节能运行曲线规划是城市轨道交通列车运行控制的热点研究问题,降低牵引能耗是实现节能的主要措施之一。文章针对列车运行曲线对能耗的影响,以长沙地铁4号线为例,结合列车牵引特性以及限速坡度等线路情况,建立了以降低全线牵引能耗为目...节能运行曲线规划是城市轨道交通列车运行控制的热点研究问题,降低牵引能耗是实现节能的主要措施之一。文章针对列车运行曲线对能耗的影响,以长沙地铁4号线为例,结合列车牵引特性以及限速坡度等线路情况,建立了以降低全线牵引能耗为目标的城市轨道交通列车一体化运行曲线优化模型。该模型为双层结构,上层对站间冗余时间进行分配,下层在上层给定的运行时分下实现节能驾驶,并引入不同线性化法则,将模型转换为混合整数线性规划(mixed integer linear programming,MILP)模型,在此框架下采用商业求解器进行求解。仿真结果表明,采用优化模型,系统可达到节能16.5%的效果,验证了模型的有效性和实用性。展开更多
充分考虑高速铁路网络作为多级递阶控制系统的复杂性和对旅客运输服务质量的要求,构建基于时段特定场景的高速铁路列车服务与需求意向集合(t@n-tsdis,train service-demand intention set at network),定义以完成这个集合所需基础设施...充分考虑高速铁路网络作为多级递阶控制系统的复杂性和对旅客运输服务质量的要求,构建基于时段特定场景的高速铁路列车服务与需求意向集合(t@n-tsdis,train service-demand intention set at network),定义以完成这个集合所需基础设施占用时间为网络能力的衡量标准。提出了两阶段的优化计算方法,并提出多目标优化改进的Pareto(1+1)—PAES算法流程,采用交互式滚动优化策略处理整数约束条件、模糊逻辑罚函数法处理连续实数约束条件、Pareto存档进化策略求解多目标优化问题。以某高速铁路网络为例进行能力计算,验证了模型与算法的有效性。展开更多
Based on the multidiscipline design optimization theory, a multidiscipline collaborative optimization model of the differential steering system of electric vehicle with motorized wheels is built, with the steering eco...Based on the multidiscipline design optimization theory, a multidiscipline collaborative optimization model of the differential steering system of electric vehicle with motorized wheels is built, with the steering economy as the main system and the steering road feel, the steering flexibility and the mechanic character of the steering sensors as the subsystems. Considering the coupled relationship of each discipline, the main system is optimized by the multi-island algorithm and the subsystems are optimized by the sequential quadratic programming algorithm. The simulation results show that the steering economy can be optimized by the collaborative optimization, and that the system can get good steering road feel, good steering flexibility and good mechanic character of the steering sensors.展开更多
文摘节能运行曲线规划是城市轨道交通列车运行控制的热点研究问题,降低牵引能耗是实现节能的主要措施之一。文章针对列车运行曲线对能耗的影响,以长沙地铁4号线为例,结合列车牵引特性以及限速坡度等线路情况,建立了以降低全线牵引能耗为目标的城市轨道交通列车一体化运行曲线优化模型。该模型为双层结构,上层对站间冗余时间进行分配,下层在上层给定的运行时分下实现节能驾驶,并引入不同线性化法则,将模型转换为混合整数线性规划(mixed integer linear programming,MILP)模型,在此框架下采用商业求解器进行求解。仿真结果表明,采用优化模型,系统可达到节能16.5%的效果,验证了模型的有效性和实用性。
文摘充分考虑高速铁路网络作为多级递阶控制系统的复杂性和对旅客运输服务质量的要求,构建基于时段特定场景的高速铁路列车服务与需求意向集合(t@n-tsdis,train service-demand intention set at network),定义以完成这个集合所需基础设施占用时间为网络能力的衡量标准。提出了两阶段的优化计算方法,并提出多目标优化改进的Pareto(1+1)—PAES算法流程,采用交互式滚动优化策略处理整数约束条件、模糊逻辑罚函数法处理连续实数约束条件、Pareto存档进化策略求解多目标优化问题。以某高速铁路网络为例进行能力计算,验证了模型与算法的有效性。
基金supported by the National Natural Science Foundation of China (Grant Nos. 51005115, 51205191, and 51005248)the Visiting Scholar Foundation of the State Key Laboratory of Mechanical Transmission in Chongqing University+1 种基金the Research Foundation of National Engineering Laboratory for Electric Vehicles (Grant No. 2012-NELEV-03)the Science Fund of State Key Laboratory of Automotive Safety and Energy(Grant No. KF11202)
文摘Based on the multidiscipline design optimization theory, a multidiscipline collaborative optimization model of the differential steering system of electric vehicle with motorized wheels is built, with the steering economy as the main system and the steering road feel, the steering flexibility and the mechanic character of the steering sensors as the subsystems. Considering the coupled relationship of each discipline, the main system is optimized by the multi-island algorithm and the subsystems are optimized by the sequential quadratic programming algorithm. The simulation results show that the steering economy can be optimized by the collaborative optimization, and that the system can get good steering road feel, good steering flexibility and good mechanic character of the steering sensors.
