Intelligent Cell Balancing of Li-Ion Batteries: A Particle Swarm Optimization Method

Zhang, Yaohui; Zhu, Hong

doi:10.1007/978-981-99-0923-0_90

Cited by 1 publication

(1 citation statement)

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“…A supercapacitor [26] is charged to act as a replacement for the cell with the highest state of charge (SOC) in the balancing circuit during vehicle regeneration. A switched-resistor balancing circuit is modelled using the theory of switched systems [27]. Then, the particle swarm optimisation method is fused with the cell balancing design.…”

Section: Introductionmentioning

confidence: 99%

Switched-Resistor Passive Balancing of Li-Ion Battery Pack and Estimation of Power Limits for Battery Management System

Kumar

Rao

Singh

et al. 2023

International Journal of Energy Research

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The battery pack performance and expected lifespan are crucial in electric vehicle applications. Balancing the charge on a battery pack connected in series and parallel is crucial due to manufacturing discrepancies and distinct performance of each cell in a standard battery pack. In this paper, a switched-resistor passive balancing-based method is proposed for balancing cells in a battery management system (BMS). The value of the available voltage at the battery cell terminals is balanced using resistors in an electrical circuit, and the excess voltage is eliminated. The cell balancing outcome demonstrates that the electrical circuit can maintain an even voltage across each cell. The procedure of balancing involves individually adjusting each cell’s level of charge. Passive balancing releases energy as heat by draining charge from cells that have too much charge. A passive cell balancer is a cost-effective solution and easy to install, but due to thermal loss from a resistor, it has a low energy efficiency for cell balancing and necessitates a lengthy balancing process. This passive cell balancer is an effective and reliable method for low-power devices and portable applications such as electrical vehicles. The power limits during charging and discharging are estimated using the bisection method.

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Section: Introductionmentioning

confidence: 99%