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首页> 外文期刊>Journal of Energy Storage >Lithium-ion whole-cell design and charging protocol optimization within safe operating conditions
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Lithium-ion whole-cell design and charging protocol optimization within safe operating conditions

机译：锂离子全电池设计和充电协议优化在安全操作条件下

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The main phenomena of battery degradation occur during the charge and, unlike the discharge, this process can be predefined and controlled. In this paper, the optimization of different charging protocols is proposed, considering three different objectives: charging time minimization, charge capacity maximization and consumed energy minimization. These optimization problems are subject to security constraints that define a feasible region, which offers protection against the main cell degradation phenomena. The study is posed by applying a phenomenological cell model in a mathematical programming environment. In addition, the whole-cell design optimization is presented within this framework and an analysis of internal energy losses is performed, allowing a holistic understanding of the system performance and the influence of each of its variables during the charging process. Therefore, the proposed approach allows the simultaneous optimization of the multiple design and operation variables. The characteristic variables for a particular chemistry and a given cell design are obtained: minimum full charge time, optimal constant charge current and the current and voltage values at the end of charge. Furthermore, an expression of an optimal theoretical charging protocol is obtained through the minimization of the consumed energy. Simulation results show considerable improvements in the objectives, such as a reduction of 30% in the total charging time for the traditional CC-CV protocol when multiple cell design variables are optimized.
机译：电池劣化的主要现象发生在充电期间，与放电不同，该过程可以预先义和控制。在本文中，提出了考虑三种不同的收费协议的优化：充电时间最小化，充电容量最大化和消耗的能量最小化。这些优化问题受到定义可行区域的安全约束的影响，该区域提供了针对主电池降级现象的保护。该研究通过在数学规划环境中应用现象学细胞模型来构成。此外，在该框架内呈现全小区设计优化，并且进行了内部能量损失的分析，允许在充电过程中对系统性能的整体理解和每个变量的影响。因此，所提出的方法允许同时优化多种设计和操作变量。获得特定化学的特性变量和给定的电池设计：最小的完全电荷时间，最佳恒定电荷电流和电荷结束时的电流和电压值。此外，通过最小化消耗的能量获得最佳理论充电协议的表达。仿真结果表明，当优化多个电池设计变量时，目标的目标相当大的改进，例如传统CC-CV协议的总充电时间中的30％。

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