Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads

Understanding dynamic behavior of a battery and the possibility of simulating it is necessary during design of IoT systems. This plays a critical role, especially for industrial devices with low-power demands planned for long lasting operation. While cost limitation mostly leads to use of the low-bu...

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Main Author: Mojtaba Masoudinejad
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Batteries
Subjects:
Online Access:https://www.mdpi.com/2313-0105/6/4/50
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spelling doaj-b8c86584bd5842ac9be1b524185c1f252020-11-25T02:19:29ZengMDPI AGBatteries2313-01052020-10-016505010.3390/batteries6040050Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power LoadsMojtaba Masoudinejad0Chair of Materials Handling and Warehousing, TU Dortmund University, Joseph-von-Fraunhofer-Str. 2-4, 44227 Dortmund, GermanyUnderstanding dynamic behavior of a battery and the possibility of simulating it is necessary during design of IoT systems. This plays a critical role, especially for industrial devices with low-power demands planned for long lasting operation. While cost limitation mostly leads to use of the low-budget batteries with fast degradation, a model of these batteries supplying low-power loads is provided here. The overall model is in open-loop form because no access to the terminal measurements is available during the design phase. The identification process of the relation between the state of charge and related electromotive force as a key element of the model is discussed. Moreover, guidelines are suggested for identification of this relation. Furthermore, SoC estimation based on the Coulomb counting is modified to include a dynamic inter-cycle aging factor. This factor enables replication of the degradation within a single cycle. In spite of simplicity of this concept, it is able to reduce the model’s estimation error evaluated with two different types of loads. The overall model provides promising results with relative errors less than 0.2%.https://www.mdpi.com/2313-0105/6/4/50modelingLi-ion batterylow-budget batterylow-powerdynamic aging
collection DOAJ
language English
format Article
sources DOAJ
author Mojtaba Masoudinejad
spellingShingle Mojtaba Masoudinejad
Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads
Batteries
modeling
Li-ion battery
low-budget battery
low-power
dynamic aging
author_facet Mojtaba Masoudinejad
author_sort Mojtaba Masoudinejad
title Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads
title_short Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads
title_full Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads
title_fullStr Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads
title_full_unstemmed Open-Loop Dynamic Modeling of Low-Budget Batteries with Low-Power Loads
title_sort open-loop dynamic modeling of low-budget batteries with low-power loads
publisher MDPI AG
series Batteries
issn 2313-0105
publishDate 2020-10-01
description Understanding dynamic behavior of a battery and the possibility of simulating it is necessary during design of IoT systems. This plays a critical role, especially for industrial devices with low-power demands planned for long lasting operation. While cost limitation mostly leads to use of the low-budget batteries with fast degradation, a model of these batteries supplying low-power loads is provided here. The overall model is in open-loop form because no access to the terminal measurements is available during the design phase. The identification process of the relation between the state of charge and related electromotive force as a key element of the model is discussed. Moreover, guidelines are suggested for identification of this relation. Furthermore, SoC estimation based on the Coulomb counting is modified to include a dynamic inter-cycle aging factor. This factor enables replication of the degradation within a single cycle. In spite of simplicity of this concept, it is able to reduce the model’s estimation error evaluated with two different types of loads. The overall model provides promising results with relative errors less than 0.2%.
topic modeling
Li-ion battery
low-budget battery
low-power
dynamic aging
url https://www.mdpi.com/2313-0105/6/4/50
work_keys_str_mv AT mojtabamasoudinejad openloopdynamicmodelingoflowbudgetbatterieswithlowpowerloads
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