Optimal user oriented multi-level experience planning strategy for electric automobile charging path
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 con...
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EDP Sciences
2020-01-01
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doaj-c69bbedf4f26453f8a50b99f751175bd2021-04-02T16:02:26ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012180202810.1051/e3sconf/202021802028e3sconf_iseese2020_02028Optimal user oriented multi-level experience planning strategy for electric automobile charging pathWang Wen0Peng Xiaofeng1Jia Jun2Zhao Ji3Xiao Wei4Su Shu5State Grid Electric Vehicle Service Co., Ltd.State Grid Electric Vehicle Service Co., Ltd.Tsinghua Sichuan Energy Internet Research InstituteTsinghua Sichuan Energy Internet Research InstituteTsinghua Sichuan Energy Internet Research InstituteState Grid Electric Vehicle Service Co., Ltd.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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/78/e3sconf_iseese2020_02028.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Wen Peng Xiaofeng Jia Jun Zhao Ji Xiao Wei Su Shu |
spellingShingle |
Wang Wen Peng Xiaofeng Jia Jun Zhao Ji Xiao Wei Su Shu Optimal user oriented multi-level experience planning strategy for electric automobile charging path E3S Web of Conferences |
author_facet |
Wang Wen Peng Xiaofeng Jia Jun Zhao Ji Xiao Wei Su Shu |
author_sort |
Wang Wen |
title |
Optimal user oriented multi-level experience planning strategy for electric automobile charging path |
title_short |
Optimal user oriented multi-level experience planning strategy for electric automobile charging path |
title_full |
Optimal user oriented multi-level experience planning strategy for electric automobile charging path |
title_fullStr |
Optimal user oriented multi-level experience planning strategy for electric automobile charging path |
title_full_unstemmed |
Optimal user oriented multi-level experience planning strategy for electric automobile charging path |
title_sort |
optimal user oriented multi-level experience planning strategy for electric automobile charging path |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
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. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/78/e3sconf_iseese2020_02028.pdf |
work_keys_str_mv |
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1721558376843837440 |