Optimal control strategy for electric vehicle powered by PV arrays and battery using sliding mode control and linear quadratic regulator
Year: 2025
Type: article
Abstract: This study proposes an optimal control strategy for an electric vehicle (EV) powered by PV arrays and a battery employing a current-fed converter topology regulated via sliding mode control and linear quadratic regulator (LQR). To enhance the efficiency of the photovoltaic system, an ANFIS-based MPPT approach is implemented. Current-fed converters are particularly attractive for EV applications due to their inherent advantages in continuous input current, magnetic isolation, and high reliability under regenerative braking conditions. An LQR controller is then systematically designed to minimize a quadratic cost function, balancing tracking performance and control effort. The proposed scheme ensures robust voltage regulation and smooth tracking of the reference currents. Simulation results of SMC demonstrate better performance in terms of dynamic response and current ripple minimization compared to a linear quadratic regulator. The proposed system has been validated through Delfino F28379D in a hardware-in-the-loop setup.
Source: Scientific Reports
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Funder: Qassim University
Award: G92618698
OpenAlex ID: W7116733236
