Optimizing Dispatch And Charging Strategies For Electric Taxi

With the popularity of electric vehicles,numerous cities have adopted electric vehicles as a part of taxi system.As taxi runs all the day,the travelling mileage of electric taxi is longer and the power consumption is much higher,when compared with ordinary passenger electric vehicles.So electric taxis need to be charged frequently.To optimize the charging and operation of electric taxis,we focus on the following works.We consider the problem of optimizing dispatch of electric taxis and charging stations' prices making.Specifically,based on the electricity price control strategy,electric taxis are guided to suitable charing stations deliberately to match a desired dispatch which could improve service quality or operating efficiency of taxis system.In this part,a Stackelberg(leader-followers)game model is proposed to describe the optimal dispatch and price-making problems.The existence of Nash equilibrium of this game is analyzed,and a low computational complexity algorithm that is suitable for large scale problem is designed to solve this game.In addition,a practical situation is simulated and the impacts of several parameters are presented.To maximize the net profit of Plug-in Hybrid Electric Taxi(PHET)in one day,we propose an optimization algorithm for the taxi's charging strategy.As both fuel oil and electricity could be used by PHET,it is possible to adjust the length of time that taxi is driven by electricity for PHET.With the balance that between power cost and revenue,PHET could pursue the maximum net profit with our proposed algorithm that selecting the suitable charging time.Finally,a simulation case verifies the effectiveness of our algorithm.