Optimization of hybrid bus fleet operations in wireless on-route charging environment
To solve the joint optimization problem of wireless charging facility site selection and the operation strategy of oil electric hybrid fleet,a mixed-integer programming model con-sidering constraints such as bus operating conditions and pure electric bus electricity consumption was established,with the goal of minimizing total operating costs(including bus usage costs,carbon emission costs,and wireless charging facility construction costs),and achieving optimization of the opera-tion and scheduling of hybrid oil and electric vehicle fleets in wireless charging environments.The adaptive large neighbor-hood search algorithm was used to solve the model,and desig-ning relevant examples to simulate different fleet compositions and charging strategies,while analyzing the total operating costs under different situations.In addition,the sensitivity of the charging power of wireless charging facilities to the results was studied to better understand the performance and robust-ness of this model.The results show that in a wireless charging environment,the total operating cost of the hybrid bus fleet is the lowest,and as the wireless charging power increases,the planned number of wireless charging stations and the invest-ment in fuel vehicles will decrease.The wireless charging sta-tion site selection and hybrid oil electric vehicle fleet schedu-ling model established in this article can effectively reduce the total operating cost of bus fleet.
urban trafficoil electric hybrid bus fleetwire-less chargeoptimization of bus fleet operationsmixed-inte-ger programming model
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