Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Qiuhao Hu"'
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 7, Iss 1, Pp 52-57 (2017)
It is known to all, the spilling of pipeline may cause serious problems, especially when the pipe conveying petroleum, natural gas or other toxic substance. There are countless accidents during past century. Once the spilling occurs, the vibration of
Externí odkaz:
https://doaj.org/article/257dedc16bd644eda84117db081926cc
Publikováno v:
IEEE Transactions on Intelligent Vehicles. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f6ba563fb1d6548b5bf2a1e12ed6b4c
https://doi.org/10.1109/tiv.2023.3275952
https://doi.org/10.1109/tiv.2023.3275952
A Data-Driven Spatio-Temporal Speed Prediction Framework for Energy Management of Connected Vehicles
Autor:
Mohammad Reza Amini, Qiuhao Hu, Ashley Wiese, Ilya Kolmanovsky, Julia Buckland Seeds, Jing Sun
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:291-303
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f69403762cfa43ccfa2ad2c09d6a6e91
https://doi.org/10.1109/tits.2022.3215073
https://doi.org/10.1109/tits.2022.3215073
Autor:
Ashley Wiese, Julia Buckland Seeds, Mohammad Reza Amini, Ilya Kolmanovsky, Qiuhao Hu, Jing Sun
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:1052-1064
In this article, we propose a multihorizon model predictive control (MH-MPC) approach with applications to integrated power and thermal management (iPTM) of connected hybrid electric vehicles (HEVs). The proposed MH-MPC leverages preview and optimiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9dd869e29079bfdb5680860e5c720be
https://doi.org/10.1109/tcst.2021.3091887
https://doi.org/10.1109/tcst.2021.3091887
Publikováno v:
IEEE Transactions on Control Systems Technology. 29:2339-2350
The operation of the air-conditioning (A/C) system can significantly increase the energy consumption of passenger vehicles. In this article, aiming at reducing the vehicle-level energy consumption in hot weather, an optimization-based energy-efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dcd021ba0f4945a9c5a576410379ed1
https://doi.org/10.1109/tcst.2020.3038746
https://doi.org/10.1109/tcst.2020.3038746
Autor:
Qiuhao Hu, Mohammad Reza Amini, Ashley Wiese, Mark Tascillo, Julia Buckland Seeds, Ilya Kolmanovsky, Jing Sun
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a422620a8e8f57e787e4b39d92c6a08
https://doi.org/10.23919/acc53348.2022.9867504
https://doi.org/10.23919/acc53348.2022.9867504
Publikováno v:
Advances in Artificial Intelligence and Security ISBN: 9783031067600
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51fae3203fb554498131b93461d07ff7
https://doi.org/10.1007/978-3-031-06761-7_53
https://doi.org/10.1007/978-3-031-06761-7_53
Autor:
Qiuhao Hu, Julia Buckland Seeds, Ilya Kolmanovsky, Mohammad Reza Amini, Ashley Wiese, Jing Sun
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 144
Connectivity and automated driving technologies have opened up new research directions in the energy management of vehicles which exploit look-ahead preview and enhance the situational awareness. Despite this advancement, the vehicle speed preview th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52829b674eabb6b5d1b252a50fd493a2
https://doi.org/10.1115/1.4052819
https://doi.org/10.1115/1.4052819
This paper presents experimental results that validate eco-driving and eco-heating strategies developed for connected and automated vehicles (CAVs). By exploiting vehicle-to-infrastructure (V2I) communications, traffic signal timing, and queue length
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c05e51bf1f1aec8735a03f0514fe7d8
http://arxiv.org/abs/2101.05944
http://arxiv.org/abs/2101.05944
Autor:
Qiuhao Hu, Hao Wang, Julia Helen Buckland, Jing Sun, Ilya Kolmanovsky, Zeng Qiu, Ashley Wiese, Zhen Yang, Yiheng Feng, Mohammad Reza Amini
Publikováno v:
SAE Technical Paper Series.
Connected vehicles (CVs) have situational awareness that can be exploited for control and optimization of the powertrain system. While extensive studies have been carried out for energy efficiency improvement of CVs via eco-driving and planning, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ed60d554409e937f865ba893ccea0c
https://doi.org/10.4271/2020-01-0590
https://doi.org/10.4271/2020-01-0590