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Output feedback control of supercapacitors parallel charging system for EV applications: Theoretical design and experimental validation
Author(s) -
Belhaj F.Z.,
El Fadil H.,
Rachid A.,
Lassioui A.,
Gaouzi K.,
Giri F.
Publication year - 2019
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.3038
Subject(s) - supercapacitor , controller (irrigation) , observer (physics) , control theory (sociology) , nonlinear system , process (computing) , control system , constant current , computer science , voltage , control engineering , engineering , control (management) , electrical engineering , capacitance , chemistry , physics , electrode , quantum mechanics , artificial intelligence , agronomy , biology , operating system
Summary In this paper, the problem of controlling parallel charging system with supercapacitors for electric vehicle applications is considered. When the vehicle parks at the station, the charging process of supercapacitors needs to be completed in less than 30 seconds. The control objective is then to tightly regulate the supercapacitors state of charge (SOC) to a given reference constant and to ensure an adequate current sharing between different parallel chargers. Indeed, the current sharing is a critical issue for parallel charging system with supercapacitors, which is a nonlinear system with control inputs constraints. Besides, the SOC depends on the supercapacitors internal voltage, which is not accessible for measurement. Therefore, based on a large‐signal model of the parallel‐chargers‐supercapacitors system, an output feedback controller (combining a state observer and a nonlinear control laws) is designed. The controller is formally shown to meet all objectives, namely, closed‐loop stability, SOC reference tracking, and equal current sharing. The effectiveness of the proposed output feedback controller approach is verified both by simulation and by experimental tests.