Comparative study between two BMS architecture in a PV-battery off-grid: Centralized and modular topologies

Engineering and Applied Physics Team (EAPT), Superior School of Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco

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Abstract

The aim of this study is to provide a comparison of two Battery Management System (BMS) topologies, modular and centralized in a photovoltaic generator whose power is optimized by a hybrid MPPT algorithm based on the integration of an Adaptive Neuro-Fuzzy Inference System (ANFIS) and a fuzzy controller, functioning as a PI regulator. The battery pack, which is composed of lithium-ion batteries, is controlled by a fuzzy PI controller and a DC-DC buck/boost converter, which guarantees precise, flexible management of power flows. This paper stresses the compromise between the two architectures in multiple uniform irradiations through simulations 1000 W/m², 800 W/m² and 600 W/m². The result shows that generalized systems are well suited for cost-sensitive, space-limited applications. However, modular BMSs have better scalability, and increased fault isolation and are thus well suited for electric vehicles, renewable energy storage, and mission-critical applications.