Maximizing Per Day Energy Extraction of PV Powered Electric Bi-wheelers

This research work focuses on maximizing per day energy extraction for PV powered electric Bi-wheelers. It also incorporates dual mode of battery operating system with enhanced energy extraction technique through optimum impedance matching between source and load. Stored energy can be converted to AC (Alternating Current) using an inverter for powering various electrical appliances and it focuses on reduction in charging time and maximizing power extraction from the Photovoltaic panel (PV) using MPPT based Zeta Converter. It also incorporates a dual-battery management system. In a dual-battery management system, when one battery is being charged by the PV panel, the other battery can supply power to the E-bike and vice versa. The same batteries can be used as a portable source of energy which can power various electrical appliances using an inverter. The control algorithm is developed to obtain a two-phase time scheduler to appropriately select the charging and discharging batteries. A novelty of the research work lies in adjusting the Maximum Power Point (MPP) to an optimal condition as well as to reduce the charging time of the battery based on the requirement. To achieve this, the impedance of the PV panel (ZPV) and the impedance of the battery system (ZB) are calculated. If ZPV is greater than ZB then the charging time of the battery is decreased, otherwise the maximum power is extracted from the PV panel. From the hardware test results, it is demonstrated that with the calculation of ZPV and ZB, the extraction of maximum power and reduction in charging time can be achieved.