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Xiaoqing Mei, Chajuan Liu, Xinxia Wang and Yangyang Wei
The realization of the global ?Double carbon? target is closely related to the energy-saving travel of human beings. Along with the increase in the number of new energy vehicles around the world, the number of new energy vehicle charging post carports ha...
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In order to solve the problem of the electric vehicle (EV) charging amount fluctuation caused by the variation of driving speed during dynamic wireless charging, this paper proposes an EV dynamic wireless charging control method adapting to speed change....
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Yuyu Geng, Bin Li, Zhongping Yang, Fei Lin and Hu Sun
In the application of rail transit vehicles, when using typical wireless power transfer (WPT) systems with series?series (SS) compensation supply power for supercapacitors, the output current is in an approximately inverse relationship with the duty cycl...
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Qinglai Guo, Yao Wang, Hongbin Sun, Zhengshuo Li, Shujun Xin and Boming Zhang
Electric vehicles (EVs) and the related infrastructure are being developed rapidly. In order to evaluate the impact of factors on the aggregated EV load and to coordinate charging, a model is established to capture the relationship between the charging l...
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Jun Yang, Wanmeng Hao, Lei Chen, Jiejun Chen, Jing Jin and Feng Wang
Electric vehicles (EVs) have received wide attention due to their higher energy efficiency and lower emissions. However, the random charging and discharging behaviors of substantial numbers of EVs may lead to safety risk problems in a distribution networ...
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Ahmad Mohsenimanesh, Evgueniy Entchev and Filip Bosnjak
Forecasting the aggregate charging load of a fleet of electric vehicles (EVs) plays an important role in the energy management of the future power system. Therefore, accurate charging load forecasting is necessary for reliable and efficient power system ...
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Behnam Rasouli, Mohammad Javad Salehpour, Jin Wang and Gwang-jun Kim
This paper presents a new model based on the Monte Carlo simulation method for considering the uncertainty of electric vehicles? charging station?s load in a day-ahead operation optimization of a smart micro-grid. In the proposed model, some uncertain ef...
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Jaehee Lee, Jinyeong Lee, Young-Min Wi and Sung-Kwan Joo
Occasionally, wind curtailments may be required to avoid an oversupply when wind power, together with the minimum conventional generation, exceed load. By curtailing wind power, the forecast uncertainty and short-term variations in wind power can be miti...
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Chao Lu, Hanchen Xu, Xin Pan and Jie Song
Battery Energy Storage System (BESS) can be utilized to shave the peak load in power systems and thus defer the need to upgrade the power grid. Based on a rolling load forecasting method, along with the peak load reduction requirements in reality, at the...
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Hojun Jin, Sangkeum Lee, Sarvar Hussain Nengroo and Dongsoo Har
As the number of electric vehicles (EVs) significantly increases, the excessive charging demand of parked EVs in the charging station may incur an instability problem to the electricity network during peak hours. For the charging station to take a microg...
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Yanni Cheong, Shuyu Cao, Ramasamy Thaiyal Naayagi and Szesing Lee
The proposed triple phase shift (TPS) dual active bridge (DAB) resonant converter control scheme is suitable for high-efficiency electrical vehicle (EV) wireless charging applications.
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Shaogui Fan, Jinwei Wen, Jiandong Duan, Zitong Song and Tianyu Liu
The isolated three-level DC/DC converter (ITLDC) can be used to charge electric vehicles. During the constant current charging stage, the ITLDC can be designed to realize nature zero voltage switching (ZVS). However, during the constant voltage charging ...
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Baocheng Wang, Yafei Hu, Yu Xiao and Yi Li
Scheduling EV user?s charging behavior based on charging price and applying renewable energy resources are the effective methods to release the load pressure of power grids brought about by the large-scale popularity of electric vehicles (EVs). This pape...
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Baocheng Wang, Yafei Hu, Yu Xiao and Yi Li
Scheduling EV user’s charging behavior based on charging price and applying renewable energy resources are the effective methods to release the load pressure of power grids brought about by the large-scale popularity of electric vehicles (EVs). Thi...
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Matthias Rogge, Sebastian Wollny and Dirk Uwe Sauer
The electrification of public transport bus networks can be carried out utilizing different technological solutions, like trolley, battery or fuel cell buses. The purpose of this paper is to analyze how and to what extent existing bus networks can be ele...
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Haitao Liu, Yu Ji, Huaidong Zhuang and Hongbin Wu
Based on the characteristics of electric vehicles (EVs), this paper establishes the load models of EVs under the autonomous charging mode and the coordinated charging and discharging mode. Integrating the EVs into a microgrid system which includes wind t...
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Ali Selim, Mamdouh Abdel-Akher, Salah Kamel, Francisco Jurado and Sulaiman A. Almohaimeed
The paper proposes a real-time model for electric vehicles (EVs) controlled load charging. The proposed demand-side management (DSM) of EVs is implemented based on queuing analysis with a nonhomogeneous arrival rate and charging service periods dataset. ...
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Nandha Kumar Kandasamy, Rajagopalan Badrinarayanan, Venkata Ravi Kishore Kanamarlapudi, King Jet Tseng and Boon-Hee Soong
The number of Stationary Battery Systems (SBS) connected to various power distribution networks across the world has increased drastically. The increase in the integration of renewable energy sources is one of the major contributors to the increase in th...
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Lei Yang, Xinze Chen, Yuanqi Zhang, Baoxiang Feng, Haibing Wen, Ting Yang, Xin Zhao, Jingjing Huang, Darui Zhu, Yaopeng Zhao, Aimin Zhang and Xiangqian Tong
Underwater wireless power transfer (UWPT) systems are appropriate for battery charging of compact, submerged devices without a complicated and expensive sealing structure or human contact because the power source and load are not physically connected. Fo...
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Jane Lin, Wei Zhou, Ouri Wolfson
Pág. 508 - 521
This paper presents a general Electric Vehicle Routing Problem (EVRP) that finds the optimal routing strategy with minimal travel time cost and energy cost as well as number of EVs dispatched. This is the first EVRP model to consider the vehicle load eff...
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