Open AccessWireless battery charging control for electric vehicles: a user‐involved approach
Author(s) -
Ouyang Quan,
Xu Guotuan,
Liu Kailong,
Wang Zhisheng
Publication year - 2019
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2018.6332
Subject(s) - battery (electricity) , wireless , trajectory , computer science , state of charge , inductive charging , fuzzy logic , capacitor , engineering , electrical engineering , voltage , power (physics) , telecommunications , astronomy , physics , quantum mechanics , artificial intelligence
This study presents a user‐involved wireless battery charging approach for electric vehicles, which enables the battery to reach the user‐specified state by regulating the charging current provided by a wireless charger with double‐sided inductor–capacitor–capacitor compensation topology. Specifically, an optimal state of charge (SOC) trajectory is first generated through formulating and solving an optimisation issue with the consideration of user demand and operating constraints. Next, a cascade control strategy is proposed to regulate the wireless charger to make the battery track the scheduled charging trajectory. The out loop control designs suitable charging current for SOC trajectory tracking, which can effectively suppress the violation of the charging constraints by on‐line compensating the battery model bias. In the inner loop, a fuzzy proportion–integration (PI) algorithm is proposed to control the wireless charger to provide the charging current designed by the out loop, in which fuzzy logic algorithm is utilised to on‐line tune the PI gains to improve the control performance. Extensive real‐time results demonstrate the effectiveness and promise of the proposed user‐involved wireless battery charging control strategy.