Abstract
While electric vehicle users enjoy the convenience of electrified transportation, their random driving characteristics and disorderly charging will cause traffic congestion and aggravate the peak valley difference of power grid load. An electric vehicle charging navigation strategy that takes into account the idle rate and dynamic tariff is proposed in this paper, which improves the load characteristics and reduce traffic congestion. Firstly, the electric vehicle charging navigation model with the integration of “four networks and four flows” is established. The interaction effect between the charging demand of electric vehicle users and the information network, traffic network, power grid is analyzed. Secondly, the multi-dimensional spatial and temporal characteristics of the empty-loading ratio of the electric taxi are studied. The optimal charging period for electric vehicle users is determined by the intelligent charging navigation terminal based on real-time road condition information. The path planning is carried out with the goal of minimizing the comprehensive cost of charging time and dynamic charging cost, and the electric taxi is guided to the optimal charging station to achieve orderly charging in space. Finally, taking the coupling system of traffic network and power grid in an urban area as an example, the proposed strategy is simulated and analyzed. The results show that this strategy can effectively balance the load of each charging station, improve the load characteristics of distribution network, which can effectively divert traffic flow, alleviate traffic congestion, and improve the operating income of electric taxi.
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