Aug 2026· International Conference Innovation Engineering and Technology· pp. 1-6· 0 citations· 21 references
Abstract
The growth of electric vehicles and renewable energy systems, there has been an urgent need to become more efficient, reliable, and intelligent in terms of energy storage solutions. Lithium iron phosphate (LFP) batteries have been used as a choice against all other types of batteries based on their thermal stability ability, long cycle life, and safety nature. Their performance, however, is greatly dependent on the efficient battery management strategies. This essay contains the design and development of an integrated battery management system (BMS) of small size with an active cell balancing scheme and smart monitoring architecture, along with an added level of 5G-enabled communication technology. Based on a microcontroller architecture, the proposed system is able to continuously measure important battery parameters (cell voltage, current, temperature, and important state indicators of the battery, such as state of charge (SOC) and state of health (SOH)). The system has an efficient active balancing method that is used to reallocate energy among cells to minimize imbalance losses and enhance overall battery efficiency and capacity compared to traditional passive balancing systems. Moreover, 5G communication allows connecting to computers in the cloud and transmitting data with ultra-low latency and at high speed, which can be used for real-time monitoring, predictive maintenance, and remote diagnostics of faults. Compact hardware design provides smaller size, reduced cost, and scalability to modular battery designs. Experimental testing shows increased balancing efficiency, better monitoring accuracy, and ensured remote operation in dynamic settings. The system proposed can help in enhancing the next-generation intelligent BMS systems within electric vehicles, smart grids, and renewable energy storage systems.
The design and implementation of a low-cost, Internet of Things IoT-based battery management and monitoring system for electric vehicles that enables real-time monitoring and provides users with accessible information through a mobile application is presented.
Jireh Chukwuma Udeze· International Journal of Eng...· 0 citations
This research paper introduces an AI-driven Battery Management System (BMS) to estimate
State of Charge (SOC) and State of Health (SOH) of lithium-ion batteries in real-time to be
used in electric vehicles. The suggested framework will combine embedded sensing with
ESP32 microcontroller, hybrid estimation with Coulomb...
Manojkumar Sahebrao Chavhan, R. J. Patil· ITEGAM- Journal of Engineeri...· 0 citations
Modular Battery Energy Storage Systems (MBESSs) provide improved reliability, flexible power sharing, and reduced voltage stress on individual converters, thereby simplifying battery management. This paper presents a power-sharing approach that enhances overall energy conversion efficiency while maintaining State of Ch...
Mohmaed Alsonisi, Mohammed Elgendy, Bortecene Yildirim et al.· 2026 Energy Conversion Congr...· 0 citations
The research demonstrates a national project combining solar photovoltaics with second-life automotive lithium batteries for local-scale agricultural irrigation and greenhouse climate control. The auto-opening greenhouse system can adapt to various climate conditions in resource-limited areas. Applying in-house battery...
This paper presents the design and hardware-in-the-loop implementation of a smart adaptive control strategy for a renewable-integrated electric vehicle (EV) charging station. The primary objective of this work is to develop a reliable, grid-compliant, and power-quality-enhanced charging station capable of operating und...
S. Singhai, Monika Jain· Engineering Research Express· 0 citations
Lithium-ion batteries are the primary power source for new energy equipment, such as electrochemical energy storage systems and electric vehicles. Accurate state of health (SOH) estimation and remaining useful life (RUL) prediction are essential for ensuring safe operation and reducing lifecycle operation and maintenan...
Ji-Wei Wang, Wen-Peng Si, Masrafe Alam Munna et al.· Batteries· 0 citations
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