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Optimal Location of Charging Station of Electric Bus in Battery Replacement Mode

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 62))

Abstract

Electric vehicle charging mode determines the efficiency of electric vehicle charging, there are three charging modes-slow charging mode, fast charging mode and battery replacement mode. Electric bus (e-bus) is widely used in battery replacement mode. However, it is lack of theoretical guidance for the optimal locations of charging facilities for e-bus in battery replacement mode. In this paper, given the regional charging demand and considering the battery replacement mode, a mathematical model has been developed. Particle swarm optimization algorithm is proposed for solving this model. A case study on planning the locations of e-bus charging stations in Nanjing, China is presented. The results suggest that model can be used to locate e-bus charging station in battery replacement mode and provide reference for the optimal locations of charging facilities for e-bus.

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References

  1. Frade I, Ribeiro A, Gonçalves G, Antunes A (2011) Optimal location of charging stations for electric vehicles in a neighborhood in Lisbon, Portugal. Transp Res Rec: J Transp Res Board 2252. Transportation research record of the National Academies, Washington, DC, pp 91–98

    Google Scholar 

  2. Ke BR, Chung CK, Chen YC (2016) Minimizing the costs of constructing an all plug-in electric bus transportation system: a case study in Penghu. Appl. Energy 177:649–660

    Article  Google Scholar 

  3. Lajunen A (2014) Energy consumption and cost-benefit analysis of hybrid and electric city buses. Transp. Res. Part C: Emerg. Technol. 38:1–15

    Article  Google Scholar 

  4. Dong J, Liu C, Lin Z (2014) Charging infrastructure planning for promoting battery electric vehicles: an activity-based approach using multiday travel data. Transp. Res. Part C: Emerg. Technol. 38:44–55

    Article  Google Scholar 

  5. Church R, ReVelle C (1974) The maximal covering location problem. Pap. Reg. Sci. 32:101–118

    Article  Google Scholar 

  6. Farahani RZ, Asgari N, Heidari N, Hosseininia M, Goh M (2012) Covering problems in facility location: a review. Comput. Ind. Eng. 62:368–407

    Article  Google Scholar 

  7. Daskin MS (2008) What you should know about location modeling. Naval Res. Logist. (NRL) 55:283–294

    Article  MathSciNet  MATH  Google Scholar 

  8. Hodgson MJ (1990) A flow-capturing location-allocation model. Geogr Anal 22:270–279

    Article  Google Scholar 

  9. Kim JG, Kuby M (2012) The deviation-flow refueling location model for optimizing a network of refueling stations. Int J Hydrogen Energy 37:5406–5420

    Article  Google Scholar 

  10. Huang Y, Li S, Qian Z (2015) Optimal deployment of alternative fueling stations on transportation networks considering deviation paths. Netw Spat Econ 15:183–204

    Article  MathSciNet  MATH  Google Scholar 

  11. Hakimi SL (1964) Optimum locations of switching centers and the absolute centers and medians of a graph. Oper Res 12:450–459

    Article  MATH  Google Scholar 

  12. Dantrakul S, Likasiri C, Pongvuthithum R (2014) Applied p-median and p-center algorithms for facility location problems. Expert Syst Appl 41:3596–3604

    Article  Google Scholar 

  13. Riemann R, Wang D, Busch F (2015) Optimal location of wireless charging facilities for electric vehicles: flow-capturing location model with stochastic user equilibrium. Transp Res Part C: Emerg Technol 58:1–12

    Article  Google Scholar 

  14. He SY, Kuo YH, Wu D (2016) Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: a case study of Beijing, China. Transp Res Part C: Emerg Technol 67:131–148

    Article  Google Scholar 

  15. Zhu Z, Gao Z, Zheng J, Du H (2016) Charging station location problem of plug-in electric vehicles. J Transp Geogr 52:11–22

    Article  Google Scholar 

  16. Li S, Huang Y, Mason S (2016) A multi-period optimization model for the deployment of public electric vehicle charging stations on network. Transp Res Part C: Emerg Technol 65:128–143

    Article  Google Scholar 

  17. Jung J, Chow J, Jayakrishnan R, Park J (2014) Stochastic dynamic itinerary interception refueling location problem with queue delay for electric taxi charging stations. Transp Res Part C: Emerg Technol 40:123–142

    Article  Google Scholar 

  18. He F, Yin Y, Zhou J (2015) Deploying public charging stations for electric vehicles on urban road networks. Transp Res Part C: Emerg Technol 60:227–240

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the key technology of charging station network construction and operation in Nanjing No. Ks1513, the “Fundamental Research Funds for the Central Universities” and the “Research and Innovation Project for College Graduates of Jiangsu Province” No. SJLX15_0063.

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Correspondence to Yong Zhang .

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Xiang, Y., Zhang, Y. (2017). Optimal Location of Charging Station of Electric Bus in Battery Replacement Mode. In: Zeng, X., Xie, X., Sun, J., Ma, L., Chen, Y. (eds) International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings. ITASC 2017. Smart Innovation, Systems and Technologies, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-10-3575-3_13

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  • DOI: https://doi.org/10.1007/978-981-10-3575-3_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3574-6

  • Online ISBN: 978-981-10-3575-3

  • eBook Packages: EngineeringEngineering (R0)

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