Robust planning of dynamic wireless charging infrastructure for battery electric buses
Journal Article
·
· Transportation Research Part C: Emerging Technologies
- Utah State Univ., Logan, UT (United States). Dept. of Civil and Environmental Engineering; Utah State University
- Utah State Univ., Logan, UT (United States). Dept. of Civil and Environmental Engineering
Battery electric buses with zero tailpipe emissions have great potential in improving environmental sustainability and livability of urban areas. However, the problems of high cost and limited range associated with on-board batteries have substantially limited the popularity of battery electric buses. The technology of dynamic wireless power transfer (DWPT), which provides bus operators with the ability to charge buses while in motion, may be able to effectively alleviate the drawbacks of electric buses. In this paper, we address the problem of simultaneously selecting the optimal location of the DWPT facilities and designing the optimal battery sizes of electric buses for a DWPT electric bus system. The problem is first constructed as a deterministic model in which the uncertainty of energy consumption and travel time of electric buses is neglected. The methodology of robust optimization (RO) is then adopted to address the uncertainty of energy consumption and travel time. The affinely adjustable robust counterpart (AARC) of the deterministic model is developed, and its equivalent tractable mathematical programming is derived. Both the deterministic model and the robust model are demonstrated with a real-world bus system. The results of our study demonstrate that the proposed deterministic model can effectively determine the allocation of DWPT facilities and the battery sizes of electric buses for a DWPT electric bus system; and the robust model can further provide optimal designs that are robust against the uncertainty of energy consumption and travel time for electric buses.
- Research Organization:
- Pacificorp, Portland, OR (United States)
- Sponsoring Organization:
- Mountain-Plains Consortium (MPC); USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOT
- Grant/Contract Number:
- EE0007997
- OSTI ID:
- 1429115
- Alternate ID(s):
- OSTI ID: 1549824
- Journal Information:
- Transportation Research Part C: Emerging Technologies, Journal Name: Transportation Research Part C: Emerging Technologies Journal Issue: C Vol. 83; ISSN 0968-090X
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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