In order to improve the efficiency of electric vehicles (EV) participating in logistics distribution and to avoid the impact of massive disordered charge on safe operation of the distribution system, this paper presents a charging service fee model based on real-time traffic information sensing by crowd sensing technology to achieve the messages about real time traffic status and charging station information, and proposes a waiting time estimation model in the charging station based on queue theory. Considering the constraints of route selection, time, battery capacity, cargo capacity and operating voltage in distribution system, this paper constructs a model of EV path optimization and charging navigation which minimizes the sum of logistics travel time cost, waiting time cost, battery depreciation cost and fast charging cost. A comprehensive numerical simulation is conducted on the 33-node logistics distribution system in a city center within 50×50 km zone. The results show that considering the real-time information sensing can reduce the logistics distribution cost effectively and alleviate the harmful effect on distribution system operation stability.