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Multi-objective optimization of charging patterns for lithium-ion battery management

机译：锂离子电池管理充电模式的多目标优化

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摘要

Lithium-ion (Li-ion) battery charging is a crucial issue in energy management of electric vehicles. Developing suitable charging patterns, while taking into account of various contradictory objectives and constraints is a key but challenging topic in battery management. This paper develops a model based strategy that optimizes the charging patterns while considers various key parameters such as the charging speed, energy conversion efficiency as well as temperature variations. To achieve this, a battery model coupling both the electric and thermal characteristics is first introduced. Three key but conflicting objectives, including the charging time, energy loss and temperature rise especially for internal temperature, are formulated. Then, multi-objective biogeography based optimization (M-BBO) approaches are employed to search the optimal charging patterns and to balance various objectives with different combinations. Optimization results of four M-BBO approaches are compared, and the Pareto fronts for battery charging with various dual-objectives and triple-objectives are analysed in detail. Experimental results confirm that the developed strategy can offer feasible charging patterns and achieve a desirable trade-off among charging speed, energy conversion efficiency and temperature variations. The Pareto fronts obtained by this strategy can be adopted as references to adjust charging pattern to further satisfy various requirements in different charging applications.
机译：锂离子电池充电是电动汽车能源管理中的关键问题。在考虑各种矛盾的目标和约束的同时，开发合适的充电模式是电池管理中一个关键但具有挑战性的主题。本文开发了一种基于模型的策略，该策略可优化充电模式，同时考虑各种关键参数，例如充电速度，能量转换效率以及温度变化。为此，首先引入了将电特性和热特性结合在一起的电池模型。制定了三个关键但相互矛盾的目标，包括充电时间，能量损失和特别是针对内部温度的温度上升。然后，采用基于多目标生物地理学的优化（M-BBO）方法来搜索最佳计费模式并平衡具有不同组合的各种目标。比较了四种M-BBO方法的优化结果，并详细分析了具有各种双目标和三目标的电池充电的Pareto前沿。实验结果证实，所开发的策略可以提供可行的充电模式，并在充电速度，能量转换效率和温度变化之间取得理想的平衡。通过该策略获得的帕累托前沿可以作为调整充电方式以进一步满足不同充电应用中各种要求的参考。

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