Energy minimization for catenary-free mass transit systems using Particle Swarm Optimization
Electrical Systems for Aircraft, Railway and Ship Propulsion(2012)
摘要
In this paper, a train model and algorithm of energy minimization control using Particle Swarm Optimization (PSO) are introduced for a catenary-free mass transit system. The train model is created in MATLAB/Simulink. Since the performance of the train heavily depends on the supercapacitor (SC) voltage. Tractive effort reduction is considered under low SC voltage in the simulations. Impact of coasting point on the running time is investigated and simulation results are used to find optimum coasting point under several constraints, such as running time, charging time, maximum charging current, SC voltage and distance between stations.
更多查看译文
关键词
electric vehicles,minimisation,particle swarm optimisation,supercapacitors,matlab-simulink,pso,sc voltage,catenary-free mass transit systems,energy minimization control,particle swarm optimization,supercapacitor voltage,train model,capacitance
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络