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具有损坏单元的锂电池组的容错优化

Fault Tolerance Optimization of a Lithium Battery Pack Having a Damaged Unit.

作者信息

Gu Fusheng, Chen Zhenmu, Wang Ming, Li Zhenzhe

机构信息

College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, Zhejiang, China.

出版信息

ACS Omega. 2022 Aug 23;7(35):31126-31137. doi: 10.1021/acsomega.2c03329. eCollection 2022 Sep 6.

DOI:10.1021/acsomega.2c03329
PMID:36092596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9453791/
Abstract

As a kind of green and sustainable technology, electric vehicles are continuously highlighted for solving the significant problems of energy and air pollution. In this paper, fault tolerance optimization of an air-cooled lithium battery pack having a damaged unit was considered to improve the heat dissipation performance. For constructing the relationship between the objective function and the design variables, a quadratic polynomial response function was set up based on the experimental points, which were selected by the Latin-hypercube design of experiment method. Then, a multi-island genetic algorithm-based optimization of the battery pack having a damaged unit was performed under the condition of adjusting the flow velocity of each inlet. The results show that the acceptable temperature differences were obtained under the condition of fixing the total mass flow rate of the inlets. The simulation and fault tolerance optimization methods recommended in this study can be widely used to improve the real safety level of the systems.

摘要

作为一种绿色可持续技术，电动汽车在解决能源和空气污染等重大问题方面不断受到关注。本文考虑对具有损坏单元的风冷锂电池组进行容错优化，以提高散热性能。为了构建目标函数与设计变量之间的关系，基于通过拉丁超立方试验设计方法选择的试验点建立了二次多项式响应函数。然后，在调整每个入口流速的条件下，对具有损坏单元的电池组进行了基于多岛遗传算法的优化。结果表明，在固定入口总质量流量的条件下获得了可接受的温差。本研究推荐的仿真和容错优化方法可广泛用于提高系统的实际安全水平。

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