Comparative study reveals BMS architecture impacts power management in off-grid photovoltaic systems, suggesting optimal designs.
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.
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Badii et al. (2025) studied this question.
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