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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yokoi, Y. Ichikawa, S. Doki, S. Okuma, S. Naitou, T. Shiimado, T. Miki, N. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Nagoya Univ., Japan (Yokoi, Y.; Ichikawa, S.; Doki, S.; Okuma, S.) |
| Abstract | Energy management systems that consider a whole driving pattern have been proposed to improve the fuel consumption and the emissions of hybrid electric vehicles. In this research, we propose a new energy management system that includes a driving pattern prediction system. The proposed method pay attention to a commuting to work because a commuting occupies the large portion of mileage and are repeated day-to-day. Therefore the database of driving patterns can be simply constructed by the proposed clustering method, and the future driving pattern can be predicted from the database. In this paper, it is shown that the actual driving pattern is changed by external factors, and we propose an improve method of driving pattern prediction. The experimental result shows the availability of the proposed system. |
| Starting Page | 1727 |
| Ending Page | 1732 |
| File Size | 827612 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780387309 |
| DOI | 10.1109/IECON.2004.1431842 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-02 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy management Hybrid electric vehicles Databases Medical services Torque Prediction methods Batteries Pattern matching Computer science Fuels |
| Content Type | Text |
| Resource Type | Article |
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