Multi-source Bidirectional Quasi-Z-source Inverter using Fractional Order PI Controller for Electric Traction System

Mande, Daouda; Trovão, João P.; Rubio, Ruben Gonzalez; Ta, Minh C.

doi:10.1109/vppc53923.2021.9699307

Cited by 2 publications

(3 citation statements)

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“…The Bq-ZSI operating principles have been largely examined in [31]. The relationship between the capacitor voltages and the supercapacitor terminal voltages during the steady state can be deduced with the shoot-through duty cycle D H by:…”

Section: Hybrid Energy Storage System Configuration and Modelingmentioning

confidence: 99%

“…in which m H and G H denote the inverter modulation index and the total voltage gain of the Bq-ZSI, respectively. The battery power exchange is controlled by the DC-DC converter, which can operate in two states, as shown in [31]. The relationship between the capacitor C 1 and the battery voltage can be expressed as:…”

Section: Hybrid Energy Storage System Configuration and Modelingmentioning

confidence: 99%

“…In this study, a surface permanent magnet synchronous machine (SPMSM) is used as a traction electric motor. Its state space representation can be described as presented in [31]. The FCS-MPC and FOPI controllers are designed to improve the dynamic performance for the speed control and disturbance rejection.…”

Section: Finite Control Set Model Predictive Controllermentioning

confidence: 99%

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Dual-Source Bidirectional Quasi-Z-Source Inverter Development for Off-Road Electric Vehicles

Mande

Trovão

et al. 2022

WEVJ

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In this paper, a battery pack and a supercapacitor bank hybrid energy storage system (HESS) with a new control configuration is proposed for electric vehicles (EVs). A bidirectional quasi-Z-source inverter (Bq-ZSI) and a bidirectional DC-DC converter are used in the powertrain of the EV. The scheme of the control for the proposed HESS Bq-ZSI using finite control set model predictive control (FCS-MPC) is first deduced to enhance the dynamic performance. With the idea of managing battery degradation mitigation, the fractional-order PI (FOPI) controller is then applied and associated with a filtering technique. The Opal-RT-based real-time simulation is next executed to verify the performance and effectiveness of the proposed HESS control strategy. As a result, the proposed HESS Bq-ZSI with this control scheme provides a quick response to the mechanical load and stable DC link voltage under the studied driving cycle. Moreover, the comparative results also show that the proposed HESS Bq-ZSI equipped with the new control configuration enables the reduction of the root-mean-square value, the mean value, and the standard deviation by 57%, 59%, and 27%, respectively, of the battery current compared to the battery-based inverter. Thus, the proposed HESS Bq-ZSI using these types of controllers can help to improve the EV system performance.

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Section: Hybrid Energy Storage System Configuration and Modelingmentioning

confidence: 99%

Section: Hybrid Energy Storage System Configuration and Modelingmentioning

confidence: 99%