EconPapers    
Economics at your fingertips  
 

Adaptive Smart Control Method for Electric Vehicle Wireless Charging System

Lingbing Gong, Chunyan Xiao, Bin Cao and Yuliang Zhou
Additional contact information
Lingbing Gong: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Chunyan Xiao: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Bin Cao: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Yuliang Zhou: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China

Energies, 2018, vol. 11, issue 10, 1-13

Abstract: In order to shorten the wireless charging time of electric vehicles (EVs) and achieve stable charging, an adaptive smart control method for EV wireless charging is proposed in the paper. The method dynamically tracks the rechargeable battery state during the whole charging process, realizes multi-stage charging of constant current (CC) or constant voltage (CV) by switching two kinds of compensation networks of bilateral L3C and L3C-C, and regulates the charging voltage and current to make it as close as possible to the battery charging characteristic curve. This method can be implemented because the voltage source connected to the coupler and the compensation networks of bilateral L3C and L3C-C have the CC and CV source characteristics, respectively. On the basis of the established adaptive smart control system of EV wireless charging, the experiments of wireless data transmission and adaptive smart charging were conducted. The results showed that the designed control system had a response time of less than 200 ms and strong anti-interference ability and it shortened the charging time by about 16% compared with the time using traditional charging methods, thereby achieving a fast, stable, safe, and complete wireless charging process.

Keywords: electric vehicle; wireless charging; smart control; adaptive voltage regulation; compensation network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/10/2685/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/10/2685/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:10:p:2685-:d:174373

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2685-:d:174373