المؤلفون: Ma, Y., Ma, Q., Ding, H., Hu, Y., Chen, H.

المصدر: IEEE Transactions on Intelligent Transportation Systems IEEE Trans. Intell. Transport. Syst. Intelligent Transportation Systems, IEEE Transactions on. 25(6):6133-6146 Jun, 2024

المؤلفون: Chu, Hongqing, Luo, Xi, Hao, Zhengyi, Li, Xianning, Cheng, Yifan, Hong, Jinlong, Guo, Lulu, Gao, Bingzhao

المصدر: 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI) Vehicular Control and Intelligence (CVCI), 2022 6th CAA International Conference on. :1-6 Oct, 2022

Relation: 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI)

المؤلفون: Said, D.

المصدر: IEEE Transactions on Industrial Informatics IEEE Trans. Ind. Inf. Industrial Informatics, IEEE Transactions on. 17(10):6594-6602 Oct, 2021

المؤلفون: Xiong, Rui^{Aff1, IDs10033023008866_cor1}, Zhu, Baoqiang, Zhang, Kui, Duan, Yanzhou, Sun, Fengchun

المصدر: Chinese Journal of Mechanical Engineering. 36(1)

المؤلفون: Abhijeet, Basu, Sampriti, Goyal, Dhruv

المصدر: 2020 5th International Conference on Communication and Electronics Systems (ICCES) Communication and Electronics Systems (ICCES), 2020 5th International Conference on. :259-263 Jun, 2020

Relation: 2020 5th International Conference on Communication and Electronics Systems (ICCES)

المؤلفون: Rui Xiong, Baoqiang Zhu, Kui Zhang, Yanzhou Duan, Fengchun Sun

المصدر: Chinese Journal of Mechanical Engineering, Vol 36, Iss 1, Pp 1-11 (2023)

مصطلحات موضوعية: Intelligent connected electric vehicle, Battery, Operation data, State estimation, Wireless energy transfer, Ocean engineering, TC1501-1800, Mechanical engineering and machinery, TJ1-1570

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2192-8258

URL الوصول: https://doaj.org/article/e0cf36cbcb0044e1bb144603486e040b

المؤلفون: Rolando Bautista-Montesano, Renato Galluzzi, Zhaobin Mo, Yongjie Fu, Rogelio Bustamante-Bello, Xuan Di

المصدر: Applied Sciences, Vol 13, Iss 8, p 5089 (2023)

مصطلحات موضوعية: connected electric vehicle, regenerative braking, eco-approach and departure, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/8/5089; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/a2893375625548b2831241fd59d98c58

المؤلفون: Li, Jie, Fotouhi, Abbas, Pan, Wenjun, Liu, Yonggang, Zhang, Yuanjian, Chen, Zheng

مصطلحات موضوعية: Deep reinforcement learning, Velocity optimization, Connected electric vehicle, Eco-driving, Signalized intersection

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od________70::664c72b15334f482eef8229f7bc65481
https://dspace.lib.cranfield.ac.uk/handle/1826/19930

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تسجيل الدخول للوصول الكامل.

المؤلفون: Missie Aguado-Rojas, Caroline Ngo, Bicheng Chen, Mohamed El Baghdadi, Antonio Sciarretta, Edwin Solano-Araque

المساهمون: IFP Energies nouvelles (IFPEN), RWTH Aachen University, Vrije Universiteit Brussel (VUB), European Project: 824295,CEVOLVER, Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH)

المصدر: IFAC-Papers
IFAC-PapersOnLine, Elsevier, 2021, 54 (10), pp.126-131. ⟨10.1016/j.ifacol.2021.10.152⟩
IFAC-PapersOnLine 54(10), 126-131 (2021). doi:10.1016/j.ifacol.2021.10.152 special issue: "6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling E-COSM 2021 Tokyo, Japan, 23-25 August 2021 / Edited by Carlos Guardiola"
6. IFAC Conference on Engine Powertrain Control, Simulation and Modeling, E-COSM, online, 2021-08-23-2021-08-25
IFAC-PapersOnLine, 2021, 54 (10), pp.126-131. ⟨10.1016/j.ifacol.2021.10.152⟩

مصطلحات موضوعية: connected electric vehicle, 0209 industrial biotechnology, business.product_category, Computer science, 02 engineering and technology, Reduction (complexity), optimal control, [SPI]Engineering Sciences [physics], Acceleration, 020901 industrial engineering & automation, Control theory, Position (vector), 0502 economics and business, Electric vehicle, connected electric vehicle optimal control, 050210 logistics & transportation, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 05 social sciences, Energy consumption, Optimal control, Collision, eco-driving, [SPI.TRON]Engineering Sciences [physics]/Electronics, Model predictive control, 13. Climate action, Control and Systems Engineering, business, ddc:600

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::403a45c9464a50c9c05417aaf9e4322a
https://doi.org/10.1016/j.ifacol.2021.10.152