期刊
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
卷 54, 期 -, 页码 74-81出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2017.05.005
关键词
Electric vehicle; Energy efficiency; Road gradient; Fixed effect model
资金
- Ministry of Economy, Trade and Industry (METI)
- Ministry of Education, Culture, Sports, Science and Technology, Japan [25289164]
- Japan Society for the Promotion of Science
- Japan Digital Road Map Association
- JSPS Fellowship [L13545]
- National Natural Science Foundation of China [51378091]
- Fundamental Research Funds for the Central Universities of China [DUT12ZD203, DUT15QY14]
- Grants-in-Aid for Scientific Research [25289164, 16H02367] Funding Source: KAKEN
We investigate the impact of road gradient on the electricity consumption of electric vehicles (EVs) by combining long-term GPS tracking data with digital elevation map (DEM) data for roads in Aichi prefecture, Japan. Eight regression models are constructed and analysed to compare the differences between linear and logarithmic forms of trip energy consumption, differences between considering the road gradient or not, and differences between considering the fixed effects of EVs or not. By categorizing gradients and assigning a percentage of the trip distance to each category, a significantly better model of electricity consumption can be achieved. The results of this study are a novel contribution toward understanding the challenges and benefits associated with downgrade braking on energy regeneration. (C) 2017 Elsevier Ltd. All rights reserved.
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