Improved MOPSO-based electric taxi newly-built charging station site selection method

A charging station and taxi technology, which is applied in the direction of instruments, calculation models, data processing applications, etc., can solve the problems that affect the accuracy of the location selection model of charging stations, do not consider the driving characteristics of electric vehicles, and are difficult to reflect the spatial and temporal distribution of electric vehicles, etc.

Active Publication Date: 2019-09-27
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology

In the above research methods, the estimation of charging demand does not take into account the actual driving characteristics of electric vehicles, and it is d

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  • Improved MOPSO-based electric taxi newly-built charging station site selection method
  • Improved MOPSO-based electric taxi newly-built charging station site selection method
  • Improved MOPSO-based electric taxi newly-built charging station site selection method

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Embodiment Construction

[0073] The present invention will be described in further detail below in conjunction with the examples.

[0074] The invention discloses an improved MOPSO-based method for selecting the location of a newly built charging station for an electric taxi. The specific process is as follows:

[0075] 0 site selection model construction

[0076] The driving characteristics of urban electric taxis are different from other electric vehicles. Most of their charging needs are generated during the travel process, usually located at a certain point in the urban road network, so they are more suitable for site selection based on point demand. This chapter aims at the site selection of charging stations for electric taxis in cities. In the context of the existing charging stations in the city, a multi-objective new single charging station for electric taxis is proposed considering both the charging demand of taxis and the construction cost of charging stations. Optimizing the siting model,...

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Abstract

The invention relates to an improved MOPSO-based electric taxi newly-built charging station site selection method. An electric taxi newly-built charging station site selection model taking the minimization of the unsatisfied electric taxi charging demand and the minimization of the newly-built charging station fixed cost as the objective functions is constructed, and an improved MOPSO-based model solving method is provided. Meanwhile, in order to solve the performance bottleneck problem when the charge demand is not met, a GPU-based parallel computing algorithm which does not meet the charge demand is designed, and the effectiveness of the GPU-based parallel computing algorithm is verified through experimental comparison; and finally, by taking a certain city in North China as an example, by collecting and processing the related multi-source data, and carrying out application example analysis on the proposed site selection model, it is indicated that the proposed charging station optimized site selection scheme has feasibility, and can provide a beneficial reference for the deep research on the construction and operation of the urban electric taxi charging station.

Description

technical field [0001] This patent application belongs to the technical field of site selection and planning of public facilities, and more specifically, it is a method for site selection of new charging stations for electric taxis based on improved MOPSO. Background technique [0002] As a green vehicle, electric vehicles can basically achieve pollution-free operation during operation. It is an effective measure to alleviate my country's energy crisis and solve current climate problems, so it has been vigorously promoted by the Chinese government. As an important part of urban public transportation, taxis are one of the important media to promote the rapid development of the electric vehicle industry. However, the shortcomings of electric taxis such as short cruising range and difficulty in charging restrict their large-scale popularization in the transportation field. In the reality that there is no great breakthrough in the performance of electric vehicle batteries, the ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/0637G06Q50/06
Inventor 朴春慧武旭晨蒋学红
Owner SHIJIAZHUANG TIEDAO UNIV
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