The global shift towards renewable energy sources for electricity generation has sparked innovative solutions to confront global warming and reduce the emission of polluting gases. In this context, this work presents a novel design of a photovoltaic generation and lithium-ion battery energy storage system to supply a load demand profile with a daily consumption of 2 kW. Two unique proposals are presented, each with its own set of advantages. The first proposal utilizes two converters in series, a buck converter as a Maximum Power Point Tracker (MPPT), and a boost converter for battery charge control. The second proposal, equally innovative, uses a single buck converter that controls the battery charge by activating or deactivating the MPPT. This study includes the design of all converters and the implementation of three MPPT algorithms: Perturbation and Observation (P&O), Incremental Conductance (INC), and Incremental Resistance (INR). A charging algorithm is developed for the battery storage system based on modifying the Constant Current and Constant Voltage (CC-CV) algorithm. The MPPT algorithms and single-converter battery charger were rigorously tested on the Hardware-In-The-Loop (HIL) platform using a 24-h irradiance profile. The algorithms are implemented on a TMS320F28335 DSP board that controls the photovoltaic system emulated in the Typhoon HIL 402 device. Likewise, the battery charger algorithm with two serial converters is validated using MATLAB Simulink. The results demonstrated an improved performance of the INC algorithm, showcasing the practical implications of this research for the field of renewable energy and power systems.