Developing Operational and Policy Insights into Next Generation Vehicle Needs Based on an Integrated Understanding of the Transportation and Energy System of Systems

Electric vehicles (EVs), especially battery electric vehicles (BEVs), have different characteristics and concerns as compared to internal combustion engine vehicles (ICEVs) such as range limitation, range anxiety, long battery recharging time, lower fuel efficient speed, and recuperation of energy lost during the deceleration phase if equipped with regenerative braking system (RBS). Hence, it is expected that BEV and ICEV drivers will have different travel behaviors, e.g. route choice. With increasing the market penetration of BEVs, this difference in travel behavior will have implications on the network performance, especially in terms of system travel time and overall energy consumption. This study develops a multi-class dynamic user equilibrium (MCDUE) model to evaluate the traffic network performance under equilibrium conditions for mixed traffic flow with BEVs and ICEVs by accounting for the difference in their route choice behavior. Further, the driving range of an EV decreases due to battery degradation with use and time. This can make EVs less attractive for consumers as battery replacement is expensive. This study develops a multi-paradigm modeling framework integrating microscopic traffic simulation model, EV energy consumption model, battery circuit model, and semi-empirical battery degradation model to study the impacts of EV travel patterns on battery lifespan.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Maps; References; Tables;
  • Pagination: 76p

Subject/Index Terms

Filing Info

  • Accession Number: 01646049
  • Record Type: Publication
  • Report/Paper Numbers: NEXTRANS Project No. 107PUY2.1
  • Contract Numbers: DTRT12-G-UTC05
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Sep 8 2017 7:39AM