INR18650-LG-3500-MJ1 Anode GITT Parameterization Review

Scope This record contains results from applying EP-BOLFI to a GITT (without intermittent EIS) measurement on the harvested anode of the INR18650-MJ1 Li-ion battery cell from LG CHEM. Metadata Filename Description Format Usage lg_mj1_parameterize_negative_diffusivity_{de}lithiation_[({n},{n}+2)]_{model}()_optimization.log Direct command line log of the EP-BOLFI optimization routine of data segments {n} and {n+1} and of {model} from SPM, SPMe, or DFN, for negative electrode diffusivity in (de-)lithiation direction. PDF (text/plain) Check of the performance and efficiency with the given optimizer settings, and possibly retrieval of intermediate results. lg_mj1_parameterize_negative_diffusivity_{de}lithiation_[({n},{n}+2)]_{model}()evaluations.json Structured dump of all parameter sets EP-BOLFI tried out and the feature values the SPM, SPMe, or DFN {model} gave of data segments {n} and {n+1} for negative electrode diffusivity in (de-)lithiation direction. JSON (application/json) Post-processing of convergence and analysis of posterior predictive distribution. lg_mj1_parameterize_negative_diffusivity_{de}lithiation_[({n},{n}+2)]_{model}()_parameterization.json Structured dump of results and inner state of EP-BOLFI at the end of the optimization routine of data segments {n} and {n+1} and of {model} from SPM, SPMe, or DFN, for negative electrode diffusivity in (de-)lithiation direction. JSON (application/json) Programmatically retrieve mean results, errorbars, and correlation or covariance. May be used to re-initialize an EP-BOLFI instance with the final state for further refinement optimization. lg_mj1_parameterize_negative_diffusivity_{de}lithiation_optimizer_input_[({n},{n}+2)]_{model}()_plot.pdf Plot showing the data of data segments {n} and {n+1} and the simulation of the mean of the posterior parameter distribution of {model} from SPM, SPMe, or DFN, for negative electrode diffusivity in (de-)lithiation direction and the extent of variation of the model within posterior variance and without inherent parameter uncertainty. PDF (application/pdf) Visual verification that the posterior parameter distribution is a sensible parameterization. lg_mj1_parameterize_negative_diffusivity_{de}lithiation_optimizer_input_[({n},{n}+2)]_{model}()_voltage_components.pdf A component analysis of the mean posterior parameter distribution simulation of {model} from SPM, SPMe, or DFN, for negative electrode diffusivity in (de-)lithiation direction. PDF (application/pdf) Visual analysis of the relative magnitude of various battery phenomena, and if the desired one has the expected effect. Related Resources Relationship Record Description isPartOf INR18650-LG-3500-MJ1 Anode Parameterization This collection contains records with workflows to parameterize with EP-BOLFI EIS and GITT measurements parameters from a harvested negative electrode (anode) of the INR18650-MJ1 cylindrical Li-ion battery cell manufactured by LG CHEM. Continues 18650-LG-3500-MJ1 Anode GITT Parameterization This record contains workflows to parameterize with EP-BOLFI a GITT (without