Non-Linear Modeling and Control of DC-DC Buck and Boost Converters For EV Application

In DC-DC converters, the state-space averaging method used for mathematical modeling of the circuits leads to the significant loss of switching information, which is primarily due to the averaging property of this approach. Therefore, non-linear modeling is used to obtain an exact mathematical model of the actual circuit and achieve a precise control of the circuit. In this paper, linear and non-linear models are derived for investigating and comparing the accuracy of buck and boost converters for EV applications. The performance of both converters is evaluated using three different control techniques, including Proportional Integral Derivative (PID), Non-linear Proportional Integral Derivative (NL-PID), and Tilt Integral derivative (TID) control. When it comes to overall performance and dependability, it has been noticed that NL-PID controller is better. The MATLAB simulations, which have been presented, demonstrate the correctness and efficacy of the designs under observation.