Update README.md
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![Example battery life predictions](example_battery_life.png)
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![Example battery life predictions](example_battery_life.png)
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## Caveats
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These battery models predict 'expected life', that is, battery life under nominal conditions. Many types of battery failure will not be predicted by these models:
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- Overcharge or overdischarge
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- Impact of physical damage, vibration, or humidity
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- Operating outside of manufacturer performance and environmental limits, such as voltage, temperature, and charge/discharge rate limits
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- Pack performance loss due to cell-to-cell inbalance
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Aging models are generally trained on a limited amount of data, that is, there is not enough information to estimate cell-to-cell variability in degradation rates.
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Battery 'warranty life' is generally much more conservative than 'expected life'.
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## Citations:
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## Citations:
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- Sony Murata LFP-Gr battery aging data and model
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- Sony Murata LFP-Gr battery aging data and model
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- [Calendar aging data source](https://doi.org/10.1016/j.est.2018.01.019)
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- [Calendar aging data source](https://doi.org/10.1016/j.est.2018.01.019)
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