intermittent EIS) measurement. IsContinuedBy 18650-LG-3500-MJ1 Anode GITT Parameter Collection This record contains workflows to collect the parameterizations on individual SOC points with EP-BOLFI of a GITT without intermittent EIS) measurement on the harvested negative electrode (anode) of an INR18650-MJ1 Li-ion cell from LG CHEM. The result is a reasonable fitting spline for each estimated parameter as a function of SOC. Licensing This dataset is licensed under CC-BY 4.0, allowing for sharing and adaptation with proper attribution. Contact Information For questions or further assistance, please contact Dennis Kopljar at [e-mail]. References This dataset is linked to the following publication: [DOI/Link to publication].# 数据集范围 本数据集收录了将EP-BOLFI应用于LG化学（LG CHEM）生产的INR18650-MJ1型锂离子电池电芯拆机负极极片的GITT（恒电流间歇滴定技术，无间歇EIS（电化学阻抗谱））测量数据，经参数化优化分析所得的全部结果。 ## 元数据 以下为各数据文件的元信息： 1. **文件名**：lg_mj1_parameterize_negative_diffusivity_{脱/嵌}锂_[({n},{n}+2)]_{model}()_optimization.log **文件说明**：该文件为EP-BOLFI优化程序的命令行原生日志，针对SPM（单粒子模型）、SPMe（带电解液单粒子模型）或DFN（多伊尔-富勒-纽曼模型）下的{n}与{n+1}号数据段，开展负极极片脱/嵌锂方向扩散系数的参数化优化流程。 **文件格式**：PDF (text/plain) **使用场景**：用于基于指定优化器配置验证优化性能与效率，亦可按需提取中间优化结果。 2. **文件名**：lg_mj1_parameterize_negative_diffusivity_{脱/嵌}锂_[({n},{n}+2)]_{model}()evaluations.json **文件说明**：该文件为结构化转储文件，存储了EP-BOLFI遍历过的全部参数组合，以及SPM、SPMe或DFN模型针对{n}与{n+1}号数据段、负极脱/嵌锂方向扩散系数计算得到的特征值。 **文件格式**：JSON (application/json) **使用场景**：用于收敛性后处理以及后验预测分布的分析工作。 3. **文件名**：lg_mj1_parameterize_negative_diffusivity_{脱/嵌}锂_[({n},{n}+2)]_{model}()_parameterization.json **文件说明**：该文件为结构化转储文件，存储了针对SPM、SPMe或DFN模型下的{n}与{n+1}号数据段、负极脱/嵌锂方向扩散系数开展的EP-BOLFI优化流程结束后的最终优化结果与程序内部状态。 **文件格式**：JSON (application/json) **使用场景**：支持程序化提取平均结果、误差棒以及参数间的相关性或协方差，可用于以最终优化状态重新初始化EP-BOLFI实例，开展进一步的精细化优化。 4. **文件名**：lg_mj1_parameterize_negative_diffusivity_{脱/嵌}锂_optimizer_input_[({n},{n}+2)]_{model}()_plot.pdf **文件说明**：该文件为可视化图表，展示了{n}与{n+1}号数据段的实测数据，以及SPM、SPMe或DFN模型针对负极脱/嵌锂方向扩散系数得到的后验参数分布均值的仿真结果，同时标注了模型在后验方差范围内的波动幅度与无固有参数不确定性时的波动情况。 **文件格式**：PDF (application/pdf) **使用场景**：用于可视化验证后验参数分布是否为合理的参数化方案。 5. **文件名**：lg_mj1_parameterize_negative_diffusivity_{脱/嵌}锂_optimizer_input_[({n},{n}+2)]_{model}()_voltage_components.pdf **文件说明**：该文件为可视化分析图表，对SPM、SPMe或DFN模型针对负极脱/嵌锂方向扩散系数得到的后验参数分布均值的仿真结果开展了分量分析。 **文件格式**：PDF (application/pdf) **使用场景**：用于可视化分析各类电池电化学反应现象的相对幅值，以及目标现象是否达到预期效果。 ## 关联资源 以下为各关联资源信息： 1. **关联关系**：isPartOf（属于） **关联数据集**：INR18650-LG-3500-MJ1 Anode Parameterization **关联说明**：本数据集属于INR18650-LG-3500-MJ1型负极极片参数化数据集集合，该集合包含通过EP-BOLFI对LG化学生产的INR18650-MJ1型圆柱形锂离子电池电芯拆机负极极片的EIS与GITT测量数据开展参数化建模的全部工作流记录。 2. **关联关系**：Continues（延续） **关联数据集**：18650-LG-3500-MJ1 Anode GITT Parameterization **关联说明**：本数据集延续了18650-LG-3500-MJ1型负极极片GITT参数化数据集的工作内容，该数据集包含针对无间歇EIS的GITT测量数据开展EP-BOLFI参数化建模的工作流。 3. **关联关系**：IsContinuedBy（被承接） **关联数据集**：18650-LG-3500-MJ1 Anode GITT Parameter Collection **关联说明**：本数据集后续由18650-LG-3500-MJ1型负极极片GITT参数化数据集集合承接，该集合包含针对LG化学生产的INR18650-MJ1型锂离子电池电芯拆机负极极片的无间歇EIS GITT测量数据，通过EP-BOLFI在各SOC（荷电状态，State of Charge）点开展参数化建模的工作流，最终可得到各估算参数随SOC变化的合理拟合样条曲线。 ## 授权许可 本数据集采用CC-BY 4.0协议进行授权，允许用户在注明原作者的前提下进行共享与二次改编。 ## 联系方式 如有疑问或需要进一步协助，请联系Dennis Kopljar，邮箱：[e-mail]。 ## 参考文献 本数据集关联以下出版物：[出版物DOI/链接]。