Zobrazeno 1 - 10
of 1 848
pro vyhledávání: '"Eco-driving"'
Publikováno v:
Rekayasa Mesin, Vol 15, Iss 2, Pp 979-996 (2024)
Improving energy efficiency in the transportation system is an important goal in facing the challenges of climate change and limited energy resources. Electric trains are a promising alternative for reducing greenhouse gas emissions and dependence on
Externí odkaz:
https://doaj.org/article/071e13f2ec814705b7566d2c61178dc1
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 7, Iss 1, Pp 52-63 (2024)
As the adoption of Electric Vehicles (EVs) intensifies, two primary challenges emerge: limited range due to battery constraints and extended charging times. The traditional charging stations, particularly those near highways, exacerbate these issues
Externí odkaz:
https://doaj.org/article/dfbcbe47a785458f9a5cbe32b12884ed
Publikováno v:
IEEE Access, Vol 12, Pp 148893-148903 (2024)
The energy efficiency of autonomous vehicles can be improved by selecting an optimized speed profile. Energy savings can be maximized by performing control optimization with knowledge of the powertrain characteristics and future driving conditions. P
Externí odkaz:
https://doaj.org/article/6d5c14d207894583addcbe9fbb488288
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 1, Pp 186-202 (2024)
Abstract In the context of automated driving, the connected and automated vehicles (CAVs) technology unlock the energy saving potential. This paper develops an LSTM‐based deep learning framework for eco‐driving adaptive identification on Intellig
Externí odkaz:
https://doaj.org/article/1ebdde3026874ab1ba42d93639c18aac
Publikováno v:
IEEE Access, Vol 12, Pp 3176-3186 (2024)
This paper presents a control strategy to optimize both the vehicle speed and gearbox position on curved roads with the aim of maximizing fuel economy. Previous studies have focused only on the vehicle speed optimization during cornering. Combining v
Externí odkaz:
https://doaj.org/article/41b9b01961c340c49d401ce0d4d52636
Autor:
Shinsaku Yoshinaka, Satoru Narisawa, Tsuyoshi Yuno, Wenjing Cao, Masakazu Mukai, Taketoshi Kawabe
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 16, Iss 1, Pp 109-116 (2023)
Eco-driving control is a key technology for achieving carbon neutrality of vehicles equipped with automated-driving systems and advanced driver-assistance systems. This paper proposes a model-predictive eco-driving controller for car-following by int
Externí odkaz:
https://doaj.org/article/2096fa911db047a7af00095b5fa4f9f7
Publikováno v:
Sensors, Vol 24, Iss 19, p 6356 (2024)
To encourage energy saving and emission reduction and improve traffic efficiency in the multiple signalized intersections area, an eco-driving strategy for connected and automated vehicles (CAVs) considering the effects of traffic flow is proposed fo
Externí odkaz:
https://doaj.org/article/b24d223b74d149d59a1c6e340e459cc4
Autor:
Joong Ho Lee, Kiwon Yeom
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 483-489 (2023)
Autonomous control for vehicles is rapidly developed since it not only improves the mixed traffic flow but also decreases the traffic accidents and the energy consumption. Especially self-driving technology has been attention since it progressively p
Externí odkaz:
https://doaj.org/article/16b2c95d6c35486e9726997c187e58cc
Autor:
Xiangheng Cheng, Xin Chen
Publikováno v:
Batteries, Vol 10, Iss 7, p 226 (2024)
Eco-driving aims to enhance vehicle efficiency by optimizing speed profiles and driving patterns. However, ensuring safe following distances during eco-driving can lead to excessive use of lithium-ion batteries (LIBs), causing accelerated battery wea
Externí odkaz:
https://doaj.org/article/eea43a37d5224db1bfd272850c61f1f5
Autor:
Simin Wu, Zheng Chen, Shiquan Shen, Jiangwei Shen, Fengxiang Guo, Yonggang Liu, Yuanjian Zhang
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 8, Pp 1560-1574 (2023)
Abstract Vehicles in the platoon can sufficiently incorporate the information via V2X communication to plan ecological speed trajectories and pass the intersection smoothly. Most existing eco‐driving studies mainly focus on the optimal control of a
Externí odkaz:
https://doaj.org/article/a7ff35b3036d4757bbb3027e09773b6e