Cooperative charging management for electric vehicles via mobile edge computation

Abstract Unplanned charging supervision of electric vehicles may deteriorate their penetration in alleviating pollution and reducing the driving efficiency, and proper management is critical to reduce charging waiting time and efficiently design driving behaviours from spots to charging stations. Motivated by this, a novel bi-functional charging management strategy in virtue of the mobile edge computation based framework is proposed in this study to effectively book the charging piles with less waiting time and meanwhile achieve better energy efficiency during charging booking. First, a novel charging booking algorithm is developed to determine the most suitable charging station and optimally plan the shortest route to the preferred charging station. Second, a driving behaviour optimization method is designed to plan the efficient velocity profile of the trip to the selected station under the constrained time calculated by the charging booking algorithm. The simulation analysis validates that the proposed bi-functional management strategy can reasonably book suitable charging stations and efficiently reduce energy consumption in the charging booking process, highlighting its anticipated preferable performance.