Applying analytics tools in the same engineering platform as the controller, motion control, and HMI can lead to more successful Internet of Things implementations and boost competitive advantages.
The prime objective of this research is to compare the behavior of Zeta converter and Boost converter in order to achieve robust time response and proper voltage regulation in a closed-loop system. An adjustable voltage gain that depends on the duty ratio of the switch at high frequency is also observed in this article. A small-signal model for both converters is derived to achieve linearity of the system. The Ziegler-Nichols Frequency Domain Method (ZNFDM) is used for the tunning of Proportional-Integral (PI) controller to achieve better performance of the model. The time domain scrutiny of the model is performed in MATLAB/Simulink software, which depicts an improved transient response of the system.
Use of supercapacitors (SCs) in electric vehicles (EVs) is gaining popularity in the research community due to their high-power density and fast response. In this paper, a simple novel energy management strategy for a hybrid energy storage-based EV is proposed. The proposed strategy utilizes the inverse relationship of the instantaneous vehicle speed and the state of charge (SoC) of the SC to optimally manage the auxiliary power from SCs, improving the overall performance of the hybrid EV. This reduces stress on the traditional battery system by operating the SC during the high ramp rate power changes in the drive cycle. The proposed power sharing algorithm between the battery energy storage and SC is simple and requires very low computational burden compared to some of the more advanced optimal theory-based strategies previously proposed. The operation of the developed system is verified by a simulation study in Matlab/Simulink and the performance of an EV utilizing the proposed topol