基于优化模糊控制器的锂离子电池热管理系统

M. Hannan, Y. Young, M. T. Hoque, P. Ker, M. Uddin
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引用次数: 4

摘要

锂离子电池因其容量大而成为一种重要的储能装置,特别是在电动汽车中。然而,这种电池在高充放电速率过程中产生的热量可能导致不可逆的容量损失,降低电池性能。介绍了一种用于锂离子电池的热管理系统,以保持电池组中热过程的调节。提出了一种基于粒子群优化(PSO)的模糊控制器对电池热管理系统的鲁棒控制算法。通过超调量、欠调量和稳定时间对系统性能进行评价,并与PID和简单模糊系统进行对比验证。从性能结果和比较看,基于PSO的模糊系统在加热子程序中的超调量最小,为0.497 %,沉降时间为32 min 13 s;在冷却子程序中的过调量最小,为0.975%,沉降时间为28 min 46 s。此外,它还能够在电池组中的电池模块之间保持均匀的温度。结果表明,基于粒子群算法的模糊控制系统是一种鲁棒控制系统,有效地提高了锂离子电池温度调节系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lithium Ion Battery Thermal Management System Using Optimized Fuzzy Controller
Lithium ion battery is an important energy storage device especially, in electric vehicles due to its large capacity. However, heat generated from this battery during the high rate of charging and discharging process might lead to irreversible capacity loss and degrade the battery performance. This paper presents a thermal management system for a lithium ion battery to maintain a regulated thermal process in the battery pack. A robust control algorithm is proposed using particle swarm optimization (PSO) based fuzzy logic controller to the battery thermal management system. The system performance is evaluated by the overshoot, undershoot and settling time, and compared with the PID and simple fuzzy system to validate the results. From the performance results and comparisons, the proposed PSO based fuzzy system is able to yield the least overshoot of 0.497 % and settling time of 32 min 13 s during the heating subroutine, and undershoot of 0.975 % and settling time of 28 min 46 s during the cooling subroutine. Moreover, it is also capable of maintaining a uniform temperature among the battery modules in the pack. These results prove that the PSO based fuzzy system is a robust control system which enhances the performance of the lithium ion battery temperature regulating system efficiently.
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