Abstract
The power management integrated circuits in photovoltaic (PV) energy harvesting applications require efficient maximum power point tracking (MPPT) algorithm to maximize power output from the PV in the face of continuously fluctuating atmospheric circumstances. A CMOS-based Ripple Correlation Control (RCC) algorithm for optimizing power extraction from the Perovskite Solar cell (PSC) was designed in this work. The RCC uses the intrinsic ripple characteristics of the DC-DC boost converter to perturb the voltage and current of the PV panel to achieve MPP. The design uses a multiplier, a 2-stage op-amp, two differentiator circuits, an integrator, an XOR gate, and a deadtime circuit. The PWM stage of the MPPT consists of a comparator, and a Schmitt trigger circuit was incorporated into the PWM section of the design to minimize the system’s chip size and power consumption. The effectiveness of the RCC output signal was able to drive the boost converter to produces an output voltage of 5.67V from an input voltage of 1.5V with a power efficiency of 98%. The system was designed using UMC180nm CMOS technology.