展示HN:来自混合品牌LiFePO₄电池组的数据

3作者: wkcollis125 天前原帖
嗨,HN— 我分享一个来自DIY能源存储项目的实证长期数据集,该项目最终测试了电池设计中的一个常见假设。 传统建议是绝不要混合不同品牌的电池。这一指导原则在串联配置中是有充分依据的,但对于纯并联配置的数据却出奇地少。 我构建了一个12伏、500安时的LiFePO₄电池组(1S5P),使用了混合品牌的电池单元,并对其进行了73天以上的连续监测,包括高频电压采样。目标是观察在并联拓扑中,单元级别的差异是否会随着时间的推移而显现。 数据结果显示: - 在观察期间没有出现逐渐的电压偏差 - 电压差保持在约10-15毫伏以内 - 测得的Peukert指数约为1.00 - 热效应相对于仪器噪声较小 实际上,当互连电阻较低时,并联架构似乎会强制电气收敛。我称之为“架构免疫”——即在特定条件下,拓扑结构可以主导单元级别的不匹配。 这并不是建议随意混合电池,也不是安全保证。这是试图用测量数据替代民间传说,并定义在何种边界条件下这一现象成立或不成立。 所有数据都是公开的: - 原始CSV数据 - 分析脚本 - 完整PDF报告 - 复制协议 仓库地址: [https://github.com/wkcollis1-eng/Lifepo4-Battery-Banks](https://github.com/wkcollis1-eng/Lifepo4-Battery-Banks) 我发布这个内容是为了邀请批评——特别是关于故障模式、仪器限制或该模型可能失效的情况(例如,更高的C率、老化不对称、热梯度、不同化学成分)。 欢迎提出技术问题。
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Hi HN — I’m sharing an empirical, long-term dataset from a DIY energy-storage project that ended up testing a common assumption in battery design.<p>Conventional advice says never mix battery brands. That guidance is well-founded for series strings, but there’s surprisingly little data on purely parallel configurations.<p>I built a 12 V, 500 Ah LiFePO₄ battery bank (1S5P) using mixed-brand cells and instrumented it for continuous monitoring over 73+ days, including high-frequency voltage sampling. The goal was to see whether cell-level differences actually manifest over time in a parallel topology.<p>What the data shows<p>No progressive voltage divergence across the observation period<p>Voltage spread remained within ~10–15 mV<p>Measured Peukert exponent ≈ 1.00<p>Thermal effects were small relative to instrumentation noise<p>In practice, the parallel architecture appears to force electrical convergence when interconnect resistance is low. I’ve been referring to this as “architectural immunity” — the idea that topology can dominate cell-level mismatch under specific conditions.<p>This is not a recommendation to mix batteries casually, and it’s not a safety guarantee. It’s an attempt to replace folklore with measurements and to define the boundary conditions where this does or does not hold.<p>Everything is public:<p>Raw CSV data<p>Analysis scripts<p>Full PDF report<p>Replication protocol<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;wkcollis1-eng&#x2F;Lifepo4-Battery-Banks" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;wkcollis1-eng&#x2F;Lifepo4-Battery-Banks</a><p>I’m posting this to invite critique — especially around failure modes, instrumentation limits, or cases where this model would break down (e.g., higher C-rates, aging asymmetry, thermal gradients, different chemistries).<p>Happy to answer technical questions.