Research of Battery Optimal Distribution in Charging Station Network Based on Ant Colony Algorithm
Battery optimal distribution in charging station network is vital to normal operation of large-scale new energy vehicles, and is urged to be resolved. It is essentially a typical NP problem of finding the optimal path process. Ant Colony Algorithm (ACA), as a novel swarm intelligence global optimization algorithm, is adopted to solve the problem. First, a mathematical description of battery distribution problem is analyzed. And then, the basic principle of ACA is introduced followed by steps for battery optimal distribution using ACA. Finally, taking a city charging station network for example, compared to simulated annealing algorithm, simulation experiments are carried out using an ACA procedure which is developed by matlab m-language to solve battery optimal distribution. The results show that it is feasible to solve battery optimal distribution problem using ACA.
Electric vehicles Charging station network Battery distribution Ant Colony Algorithm
Qingsheng Shi Yanbo Hui Xiaoping Zhang
College of Electrical Engineering, Henan University of technology, Zhengzhou 450007
国际会议
武汉
英文
695-699
2010-06-06（万方平台首次上网日期，不代表论文的发表时间）