EV usage patterns

EV behaviour

• Review: Li et al. (2023)

Charging decision

How do we model users charging decision in agent based model. Where we are trying to reach user equilibrium (UE) ? What does it mean for users activity schedule to be optimal including charging.

Possible charging types

For our usecase, sensoric data from one of the major car manufacturers could be utilized.

• BEAM (“BEAM New Sustainable Transportation Initiative” n.d.)
  
• Questionares with derived choice models (Pan, Yao, and MacKenzie 2019; Wen, MacKenzie, and Keith 2016) second paper not available for CTU institutional access
• (Wang et al. 2017) menitoned in BEAM
• Review: Potoglou, Song, and Santos (2023)

References

“BEAM New Sustainable Transportation Initiative.” n.d. https://transportation.lbl.gov/beam/. Accessed July 15, 2026.

Li, Xiaohui, Zhenpo Wang, Lei Zhang, Fengchun Sun, Dingsong Cui, Christopher Hecht, Jan Figgener, and Dirk Uwe Sauer. 2023. “Electric Vehicle Behavior Modeling and Applications in Vehicle-Grid Integration: An Overview.” Energy 268 (April): 126647. https://doi.org/10.1016/j.energy.2023.126647.

Pan, Long, Enjian Yao, and Don MacKenzie. 2019. “Modeling EV Charging Choice Considering Risk Attitudes and Attribute Non-Attendance.” Transportation Research Part C: Emerging Technologies 102 (May): 60–72. https://doi.org/10.1016/j.trc.2019.03.007.

Potoglou, Dimitris, Rongqiu Song, and Georgina Santos. 2023. “Public Charging Choices of Electric Vehicle Users: A Review and Conceptual Framework.” Transportation Research Part D: Transport and Environment 121 (August): 103824. https://doi.org/10.1016/j.trd.2023.103824.

Wang, Dai, Junyu Gao, Pan Li, Bin Wang, Cong Zhang, and Samveg Saxena. 2017. “Modeling of Plug-in Electric Vehicle Travel Patterns and Charging Load Based on Trip Chain Generation.” Journal of Power Sources 359 (August): 468–79. https://doi.org/10.1016/j.jpowsour.2017.05.036.

Wen, Yuan, Don MacKenzie, and David R. Keith. 2016. “Modeling the Charging Choices of Battery Electric Vehicle Drivers by Using Stated Preference Data.” Transportation Research Record 2572 (1): 47–55. https://doi.org/10.3141/2572-06.