Abstract
Long charging duration and limited charging facilities for electric vehicles have led to range anxiety among users. In order to solve the charging problem of electric vehicles and improve user's satisfaction with charging, this paper analyzes the causes of range anxiety, and proposes an elastic charging strategy in line with electric vehicles. In addition, a quantitative model of user satisfaction is established, and in the charging optimization strategy, the influence on other users' satisfaction is considered, and the optimization is carried out with the goal of maximizing the sum of all users' satisfaction. The greedy algorithm is used to solve the optimization problem, and then a distributed approximate algorithm is proposed, which can obtain better optimization result. It not only controls the user's travel time within the acceptable range, but also takes into account the charging experience of other users. Experimental results show that the algorithm improves the sum of all users' satisfaction.
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