# Battery Degradation Maps for Power System Optimization and as a   Benchmark Reference

**Authors:** Philipp Fortenbacher, G\"oran Andersson

arXiv: 1703.03690 · 2019-03-19

## TL;DR

This paper introduces degradation maps that model battery capacity loss based on control actions and state of charge, enabling improved power system optimization and benchmarking across various battery technologies.

## Contribution

It proposes a novel, scalable method using convex piece-wise affine degradation maps for modeling battery degradation in power system applications.

## Key findings

- Degradation maps effectively model capacity loss as a function of control actions.
- The maps are scalable and can be adapted to different battery sizes and technologies.
- Published parameters facilitate benchmarking of battery technologies.

## Abstract

This paper presents a novel method to describe battery degradation. We use the concept of degradation maps to model the incremental charge capacity loss as a function of discrete battery control actions and state of charge. The maps can be scaled to represent any battery system in size and power. Their convex piece-wise affine representations allow for tractable optimal control formulations and can be used in power system simulations to incorporate battery degradation. The map parameters for different battery technologies are published making them an useful basis to benchmark different battery technologies in case studies.

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1703.03690/full.md

## References

17 references — full list in the complete paper: https://tomesphere.com/paper/1703.03690/full.md

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Source: https://tomesphere.com/paper/1703.03690