Latest revision as of 13:09, 16 February 2021

Abstract

Turksoy, Omer/0000-0003-4620-4503

WOS: 000492797300026

The energy efficiency of the battery charging system directly affects the distance which electric vehicles can get with per charge process. In addition, reducing current harmonics distortion (THD) increases the electrical quality and power conversion performance. This paper proposes intelligent control of high-efficiency two-stage battery charger topology for electric vehicles (EVs). In the first stage, for low harmonics of input current, high power factor and high efficiency, the average current mode controlled ac/dc boost power factor (pf) correction method constructed and analyzed with 98% efficiency and the power factor is achieved higher than 0.99. Additionally, in the second stage, for high energy efficiency, higher battery lifespan and allowing EVs to get more miles with per charge, a half-bridge LLC resonant converter controlled with a designed artificial neural network (ANN). Moreover, the LLC resonant converter controlled under dynamic load to analysis system from no-load to full-load. A 3.1 kW powered system has been designed for this study, the efficiency of the system has been calculated based on European efficiency standards and the peak efficiency of the whole system is 96.2%, the load voltage ripple is less than 0.5 V and also total harmonic distortion of the source current is less than 5%. (C) 2019 Elsevier Ltd. All rights reserved.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1016/j.energy.2019.07.155

• https://hdl.handle.net/20.500.12508/1172

• https://hdl.handle.net/20.500.12605/16488

• https://api.elsevier.com/content/article/PII:S0360544219314975?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0360544219314975?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.energy.2019.07.155 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S0360544219314975,

https://academic.microsoft.com/#/detail/2964738677