@inproceedings{e76e7703693b4424ba8183266286f87d,
title = "Design and Implementation of an Eco Electric Vehicle Energy Management System",
abstract = "Nowadays, electric vehicles have become a prevalent transportation mode for their low cost and zero exhaust gases. Although it reduces air pollution significantly, the range anxiety makes many consumers hesitant about buying a new electric car because the low-energy density of batteries is inconvenient for a long trip. Facing this problem, how to apply advanced technologies to design a new energy management system to alleviate the range of anxiety is a research interest of many researchers. This research designs a new sustainable energy management system and develops a prototypic software for the evaluation. We demonstrate an extended energy informatics framework. Two algorithms, the shortest path problem (SPP) algorithm, and the vehicle routing problem (VRP) algorithm are built to support the decision of our energy management system. We also build a prototype software to demonstrate our new framework.",
keywords = "Electric vehicles, Energy management system, Range anxiety",
author = "Qiang Cao and Puxi Wang and Liao, {Shaoyi (Stephen)}",
year = "2022",
doi = "10.1007/978-3-031-18158-0_23",
language = "English",
isbn = "978-3-031-18157-3",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Cham",
pages = "314--323",
editor = "Matthias Rauterberg and Nah, {Fiona Fui-Hoon} and Keng Siau and Heidi Kr{\"o}mker and June Wei and Gavriel Salvendy",
booktitle = "HCI International 2022 – Late Breaking Papers: HCI for Today{\textquoteright}s Community and Economy",
edition = "1",
note = "24th International Conference on Human-Computer Interaction, HCII 2022 ; Conference date: 26-06-2022 Through 01-07-2022",
}
