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基于鱼群算法的锂电池寿命优化

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锂电池具有能量密度高、能量转换效率高等优点.对于储能装置而言,其前期投入成本与使用寿命决定了锂电池的使用成本,因此对于锂电池的寿命研究十分重要.在考虑了环境温度影响、锂电池充放电电流对锂电池内部温度的影响的情况下,推导了锂电池的寿命模型,即锂电池的寿命与充电电流、放电电流以及放电深度有关.为了优化锂电池寿命,寻找到最优的充电电流、放电电流以及放电深度,采用鱼群算法.为验证算法的可行性,搭建了仿真模型,仿真结果表明,采用该算法优化锂电池寿命可增加其寿命,降低锂电池使用成本.
Life Optimization of Lithium Battery Based on Fish Swarm Algorithm
Lithium battery has the advantages of high energy density and high energy conversion efficiency.For the energy storage device,its early input cost and service life determine the use cost of lithium battery,so the life of lith-ium battery research is very important.Considering the influence of ambient temperature and charging and dischar-ging current of lithium battery on internal temperature,the life model of lithium battery is derived,that is,the life of lithium battery is related to charging current,discharge current and discharge depth.In order to optimize the life of lithium battery and find the optimal charging current,discharge current and discharge depth,the fish swarm algo-rithm is adopted.In order to verify the feasibility of the proposed algorithm,a simulation model is built,and the sim-ulation results show that the optimization of the life of lithium battery by the proposed algorithm can increase its life and reduce the operating cost of lithium battery.

lithium batterylife modelfish swarm algorithm

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国网湖北省电力有限公司随州供电公司,湖北 随州 441399

锂电池 寿命模型 鱼群算法

2024

电气开关
沈阳电气传动研究所

电气开关

影响因子:0.281
ISSN:1004-289X
年,卷(期):2024.62(5)