| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 02028 | |
| Number of page(s) | 5 | |
| Section | New Energy Development and Energy Sustainable Development Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202021802028 | |
| Published online | 11 December 2020 | |
Optimal user oriented multi-level experience planning strategy for electric automobile charging path
1
State Grid Electric Vehicle Service Co., Ltd., 100053 Beijing, China
2
Tsinghua Sichuan Energy Internet Research Institute, 610042 Chengdu, China
* Corresponding author: zhaoyangneepu@163.com
Focusing on the battery-charging problem that is brought to the electric automobile users, this paper integrated the “automobile-network-path” multi-source information and presented the multi-level user experience index system which combined charging prices, driving distances, degrees of traffic congestion and other factors. The recommended algorithm and model for charging strategy was built up to improve the user experience. Meanwhile, it invoked map Application Programming Interface (API) to plan multiple paths. Consolidated by the status of charging piles, the distance between the automobile and the piles, the charging prices along with more real-time information, the multi-level user oriented experience index system was set up to recommend an optimal navigation route to the charging station for the automobile owners. Validated by the application results, the proposed algorithm that helped navigate to the charging stations or piles can effectively solve the practical problems1 such as difficulty in orienting the charging piles, waiting in lines, and high charging fees.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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