Abstract
The current electrochemical models of lithium-ion power batteries have many problems, such as complex models, difficult modeling, low computational efficiency and poor aging evaluation effect. In this paper, a mechanism model (ADME) considering battery decay and aging is proposed. In this paper, the pseudo-two-dimensions (P2D) electrochemical model is first reduced by finite difference method to obtain a simplified P2D (SP2D). On the basis of SP2D model, a mechanism model considering battery decay and aging is proposed, which is based on the degradation and aging phenomenon caused by the side reactions between positive and negative electrodes. Secondly, the multivariate deviation compensation least square method is used to identify the model parameters. Finally, the terminal voltage output of SP2D model is compared with that of ADME model and the outputs from the two models are also analyzed through the cycle experiment on power battery aging performance, constant current and pulse condition. The results show that the ADME model is relatively simple, has high computational efficiency and estimation accuracy, and can effectively evaluate the aging decline of battery capacity, and obtain the ideal external characteristic curve of lithium ion power battery.
Highlights
The results show that the ADME model is s relatively simple, has high computational efficiency and estimation accuracy, and can effectively evaluate the s aging decline of battery capacity, and obtain the ideal external characteristic curve of lithium ion power e battery
3) 通过对比分析, 建立的 ADME 模型不仅可 以预测电池的容量衰退轨迹, 还可以有效评估电池 容量老化衰退, 得到高精度电压仿真值
Summary
在 SP2D 模型的基础上, 基于阴阳两极发生的副反应导致的 衰退老化现象, 提出一种考虑电池衰退老化的机理模型 (ADME). 综上, 本文建立了考虑电池衰退机理的电化学 模型: 基于简化伪二维 (simplified pseudo-two-dimensions, SP2D) 模型, 对电池两极的老化进行分析, 建立电化学老化衰退模型 (electrochemical aging decay model, ADME); 利用有限差分法对模型中 复杂的偏微分方程进行离散降维处理, 求出了电 池端电压计算表达式; 确定模型高灵敏度参数, 利 用多变量偏差补偿最小二乘法对模型进行参数辨 识; 最后设计了实验方案, 对模型仿真结果进行了 验证. 于单体电池出厂的不一致性造成; 1000 次循环下 容量的保持率在 95% 左右; 高温 45 和 55 °C, 1C 恒流恒压充放电条件下, 600 次循环下容量的保持 率在 92% 左右; 而在循环实验后期, 电池容量保持 率出现大幅下降, 电池加速衰退老化. I0 = kscαe a (cs,max − cs,e)αa (cs,e)αc .
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