A Temperature-Dependent Battery Model for Wireless Sensor Networks
Energy consumption is a major issue in Wireless Sensor Networks (WSNs), as nodes are powered by chemical batteries with an upper bounded lifetime. Estimating the lifetime of batteries is a difficult task, as it depends on several factors, such as operating temperatures and discharge rates. Analytica...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-02-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/17/2/422 |
| _version_ | 1811301515702304768 |
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| author | Leonardo M. Rodrigues Carlos Montez Ricardo Moraes Paulo Portugal Francisco Vasques |
| author_facet | Leonardo M. Rodrigues Carlos Montez Ricardo Moraes Paulo Portugal Francisco Vasques |
| author_sort | Leonardo M. Rodrigues |
| collection | DOAJ |
| description | Energy consumption is a major issue in Wireless Sensor Networks (WSNs), as nodes are powered by chemical batteries with an upper bounded lifetime. Estimating the lifetime of batteries is a difficult task, as it depends on several factors, such as operating temperatures and discharge rates. Analytical battery models can be used for estimating both the battery lifetime and the voltage behavior over time. Still, available models usually do not consider the impact of operating temperatures on the battery behavior. The target of this work is to extend the widely-used Kinetic Battery Model (KiBaM) to include the effect of temperature on the battery behavior. The proposed Temperature-Dependent KiBaM (T-KiBaM) is able to handle operating temperatures, providing better estimates for the battery lifetime and voltage behavior. The performed experimental validation shows that T-KiBaM achieves an average accuracy error smaller than 0.33%, when estimating the lifetime of Ni-MH batteries for different temperature conditions. In addition, T-KiBaM significantly improves the original KiBaM voltage model. The proposed model can be easily adapted to handle other battery technologies, enabling the consideration of different WSN deployments. |
| first_indexed | 2024-04-13T07:10:14Z |
| format | Article |
| id | doaj.art-80137dda8e294bb68ac3f52094160793 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:10:14Z |
| publishDate | 2017-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-80137dda8e294bb68ac3f520941607932022-12-22T02:56:54ZengMDPI AGSensors1424-82202017-02-0117242210.3390/s17020422s17020422A Temperature-Dependent Battery Model for Wireless Sensor NetworksLeonardo M. Rodrigues0Carlos Montez1Ricardo Moraes2Paulo Portugal3Francisco Vasques4Department of Automation and Systems, UFSC—Federal University of Santa Catarina, 88040-900 Florianópolis, BrazilDepartment of Automation and Systems, UFSC—Federal University of Santa Catarina, 88040-900 Florianópolis, BrazilDepartment of Computing, UFSC—Federal University of Santa Catarina, 88905-120 Araranguá, BrazilINEGI/INESC-TEC—Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalINEGI/INESC-TEC—Faculty of Engineering, University of Porto, 4200-465 Porto, PortugalEnergy consumption is a major issue in Wireless Sensor Networks (WSNs), as nodes are powered by chemical batteries with an upper bounded lifetime. Estimating the lifetime of batteries is a difficult task, as it depends on several factors, such as operating temperatures and discharge rates. Analytical battery models can be used for estimating both the battery lifetime and the voltage behavior over time. Still, available models usually do not consider the impact of operating temperatures on the battery behavior. The target of this work is to extend the widely-used Kinetic Battery Model (KiBaM) to include the effect of temperature on the battery behavior. The proposed Temperature-Dependent KiBaM (T-KiBaM) is able to handle operating temperatures, providing better estimates for the battery lifetime and voltage behavior. The performed experimental validation shows that T-KiBaM achieves an average accuracy error smaller than 0.33%, when estimating the lifetime of Ni-MH batteries for different temperature conditions. In addition, T-KiBaM significantly improves the original KiBaM voltage model. The proposed model can be easily adapted to handle other battery technologies, enabling the consideration of different WSN deployments.http://www.mdpi.com/1424-8220/17/2/422WSNbattery modelingKiBaMthermal effect |
| spellingShingle | Leonardo M. Rodrigues Carlos Montez Ricardo Moraes Paulo Portugal Francisco Vasques A Temperature-Dependent Battery Model for Wireless Sensor Networks Sensors WSN battery modeling KiBaM thermal effect |
| title | A Temperature-Dependent Battery Model for Wireless Sensor Networks |
| title_full | A Temperature-Dependent Battery Model for Wireless Sensor Networks |
| title_fullStr | A Temperature-Dependent Battery Model for Wireless Sensor Networks |
| title_full_unstemmed | A Temperature-Dependent Battery Model for Wireless Sensor Networks |
| title_short | A Temperature-Dependent Battery Model for Wireless Sensor Networks |
| title_sort | temperature dependent battery model for wireless sensor networks |
| topic | WSN battery modeling KiBaM thermal effect |
| url | http://www.mdpi.com/1424-8220/17/2/422 |
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