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Keywords = discrete-time sliding-mode current control (DSMCC)

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21 pages, 21286 KB  
Article
A Bidirectional Versatile Buck–Boost Converter Driver for Electric Vehicle Applications
by Catalina González-Castaño, Carlos Restrepo, Samir Kouro, Enric Vidal-Idiarte and Javier Calvente
Sensors 2021, 21(17), 5712; https://doi.org/10.3390/s21175712 - 25 Aug 2021
Cited by 25 | Viewed by 6422
Abstract
This work presents a novel dc-dc bidirectional buck–boost converter between a battery pack and the inverter to regulate the dc-bus in an electric vehicle (EV) powertrain. The converter is based on the versatile buck–boost converter, which has shown an excellent performance in different [...] Read more.
This work presents a novel dc-dc bidirectional buck–boost converter between a battery pack and the inverter to regulate the dc-bus in an electric vehicle (EV) powertrain. The converter is based on the versatile buck–boost converter, which has shown an excellent performance in different fuel cell systems operating in low-voltage and hard-switching applications. Therefore, extending this converter to higher voltage applications such as the EV is a challenging task reported in this work. A high-efficiency step-up/step-down versatile converter can improve the EV powertrain efficiency for an extended range of electric motor (EM) speeds, comprising urban and highway driving cycles while allowing the operation under motoring and regeneration (regenerative brake) conditions. DC-bus voltage regulation is implemented using a digital two-loop control strategy. The inner feedback loop is based on the discrete-time sliding-mode current control (DSMCC) strategy, and for the outer feedback loop, a proportional-integral (PI) control is employed. Both digital control loops and the necessary transition mode strategy are implemented using a digital signal controller TMS320F28377S. The theoretical analysis has been validated on a 400 V 1.6 kW prototype and tested through simulation and an EV powertrain system testing. Full article
(This article belongs to the Special Issue Advances in Intelligent Vehicle Control)
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