%0 Journal Article
%A CHEN Chen
%A LIU Chen
%A XIU Jia-peng
%A YANG Zheng-qiu
%T Research on Path Optimization of Electric Vehicle Power Station Battery Dispatching
%D 2014
%R 10.13190/j.jbupt.2014.03.024
%J Journal of Beijing University of Posts and Telecommunications
%P 120-124
%V 37
%N 3
%X <p>On the basis of analyzing electric vehicle power station operation mode and aiming at the dynamic changes of power station requirements, a two-phase mathematic programming model based on power station center is presented for dynamic vehicle routing problem. And a new adaptive genetic algorithm is designed for dynamic vehicle routing problem. Aiming at the real time of dynamic vehicle scheduling problem, the two-phase solution of &quot;initial path stage&quot; and &quot;real-time dynamic scheduling stage&quot; are established, which optimizes sub-routes through continuously updating information and inserting the dynamic needs power stations. Simulation validates the effectiveness of the model and the algorithm.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2014.03.024