TRIP PRICING STRATEGY OF ONE-WAY STATION-BASED ELECTRIC CAR SHARING SYSTEM

摘要

With the rapid development of the sharing model, the carsharing system has been greatly popularized in the whole world, and the electric vehicle sharing system is gradually entering into the public sight. In this paper, we create a mixed-integer non-linear programming (MINLP) model which uses the price to determine the practical demand and get the maximum profit by reducing imbalance under the limitation of vehicle's electricity and station's capacity. This MINLP model is solved with the simulated annealing algorithm by using the python 3.0 and R 3.3.1. With the 30-days data in Wuhu (China), we get the approximate global optimal price table in a specific time interval and using the computational experiments for parameter tuning. Finally, from the case study, it is shown that the profit is higher than running the model without balancing strategy. However, this one is a static model which only achieves the maximum profit in a specific interval instead of a whole day or a month, so more research is needed.