EV Charging Control using DSRC System in LVDN with DG Penetration

Author(s):  
Alexandru Kriukov ◽  
Mihai Gavrilas
Keyword(s):  
2021 ◽  
Vol 1 (1) ◽  
pp. 78-88
Author(s):  
Xiaoying Tang ◽  
Chenxi Sun ◽  
Suzhi Bi ◽  
Shuoyao Wang ◽  
Angela Yingjun Zhang

The rapid growth of electric vehicles (EVs) has promised a next-generation transportation system with reduced carbon emission. The fast development of EVs and charging facilities is driving the evolution of Internet of Vehicles (IoV) to Internet of Electric Vehicles (IoEV). IoEV benefits from both smart grid and Internet of Things (IoT) technologies which provide advanced bi-directional charging services and real-time data processing capability, respectively. The major design challenges of the IoEV charging control lie in the randomness of charging events and the mobility of EVs. In this article, we present a holistic review on advanced bi-directional EV charging control algorithms. For Grid-to-Vehicle (G2V), we introduce the charging control problem in two scenarios: 1) Operation of a single charging station and 2) Operation of multiple charging stations in coupled transportation and power networks. For Vehicle-to-Grid (V2G), we discuss how EVs can perform energy trading in the electricity market and provide ancillary services to the power grid. Besides, a case study is provided to illustrate the economic benefit of the joint optimization of routing and charging scheduling of multiple EVs in the IoEV. Last but not the least, we will highlight some open problems and future research directions of charging scheduling problems for IoEVs.


Author(s):  
Sandhya Rani Nadipalli ◽  
Srinivas Jeganmohan ◽  
Sultan Hakmi ◽  
Visvakumar Aravinthan

2019 ◽  
Vol 13 (4) ◽  
pp. 4292-4302 ◽  
Author(s):  
Emin Ucer ◽  
Mithat C. Kisacikoglu ◽  
Murat Yuksel ◽  
Ali Cafer Gurbuz

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Alexandru Kriukov ◽  
Mihai Gavrilas ◽  
Ovidiu Ivanov ◽  
Gheorghe Grigoras ◽  
Bogdan-Constantin Neagu ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2214 ◽  
Author(s):  
Linlin Tan ◽  
Wenxuan Zhao ◽  
Minghao Ju ◽  
Han Liu ◽  
Xueliang Huang

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. Firstly, a dynamic wireless charging model based on a long-track transmitting coil is established, and the expression of the charging power of each load under multi-load situation is obtained. Secondly, the influence of the EV charging number and maximum driving speed on the range of system parameters is studied. Subsequently, the method for determining the load resistance value according to the driving speed under a multi-EV charging condition is further discussed. Afterwards, a charging power control method adapting to the speed variation by load adjustment is proposed. By adjusting the equivalent load of the variable-speed charging EV, its speed variation range can reach 20~60 km/h, while the remaining EVs’ charging power fluctuation range can be kept within 10%~15%. Finally, the experimental prototype is built to verify the above-mentioned control method.


2016 ◽  
Vol 100 ◽  
pp. 243-247 ◽  
Author(s):  
Wu Shengjun ◽  
Xu Qingshan ◽  
Li Qun ◽  
Yuan Xiaodong ◽  
Chen Bing

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