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examples/04_New Models.ipynb

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"\n",
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"Note that because of the interconnected relationship between `threshold_met` and `event_state`, it is only required to define one of these. However, there are frequently computational advantages to specifying both. \n",
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"\n",
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"To illustrate this concept, we will use the `BatteryElectroChemEOD` model (see section 03. Included Models). In the standard implementation of this model, the defined event is `EOD` or End of Discharge. This occurs when the voltage drops below a pre-defined threshold value. The State-of-Charge (SOC) of the battery is the event state for the EOD event. Recall that event states (and therefore SOC) vary between 0 and 1, where 1 is healthy and 0 signifies the event has occurred. \n",
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"To illustrate this concept, we will use the `BatteryElectroChemEOD` model (see __[03 Included Models](03_Existing%20Models.ipynb)__). In the standard implementation of this model, the defined event is `EOD` or End of Discharge. This occurs when the voltage drops below a pre-defined threshold value. The State-of-Charge (SOC) of the battery is the event state for the EOD event. Recall that event states (and therefore SOC) vary between 0 and 1, where 1 is healthy and 0 signifies the event has occurred. \n",
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"\n",
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"Suppose we have the requirement that our battery must not fall below 5% State-of-Charge. This would correspond to an `EOD` event state of 0.05. Additionally, let's add events for two warning thresholds, a $\\text{\\textcolor{yellow}{yellow}}$ threshold at 15% SOC and a $\\text{\\textcolor{red}{red}}$ threshold at 10% SOC. \n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Recall that the battery model takes input of current. We will use a piecewise loading scheme (see 01. Simulation)."
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"Recall that the battery model takes input of current. We will use a piecewise loading scheme."
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]
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},
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{
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.11.0 64-bit",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.0"
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"version": "3.10.5"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}

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