出版社：Canadian Research & Development Center of Sciences and Cultures
其他摘要：To eliminate range anxiety of electric vehicle and to facilitate long-distance travel, the industry has developed a new concept which is called Battery Swap Station (BSS). While this battery swapping mode faces a big challenge, that is, to minimize the battery charging cost, how to manage the inventory of full available batteries to meet battery swapping demand facing the time-varying electricity prices. In this work, we propose a finite horizon Markov decision process model to explore this problem. We derive a series of structural properties and characterize the optimal charging policy. An efficient monotone backward induction algorithm is provided to solve the finite horizon stochastic dynamic program.
