Abstract
In order to decrease the cost for those electric logistics vehicles, it's necessary to consider respond the lower real-time price in the electricity market when the EV is prepared for charging electricity and find an optimal distribution scheme; the key problem is in constructing an optimal model and find proper optimization solving approach. Firstly, based on the constructed information system, the variation characteristics of real-time price and the charging/discharging characteristics of the battery are analyzed. Secondly, the mathematical model of minimizing the cost of electric logistics vehicles is constructed. Various constraints, such as battery capacity limit, road accessibility, and whether a charging station is available, are considered. Then, with the improved dynamic programming, the discussed problem is easy to be solved when being converted into multi-stage decision-making. Finally, an example demonstrates how electric logistics vehicles respond to real-time prices. Those findings can verify the proposed model and solution approach are valid.
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