## 1 Introduction  
Recently, electric vehicles (EVs) have been replacing the traditional internal combustion engine (ICE) vehicles [1, 2]. Compared to the ICE vehicles, the EVs have the advantages of negligible maintenance, high efficiency, low acoustic noise, and low environmental pollution. Nevertheless, the development of EVs has many obstacles regarding the services. One important service is the charging stations, which have many issues to be solved regarding the time of charging of the EV and the distribution of these stations, as well as the best way to make the stations compatible with the utility grid. There are many charging techniques utilized for the EV charging stations. The fastest charging technique is DC charging, which can be accomplished in a few minutes [3, 4]. However, it causes a large electrical load in a short time that has negative effects on the utility grid. In addition, with a large number of charging stations, the utility grid will suffer from instability and overload problems [5, 6]. It is proven in the literature that introducing an energy storage system (ESS) to the EV charging stations provides performance benefits to the utility grid [7, 8, 9], and helps in slightly reducing the loading stress of the grid. To ensure zero emissions and pollution from the EV system, including the related services, renewable energy systems must be utilized for the charging stations. Commonly, wind energy, biogas energy, and photovoltaic (PV) energy are utilized to supply power to EV charging stations [10; 11]. However, PV-powered charging stations are associated with high efficiency and simplicity. In the literature, much research has been proposed for charging stations that are supplied by PV [12]. In Reference [13], a high-power biogas EV charging station was introduced and designed. The authors of [14] introduced a multiport converter connected to a PV array to be utilized in the EV charging station. Nevertheless, there is a large distortion in the grid current. Another strategy was proposed in [15] for the energy management of the EV charging station, where it was suggested to reduce the energy consumption from the grid and store the reserve PV energy. The authors of [16] presented a grid-tied station with a PV panel that has a power \(Z\)-source converter. The system performance was better, but its applications are locked to the grid-tied operation. In Reference [17], a charging station powered by PV was proposed. The system included an ESS to help in improving the peak load performance. An optimization for the energy management of a PV-powered station linked to an ESS is proposed in [18]. In Reference [19], a new power management technique was proposed to serve small EVs in remote areas. The authors of [20] introduced an optimization technique for the EV charging stations' schedule. In Reference [21], a two-way EV charging station powered by solar PV has been proposed. However, the AC charging could not be used. Conventionally, proportion integral derivative (PID) controllers have been used to control the EV charging stations [22]. These controllers are stable, simple, reliable, and easy to tune. However, they have many problems, such as high overshoot, and their performance depends on the setpoint [23]. Moreover, they are not suitable for complex, nonlinear systems, time-delay, higher-order systems, and systems with uncertainties. Therefore, the controller behavior may cause deterioration of the system performance. These drawbacks can be overcome by using an intelligent controller, such as fuzzy logic [24; 25]. It has been found that fuzzy logic-based PID controllers have better capabilities of handling the previously mentioned systems. In this paper, a novel fuzzy PID controller is proposed for an isolated EV charging station supplied from a PV panel. The proposed system involves a PV array, a boost converter, bidirectional charging converters, a lead-acid battery representing the energy storage system, and a lithium-ion battery representing the electric vehicle.