Abstract
Battery charging and battery swapping are the two major techniques to re-energize an electric vehicle. This paper for the first time looks into the joint control problem in a battery charging and swapping station that adopts both re-energizing techniques. A cost minimization problem in the form of mixed integer linear programming is formulated to optimally find the amount charging power and/or the battery pack to swap in at the same time for each EV that requests service. The utility cost under a dynamic energy pricing scheme and the cost associated with battery aging are carefully modeled. Experimental results show that the proposed optimization framework consistently reduce the total energy cost by 80%, 11% and 63% comparing with three baseline algorithms.
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