The utilization of BESSs is crucial for handling the issue of intermittency in the production of solar photovoltaic (PV) energy in order to provide an effective means of energy distribution in domestic and industrial sectors. This work reviews various developments made in the field of batteries and charging mechanisms of energy storage devices used for harnessing solar energy. Developments related to DC-DC converter designs, MPPT strategies, algorithms for charging and state estimations have been critically analyzed. The study reveals that the advanced versions of MPPT algorithms such as cuckoo search and incremental conductance provide high tracking efficiencies in the range of over 98%. Furthermore, physics-informed neural networks provide a better approach towards estimating SoC and SoH parameters in partial cycling conditions. It has been experimentally proved that a dual-axis tracking system along with MPPT improves average power by 71.73% when compared with fixed systems. An efficiency of 98.93% has been achieved in energy conversion.
P.Prakash et al. (Thu,) studied this question.