Battery capacity design for electric vehicles considering the diversity of daily vehicles miles traveled. (November 2016)
- Record Type:
- Journal Article
- Title:
- Battery capacity design for electric vehicles considering the diversity of daily vehicles miles traveled. (November 2016)
- Main Title:
- Battery capacity design for electric vehicles considering the diversity of daily vehicles miles traveled
- Authors:
- Li, Zhiheng
Jiang, Shan
Dong, Jing
Wang, Shoufeng
Ming, Zhennan
Li, Li - Abstract:
- Highlights: Provide a non-parametric distribution model of daily vehicle miles traveled (DVMT). Highlight the importance of the diversity average daily travel distance and daily travel distance in different days. Propose a convenient tool to design battery capacity with respect to the diversity of DVMT. Abstract: In this paper, we study battery capacity design for battery electric vehicles (BEVs). The core of such design problems is to find a good tradeoff between minimizing the capacity to reduce financial costs of drivers and increasing the capacity to satisfy daily travel demands. The major difficulty of such design problems lies in modeling the diversity of daily travel demands. Based on massive trip records of taxi drivers in Beijing, we find that the daily vehicle miles traveled (DVMT) of a driver (e.g., a taxi driver) may change significantly in different days. This investigation triggers us to propose a mixture distribution model to describe the diversity in DVMT for various driver in different days, rather than the widely employed single distribution model. To demonstrate the merit of this new model, we consider value-at-risk and mean-variance battery capacity design problems for BEV, with respect to conventional single and new mixture distribution models of DVMT. Testing results indicate that the mixture distribution model better leads to better solutions to satisfy various drivers.
- Is Part Of:
- Transportation research. Volume 72(2016)
- Journal:
- Transportation research
- Issue:
- Volume 72(2016)
- Issue Display:
- Volume 72, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 72
- Issue:
- 2016
- Issue Sort Value:
- 2016-0072-2016-0000
- Page Start:
- 272
- Page End:
- 282
- Publication Date:
- 2016-11
- Subjects:
- Battery electric vehicle (BEV) -- Daily vehicle miles traveled (DVMT) -- Battery capacity design
Transportation -- Periodicals
Transportation -- Technological innovations -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0968090X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trc.2016.10.001 ↗
- Languages:
- English
- ISSNs:
- 0968-090X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274620
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- 8107.xml