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Simulation Study on Layout Optimization of Urban Public Charging Infrastructure Based on Electric Vehicle Charging Demand

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2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1379 ))

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Abstract

With the purpose of further improving the convenience of urban electric vehicle users and the comprehensive utilization efficiency of charging facilities, typical cities are chosen as the research object. According to urban road information, regional population distribution, residents’ trip characteristics, the as-built charging facilities and other information, the charging demand model of electric vehicles is constructed, and the optimized layout of public charging infrastructure in typical cities is developed in combination with traffic flow model, which provide an effective solution for rational allocation of urban charging systems.

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Acknowledgements

This research was supported by the National Key Research and Development Program (Project No. 2019YFE0101900 and 2018YFE0105500).

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Correspondence to Bo Zhang .

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Zhang, B., Liang, Y., Wu, P. (2021). Simulation Study on Layout Optimization of Urban Public Charging Infrastructure Based on Electric Vehicle Charging Demand. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_6

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