Charging Guiding Strategy for Electric Taxis Based on Consortium Blockchain

【Author】 Jin, Zhigang; Wu, Ruoqian; Chen, Xingyu; Li, Gen

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】The issues in charging guiding for electric vehicles are meaningful studies in recent years, especially for electric taxis which need to be recharged during working hours. However, with the popularity of taxi-booking apps, how to obtain an effective charging guiding for taxis having advance orders becomes an urgent problem to be solved. To optimize various special interests while satisfying the constraints of online advance orders, a charging guiding strategy based on consortium blockchain is proposed in this paper. Firstly, a taxi charging guiding architecture based on consortium blockchain is designed, and an improved practical byzantine fault tolerance algorithm is proposed to solve the problem of charging information disconnection and trust between multiple charging station operators. Secondly, we establish the charging guiding model for electric taxis based on multi-objective optimization. The model aims to meet the constraints of online advance orders, maximize passengers' satisfaction and operators' service efficiency, and minimize the charging costs of taxis. Finally, the optimization model is solved by quantum-behaved particle swarm optimization. In order to verify the effectiveness of the proposed guiding strategy, main urban areas of a city are taken as examples for simulation. The results show that the proposed strategy has increased the passengers' satisfaction by 0.44%, and has decreased the expense cost, the time cost and distance cost by 2.38%, 5.72%, and 17.25% respectively, comparing with PSO based strategy while balancing the utilization of charging equipment.

【Keywords】Electric taxis; consortium blockchain; charging guiding; multi-objective optimization; particle swarm optimization

【发表时间】2019

【收录时间】2022-01-02

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