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首页> 外文期刊>Journal of power sources >A field operational test on valve-regulated lead-acid absorbent-glass-mat batteries in micro-hybrid electric vehicles. Part II. Results based on multiple regression analysis and tear-down analysis
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A field operational test on valve-regulated lead-acid absorbent-glass-mat batteries in micro-hybrid electric vehicles. Part II. Results based on multiple regression analysis and tear-down analysis

机译：微型混合动力电动汽车中阀控铅酸吸收性玻璃毡电池的现场操作测试。第二部分基于多元回归分析和拆卸分析的结果

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摘要

In the first part of this work [1] a field operational test (FOT) on micro-HEVs (hybrid electric vehicles) and conventional vehicles was introduced. Valve-regulated lead-acid (VRLA) batteries in absorbent glass mat (AGM) technology and flooded batteries were applied. The FOT data were analyzed by kernel density estimation. In this publication multiple regression analysis is applied to the same data. Square regression models without interdependencies are used. Hereby, capacity loss serves as dependent parameter and several battery-related and vehicle-related parameters as independent variables. Battery temperature is found to be the most critical parameter. It is proven that flooded batteries operated in the conventional power system (CPS) degrade faster than VRLA-AGM batteries in the micro-hybrid power system (MHPS). A smaller number of FOT batteries were applied in a vehicle-assigned test design where the test battery is repeatedly mounted in a unique test vehicle. Thus, vehicle category and specific driving profiles can be taken into account in multiple regression. Both parameters have only secondary influence on battery degradation, instead, extended vehicle rest time linked to low mileage performance is more serious. A tear-down analysis was accomplished for selected VRLA-AGM batteries operated in the MHPS. Clear indications are found that pSoC-operation with periodically fully charging the battery (refresh charging) does not result in sulphation of the negative electrode. Instead, the batteries show corrosion of the positive grids and weak adhesion of the positive active mass.
机译：在这项工作的第一部分[1]中，对微型混合动力汽车（混合动力汽车）和传统汽车进行了现场操作测试（FOT）。采用吸水玻璃毡（AGM）技术中的阀控铅酸（VRLA）电池和满液电池。通过核密度估计分析FOT数据。在该出版物中，将多元回归分析应用于同一数据。使用没有相互依赖性的平方回归模型。因此，容量损失用作因变量，几个电池相关参数和车辆相关参数用作自变量。发现电池温度是最关键的参数。事实证明，在常规电源系统（CPS）中运行的满液电池比在微混合电源系统（MHPS）中的VRLA-AGM电池降解得更快。在车辆分配的测试设计中使用了较少数量的FOT电池，其中测试电池反复安装在独特的测试车辆中。因此，可以在多元回归中考虑车辆类别和特定的驾驶轮廓。这两个参数仅对电池性能有次要影响，相反，延长的车辆休息时间与低行驶里程性能相关，这一点更为严重。对在MHPS中运行的选定VRLA-AGM电池进行了拆解分析。发现明确的迹象表明，pSoC在定期对电池充满电（刷新充电）的操作下不会导致负极硫酸化。取而代之的是，电池表现出正极格栅的腐蚀和正极活性物质的弱附着力。

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