基于多参数耦合模型的锂离子电池充电策略在智能物流系统中的研究进展

Research progress of lithium-ion battery charging strategy based on multi-parameter coupling model in intelligent logistics system

为有效优化锂离子电池充电行为,避免智能物流系统过量消耗电力信号,针对基于多参数耦合模型的锂离子电池充电策略在智能物流系统中的应用展开研究。定义多参数耦合模型表达式,在此基础上,研究锂离子电池的充电行为,并对其进行调节,根据点电荷存储量,确定锂离子电池的最大储能水平,从而实现基于多参数耦合模型的锂离子电池充电特性分析,再以充电效率、电池安全性、智能化充电三个因素作为切入点,研究锂离子电池优化充电策略在智能物流系统中的可行性。

To effectively optimize the charging behavior of lithium-ion batteries and avoid excessive consumption of power signals in intelligent logistics systems,research is conducted on the application of lithium-ion battery charging strategies based on multi parameter coupling models in intelligent logistics systems.Define a multi parameter coupling model expression,and based on this,study the charging behavior of lithium-ion batteries and adjust it.Determine the maximum energy storage level of lithium-ion batteries according to the point charge storage capacity,thereby realizing the analysis of lithium-ion battery charging characteristics based on the multi parameter coupling model.Then,take charging efficiency,battery safety,and intelligent charging as the entry points,study the feasibility of optimizing charging strategies for lithium-ion batteries in intelligent logistics systems.