A CryStAl-RDF technique-based integrated circuit topology for fast charging station of electric vehicle (EV)

The range of electric vehicles (EVs) is still limited due to the long amount of time it takes to charge them. However, to overcome the time constraint of recharging electric vehicle batteries, fast charging stations (FCS) can be installed. These stations are capable of fully charging a vehicle's battery in just a few minutes. For this purpose, this manuscript proposes a unidirectional boost converter and Swiss rectifier-based topology to develop an FCS for electric vehicles by using a hybrid control technique. The proposed control method is a combination of both a crystal structure algorithm (CryStAl) and a random decision forest (RDF). Hence, it is called the CryStAl-RDF method. Here, the unidirectional boost converter is utilized to enhance the power factor (PF) and also mitigate harmonics. The voltage of direct current (DC) is controlled at the output side when an unwanted perturbation is found at the AC end. The proposed rectifier is utilized to achieve better efficiency. The objective of the proposed approach is to create a fast charging station that can refill the battery of an electric vehicle quickly and efficiently and reduce the total harmonic distortion (THD). Also, in this study, the current, voltage, and duty cycle are considered initial parameters. The CryStAl technique is used to generate a control signal, which is given to the RDF technique. The optimal control signal is predicted by changing the duty cycle using the RDF technique. The proposed charging station includes an intermediate storage battery, which is utilized to mitigate power pulsations in the grid and to offer extra functionality. At last, the proposed method is simulated in MATLAB, and the performance is analysed with existing methods. The existing approaches, such as PSO, ALO, and SSA, and the proposed method become 4, 6.5, 2.4, and 1.7%, respectively. From this analysis, it concludes that the proposed method has lower THD compared with existing methods.