Cloud-based BMS, merging battery management with cloud computing, can revolutionize our approach to battery systems. Traditional BMSs have consistently safeguarded battery pack life, safety, and efficiency. Yet they lag due to limited computational power and data storage, hindering their true potential. This is where cloud solutions can help.
The surge in battery systems, especially in electric vehicles (EVs) and large battery energy storage systems (BESSs), has emphasized the role of BMSs. To meet modern demands, a more adept system is essential. Here, the cloud-based BMS emerges as a promising answer for contemporary battery needs.
Central to this is the distribution of BMS functions between on-site units and the cloud. On a local scale, data acquisition and thermal management are paramount. Locally, functions like data acquisition, cell balancing, charge control, thermal management, and fault detection take precedence. Though essential, local storage for this data is capped. Shifting it to the cloud not only offers extensive storage but also enriches BMS functions.
However, the cloud doesn’t overshadow local functions. Core tasks like cell balancing for voltage are localized. Yet, when balancing State of Charge (SOC) and capacity, the cloud’s expansive computational and storage assets become evident, offering refined strategies.
Cloud usage is most apparent in cell monitoring, SOC, SOH estimation, and fault prognosis. It offers an upgraded user experience, data visualization, and storage, making cell monitoring superior to older BMSs. Estimating SOC and SOH, once constrained by models and algorithms, now finds more accurate and intricate solutions via the cloud.
The cloud's proactive fault detection stands out. Instead of just identifying live faults, it predicts future ones using past data and advanced algorithms. This foresight helps users mitigate potential problems, enhancing battery upkeep.
Continuous, high-speed internet is the backbone for cloud based BMS. In regions with spotty connectivity, its efficacy decreases. Even in urban areas, occasional outages pose threats. Plus, cloud upkeep, especially data and algorithm management, isn't free. A balance between expenditure and system efficiency, through pinpointing crucial battery data and collection rates, is imperative.
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