Metalloporphyrins containing different substitute groups (methyl, methoxy) on the base of phenyl and different metals (Zn,Fe,Co) were synthesized and characterized by EA, UV/vis and 1H NMR.Effects of different substit...Metalloporphyrins containing different substitute groups (methyl, methoxy) on the base of phenyl and different metals (Zn,Fe,Co) were synthesized and characterized by EA, UV/vis and 1H NMR.Effects of different substitute groups and metal ions showed above on the electrochemical behavior of redox were studied by means of the cyclic voltammograms method(CV)in the DMSO solution with TBAP as supporting electrolyte. Furthermore, catalyzed oxygen reduction behavior of cobalt tetramethoxyphenylporphyrin(CoTMPP) based catalysts by CV in 0.5 mol·L -1 H 2SO 4 was investigated.展开更多
电化学阻抗谱(electrochemical impedance spectroscopy,EIS)蕴含丰富的电池健康状态(state of health,SOH)信息,但不同频率的电化学阻抗数据间并不相互独立,直接利用全频段EIS数据构建SOH估计模型,往往存在精度低、计算复杂度高等问题...电化学阻抗谱(electrochemical impedance spectroscopy,EIS)蕴含丰富的电池健康状态(state of health,SOH)信息,但不同频率的电化学阻抗数据间并不相互独立,直接利用全频段EIS数据构建SOH估计模型,往往存在精度低、计算复杂度高等问题。鉴于此,本文提出了一种基于特征选择和高斯过程回归的SOH估计方法,可通过序贯前向搜索策略,结合交叉验证均方根误差指标,逐步搜索阻抗特征子集。基于此,采用基于水平图的多目标可视化决策方法,以均衡模型复杂度与精度为目标,综合考虑特征个数与交叉验证均方根误差,实施阻抗特征子集优选。所提方法已成功地应用于公开发表数据集。相比全频段EIS建模方法,本文作者所提方法可显著提升SOH估计精度,大幅降低EIS测试时间,为电化学阻抗技术应用于SOH在线估计提供理论和技术支撑。展开更多
基金国家自然科学基金 (No 5 0 2 3 60 10 )国家 863计划 (No 2 0 0 2AA3 2 3 0 40 )资助项目~~
文摘Metalloporphyrins containing different substitute groups (methyl, methoxy) on the base of phenyl and different metals (Zn,Fe,Co) were synthesized and characterized by EA, UV/vis and 1H NMR.Effects of different substitute groups and metal ions showed above on the electrochemical behavior of redox were studied by means of the cyclic voltammograms method(CV)in the DMSO solution with TBAP as supporting electrolyte. Furthermore, catalyzed oxygen reduction behavior of cobalt tetramethoxyphenylporphyrin(CoTMPP) based catalysts by CV in 0.5 mol·L -1 H 2SO 4 was investigated.
基金supported by the National Natural Science Foundation of China (21073120, 20773087, 21006063)Science and Technology Commission of Shanghai Municipality, China (09DZ1203603, 10DZ1202702)~~
文摘电化学阻抗谱(electrochemical impedance spectroscopy,EIS)蕴含丰富的电池健康状态(state of health,SOH)信息,但不同频率的电化学阻抗数据间并不相互独立,直接利用全频段EIS数据构建SOH估计模型,往往存在精度低、计算复杂度高等问题。鉴于此,本文提出了一种基于特征选择和高斯过程回归的SOH估计方法,可通过序贯前向搜索策略,结合交叉验证均方根误差指标,逐步搜索阻抗特征子集。基于此,采用基于水平图的多目标可视化决策方法,以均衡模型复杂度与精度为目标,综合考虑特征个数与交叉验证均方根误差,实施阻抗特征子集优选。所提方法已成功地应用于公开发表数据集。相比全频段EIS建模方法,本文作者所提方法可显著提升SOH估计精度,大幅降低EIS测试时间,为电化学阻抗技术应用于SOH在线估计提供理论和技术支撑。
