自然科学基金(51705383)
国家重点研发计划(2017YFD0700200)
武汉理工大学自主创新基金(2016IVA036)
关键词
智能四驱电动汽车
预测节能控制
速度轨迹优化
转矩控制分配
动态规划
intelligent four-wheel-independent-drive electric vehicle
predictive energy saving control
velocity trajectory optimization
torque control allocation
dynamic program
