Speed Optimal-setting of Electric Multiple Units Based on Energy-efficient Operation
The operation process of electric multiple units (EMUs) is characterized by complex running environment,and frequent change of operating conditions.It is difficult to accomplish energy-efficient operation using the given V-S curve (velocity versus position curve).And the alternation of coasting points will have different running time and energy consumption,then appropriate coasting scheme is an effective energy-saving strategy.Based on the traction energy consumption and running time model,we exploit a data-driven RBF (radial basis function) neural network to build a model that connects the coasting points and their corresponding energy consumption and running time.Finally,we adopt GA (genetic algorithms) to optimize the outputs of the RBF,and the speed optimal-setting profile satisfying punctual,energy-efficient operation is obtained.Simulation results show the effectiveness of this method.
electric multiple units energy consumption coasting points RBF genetic algorithms optimization
ZHANG Qiongjie ZHANG Tiezhu
School of Vehicle Engineering Zhengzhou Railway Vocational and Technical College, Henan Zhengzhou
国际会议
重庆
英文
1181-1185
2015-12-19（万方平台首次上网日期，不代表论文的发表时间）