Aging-Aware Battery Control via Convex Optimization

Fuente: arXiv
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Autori principali: Nnorom Jr., Obidike, Ogut, Giray, Boyd, Stephen, Levis, Philip
Natura: Preprint
Pubblicazione: 2025
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author Nnorom Jr., Obidike
Ogut, Giray
Boyd, Stephen
Levis, Philip
author_facet Nnorom Jr., Obidike
Ogut, Giray
Boyd, Stephen
Levis, Philip
contents We consider the task of controlling a battery while balancing two competing objectives that evolve over different time scales. The short-term objective, such as arbitrage or load smoothing, improves with more battery cycling, while the long-term objective is to maximize battery lifetime, which discourages cycling. Using a semi-empirical aging model, we formulate this problem as a convex optimization problem. We use model predictive control (MPC) with a convex approximation of aging dynamics to optimally manage the trade-off between performance and degradation. Through simulations, we quantify this trade-off in both economic and smoothing applications.
format Preprint
id arxiv_https___arxiv_org_abs_2505_09030
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Aging-Aware Battery Control via Convex Optimization
Nnorom Jr., Obidike
Ogut, Giray
Boyd, Stephen
Levis, Philip
Optimization and Control
Systems and Control
We consider the task of controlling a battery while balancing two competing objectives that evolve over different time scales. The short-term objective, such as arbitrage or load smoothing, improves with more battery cycling, while the long-term objective is to maximize battery lifetime, which discourages cycling. Using a semi-empirical aging model, we formulate this problem as a convex optimization problem. We use model predictive control (MPC) with a convex approximation of aging dynamics to optimally manage the trade-off between performance and degradation. Through simulations, we quantify this trade-off in both economic and smoothing applications.
title Aging-Aware Battery Control via Convex Optimization
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2505.09030