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2023 | OriginalPaper | Chapter

8. Implementation of Intelligent EV Charging/ Battery-Swapping Scheduling Based on Multi-source Information Fusion

Authors : Keqiang Li, Mingyuan Bian, Yugong Luo, Jianqiang Wang

Published in: The Intelligent Environment Friendly Vehicle

Publisher: Springer Nature Singapore

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Abstract

Different from i-HEVs, the optimal control of intelligent electric vehicles requires guaranteeing the efficient and safe operation of the traffic system and the power grid system due to the existence of charging process. Therefore, a charging/battery-swapping scheduling solution is needed for intelligent electric vehicles. In this chapter, a charging/battery-swapping scheduling strategy is designed according to the different charging/battery-swapping characteristics of fast-charging, slow-charging and battery-swapping electric vehicles, as well as the different driving characteristics of electric private cars, electric taxis and electric buses, to realize the comprehensive optimization of traffic and power grid.

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Metadata
Title
Implementation of Intelligent EV Charging/ Battery-Swapping Scheduling Based on Multi-source Information Fusion
Authors
Keqiang Li
Mingyuan Bian
Yugong Luo
Jianqiang Wang
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-4851-0_8

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