Control Strategy for Vehicle Inductive Wireless Charging Based on Load Adaptive and Frequency Adjustment

Shichun Yang, Xiaoyu Yan, Hong He, Peng Yang, Zhaoxia Peng and Haigang Cui
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Shichun Yang: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Xiaoyu Yan: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Hong He: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Peng Yang: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Zhaoxia Peng: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Haigang Cui: School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

Energies, 2018, vol. 11, issue 5, 1-23

Abstract: Wireless charging system for electric vehicles is a hot research issue in the world today. Since the existing research on wireless charging is mostly forward-looking aimed at low-power appliances like household appliances, while electric vehicles need a high-power, high-efficiency, and strong coupling wireless charging system. In this paper, we have specifically designed a 6.6 KW wireless charging system for electric vehicles and have proposed a control strategy suitable for electric vehicles according to its power charging characteristics and existing common wired charging protocol. Firstly, the influence of the equivalent load and frequency bifurcation on a wireless charging system is analyzed in this paper. Secondly, an adaptive load control strategy matching the characteristics of the battery, and the charging pile is put forward to meet the constant current and constant voltage charging requirements to improve the system efficiency. In addition, the frequency adjustment control strategy is designed to realize the real-time dynamic optimization of the entire system. It utilizes the improved methods of rapid judgment, variable step length matching and frequency splitting recognition, which are not adopted in early related researches. Finally, the results of 6.6 kW test show that the control strategy works perfectly since system response time can be reduced to less than 1 s, and the overall efficiency of the wireless charging system and the grid power supply module can reach up to 91%.

Keywords: wireless charging system; frequency bifurcation; system efficiency; equivalent load (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: View citations in EconPapers (2)

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