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Blueprint of Driving Without Emission: EV with Intelligent Charging Stations Network

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Complex, Intelligent, and Software Intensive Systems (CISIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 993))

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Abstract

The improvement of infrastructure is conducive to promoting the development and popularization of electric vehicles, and different countries and regions have different situations. We have developed the Development Strategy Selection Model (DSM) for countries to judge their own situation and choose the best development strategy, and use the Strategic Effectiveness Evaluation Model (SEM) to measure the effectiveness of the strategy. We think that people’s travel demand can be divided into short-distance travel demand and long-distance travel demand, so the demand of charging station can also be divided into fast charging demand and normal charging demand. We have developed point-based planning model (POM) and path-based programming model (PAM) to calculate these two needs. We select the cases of China and the United States for analysis, and the results show that our model has a good estimation effect.

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Acknowledgement

This work was supported by the Zhongnan University of Economics and Law (2722019JCT035,2722019JCG074), the National Natural Science Foundation of China (61602518), and the Fundamental Research Funds for the Central Universities National Social Science Fund of China (NO:16CXW019).

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Authors and Affiliations

  1. Zhongnan University of Economics and Law, 182 Nanhu Avenue, Hongshan District, Wuhan, Hubei, China

    Xu Chen, Deliang Zhong, Shuhong You, Shuqi Yang, Shudong Liu & Yipeng Li

  2. Computer School, Hubei University of Technology, Wuhan, China

    Na Deng

Authors
  1. Xu Chen
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  2. Deliang Zhong
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  3. Shuhong You
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  4. Shuqi Yang
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  5. Na Deng
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  6. Shudong Liu
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  7. Yipeng Li
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Corresponding author

Correspondence to Na Deng .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Leonard Barolli

  2. School of Software, University of Technology Sydney (UTS), Ultimo, NSW, Australia

    Farookh Khadeer Hussain

  3. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Faculty of Information Engineering, Fukuoka, Japan

    Makoto Ikeda

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Chen, X. et al. (2020). Blueprint of Driving Without Emission: EV with Intelligent Charging Stations Network. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_10

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