Planning for electric vehicle needs by coupling charging profiles with urban mobility



The rising adoption of plug-in electric vehicles (PEVs) leads to the temporal alignment of their electricity and mobility demands. However, mobility demand has not yet been considered in electricity planning and management. Here, we present a method to estimate individual mobility of PEV drivers at fine temporal and spatial resolution, by integrating three unique datasets of mobile phone activity of 1.39 million Bay Area residents, census data and the PEV drivers survey data. Through coupling the uncovered patterns of PEV mobility with the charging activity of PEVs in 580,000 session profiles obtained in the same region, we recommend changes in PEV charging times of commuters at their work stations and shave the pronounced peak in power demand. Informed by the tariff of electricity, we calculate the monetary gains to incentivize the adoption of the recommendations. These results open avenues for planning for the future of coupled transportation and electricity needs using personalized data.

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We would like to thank ChargePoint for providing the electric vehicle charging data and Airsage for providing the call detail records used in this study. We also would like to thank S. Kiliccote and M. Tabone for their valuable feedback. This work was supported by the Siebel Energy Institute and MIT Energy Initiative.

Author information

Author notes

  1. These authors contributed equally: Yanyan Xu and Serdar Çolak.


  1. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

    • Yanyan Xu
    • , Serdar Çolak
    •  & Marta C. González
  2. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    • Serdar Çolak
    •  & Marta C. González
  3. SLAC National Accelerator Laboratory, Menlo Park, CA, USA

    • Emre C. Kara
  4. Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA

    • Scott J. Moura
  5. Department of City and Regional Planning, University of California, Berkeley, CA, USA

    • Marta C. González


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Y.X., S.C. and E.C.K. conceived the research and designed the analyses. Y.X., S.C. and M.C.G. performed the analyses and wrote the paper. S.J.M. and M.C.G. provided general advice and supervised the research.

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to Marta C. González.

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