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Battery management system has become the most widely used energy storage system in both stationary and mobile applications (Guo et al., 2013). To make up the power delivery systems, loads, transmission, production, management systems, control, and distribution system networks.
This study aims to review the recently published literature on the topic of power management systems and battery charging control. The role of intelligent based cloud computing is to improve the battery life and manage the battery state of charge (SoC).
Summary of the novel literature with Advanced algorithms for battery management. Nowadays, health monitoring of battery storage systems directly utilizes cloud-based storage diagnostic algorithms, which can be further validated in other existing storage technologies, such as Li-ion and lead–acid batteries.
The performance of the smart battery management system might be impacted by Internet outages even for common BMS applications. To ensure the smooth operation of cloud based BMS systems, a reliable backup storage system and fast Internet connection are essential. Additionally, the cost of the cloud based BMS needs to be thoroughly examined.
Therefore, it is necessary to maintain the temperature level (battery and all the power devices) and deal with it professionally to extend the battery life and save energy (Dang et al., 2023). The possibility of decreasing the energy cost of a grid and heterogeneous renewable energy by choosing an optimal power supplier (Hannan et al., 2020).
Overcoming increase carbon footprint due to increased conventional power generation to satisfy the power energy demand. Overcoming the enormous computing and massive data storage that cannot be managed in the future by the current power systems.
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